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Created March 16, 2017 14:08
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vgg19.stdout.txt
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=> creating model 'vgg19'
Epoch: [0][0/5005] Time 26.047 (26.047) Data 3.729 (3.729) Loss 6.9086 (6.9086) Prec@1 0.000 (0.000) Prec@5 0.781 (0.781)
Epoch: [0][10/5005] Time 0.618 (2.901) Data 0.000 (0.339) Loss 6.9131 (6.9109) Prec@1 0.000 (0.107) Prec@5 0.781 (0.355)
Epoch: [0][20/5005] Time 0.606 (1.811) Data 0.000 (0.178) Loss 6.9147 (6.9107) Prec@1 0.000 (0.074) Prec@5 0.391 (0.465)
Epoch: [0][30/5005] Time 0.614 (1.425) Data 0.000 (0.121) Loss 6.9071 (6.9101) Prec@1 0.000 (0.088) Prec@5 0.391 (0.466)
Epoch: [0][40/5005] Time 0.614 (1.226) Data 0.001 (0.091) Loss 6.9108 (6.9097) Prec@1 0.000 (0.076) Prec@5 0.391 (0.467)
Epoch: [0][50/5005] Time 0.620 (1.106) Data 0.000 (0.074) Loss 6.9059 (6.9094) Prec@1 0.000 (0.061) Prec@5 0.000 (0.414)
Epoch: [0][60/5005] Time 0.616 (1.025) Data 0.000 (0.062) Loss 6.9076 (6.9091) Prec@1 0.391 (0.077) Prec@5 0.781 (0.474)
Epoch: [0][70/5005] Time 0.621 (0.967) Data 0.000 (0.053) Loss 6.9082 (6.9089) Prec@1 0.000 (0.072) Prec@5 0.781 (0.462)
Epoch: [0][80/5005] Time 0.611 (0.924) Data 0.001 (0.046) Loss 6.9092 (6.9088) Prec@1 0.000 (0.072) Prec@5 0.000 (0.458)
Epoch: [0][90/5005] Time 0.611 (0.890) Data 0.000 (0.041) Loss 6.9057 (6.9086) Prec@1 0.000 (0.086) Prec@5 0.000 (0.451)
Epoch: [0][100/5005] Time 0.613 (0.862) Data 0.000 (0.037) Loss 6.9089 (6.9086) Prec@1 0.000 (0.089) Prec@5 0.391 (0.460)
Epoch: [0][110/5005] Time 0.609 (0.840) Data 0.000 (0.034) Loss 6.9099 (6.9085) Prec@1 0.000 (0.095) Prec@5 0.000 (0.457)
Epoch: [0][120/5005] Time 0.614 (0.821) Data 0.000 (0.031) Loss 6.9072 (6.9084) Prec@1 0.000 (0.087) Prec@5 0.781 (0.458)
Epoch: [0][130/5005] Time 0.617 (0.806) Data 0.000 (0.029) Loss 6.9061 (6.9083) Prec@1 0.391 (0.092) Prec@5 1.172 (0.483)
Epoch: [0][140/5005] Time 0.608 (0.792) Data 0.000 (0.027) Loss 6.9067 (6.9083) Prec@1 0.391 (0.097) Prec@5 1.172 (0.490)
Epoch: [0][150/5005] Time 0.609 (0.780) Data 0.000 (0.025) Loss 6.9108 (6.9082) Prec@1 0.000 (0.093) Prec@5 0.781 (0.484)
Epoch: [0][160/5005] Time 0.607 (0.770) Data 0.000 (0.024) Loss 6.9063 (6.9082) Prec@1 0.000 (0.092) Prec@5 0.391 (0.497)
Epoch: [0][170/5005] Time 0.609 (0.761) Data 0.000 (0.022) Loss 6.9071 (6.9081) Prec@1 0.000 (0.094) Prec@5 0.391 (0.489)
Epoch: [0][180/5005] Time 0.609 (0.752) Data 0.000 (0.021) Loss 6.9108 (6.9081) Prec@1 0.000 (0.093) Prec@5 0.781 (0.492)
Epoch: [0][190/5005] Time 0.613 (0.745) Data 0.000 (0.020) Loss 6.9016 (6.9080) Prec@1 0.391 (0.098) Prec@5 0.391 (0.497)
Epoch: [0][200/5005] Time 0.613 (0.738) Data 0.000 (0.019) Loss 6.9061 (6.9079) Prec@1 0.391 (0.107) Prec@5 0.391 (0.511)
Epoch: [0][210/5005] Time 0.616 (0.733) Data 0.001 (0.018) Loss 6.9075 (6.9078) Prec@1 0.000 (0.109) Prec@5 0.000 (0.511)
Epoch: [0][220/5005] Time 0.615 (0.727) Data 0.000 (0.017) Loss 6.9076 (6.9078) Prec@1 0.000 (0.108) Prec@5 0.391 (0.509)
Epoch: [0][230/5005] Time 0.616 (0.722) Data 0.001 (0.017) Loss 6.9090 (6.9077) Prec@1 0.000 (0.107) Prec@5 0.781 (0.517)
Epoch: [0][240/5005] Time 0.612 (0.718) Data 0.000 (0.016) Loss 6.9028 (6.9076) Prec@1 0.391 (0.105) Prec@5 0.781 (0.517)
Epoch: [0][250/5005] Time 0.612 (0.714) Data 0.000 (0.015) Loss 6.9151 (6.9075) Prec@1 0.391 (0.106) Prec@5 0.781 (0.529)
Epoch: [0][260/5005] Time 0.619 (0.710) Data 0.000 (0.015) Loss 6.8945 (6.9074) Prec@1 0.391 (0.106) Prec@5 1.172 (0.527)
Epoch: [0][270/5005] Time 0.615 (0.706) Data 0.000 (0.014) Loss 6.8993 (6.9073) Prec@1 0.000 (0.107) Prec@5 0.391 (0.530)
Epoch: [0][280/5005] Time 0.618 (0.703) Data 0.000 (0.014) Loss 6.8998 (6.9071) Prec@1 0.000 (0.104) Prec@5 0.391 (0.527)
Epoch: [0][290/5005] Time 0.618 (0.700) Data 0.000 (0.013) Loss 6.8977 (6.9069) Prec@1 0.781 (0.106) Prec@5 0.781 (0.529)
Epoch: [0][300/5005] Time 0.617 (0.697) Data 0.000 (0.013) Loss 6.9092 (6.9066) Prec@1 0.000 (0.105) Prec@5 0.391 (0.528)
Epoch: [0][310/5005] Time 0.615 (0.694) Data 0.000 (0.012) Loss 6.9031 (6.9063) Prec@1 0.391 (0.108) Prec@5 0.391 (0.530)
Epoch: [0][320/5005] Time 0.610 (0.692) Data 0.000 (0.012) Loss 6.8667 (6.9058) Prec@1 0.000 (0.107) Prec@5 0.391 (0.538)
Epoch: [0][330/5005] Time 0.614 (0.689) Data 0.000 (0.012) Loss 6.8832 (6.9049) Prec@1 0.000 (0.109) Prec@5 0.781 (0.539)
Epoch: [0][340/5005] Time 0.612 (0.687) Data 0.000 (0.011) Loss 6.9148 (6.9041) Prec@1 0.000 (0.110) Prec@5 0.000 (0.537)
Epoch: [0][350/5005] Time 0.609 (0.685) Data 0.000 (0.011) Loss 6.8747 (6.9035) Prec@1 0.000 (0.112) Prec@5 0.000 (0.540)
Epoch: [0][360/5005] Time 0.606 (0.683) Data 0.000 (0.011) Loss 6.8989 (6.9027) Prec@1 0.000 (0.113) Prec@5 0.391 (0.539)
Epoch: [0][370/5005] Time 0.613 (0.681) Data 0.000 (0.010) Loss 6.8754 (6.9018) Prec@1 0.000 (0.113) Prec@5 0.391 (0.542)
Epoch: [0][380/5005] Time 0.608 (0.679) Data 0.000 (0.010) Loss 6.8880 (6.9010) Prec@1 0.000 (0.115) Prec@5 0.391 (0.545)
Epoch: [0][390/5005] Time 0.611 (0.678) Data 0.000 (0.010) Loss 6.9043 (6.9004) Prec@1 0.000 (0.114) Prec@5 0.391 (0.545)
Epoch: [0][400/5005] Time 0.608 (0.676) Data 0.000 (0.010) Loss 6.8933 (6.8998) Prec@1 0.000 (0.115) Prec@5 0.391 (0.548)
Epoch: [0][410/5005] Time 0.615 (0.675) Data 0.000 (0.010) Loss 6.8060 (6.8988) Prec@1 0.391 (0.114) Prec@5 1.953 (0.550)
Epoch: [0][420/5005] Time 0.608 (0.673) Data 0.000 (0.009) Loss 6.8702 (6.8982) Prec@1 0.000 (0.114) Prec@5 0.391 (0.549)
Epoch: [0][430/5005] Time 0.608 (0.672) Data 0.000 (0.009) Loss 6.8727 (6.8974) Prec@1 0.000 (0.114) Prec@5 1.172 (0.556)
Epoch: [0][440/5005] Time 0.611 (0.670) Data 0.000 (0.009) Loss 6.8365 (6.8966) Prec@1 0.000 (0.112) Prec@5 0.391 (0.556)
Epoch: [0][450/5005] Time 0.617 (0.669) Data 0.000 (0.009) Loss 6.8543 (6.8959) Prec@1 0.000 (0.113) Prec@5 0.000 (0.559)
Epoch: [0][460/5005] Time 0.609 (0.668) Data 0.000 (0.009) Loss 6.8515 (6.8951) Prec@1 0.000 (0.114) Prec@5 1.172 (0.564)
Epoch: [0][470/5005] Time 0.607 (0.667) Data 0.000 (0.008) Loss 6.8485 (6.8943) Prec@1 0.000 (0.117) Prec@5 0.391 (0.570)
Epoch: [0][480/5005] Time 0.614 (0.666) Data 0.000 (0.008) Loss 6.8516 (6.8934) Prec@1 0.000 (0.116) Prec@5 0.000 (0.577)
Epoch: [0][490/5005] Time 0.615 (0.665) Data 0.000 (0.008) Loss 6.8697 (6.8926) Prec@1 0.000 (0.116) Prec@5 0.391 (0.584)
Epoch: [0][500/5005] Time 0.613 (0.664) Data 0.000 (0.008) Loss 6.8404 (6.8918) Prec@1 0.781 (0.119) Prec@5 0.781 (0.587)
Epoch: [0][510/5005] Time 0.616 (0.663) Data 0.000 (0.008) Loss 6.8476 (6.8910) Prec@1 0.000 (0.120) Prec@5 0.391 (0.591)
Epoch: [0][520/5005] Time 0.616 (0.662) Data 0.000 (0.008) Loss 6.8704 (6.8905) Prec@1 0.000 (0.120) Prec@5 0.000 (0.590)
Epoch: [0][530/5005] Time 0.611 (0.661) Data 0.000 (0.007) Loss 6.8452 (6.8898) Prec@1 0.391 (0.120) Prec@5 1.562 (0.595)
Epoch: [0][540/5005] Time 0.621 (0.660) Data 0.000 (0.007) Loss 6.8691 (6.8895) Prec@1 0.000 (0.119) Prec@5 0.391 (0.595)
Epoch: [0][550/5005] Time 0.609 (0.659) Data 0.000 (0.007) Loss 6.8505 (6.8891) Prec@1 0.000 (0.120) Prec@5 0.391 (0.597)
Epoch: [0][560/5005] Time 0.618 (0.658) Data 0.000 (0.007) Loss 6.8886 (6.8888) Prec@1 0.000 (0.120) Prec@5 1.172 (0.597)
Epoch: [0][570/5005] Time 0.612 (0.657) Data 0.000 (0.007) Loss 6.8915 (6.8881) Prec@1 0.000 (0.120) Prec@5 0.000 (0.601)
Epoch: [0][580/5005] Time 0.612 (0.657) Data 0.000 (0.007) Loss 6.8347 (6.8876) Prec@1 0.000 (0.119) Prec@5 1.172 (0.606)
Epoch: [0][590/5005] Time 0.616 (0.656) Data 0.001 (0.007) Loss 6.8497 (6.8870) Prec@1 0.000 (0.120) Prec@5 0.000 (0.609)
Epoch: [0][600/5005] Time 0.612 (0.655) Data 0.000 (0.007) Loss 6.8428 (6.8865) Prec@1 0.000 (0.122) Prec@5 1.172 (0.618)
Epoch: [0][610/5005] Time 0.600 (0.655) Data 0.000 (0.007) Loss 6.8515 (6.8860) Prec@1 0.000 (0.121) Prec@5 1.562 (0.619)
Epoch: [0][620/5005] Time 0.613 (0.654) Data 0.000 (0.006) Loss 6.8521 (6.8854) Prec@1 0.000 (0.120) Prec@5 0.781 (0.620)
Epoch: [0][630/5005] Time 0.609 (0.653) Data 0.000 (0.006) Loss 6.8299 (6.8848) Prec@1 0.000 (0.120) Prec@5 0.781 (0.623)
Epoch: [0][640/5005] Time 0.615 (0.653) Data 0.000 (0.006) Loss 6.8730 (6.8845) Prec@1 0.000 (0.121) Prec@5 0.000 (0.622)
Epoch: [0][650/5005] Time 0.612 (0.652) Data 0.000 (0.006) Loss 6.8538 (6.8840) Prec@1 0.391 (0.121) Prec@5 1.562 (0.626)
Epoch: [0][660/5005] Time 0.614 (0.651) Data 0.001 (0.006) Loss 6.7947 (6.8833) Prec@1 0.391 (0.121) Prec@5 0.391 (0.624)
Epoch: [0][670/5005] Time 0.617 (0.651) Data 0.001 (0.006) Loss 6.8374 (6.8829) Prec@1 0.000 (0.122) Prec@5 0.000 (0.629)
Epoch: [0][680/5005] Time 0.613 (0.650) Data 0.000 (0.006) Loss 6.8527 (6.8823) Prec@1 0.391 (0.124) Prec@5 1.953 (0.634)
Epoch: [0][690/5005] Time 0.607 (0.650) Data 0.000 (0.006) Loss 6.8190 (6.8817) Prec@1 0.000 (0.127) Prec@5 1.953 (0.637)
Epoch: [0][700/5005] Time 0.614 (0.649) Data 0.000 (0.006) Loss 6.8502 (6.8812) Prec@1 0.000 (0.125) Prec@5 1.953 (0.636)
Epoch: [0][710/5005] Time 0.611 (0.649) Data 0.000 (0.006) Loss 6.8473 (6.8807) Prec@1 0.000 (0.124) Prec@5 1.562 (0.638)
Epoch: [0][720/5005] Time 0.609 (0.648) Data 0.000 (0.006) Loss 6.8313 (6.8802) Prec@1 0.000 (0.125) Prec@5 0.000 (0.643)
Epoch: [0][730/5005] Time 0.618 (0.648) Data 0.000 (0.006) Loss 6.8594 (6.8796) Prec@1 0.000 (0.126) Prec@5 0.781 (0.644)
Epoch: [0][740/5005] Time 0.614 (0.647) Data 0.000 (0.005) Loss 6.8390 (6.8791) Prec@1 0.000 (0.127) Prec@5 0.391 (0.648)
Epoch: [0][750/5005] Time 0.608 (0.647) Data 0.000 (0.005) Loss 6.8495 (6.8786) Prec@1 0.781 (0.128) Prec@5 1.562 (0.654)
Epoch: [0][760/5005] Time 0.613 (0.646) Data 0.000 (0.005) Loss 6.8344 (6.8781) Prec@1 0.000 (0.129) Prec@5 0.391 (0.658)
Epoch: [0][770/5005] Time 0.609 (0.646) Data 0.000 (0.005) Loss 6.8292 (6.8776) Prec@1 0.391 (0.131) Prec@5 2.344 (0.663)
Epoch: [0][780/5005] Time 0.614 (0.646) Data 0.000 (0.005) Loss 6.8509 (6.8772) Prec@1 0.000 (0.131) Prec@5 0.391 (0.665)
Epoch: [0][790/5005] Time 0.612 (0.645) Data 0.000 (0.005) Loss 6.8067 (6.8766) Prec@1 0.000 (0.130) Prec@5 0.391 (0.666)
Epoch: [0][800/5005] Time 0.616 (0.645) Data 0.000 (0.005) Loss 6.8638 (6.8762) Prec@1 0.000 (0.130) Prec@5 0.781 (0.666)
Epoch: [0][810/5005] Time 0.617 (0.644) Data 0.000 (0.005) Loss 6.8522 (6.8758) Prec@1 0.781 (0.131) Prec@5 0.781 (0.667)
Epoch: [0][820/5005] Time 0.614 (0.644) Data 0.001 (0.005) Loss 6.8547 (6.8755) Prec@1 0.000 (0.131) Prec@5 0.781 (0.668)
Epoch: [0][830/5005] Time 0.611 (0.644) Data 0.001 (0.005) Loss 6.8361 (6.8749) Prec@1 0.000 (0.132) Prec@5 0.000 (0.670)
Epoch: [0][840/5005] Time 0.612 (0.643) Data 0.000 (0.005) Loss 6.8110 (6.8743) Prec@1 0.391 (0.133) Prec@5 1.172 (0.676)
Epoch: [0][850/5005] Time 0.613 (0.643) Data 0.000 (0.005) Loss 6.8285 (6.8739) Prec@1 0.000 (0.132) Prec@5 1.172 (0.676)
Epoch: [0][860/5005] Time 0.607 (0.643) Data 0.000 (0.005) Loss 6.8528 (6.8735) Prec@1 0.000 (0.132) Prec@5 0.391 (0.680)
Epoch: [0][870/5005] Time 0.611 (0.642) Data 0.001 (0.005) Loss 6.8230 (6.8730) Prec@1 0.391 (0.135) Prec@5 1.172 (0.685)
Epoch: [0][880/5005] Time 0.619 (0.642) Data 0.001 (0.005) Loss 6.9091 (6.8726) Prec@1 0.000 (0.135) Prec@5 0.781 (0.685)
Epoch: [0][890/5005] Time 0.599 (0.642) Data 0.001 (0.005) Loss 6.8745 (6.8724) Prec@1 0.000 (0.134) Prec@5 0.781 (0.684)
Epoch: [0][900/5005] Time 0.615 (0.641) Data 0.001 (0.005) Loss 6.8213 (6.8720) Prec@1 0.000 (0.134) Prec@5 0.000 (0.682)
Epoch: [0][910/5005] Time 0.612 (0.641) Data 0.000 (0.005) Loss 6.8286 (6.8716) Prec@1 0.391 (0.133) Prec@5 1.172 (0.685)
Epoch: [0][920/5005] Time 0.608 (0.641) Data 0.000 (0.004) Loss 6.8705 (6.8713) Prec@1 0.391 (0.135) Prec@5 0.391 (0.686)
Epoch: [0][930/5005] Time 0.613 (0.640) Data 0.000 (0.004) Loss 6.8174 (6.8711) Prec@1 0.000 (0.136) Prec@5 0.781 (0.690)
Epoch: [0][940/5005] Time 0.609 (0.640) Data 0.001 (0.004) Loss 6.8318 (6.8707) Prec@1 0.391 (0.136) Prec@5 0.781 (0.692)
Epoch: [0][950/5005] Time 0.607 (0.640) Data 0.000 (0.004) Loss 6.8150 (6.8703) Prec@1 0.000 (0.136) Prec@5 0.391 (0.693)
Epoch: [0][960/5005] Time 0.612 (0.640) Data 0.000 (0.004) Loss 6.8248 (6.8699) Prec@1 0.391 (0.139) Prec@5 1.172 (0.695)
Epoch: [0][970/5005] Time 0.612 (0.639) Data 0.000 (0.004) Loss 6.8576 (6.8697) Prec@1 0.000 (0.140) Prec@5 0.000 (0.700)
Epoch: [0][980/5005] Time 0.619 (0.639) Data 0.000 (0.004) Loss 6.8274 (6.8693) Prec@1 0.391 (0.142) Prec@5 0.781 (0.702)
Epoch: [0][990/5005] Time 0.615 (0.639) Data 0.001 (0.004) Loss 6.8300 (6.8689) Prec@1 0.000 (0.143) Prec@5 0.781 (0.705)
Epoch: [0][1000/5005] Time 0.614 (0.639) Data 0.000 (0.004) Loss 6.7997 (6.8686) Prec@1 0.391 (0.144) Prec@5 1.172 (0.705)
Epoch: [0][1010/5005] Time 0.619 (0.638) Data 0.000 (0.004) Loss 6.8440 (6.8683) Prec@1 1.562 (0.146) Prec@5 3.125 (0.710)
Epoch: [0][1020/5005] Time 0.610 (0.638) Data 0.000 (0.004) Loss 6.8243 (6.8679) Prec@1 0.391 (0.146) Prec@5 1.172 (0.714)
Epoch: [0][1030/5005] Time 0.617 (0.638) Data 0.000 (0.004) Loss 6.8127 (6.8676) Prec@1 0.391 (0.147) Prec@5 1.562 (0.717)
Epoch: [0][1040/5005] Time 0.617 (0.638) Data 0.000 (0.004) Loss 6.8145 (6.8672) Prec@1 0.391 (0.147) Prec@5 0.781 (0.719)
Epoch: [0][1050/5005] Time 0.619 (0.637) Data 0.000 (0.004) Loss 6.8092 (6.8666) Prec@1 0.000 (0.148) Prec@5 3.125 (0.723)
Epoch: [0][1060/5005] Time 0.611 (0.637) Data 0.000 (0.004) Loss 6.8626 (6.8662) Prec@1 0.000 (0.147) Prec@5 0.000 (0.723)
Epoch: [0][1070/5005] Time 0.612 (0.637) Data 0.000 (0.004) Loss 6.8008 (6.8658) Prec@1 0.391 (0.150) Prec@5 1.953 (0.726)
Epoch: [0][1080/5005] Time 0.610 (0.637) Data 0.000 (0.004) Loss 6.8106 (6.8654) Prec@1 0.000 (0.150) Prec@5 0.781 (0.726)
Epoch: [0][1090/5005] Time 0.612 (0.637) Data 0.000 (0.004) Loss 6.8285 (6.8651) Prec@1 0.000 (0.150) Prec@5 0.781 (0.731)
Epoch: [0][1100/5005] Time 0.620 (0.636) Data 0.001 (0.004) Loss 6.8258 (6.8648) Prec@1 0.391 (0.149) Prec@5 1.172 (0.729)
Epoch: [0][1110/5005] Time 0.615 (0.636) Data 0.000 (0.004) Loss 6.8019 (6.8643) Prec@1 0.391 (0.150) Prec@5 0.391 (0.732)
Epoch: [0][1120/5005] Time 0.613 (0.636) Data 0.000 (0.004) Loss 6.7899 (6.8639) Prec@1 0.391 (0.151) Prec@5 3.125 (0.735)
Epoch: [0][1130/5005] Time 0.605 (0.636) Data 0.001 (0.004) Loss 6.8535 (6.8639) Prec@1 0.000 (0.152) Prec@5 0.781 (0.736)
Epoch: [0][1140/5005] Time 0.614 (0.635) Data 0.000 (0.004) Loss 6.8032 (6.8637) Prec@1 0.000 (0.152) Prec@5 1.172 (0.740)
Epoch: [0][1150/5005] Time 0.617 (0.635) Data 0.000 (0.004) Loss 6.8205 (6.8634) Prec@1 0.000 (0.152) Prec@5 1.172 (0.742)
Epoch: [0][1160/5005] Time 0.611 (0.635) Data 0.000 (0.004) Loss 6.8707 (6.8632) Prec@1 0.000 (0.154) Prec@5 0.391 (0.746)
Epoch: [0][1170/5005] Time 0.616 (0.635) Data 0.000 (0.004) Loss 6.8423 (6.8629) Prec@1 0.391 (0.154) Prec@5 0.391 (0.750)
Epoch: [0][1180/5005] Time 0.614 (0.635) Data 0.000 (0.004) Loss 6.8117 (6.8625) Prec@1 0.000 (0.156) Prec@5 1.172 (0.755)
Epoch: [0][1190/5005] Time 0.614 (0.635) Data 0.000 (0.004) Loss 6.8341 (6.8622) Prec@1 0.000 (0.155) Prec@5 0.781 (0.757)
Epoch: [0][1200/5005] Time 0.612 (0.634) Data 0.001 (0.004) Loss 6.8610 (6.8620) Prec@1 0.000 (0.154) Prec@5 0.781 (0.758)
Epoch: [0][1210/5005] Time 0.612 (0.634) Data 0.000 (0.004) Loss 6.8333 (6.8616) Prec@1 0.391 (0.156) Prec@5 0.781 (0.763)
Epoch: [0][1220/5005] Time 0.611 (0.634) Data 0.000 (0.003) Loss 6.8897 (6.8614) Prec@1 0.000 (0.157) Prec@5 0.391 (0.766)
Epoch: [0][1230/5005] Time 0.610 (0.634) Data 0.000 (0.003) Loss 6.8260 (6.8612) Prec@1 0.391 (0.157) Prec@5 0.781 (0.763)
Epoch: [0][1240/5005] Time 0.611 (0.634) Data 0.001 (0.003) Loss 6.8537 (6.8609) Prec@1 0.000 (0.157) Prec@5 0.391 (0.766)
Epoch: [0][1250/5005] Time 0.611 (0.633) Data 0.000 (0.003) Loss 6.8106 (6.8607) Prec@1 0.000 (0.157) Prec@5 0.000 (0.768)
Epoch: [0][1260/5005] Time 0.611 (0.633) Data 0.000 (0.003) Loss 6.8486 (6.8604) Prec@1 0.000 (0.157) Prec@5 0.781 (0.770)
Epoch: [0][1270/5005] Time 0.605 (0.633) Data 0.000 (0.003) Loss 6.8371 (6.8601) Prec@1 0.391 (0.157) Prec@5 0.781 (0.770)
Epoch: [0][1280/5005] Time 0.612 (0.633) Data 0.000 (0.003) Loss 6.8139 (6.8599) Prec@1 0.000 (0.157) Prec@5 1.953 (0.775)
Epoch: [0][1290/5005] Time 0.608 (0.633) Data 0.000 (0.003) Loss 6.7839 (6.8597) Prec@1 0.000 (0.157) Prec@5 1.172 (0.776)
Epoch: [0][1300/5005] Time 0.608 (0.633) Data 0.000 (0.003) Loss 6.7938 (6.8594) Prec@1 0.391 (0.157) Prec@5 1.953 (0.779)
Epoch: [0][1310/5005] Time 0.617 (0.633) Data 0.000 (0.003) Loss 6.8496 (6.8592) Prec@1 0.000 (0.158) Prec@5 1.172 (0.782)
Epoch: [0][1320/5005] Time 0.614 (0.632) Data 0.000 (0.003) Loss 6.8254 (6.8590) Prec@1 0.391 (0.159) Prec@5 0.781 (0.783)
Epoch: [0][1330/5005] Time 0.610 (0.632) Data 0.000 (0.003) Loss 6.8145 (6.8587) Prec@1 0.000 (0.159) Prec@5 0.391 (0.784)
Epoch: [0][1340/5005] Time 0.607 (0.632) Data 0.000 (0.003) Loss 6.8442 (6.8585) Prec@1 0.781 (0.158) Prec@5 1.562 (0.784)
Epoch: [0][1350/5005] Time 0.623 (0.632) Data 0.000 (0.003) Loss 6.8460 (6.8582) Prec@1 0.000 (0.158) Prec@5 0.781 (0.786)
Epoch: [0][1360/5005] Time 0.612 (0.632) Data 0.000 (0.003) Loss 6.8178 (6.8579) Prec@1 0.000 (0.159) Prec@5 0.000 (0.787)
Epoch: [0][1370/5005] Time 0.616 (0.632) Data 0.000 (0.003) Loss 6.7906 (6.8576) Prec@1 0.000 (0.160) Prec@5 1.953 (0.790)
Epoch: [0][1380/5005] Time 0.610 (0.632) Data 0.000 (0.003) Loss 6.8467 (6.8573) Prec@1 0.781 (0.160) Prec@5 1.953 (0.790)
Epoch: [0][1390/5005] Time 0.608 (0.631) Data 0.001 (0.003) Loss 6.8278 (6.8571) Prec@1 0.391 (0.162) Prec@5 1.172 (0.791)
Epoch: [0][1400/5005] Time 0.610 (0.631) Data 0.000 (0.003) Loss 6.8219 (6.8567) Prec@1 0.000 (0.163) Prec@5 1.562 (0.794)
Epoch: [0][1410/5005] Time 0.621 (0.631) Data 0.000 (0.003) Loss 6.8070 (6.8565) Prec@1 0.000 (0.163) Prec@5 0.000 (0.792)
Epoch: [0][1420/5005] Time 0.615 (0.631) Data 0.000 (0.003) Loss 6.7894 (6.8562) Prec@1 0.000 (0.164) Prec@5 0.000 (0.793)
Epoch: [0][1430/5005] Time 0.608 (0.631) Data 0.001 (0.003) Loss 6.8375 (6.8560) Prec@1 0.000 (0.163) Prec@5 0.391 (0.792)
Epoch: [0][1440/5005] Time 0.612 (0.631) Data 0.000 (0.003) Loss 6.8147 (6.8556) Prec@1 0.000 (0.163) Prec@5 1.172 (0.793)
Epoch: [0][1450/5005] Time 0.616 (0.631) Data 0.000 (0.003) Loss 6.7801 (6.8554) Prec@1 0.391 (0.163) Prec@5 2.344 (0.794)
Epoch: [0][1460/5005] Time 0.608 (0.631) Data 0.000 (0.003) Loss 6.8386 (6.8552) Prec@1 0.000 (0.165) Prec@5 0.000 (0.795)
Epoch: [0][1470/5005] Time 0.610 (0.630) Data 0.000 (0.003) Loss 6.7919 (6.8550) Prec@1 0.391 (0.165) Prec@5 1.172 (0.798)
Epoch: [0][1480/5005] Time 0.610 (0.630) Data 0.000 (0.003) Loss 6.8285 (6.8548) Prec@1 0.781 (0.166) Prec@5 1.562 (0.801)
Epoch: [0][1490/5005] Time 0.607 (0.630) Data 0.000 (0.003) Loss 6.8145 (6.8547) Prec@1 0.391 (0.166) Prec@5 0.781 (0.800)
Epoch: [0][1500/5005] Time 0.612 (0.630) Data 0.000 (0.003) Loss 6.8232 (6.8545) Prec@1 0.000 (0.167) Prec@5 2.344 (0.802)
Epoch: [0][1510/5005] Time 0.610 (0.630) Data 0.000 (0.003) Loss 6.8095 (6.8543) Prec@1 0.391 (0.166) Prec@5 2.734 (0.801)
Epoch: [0][1520/5005] Time 0.621 (0.630) Data 0.000 (0.003) Loss 6.8355 (6.8541) Prec@1 0.781 (0.166) Prec@5 1.562 (0.802)
Epoch: [0][1530/5005] Time 0.614 (0.630) Data 0.001 (0.003) Loss 6.8104 (6.8539) Prec@1 0.000 (0.166) Prec@5 0.391 (0.802)
Epoch: [0][1540/5005] Time 0.608 (0.630) Data 0.000 (0.003) Loss 6.8636 (6.8538) Prec@1 0.000 (0.166) Prec@5 0.000 (0.801)
Epoch: [0][1550/5005] Time 0.618 (0.629) Data 0.000 (0.003) Loss 6.8567 (6.8536) Prec@1 0.391 (0.167) Prec@5 0.781 (0.803)
Epoch: [0][1560/5005] Time 0.597 (0.629) Data 0.000 (0.003) Loss 6.8140 (6.8534) Prec@1 0.781 (0.168) Prec@5 1.172 (0.806)
Epoch: [0][1570/5005] Time 0.610 (0.629) Data 0.000 (0.003) Loss 6.8167 (6.8532) Prec@1 0.000 (0.169) Prec@5 1.562 (0.808)
Epoch: [0][1580/5005] Time 0.610 (0.629) Data 0.000 (0.003) Loss 6.8132 (6.8530) Prec@1 0.000 (0.169) Prec@5 0.391 (0.810)
Epoch: [0][1590/5005] Time 0.611 (0.629) Data 0.001 (0.003) Loss 6.8252 (6.8527) Prec@1 0.391 (0.170) Prec@5 1.172 (0.810)
Epoch: [0][1600/5005] Time 0.618 (0.629) Data 0.001 (0.003) Loss 6.8081 (6.8525) Prec@1 0.781 (0.170) Prec@5 1.953 (0.811)
Epoch: [0][1610/5005] Time 0.613 (0.629) Data 0.000 (0.003) Loss 6.7958 (6.8524) Prec@1 0.000 (0.169) Prec@5 0.391 (0.811)
Epoch: [0][1620/5005] Time 0.608 (0.629) Data 0.000 (0.003) Loss 6.8206 (6.8521) Prec@1 0.391 (0.169) Prec@5 0.781 (0.811)
Epoch: [0][1630/5005] Time 0.616 (0.629) Data 0.000 (0.003) Loss 6.8422 (6.8520) Prec@1 0.000 (0.170) Prec@5 0.391 (0.812)
Epoch: [0][1640/5005] Time 0.616 (0.629) Data 0.000 (0.003) Loss 6.8083 (6.8517) Prec@1 0.000 (0.169) Prec@5 1.172 (0.814)
Epoch: [0][1650/5005] Time 0.608 (0.628) Data 0.000 (0.003) Loss 6.8360 (6.8516) Prec@1 0.000 (0.170) Prec@5 1.172 (0.817)
Epoch: [0][1660/5005] Time 0.619 (0.628) Data 0.000 (0.003) Loss 6.7756 (6.8513) Prec@1 0.391 (0.171) Prec@5 1.953 (0.819)
Epoch: [0][1670/5005] Time 0.607 (0.628) Data 0.000 (0.003) Loss 6.8296 (6.8511) Prec@1 0.000 (0.172) Prec@5 0.391 (0.819)
Epoch: [0][1680/5005] Time 0.618 (0.628) Data 0.000 (0.003) Loss 6.8162 (6.8509) Prec@1 0.000 (0.171) Prec@5 1.172 (0.820)
Epoch: [0][1690/5005] Time 0.616 (0.628) Data 0.001 (0.003) Loss 6.7911 (6.8507) Prec@1 0.000 (0.172) Prec@5 1.562 (0.821)
Epoch: [0][1700/5005] Time 0.612 (0.628) Data 0.000 (0.003) Loss 6.8394 (6.8506) Prec@1 0.000 (0.172) Prec@5 0.000 (0.823)
Epoch: [0][1710/5005] Time 0.613 (0.628) Data 0.000 (0.003) Loss 6.7542 (6.8503) Prec@1 0.000 (0.172) Prec@5 0.781 (0.825)
Epoch: [0][1720/5005] Time 0.612 (0.628) Data 0.000 (0.003) Loss 6.7815 (6.8501) Prec@1 0.391 (0.173) Prec@5 1.562 (0.825)
Epoch: [0][1730/5005] Time 0.606 (0.628) Data 0.000 (0.003) Loss 6.8099 (6.8499) Prec@1 0.781 (0.173) Prec@5 1.172 (0.826)
Epoch: [0][1740/5005] Time 0.608 (0.628) Data 0.000 (0.003) Loss 6.8124 (6.8497) Prec@1 0.781 (0.173) Prec@5 1.562 (0.827)
Epoch: [0][1750/5005] Time 0.610 (0.628) Data 0.000 (0.003) Loss 6.7820 (6.8496) Prec@1 0.000 (0.173) Prec@5 0.781 (0.829)
Epoch: [0][1760/5005] Time 0.613 (0.627) Data 0.000 (0.003) Loss 6.8263 (6.8494) Prec@1 0.000 (0.172) Prec@5 0.781 (0.830)
Epoch: [0][1770/5005] Time 0.618 (0.627) Data 0.000 (0.003) Loss 6.8299 (6.8493) Prec@1 0.000 (0.172) Prec@5 1.172 (0.829)
Epoch: [0][1780/5005] Time 0.617 (0.627) Data 0.000 (0.003) Loss 6.7996 (6.8492) Prec@1 0.391 (0.172) Prec@5 0.781 (0.829)
Epoch: [0][1790/5005] Time 0.610 (0.627) Data 0.000 (0.003) Loss 6.7936 (6.8490) Prec@1 0.391 (0.173) Prec@5 1.953 (0.832)
Epoch: [0][1800/5005] Time 0.607 (0.627) Data 0.000 (0.003) Loss 6.8058 (6.8487) Prec@1 0.000 (0.174) Prec@5 0.781 (0.835)
Epoch: [0][1810/5005] Time 0.611 (0.627) Data 0.000 (0.003) Loss 6.8449 (6.8486) Prec@1 0.000 (0.174) Prec@5 0.781 (0.837)
Epoch: [0][1820/5005] Time 0.608 (0.627) Data 0.000 (0.002) Loss 6.8424 (6.8484) Prec@1 0.000 (0.176) Prec@5 0.391 (0.841)
Epoch: [0][1830/5005] Time 0.612 (0.627) Data 0.000 (0.002) Loss 6.8339 (6.8482) Prec@1 0.000 (0.175) Prec@5 0.781 (0.843)
Epoch: [0][1840/5005] Time 0.617 (0.627) Data 0.000 (0.002) Loss 6.7970 (6.8480) Prec@1 0.000 (0.175) Prec@5 1.172 (0.844)
Epoch: [0][1850/5005] Time 0.605 (0.627) Data 0.000 (0.002) Loss 6.8682 (6.8479) Prec@1 0.000 (0.176) Prec@5 0.391 (0.845)
Epoch: [0][1860/5005] Time 0.613 (0.627) Data 0.000 (0.002) Loss 6.7988 (6.8477) Prec@1 0.000 (0.176) Prec@5 0.391 (0.844)
Epoch: [0][1870/5005] Time 0.611 (0.627) Data 0.000 (0.002) Loss 6.8235 (6.8475) Prec@1 0.000 (0.176) Prec@5 1.172 (0.846)
Epoch: [0][1880/5005] Time 0.607 (0.627) Data 0.000 (0.002) Loss 6.8219 (6.8474) Prec@1 0.000 (0.176) Prec@5 0.781 (0.847)
Epoch: [0][1890/5005] Time 0.623 (0.626) Data 0.001 (0.002) Loss 6.7844 (6.8471) Prec@1 0.781 (0.177) Prec@5 1.953 (0.851)
Epoch: [0][1900/5005] Time 0.604 (0.626) Data 0.000 (0.002) Loss 6.8766 (6.8470) Prec@1 0.391 (0.178) Prec@5 1.172 (0.854)
Epoch: [0][1910/5005] Time 0.614 (0.626) Data 0.001 (0.002) Loss 6.8299 (6.8469) Prec@1 0.781 (0.179) Prec@5 3.125 (0.855)
Epoch: [0][1920/5005] Time 0.617 (0.626) Data 0.000 (0.002) Loss 6.7915 (6.8467) Prec@1 0.391 (0.179) Prec@5 1.953 (0.858)
Epoch: [0][1930/5005] Time 0.606 (0.626) Data 0.000 (0.002) Loss 6.8078 (6.8466) Prec@1 0.391 (0.180) Prec@5 0.781 (0.859)
Epoch: [0][1940/5005] Time 0.620 (0.626) Data 0.000 (0.002) Loss 6.7839 (6.8465) Prec@1 0.781 (0.181) Prec@5 2.734 (0.861)
Epoch: [0][1950/5005] Time 0.607 (0.626) Data 0.000 (0.002) Loss 6.8338 (6.8463) Prec@1 0.000 (0.181) Prec@5 1.172 (0.863)
Epoch: [0][1960/5005] Time 0.621 (0.626) Data 0.000 (0.002) Loss 6.8324 (6.8461) Prec@1 0.391 (0.182) Prec@5 1.562 (0.865)
Epoch: [0][1970/5005] Time 0.613 (0.626) Data 0.000 (0.002) Loss 6.8340 (6.8459) Prec@1 0.000 (0.182) Prec@5 1.172 (0.866)
Epoch: [0][1980/5005] Time 0.613 (0.626) Data 0.000 (0.002) Loss 6.8366 (6.8458) Prec@1 0.391 (0.183) Prec@5 0.391 (0.866)
Epoch: [0][1990/5005] Time 0.613 (0.626) Data 0.000 (0.002) Loss 6.8247 (6.8456) Prec@1 0.391 (0.184) Prec@5 2.344 (0.868)
Epoch: [0][2000/5005] Time 0.614 (0.626) Data 0.000 (0.002) Loss 6.8283 (6.8454) Prec@1 0.000 (0.183) Prec@5 1.172 (0.868)
Epoch: [0][2010/5005] Time 0.607 (0.626) Data 0.001 (0.002) Loss 6.8037 (6.8452) Prec@1 0.391 (0.183) Prec@5 1.172 (0.868)
Epoch: [0][2020/5005] Time 0.610 (0.626) Data 0.000 (0.002) Loss 6.8224 (6.8451) Prec@1 0.391 (0.183) Prec@5 1.562 (0.870)
Epoch: [0][2030/5005] Time 0.613 (0.626) Data 0.000 (0.002) Loss 6.7843 (6.8448) Prec@1 0.781 (0.183) Prec@5 1.172 (0.872)
Epoch: [0][2040/5005] Time 0.619 (0.625) Data 0.000 (0.002) Loss 6.7896 (6.8446) Prec@1 0.000 (0.184) Prec@5 0.781 (0.874)
Epoch: [0][2050/5005] Time 0.609 (0.625) Data 0.001 (0.002) Loss 6.7992 (6.8445) Prec@1 0.000 (0.184) Prec@5 0.391 (0.875)
Epoch: [0][2060/5005] Time 0.611 (0.625) Data 0.000 (0.002) Loss 6.7924 (6.8444) Prec@1 0.000 (0.185) Prec@5 1.172 (0.879)
Epoch: [0][2070/5005] Time 0.618 (0.625) Data 0.001 (0.002) Loss 6.8196 (6.8442) Prec@1 0.000 (0.185) Prec@5 1.953 (0.880)
Epoch: [0][2080/5005] Time 0.615 (0.625) Data 0.000 (0.002) Loss 6.8231 (6.8440) Prec@1 0.000 (0.185) Prec@5 0.781 (0.881)
Epoch: [0][2090/5005] Time 0.606 (0.625) Data 0.000 (0.002) Loss 6.8381 (6.8438) Prec@1 0.000 (0.185) Prec@5 0.781 (0.883)
Epoch: [0][2100/5005] Time 0.618 (0.625) Data 0.000 (0.002) Loss 6.7812 (6.8437) Prec@1 0.391 (0.186) Prec@5 1.953 (0.884)
Epoch: [0][2110/5005] Time 0.606 (0.625) Data 0.000 (0.002) Loss 6.7898 (6.8435) Prec@1 0.000 (0.186) Prec@5 0.391 (0.887)
Epoch: [0][2120/5005] Time 0.614 (0.625) Data 0.000 (0.002) Loss 6.8436 (6.8434) Prec@1 0.391 (0.187) Prec@5 1.172 (0.887)
Epoch: [0][2130/5005] Time 0.614 (0.625) Data 0.000 (0.002) Loss 6.8032 (6.8432) Prec@1 0.000 (0.187) Prec@5 1.172 (0.888)
Epoch: [0][2140/5005] Time 0.611 (0.625) Data 0.000 (0.002) Loss 6.8031 (6.8431) Prec@1 0.391 (0.187) Prec@5 0.781 (0.891)
Epoch: [0][2150/5005] Time 0.613 (0.625) Data 0.000 (0.002) Loss 6.7729 (6.8429) Prec@1 0.000 (0.187) Prec@5 0.781 (0.892)
Epoch: [0][2160/5005] Time 0.619 (0.625) Data 0.001 (0.002) Loss 6.8077 (6.8428) Prec@1 0.000 (0.187) Prec@5 0.391 (0.892)
Epoch: [0][2170/5005] Time 0.612 (0.625) Data 0.000 (0.002) Loss 6.8064 (6.8426) Prec@1 0.391 (0.187) Prec@5 0.781 (0.892)
Epoch: [0][2180/5005] Time 0.609 (0.625) Data 0.001 (0.002) Loss 6.8053 (6.8424) Prec@1 0.391 (0.188) Prec@5 1.953 (0.893)
Epoch: [0][2190/5005] Time 0.611 (0.625) Data 0.000 (0.002) Loss 6.8269 (6.8422) Prec@1 0.000 (0.188) Prec@5 0.391 (0.895)
Epoch: [0][2200/5005] Time 0.610 (0.625) Data 0.000 (0.002) Loss 6.8081 (6.8421) Prec@1 0.391 (0.188) Prec@5 1.172 (0.896)
Epoch: [0][2210/5005] Time 0.609 (0.624) Data 0.000 (0.002) Loss 6.8412 (6.8421) Prec@1 0.391 (0.189) Prec@5 0.391 (0.894)
Epoch: [0][2220/5005] Time 0.612 (0.624) Data 0.000 (0.002) Loss 6.7764 (6.8419) Prec@1 0.000 (0.189) Prec@5 1.562 (0.897)
Epoch: [0][2230/5005] Time 0.615 (0.624) Data 0.000 (0.002) Loss 6.8278 (6.8417) Prec@1 0.000 (0.189) Prec@5 0.391 (0.900)
Epoch: [0][2240/5005] Time 0.612 (0.624) Data 0.000 (0.002) Loss 6.8199 (6.8415) Prec@1 0.781 (0.190) Prec@5 1.172 (0.902)
Epoch: [0][2250/5005] Time 0.607 (0.624) Data 0.000 (0.002) Loss 6.8167 (6.8414) Prec@1 0.391 (0.190) Prec@5 0.391 (0.901)
Epoch: [0][2260/5005] Time 0.615 (0.624) Data 0.001 (0.002) Loss 6.7784 (6.8412) Prec@1 0.000 (0.191) Prec@5 1.172 (0.902)
Epoch: [0][2270/5005] Time 0.618 (0.624) Data 0.001 (0.002) Loss 6.8261 (6.8410) Prec@1 0.000 (0.191) Prec@5 0.391 (0.904)
Epoch: [0][2280/5005] Time 0.615 (0.624) Data 0.000 (0.002) Loss 6.8030 (6.8408) Prec@1 0.781 (0.191) Prec@5 1.172 (0.907)
Epoch: [0][2290/5005] Time 0.617 (0.624) Data 0.001 (0.002) Loss 6.7947 (6.8406) Prec@1 0.781 (0.192) Prec@5 1.562 (0.907)
Epoch: [0][2300/5005] Time 0.614 (0.624) Data 0.000 (0.002) Loss 6.7898 (6.8404) Prec@1 0.000 (0.191) Prec@5 1.953 (0.909)
Epoch: [0][2310/5005] Time 0.617 (0.624) Data 0.000 (0.002) Loss 6.8368 (6.8403) Prec@1 0.781 (0.192) Prec@5 1.172 (0.910)
Epoch: [0][2320/5005] Time 0.619 (0.624) Data 0.000 (0.002) Loss 6.8250 (6.8402) Prec@1 0.391 (0.193) Prec@5 1.172 (0.912)
Epoch: [0][2330/5005] Time 0.617 (0.624) Data 0.000 (0.002) Loss 6.8171 (6.8400) Prec@1 0.391 (0.193) Prec@5 1.172 (0.913)
Epoch: [0][2340/5005] Time 0.616 (0.624) Data 0.000 (0.002) Loss 6.8328 (6.8399) Prec@1 0.391 (0.193) Prec@5 1.562 (0.915)
Epoch: [0][2350/5005] Time 0.612 (0.624) Data 0.000 (0.002) Loss 6.8291 (6.8398) Prec@1 0.000 (0.193) Prec@5 0.391 (0.917)
Epoch: [0][2360/5005] Time 0.611 (0.624) Data 0.000 (0.002) Loss 6.7921 (6.8396) Prec@1 0.000 (0.194) Prec@5 1.562 (0.919)
Epoch: [0][2370/5005] Time 0.609 (0.624) Data 0.000 (0.002) Loss 6.7676 (6.8395) Prec@1 0.391 (0.195) Prec@5 2.734 (0.921)
Epoch: [0][2380/5005] Time 0.607 (0.624) Data 0.000 (0.002) Loss 6.8310 (6.8393) Prec@1 0.000 (0.195) Prec@5 0.391 (0.922)
Epoch: [0][2390/5005] Time 0.611 (0.624) Data 0.000 (0.002) Loss 6.7861 (6.8391) Prec@1 0.391 (0.195) Prec@5 0.781 (0.923)
Epoch: [0][2400/5005] Time 0.610 (0.624) Data 0.000 (0.002) Loss 6.7818 (6.8391) Prec@1 0.000 (0.197) Prec@5 0.781 (0.924)
Epoch: [0][2410/5005] Time 0.613 (0.624) Data 0.000 (0.002) Loss 6.8092 (6.8389) Prec@1 0.391 (0.197) Prec@5 2.734 (0.925)
Epoch: [0][2420/5005] Time 0.608 (0.623) Data 0.000 (0.002) Loss 6.8204 (6.8388) Prec@1 0.391 (0.198) Prec@5 0.781 (0.926)
Epoch: [0][2430/5005] Time 0.617 (0.623) Data 0.000 (0.002) Loss 6.7933 (6.8386) Prec@1 0.391 (0.198) Prec@5 0.781 (0.927)
Epoch: [0][2440/5005] Time 0.612 (0.623) Data 0.000 (0.002) Loss 6.7803 (6.8385) Prec@1 0.000 (0.199) Prec@5 2.344 (0.930)
Epoch: [0][2450/5005] Time 0.615 (0.623) Data 0.000 (0.002) Loss 6.8102 (6.8383) Prec@1 0.000 (0.199) Prec@5 0.391 (0.931)
Epoch: [0][2460/5005] Time 0.618 (0.623) Data 0.000 (0.002) Loss 6.7653 (6.8381) Prec@1 1.172 (0.201) Prec@5 2.734 (0.933)
Epoch: [0][2470/5005] Time 0.612 (0.623) Data 0.000 (0.002) Loss 6.7920 (6.8379) Prec@1 0.000 (0.201) Prec@5 0.781 (0.935)
Epoch: [0][2480/5005] Time 0.611 (0.623) Data 0.000 (0.002) Loss 6.8280 (6.8378) Prec@1 0.000 (0.202) Prec@5 1.172 (0.937)
Epoch: [0][2490/5005] Time 0.605 (0.623) Data 0.000 (0.002) Loss 6.8149 (6.8376) Prec@1 0.391 (0.203) Prec@5 1.172 (0.938)
Epoch: [0][2500/5005] Time 0.614 (0.623) Data 0.000 (0.002) Loss 6.8668 (6.8374) Prec@1 0.000 (0.203) Prec@5 0.781 (0.939)
Epoch: [0][2510/5005] Time 0.616 (0.623) Data 0.001 (0.002) Loss 6.8690 (6.8373) Prec@1 0.391 (0.204) Prec@5 0.391 (0.941)
Epoch: [0][2520/5005] Time 0.616 (0.623) Data 0.000 (0.002) Loss 6.7613 (6.8371) Prec@1 0.000 (0.204) Prec@5 1.562 (0.943)
Epoch: [0][2530/5005] Time 0.614 (0.623) Data 0.000 (0.002) Loss 6.7757 (6.8369) Prec@1 0.781 (0.204) Prec@5 2.734 (0.945)
Epoch: [0][2540/5005] Time 0.606 (0.623) Data 0.000 (0.002) Loss 6.7709 (6.8367) Prec@1 0.000 (0.205) Prec@5 1.953 (0.947)
Epoch: [0][2550/5005] Time 0.615 (0.623) Data 0.000 (0.002) Loss 6.7801 (6.8366) Prec@1 0.781 (0.206) Prec@5 1.562 (0.948)
Epoch: [0][2560/5005] Time 0.606 (0.623) Data 0.000 (0.002) Loss 6.8298 (6.8365) Prec@1 0.391 (0.206) Prec@5 1.562 (0.951)
Epoch: [0][2570/5005] Time 0.609 (0.623) Data 0.000 (0.002) Loss 6.8306 (6.8363) Prec@1 0.000 (0.207) Prec@5 1.953 (0.953)
Epoch: [0][2580/5005] Time 0.607 (0.623) Data 0.001 (0.002) Loss 6.8171 (6.8361) Prec@1 0.000 (0.207) Prec@5 0.781 (0.954)
Epoch: [0][2590/5005] Time 0.617 (0.623) Data 0.000 (0.002) Loss 6.7465 (6.8359) Prec@1 0.391 (0.208) Prec@5 1.562 (0.955)
Epoch: [0][2600/5005] Time 0.603 (0.623) Data 0.000 (0.002) Loss 6.8176 (6.8357) Prec@1 0.391 (0.209) Prec@5 1.172 (0.959)
Epoch: [0][2610/5005] Time 0.615 (0.623) Data 0.000 (0.002) Loss 6.7808 (6.8355) Prec@1 1.172 (0.210) Prec@5 3.125 (0.961)
Epoch: [0][2620/5005] Time 0.617 (0.623) Data 0.000 (0.002) Loss 6.7865 (6.8352) Prec@1 0.000 (0.211) Prec@5 1.953 (0.965)
Epoch: [0][2630/5005] Time 0.611 (0.623) Data 0.000 (0.002) Loss 6.7833 (6.8351) Prec@1 0.391 (0.211) Prec@5 0.781 (0.968)
Epoch: [0][2640/5005] Time 0.617 (0.623) Data 0.000 (0.002) Loss 6.7532 (6.8349) Prec@1 0.391 (0.212) Prec@5 1.953 (0.969)
Epoch: [0][2650/5005] Time 0.612 (0.623) Data 0.000 (0.002) Loss 6.7943 (6.8348) Prec@1 0.000 (0.211) Prec@5 1.172 (0.970)
Epoch: [0][2660/5005] Time 0.595 (0.623) Data 0.000 (0.002) Loss 6.7782 (6.8346) Prec@1 0.391 (0.212) Prec@5 1.953 (0.971)
Epoch: [0][2670/5005] Time 0.609 (0.622) Data 0.000 (0.002) Loss 6.7573 (6.8344) Prec@1 0.000 (0.212) Prec@5 1.562 (0.973)
Epoch: [0][2680/5005] Time 0.615 (0.622) Data 0.000 (0.002) Loss 6.7931 (6.8342) Prec@1 0.391 (0.212) Prec@5 1.172 (0.975)
Epoch: [0][2690/5005] Time 0.610 (0.622) Data 0.000 (0.002) Loss 6.8332 (6.8341) Prec@1 0.391 (0.213) Prec@5 1.172 (0.976)
Epoch: [0][2700/5005] Time 0.615 (0.622) Data 0.000 (0.002) Loss 6.8175 (6.8339) Prec@1 0.391 (0.214) Prec@5 0.781 (0.979)
Epoch: [0][2710/5005] Time 0.612 (0.622) Data 0.000 (0.002) Loss 6.8329 (6.8338) Prec@1 0.781 (0.214) Prec@5 2.344 (0.981)
Epoch: [0][2720/5005] Time 0.615 (0.622) Data 0.000 (0.002) Loss 6.8149 (6.8337) Prec@1 0.781 (0.215) Prec@5 1.562 (0.982)
Epoch: [0][2730/5005] Time 0.616 (0.622) Data 0.000 (0.002) Loss 6.8092 (6.8335) Prec@1 0.391 (0.215) Prec@5 1.172 (0.983)
Epoch: [0][2740/5005] Time 0.610 (0.622) Data 0.000 (0.002) Loss 6.7462 (6.8333) Prec@1 0.391 (0.216) Prec@5 1.172 (0.984)
Epoch: [0][2750/5005] Time 0.618 (0.622) Data 0.000 (0.002) Loss 6.7859 (6.8331) Prec@1 0.391 (0.217) Prec@5 2.344 (0.987)
Epoch: [0][2760/5005] Time 0.620 (0.622) Data 0.000 (0.002) Loss 6.7549 (6.8329) Prec@1 0.391 (0.217) Prec@5 1.172 (0.989)
Epoch: [0][2770/5005] Time 0.612 (0.622) Data 0.000 (0.002) Loss 6.7002 (6.8326) Prec@1 1.172 (0.218) Prec@5 3.125 (0.991)
Epoch: [0][2780/5005] Time 0.606 (0.622) Data 0.000 (0.002) Loss 6.7716 (6.8324) Prec@1 0.000 (0.218) Prec@5 0.391 (0.992)
Epoch: [0][2790/5005] Time 0.618 (0.622) Data 0.001 (0.002) Loss 6.8100 (6.8322) Prec@1 0.000 (0.218) Prec@5 0.781 (0.994)
Epoch: [0][2800/5005] Time 0.619 (0.622) Data 0.000 (0.002) Loss 6.7710 (6.8320) Prec@1 0.391 (0.218) Prec@5 1.953 (0.994)
Epoch: [0][2810/5005] Time 0.617 (0.622) Data 0.000 (0.002) Loss 6.7812 (6.8318) Prec@1 0.391 (0.219) Prec@5 1.172 (0.996)
Epoch: [0][2820/5005] Time 0.620 (0.622) Data 0.000 (0.002) Loss 6.7244 (6.8315) Prec@1 0.391 (0.219) Prec@5 2.344 (0.999)
Epoch: [0][2830/5005] Time 0.610 (0.622) Data 0.000 (0.002) Loss 6.7619 (6.8313) Prec@1 0.391 (0.219) Prec@5 1.953 (1.001)
Epoch: [0][2840/5005] Time 0.612 (0.622) Data 0.000 (0.002) Loss 6.7572 (6.8310) Prec@1 0.781 (0.220) Prec@5 1.562 (1.004)
Epoch: [0][2850/5005] Time 0.607 (0.622) Data 0.000 (0.002) Loss 6.7457 (6.8307) Prec@1 0.000 (0.220) Prec@5 2.344 (1.007)
Epoch: [0][2860/5005] Time 0.610 (0.622) Data 0.000 (0.002) Loss 6.7687 (6.8304) Prec@1 0.391 (0.221) Prec@5 3.125 (1.009)
Epoch: [0][2870/5005] Time 0.609 (0.622) Data 0.000 (0.002) Loss 6.7438 (6.8302) Prec@1 0.391 (0.221) Prec@5 2.734 (1.011)
Epoch: [0][2880/5005] Time 0.607 (0.622) Data 0.000 (0.002) Loss 6.8229 (6.8300) Prec@1 0.000 (0.221) Prec@5 0.781 (1.013)
Epoch: [0][2890/5005] Time 0.616 (0.622) Data 0.000 (0.002) Loss 6.7603 (6.8297) Prec@1 0.391 (0.221) Prec@5 1.562 (1.015)
Epoch: [0][2900/5005] Time 0.605 (0.622) Data 0.000 (0.002) Loss 6.7512 (6.8295) Prec@1 0.391 (0.222) Prec@5 1.953 (1.017)
Epoch: [0][2910/5005] Time 0.613 (0.622) Data 0.001 (0.002) Loss 6.8016 (6.8293) Prec@1 0.000 (0.222) Prec@5 1.562 (1.019)
Epoch: [0][2920/5005] Time 0.610 (0.622) Data 0.000 (0.002) Loss 6.7008 (6.8290) Prec@1 1.172 (0.223) Prec@5 3.125 (1.024)
Epoch: [0][2930/5005] Time 0.612 (0.622) Data 0.000 (0.002) Loss 6.7592 (6.8288) Prec@1 0.000 (0.223) Prec@5 2.344 (1.025)
Epoch: [0][2940/5005] Time 0.611 (0.622) Data 0.000 (0.002) Loss 6.7644 (6.8285) Prec@1 0.391 (0.224) Prec@5 1.172 (1.027)
Epoch: [0][2950/5005] Time 0.608 (0.622) Data 0.000 (0.002) Loss 6.7871 (6.8282) Prec@1 0.391 (0.225) Prec@5 1.172 (1.029)
Epoch: [0][2960/5005] Time 0.613 (0.622) Data 0.000 (0.002) Loss 6.7435 (6.8280) Prec@1 0.391 (0.225) Prec@5 1.172 (1.028)
Epoch: [0][2970/5005] Time 0.608 (0.622) Data 0.000 (0.002) Loss 6.8022 (6.8278) Prec@1 0.000 (0.225) Prec@5 0.000 (1.031)
Epoch: [0][2980/5005] Time 0.612 (0.622) Data 0.000 (0.002) Loss 6.7654 (6.8276) Prec@1 0.000 (0.225) Prec@5 1.562 (1.032)
Epoch: [0][2990/5005] Time 0.616 (0.621) Data 0.000 (0.002) Loss 6.7812 (6.8273) Prec@1 0.000 (0.226) Prec@5 1.172 (1.034)
Epoch: [0][3000/5005] Time 0.606 (0.621) Data 0.000 (0.002) Loss 6.7121 (6.8270) Prec@1 0.391 (0.226) Prec@5 3.125 (1.036)
Epoch: [0][3010/5005] Time 0.603 (0.621) Data 0.000 (0.002) Loss 6.7117 (6.8267) Prec@1 1.172 (0.227) Prec@5 3.516 (1.038)
Epoch: [0][3020/5005] Time 0.615 (0.621) Data 0.001 (0.002) Loss 6.7305 (6.8264) Prec@1 0.391 (0.227) Prec@5 1.953 (1.040)
Epoch: [0][3030/5005] Time 0.612 (0.621) Data 0.000 (0.002) Loss 6.6722 (6.8261) Prec@1 0.000 (0.228) Prec@5 2.734 (1.043)
Epoch: [0][3040/5005] Time 0.609 (0.621) Data 0.000 (0.002) Loss 6.7382 (6.8258) Prec@1 0.391 (0.229) Prec@5 0.781 (1.046)
Epoch: [0][3050/5005] Time 0.617 (0.621) Data 0.000 (0.002) Loss 6.6887 (6.8255) Prec@1 0.000 (0.230) Prec@5 2.734 (1.047)
Epoch: [0][3060/5005] Time 0.609 (0.621) Data 0.001 (0.002) Loss 6.7799 (6.8252) Prec@1 0.391 (0.230) Prec@5 1.562 (1.049)
Epoch: [0][3070/5005] Time 0.613 (0.621) Data 0.000 (0.002) Loss 6.7466 (6.8249) Prec@1 0.391 (0.230) Prec@5 1.172 (1.051)
Epoch: [0][3080/5005] Time 0.620 (0.621) Data 0.000 (0.002) Loss 6.7113 (6.8246) Prec@1 0.391 (0.230) Prec@5 1.562 (1.052)
Epoch: [0][3090/5005] Time 0.620 (0.621) Data 0.000 (0.002) Loss 6.6951 (6.8243) Prec@1 0.000 (0.230) Prec@5 1.562 (1.053)
Epoch: [0][3100/5005] Time 0.611 (0.621) Data 0.000 (0.002) Loss 6.6690 (6.8240) Prec@1 0.781 (0.230) Prec@5 1.953 (1.055)
Epoch: [0][3110/5005] Time 0.610 (0.621) Data 0.000 (0.002) Loss 6.6502 (6.8236) Prec@1 1.562 (0.231) Prec@5 3.906 (1.057)
Epoch: [0][3120/5005] Time 0.612 (0.621) Data 0.001 (0.002) Loss 6.7530 (6.8233) Prec@1 0.391 (0.232) Prec@5 1.172 (1.059)
Epoch: [0][3130/5005] Time 0.616 (0.621) Data 0.000 (0.002) Loss 6.7125 (6.8230) Prec@1 0.781 (0.232) Prec@5 2.344 (1.061)
Epoch: [0][3140/5005] Time 0.613 (0.621) Data 0.000 (0.002) Loss 6.7218 (6.8226) Prec@1 0.781 (0.233) Prec@5 3.125 (1.065)
Epoch: [0][3150/5005] Time 0.612 (0.621) Data 0.000 (0.002) Loss 6.7370 (6.8222) Prec@1 0.000 (0.233) Prec@5 1.172 (1.067)
Epoch: [0][3160/5005] Time 0.619 (0.621) Data 0.000 (0.002) Loss 6.7682 (6.8219) Prec@1 0.391 (0.234) Prec@5 1.562 (1.068)
Epoch: [0][3170/5005] Time 0.609 (0.621) Data 0.000 (0.002) Loss 6.6976 (6.8215) Prec@1 0.781 (0.235) Prec@5 1.172 (1.070)
Epoch: [0][3180/5005] Time 0.617 (0.621) Data 0.000 (0.002) Loss 6.7320 (6.8212) Prec@1 0.000 (0.235) Prec@5 2.734 (1.073)
Epoch: [0][3190/5005] Time 0.617 (0.621) Data 0.000 (0.002) Loss 6.6838 (6.8209) Prec@1 0.391 (0.236) Prec@5 2.734 (1.075)
Epoch: [0][3200/5005] Time 0.609 (0.621) Data 0.000 (0.002) Loss 6.7549 (6.8206) Prec@1 0.000 (0.237) Prec@5 2.344 (1.077)
Epoch: [0][3210/5005] Time 0.612 (0.621) Data 0.000 (0.002) Loss 6.7089 (6.8203) Prec@1 0.000 (0.237) Prec@5 0.781 (1.079)
Epoch: [0][3220/5005] Time 0.607 (0.621) Data 0.000 (0.002) Loss 6.7068 (6.8199) Prec@1 0.391 (0.238) Prec@5 1.172 (1.081)
Epoch: [0][3230/5005] Time 0.608 (0.621) Data 0.000 (0.002) Loss 6.6330 (6.8195) Prec@1 1.172 (0.238) Prec@5 3.125 (1.083)
Epoch: [0][3240/5005] Time 0.615 (0.621) Data 0.000 (0.002) Loss 6.7025 (6.8190) Prec@1 0.000 (0.238) Prec@5 2.344 (1.086)
Epoch: [0][3250/5005] Time 0.614 (0.621) Data 0.000 (0.002) Loss 6.7391 (6.8187) Prec@1 0.000 (0.238) Prec@5 0.391 (1.088)
Epoch: [0][3260/5005] Time 0.606 (0.621) Data 0.000 (0.002) Loss 6.7286 (6.8183) Prec@1 0.391 (0.239) Prec@5 1.953 (1.091)
Epoch: [0][3270/5005] Time 0.614 (0.621) Data 0.000 (0.002) Loss 6.6721 (6.8180) Prec@1 0.781 (0.240) Prec@5 1.562 (1.093)
Epoch: [0][3280/5005] Time 0.618 (0.621) Data 0.000 (0.002) Loss 6.6953 (6.8177) Prec@1 0.391 (0.240) Prec@5 3.516 (1.096)
Epoch: [0][3290/5005] Time 0.610 (0.621) Data 0.000 (0.002) Loss 6.7168 (6.8173) Prec@1 0.781 (0.240) Prec@5 1.953 (1.097)
Epoch: [0][3300/5005] Time 0.615 (0.621) Data 0.000 (0.002) Loss 6.6880 (6.8170) Prec@1 0.000 (0.241) Prec@5 1.562 (1.099)
Epoch: [0][3310/5005] Time 0.613 (0.621) Data 0.000 (0.002) Loss 6.6809 (6.8166) Prec@1 0.781 (0.242) Prec@5 2.344 (1.102)
Epoch: [0][3320/5005] Time 0.613 (0.621) Data 0.000 (0.002) Loss 6.6824 (6.8162) Prec@1 0.000 (0.242) Prec@5 1.172 (1.105)
Epoch: [0][3330/5005] Time 0.617 (0.621) Data 0.001 (0.002) Loss 6.6811 (6.8158) Prec@1 0.000 (0.243) Prec@5 1.562 (1.109)
Epoch: [0][3340/5005] Time 0.613 (0.621) Data 0.001 (0.002) Loss 6.6620 (6.8154) Prec@1 0.781 (0.243) Prec@5 2.734 (1.111)
Epoch: [0][3350/5005] Time 0.618 (0.621) Data 0.000 (0.002) Loss 6.6041 (6.8149) Prec@1 0.391 (0.244) Prec@5 2.734 (1.113)
Epoch: [0][3360/5005] Time 0.617 (0.621) Data 0.000 (0.002) Loss 6.6754 (6.8145) Prec@1 0.000 (0.244) Prec@5 1.562 (1.114)
Epoch: [0][3370/5005] Time 0.618 (0.621) Data 0.000 (0.002) Loss 6.6227 (6.8140) Prec@1 0.000 (0.245) Prec@5 1.562 (1.116)
Epoch: [0][3380/5005] Time 0.609 (0.621) Data 0.000 (0.002) Loss 6.6384 (6.8136) Prec@1 0.000 (0.245) Prec@5 1.953 (1.119)
Epoch: [0][3390/5005] Time 0.618 (0.620) Data 0.001 (0.002) Loss 6.6652 (6.8133) Prec@1 0.000 (0.245) Prec@5 0.000 (1.121)
Epoch: [0][3400/5005] Time 0.622 (0.620) Data 0.000 (0.002) Loss 6.6778 (6.8128) Prec@1 0.000 (0.246) Prec@5 0.391 (1.122)
Epoch: [0][3410/5005] Time 0.617 (0.620) Data 0.000 (0.002) Loss 6.6544 (6.8123) Prec@1 0.781 (0.247) Prec@5 2.344 (1.124)
Epoch: [0][3420/5005] Time 0.607 (0.620) Data 0.001 (0.002) Loss 6.7115 (6.8119) Prec@1 0.000 (0.247) Prec@5 1.172 (1.127)
Epoch: [0][3430/5005] Time 0.609 (0.620) Data 0.000 (0.002) Loss 6.5975 (6.8115) Prec@1 0.391 (0.247) Prec@5 1.562 (1.129)
Epoch: [0][3440/5005] Time 0.612 (0.620) Data 0.000 (0.002) Loss 6.5765 (6.8110) Prec@1 0.000 (0.248) Prec@5 1.953 (1.131)
Epoch: [0][3450/5005] Time 0.616 (0.620) Data 0.000 (0.002) Loss 6.5234 (6.8104) Prec@1 0.391 (0.249) Prec@5 2.344 (1.134)
Epoch: [0][3460/5005] Time 0.621 (0.620) Data 0.000 (0.002) Loss 6.6541 (6.8098) Prec@1 0.391 (0.250) Prec@5 2.734 (1.136)
Epoch: [0][3470/5005] Time 0.613 (0.620) Data 0.000 (0.002) Loss 6.6171 (6.8093) Prec@1 0.000 (0.251) Prec@5 1.953 (1.139)
Epoch: [0][3480/5005] Time 0.614 (0.620) Data 0.000 (0.002) Loss 6.5378 (6.8086) Prec@1 1.172 (0.251) Prec@5 3.906 (1.142)
Epoch: [0][3490/5005] Time 0.609 (0.620) Data 0.000 (0.002) Loss 6.6258 (6.8081) Prec@1 1.172 (0.252) Prec@5 3.125 (1.146)
Epoch: [0][3500/5005] Time 0.617 (0.620) Data 0.000 (0.002) Loss 6.6020 (6.8074) Prec@1 1.172 (0.253) Prec@5 3.516 (1.150)
Epoch: [0][3510/5005] Time 0.614 (0.620) Data 0.000 (0.002) Loss 6.5929 (6.8068) Prec@1 0.391 (0.253) Prec@5 1.562 (1.152)
Epoch: [0][3520/5005] Time 0.619 (0.620) Data 0.000 (0.002) Loss 6.7295 (6.8061) Prec@1 0.391 (0.254) Prec@5 1.562 (1.157)
Epoch: [0][3530/5005] Time 0.611 (0.620) Data 0.000 (0.001) Loss 6.6631 (6.8055) Prec@1 0.781 (0.255) Prec@5 1.953 (1.160)
Epoch: [0][3540/5005] Time 0.614 (0.620) Data 0.000 (0.001) Loss 6.5651 (6.8049) Prec@1 0.391 (0.256) Prec@5 1.953 (1.163)
Epoch: [0][3550/5005] Time 0.617 (0.620) Data 0.000 (0.001) Loss 6.6041 (6.8042) Prec@1 0.391 (0.257) Prec@5 1.953 (1.166)
Epoch: [0][3560/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.4880 (6.8035) Prec@1 0.000 (0.257) Prec@5 1.953 (1.170)
Epoch: [0][3570/5005] Time 0.610 (0.620) Data 0.000 (0.001) Loss 6.6338 (6.8029) Prec@1 0.781 (0.257) Prec@5 3.516 (1.173)
Epoch: [0][3580/5005] Time 0.616 (0.620) Data 0.000 (0.001) Loss 6.4866 (6.8023) Prec@1 0.781 (0.258) Prec@5 2.734 (1.177)
Epoch: [0][3590/5005] Time 0.607 (0.620) Data 0.000 (0.001) Loss 6.5791 (6.8016) Prec@1 0.781 (0.260) Prec@5 3.906 (1.181)
Epoch: [0][3600/5005] Time 0.610 (0.620) Data 0.000 (0.001) Loss 6.4394 (6.8008) Prec@1 1.172 (0.261) Prec@5 3.516 (1.185)
Epoch: [0][3610/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.5757 (6.8002) Prec@1 0.781 (0.262) Prec@5 1.953 (1.188)
Epoch: [0][3620/5005] Time 0.618 (0.620) Data 0.000 (0.001) Loss 6.5184 (6.7995) Prec@1 0.781 (0.263) Prec@5 3.906 (1.193)
Epoch: [0][3630/5005] Time 0.618 (0.620) Data 0.000 (0.001) Loss 6.6219 (6.7988) Prec@1 0.391 (0.264) Prec@5 3.906 (1.196)
Epoch: [0][3640/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.5169 (6.7981) Prec@1 0.781 (0.265) Prec@5 3.125 (1.200)
Epoch: [0][3650/5005] Time 0.620 (0.620) Data 0.000 (0.001) Loss 6.6802 (6.7973) Prec@1 0.000 (0.266) Prec@5 2.734 (1.204)
Epoch: [0][3660/5005] Time 0.615 (0.620) Data 0.000 (0.001) Loss 6.5455 (6.7966) Prec@1 0.781 (0.267) Prec@5 1.953 (1.207)
Epoch: [0][3670/5005] Time 0.622 (0.620) Data 0.000 (0.001) Loss 6.4793 (6.7958) Prec@1 0.000 (0.267) Prec@5 1.562 (1.210)
Epoch: [0][3680/5005] Time 0.616 (0.620) Data 0.000 (0.001) Loss 6.5204 (6.7950) Prec@1 0.391 (0.268) Prec@5 1.953 (1.213)
Epoch: [0][3690/5005] Time 0.614 (0.620) Data 0.000 (0.001) Loss 6.4704 (6.7942) Prec@1 0.000 (0.268) Prec@5 2.734 (1.218)
Epoch: [0][3700/5005] Time 0.616 (0.620) Data 0.000 (0.001) Loss 6.4202 (6.7933) Prec@1 0.000 (0.269) Prec@5 3.125 (1.221)
Epoch: [0][3710/5005] Time 0.618 (0.620) Data 0.000 (0.001) Loss 6.5382 (6.7926) Prec@1 0.781 (0.270) Prec@5 1.953 (1.225)
Epoch: [0][3720/5005] Time 0.609 (0.620) Data 0.000 (0.001) Loss 6.5408 (6.7918) Prec@1 1.562 (0.271) Prec@5 3.125 (1.229)
Epoch: [0][3730/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.4121 (6.7909) Prec@1 0.391 (0.271) Prec@5 0.391 (1.231)
Epoch: [0][3740/5005] Time 0.610 (0.620) Data 0.000 (0.001) Loss 6.5012 (6.7901) Prec@1 0.391 (0.272) Prec@5 1.562 (1.234)
Epoch: [0][3750/5005] Time 0.611 (0.620) Data 0.000 (0.001) Loss 6.4472 (6.7893) Prec@1 0.781 (0.273) Prec@5 2.344 (1.239)
Epoch: [0][3760/5005] Time 0.610 (0.620) Data 0.000 (0.001) Loss 6.4447 (6.7884) Prec@1 0.781 (0.274) Prec@5 3.516 (1.243)
Epoch: [0][3770/5005] Time 0.615 (0.620) Data 0.000 (0.001) Loss 6.5068 (6.7876) Prec@1 0.391 (0.275) Prec@5 2.734 (1.247)
Epoch: [0][3780/5005] Time 0.613 (0.620) Data 0.000 (0.001) Loss 6.4642 (6.7867) Prec@1 0.391 (0.276) Prec@5 1.172 (1.251)
Epoch: [0][3790/5005] Time 0.607 (0.620) Data 0.000 (0.001) Loss 6.4221 (6.7858) Prec@1 0.000 (0.277) Prec@5 3.125 (1.256)
Epoch: [0][3800/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.5225 (6.7849) Prec@1 0.391 (0.278) Prec@5 1.953 (1.261)
Epoch: [0][3810/5005] Time 0.617 (0.620) Data 0.000 (0.001) Loss 6.3724 (6.7840) Prec@1 1.172 (0.279) Prec@5 3.516 (1.265)
Epoch: [0][3820/5005] Time 0.613 (0.620) Data 0.000 (0.001) Loss 6.4756 (6.7831) Prec@1 0.000 (0.280) Prec@5 0.781 (1.267)
Epoch: [0][3830/5005] Time 0.615 (0.620) Data 0.000 (0.001) Loss 6.4381 (6.7823) Prec@1 0.781 (0.281) Prec@5 2.344 (1.271)
Epoch: [0][3840/5005] Time 0.620 (0.620) Data 0.000 (0.001) Loss 6.4335 (6.7813) Prec@1 0.391 (0.283) Prec@5 3.125 (1.278)
Epoch: [0][3850/5005] Time 0.597 (0.620) Data 0.001 (0.001) Loss 6.3790 (6.7804) Prec@1 0.391 (0.284) Prec@5 2.734 (1.281)
Epoch: [0][3860/5005] Time 0.611 (0.620) Data 0.000 (0.001) Loss 6.3823 (6.7794) Prec@1 0.391 (0.284) Prec@5 3.906 (1.286)
Epoch: [0][3870/5005] Time 0.616 (0.620) Data 0.000 (0.001) Loss 6.4132 (6.7785) Prec@1 1.562 (0.286) Prec@5 2.344 (1.290)
Epoch: [0][3880/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.3963 (6.7777) Prec@1 1.172 (0.287) Prec@5 3.906 (1.294)
Epoch: [0][3890/5005] Time 0.610 (0.620) Data 0.000 (0.001) Loss 6.3241 (6.7769) Prec@1 1.172 (0.288) Prec@5 6.641 (1.300)
Epoch: [0][3900/5005] Time 0.614 (0.620) Data 0.000 (0.001) Loss 6.4557 (6.7760) Prec@1 1.172 (0.290) Prec@5 3.125 (1.304)
Epoch: [0][3910/5005] Time 0.607 (0.620) Data 0.000 (0.001) Loss 6.4136 (6.7751) Prec@1 0.391 (0.292) Prec@5 2.344 (1.309)
Epoch: [0][3920/5005] Time 0.606 (0.620) Data 0.000 (0.001) Loss 6.3594 (6.7740) Prec@1 0.781 (0.293) Prec@5 6.641 (1.315)
Epoch: [0][3930/5005] Time 0.614 (0.620) Data 0.000 (0.001) Loss 6.5164 (6.7731) Prec@1 0.781 (0.294) Prec@5 3.516 (1.320)
Epoch: [0][3940/5005] Time 0.612 (0.620) Data 0.000 (0.001) Loss 6.4665 (6.7722) Prec@1 1.172 (0.295) Prec@5 3.516 (1.324)
Epoch: [0][3950/5005] Time 0.622 (0.619) Data 0.001 (0.001) Loss 6.4355 (6.7712) Prec@1 0.391 (0.297) Prec@5 3.516 (1.330)
Epoch: [0][3960/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.5158 (6.7703) Prec@1 0.391 (0.299) Prec@5 1.172 (1.334)
Epoch: [0][3970/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.4147 (6.7695) Prec@1 1.562 (0.300) Prec@5 2.344 (1.338)
Epoch: [0][3980/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.3855 (6.7685) Prec@1 0.781 (0.302) Prec@5 2.344 (1.343)
Epoch: [0][3990/5005] Time 0.612 (0.619) Data 0.001 (0.001) Loss 6.4403 (6.7676) Prec@1 0.000 (0.303) Prec@5 2.734 (1.349)
Epoch: [0][4000/5005] Time 0.618 (0.619) Data 0.000 (0.001) Loss 6.3935 (6.7667) Prec@1 0.000 (0.303) Prec@5 2.734 (1.354)
Epoch: [0][4010/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.4431 (6.7657) Prec@1 0.781 (0.305) Prec@5 3.906 (1.359)
Epoch: [0][4020/5005] Time 0.619 (0.619) Data 0.000 (0.001) Loss 6.3142 (6.7648) Prec@1 1.172 (0.306) Prec@5 3.906 (1.366)
Epoch: [0][4030/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.3345 (6.7638) Prec@1 0.391 (0.307) Prec@5 2.344 (1.371)
Epoch: [0][4040/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.4685 (6.7628) Prec@1 0.000 (0.309) Prec@5 2.344 (1.378)
Epoch: [0][4050/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.4614 (6.7619) Prec@1 0.000 (0.310) Prec@5 2.344 (1.382)
Epoch: [0][4060/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.3706 (6.7609) Prec@1 0.000 (0.312) Prec@5 3.125 (1.389)
Epoch: [0][4070/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.3614 (6.7599) Prec@1 0.391 (0.313) Prec@5 4.688 (1.395)
Epoch: [0][4080/5005] Time 0.623 (0.619) Data 0.000 (0.001) Loss 6.4081 (6.7590) Prec@1 0.781 (0.315) Prec@5 1.953 (1.401)
Epoch: [0][4090/5005] Time 0.617 (0.619) Data 0.001 (0.001) Loss 6.3891 (6.7580) Prec@1 0.781 (0.317) Prec@5 2.734 (1.406)
Epoch: [0][4100/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.2994 (6.7570) Prec@1 0.781 (0.319) Prec@5 2.344 (1.412)
Epoch: [0][4110/5005] Time 0.619 (0.619) Data 0.000 (0.001) Loss 6.3095 (6.7560) Prec@1 0.391 (0.320) Prec@5 2.734 (1.418)
Epoch: [0][4120/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.1973 (6.7549) Prec@1 2.344 (0.322) Prec@5 3.516 (1.422)
Epoch: [0][4130/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.5001 (6.7539) Prec@1 0.781 (0.323) Prec@5 3.516 (1.428)
Epoch: [0][4140/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.3241 (6.7530) Prec@1 0.000 (0.324) Prec@5 3.125 (1.433)
Epoch: [0][4150/5005] Time 0.606 (0.619) Data 0.000 (0.001) Loss 6.4087 (6.7520) Prec@1 1.172 (0.326) Prec@5 3.516 (1.439)
Epoch: [0][4160/5005] Time 0.605 (0.619) Data 0.000 (0.001) Loss 6.3979 (6.7510) Prec@1 1.953 (0.327) Prec@5 3.906 (1.446)
Epoch: [0][4170/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.2860 (6.7500) Prec@1 0.781 (0.329) Prec@5 3.125 (1.452)
Epoch: [0][4180/5005] Time 0.616 (0.619) Data 0.001 (0.001) Loss 6.3755 (6.7490) Prec@1 0.781 (0.330) Prec@5 2.734 (1.457)
Epoch: [0][4190/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.2648 (6.7480) Prec@1 0.391 (0.332) Prec@5 2.734 (1.463)
Epoch: [0][4200/5005] Time 0.615 (0.619) Data 0.001 (0.001) Loss 6.3465 (6.7469) Prec@1 0.391 (0.333) Prec@5 5.078 (1.470)
Epoch: [0][4210/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.3469 (6.7458) Prec@1 0.000 (0.335) Prec@5 2.734 (1.476)
Epoch: [0][4220/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.3066 (6.7448) Prec@1 0.781 (0.336) Prec@5 3.125 (1.481)
Epoch: [0][4230/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.2944 (6.7439) Prec@1 1.172 (0.337) Prec@5 4.688 (1.486)
Epoch: [0][4240/5005] Time 0.607 (0.619) Data 0.000 (0.001) Loss 6.3147 (6.7427) Prec@1 0.000 (0.339) Prec@5 2.734 (1.494)
Epoch: [0][4250/5005] Time 0.612 (0.619) Data 0.000 (0.001) Loss 6.3513 (6.7417) Prec@1 1.562 (0.341) Prec@5 2.344 (1.501)
Epoch: [0][4260/5005] Time 0.620 (0.619) Data 0.000 (0.001) Loss 6.2340 (6.7406) Prec@1 1.172 (0.342) Prec@5 5.078 (1.507)
Epoch: [0][4270/5005] Time 0.620 (0.619) Data 0.000 (0.001) Loss 6.2124 (6.7395) Prec@1 0.781 (0.343) Prec@5 3.125 (1.514)
Epoch: [0][4280/5005] Time 0.609 (0.619) Data 0.001 (0.001) Loss 6.3915 (6.7384) Prec@1 0.391 (0.345) Prec@5 1.172 (1.521)
Epoch: [0][4290/5005] Time 0.623 (0.619) Data 0.000 (0.001) Loss 6.3651 (6.7376) Prec@1 0.391 (0.346) Prec@5 3.125 (1.526)
Epoch: [0][4300/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.3343 (6.7365) Prec@1 0.781 (0.347) Prec@5 3.906 (1.531)
Epoch: [0][4310/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.3111 (6.7356) Prec@1 1.562 (0.348) Prec@5 4.297 (1.536)
Epoch: [0][4320/5005] Time 0.618 (0.619) Data 0.000 (0.001) Loss 6.3304 (6.7345) Prec@1 0.781 (0.350) Prec@5 4.688 (1.543)
Epoch: [0][4330/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.2697 (6.7334) Prec@1 0.781 (0.352) Prec@5 3.906 (1.549)
Epoch: [0][4340/5005] Time 0.609 (0.619) Data 0.000 (0.001) Loss 6.2804 (6.7323) Prec@1 0.391 (0.355) Prec@5 4.688 (1.557)
Epoch: [0][4350/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.2689 (6.7313) Prec@1 0.391 (0.356) Prec@5 4.297 (1.563)
Epoch: [0][4360/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.3308 (6.7303) Prec@1 0.000 (0.357) Prec@5 3.125 (1.568)
Epoch: [0][4370/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.1999 (6.7292) Prec@1 0.781 (0.359) Prec@5 4.688 (1.575)
Epoch: [0][4380/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.3194 (6.7282) Prec@1 1.953 (0.361) Prec@5 5.469 (1.582)
Epoch: [0][4390/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.3084 (6.7272) Prec@1 1.562 (0.363) Prec@5 4.688 (1.589)
Epoch: [0][4400/5005] Time 0.622 (0.619) Data 0.000 (0.001) Loss 6.3335 (6.7260) Prec@1 1.562 (0.365) Prec@5 5.859 (1.595)
Epoch: [0][4410/5005] Time 0.608 (0.619) Data 0.001 (0.001) Loss 6.3536 (6.7250) Prec@1 0.781 (0.366) Prec@5 3.906 (1.601)
Epoch: [0][4420/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.1946 (6.7239) Prec@1 0.391 (0.367) Prec@5 5.859 (1.609)
Epoch: [0][4430/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.2277 (6.7228) Prec@1 1.562 (0.369) Prec@5 5.469 (1.618)
Epoch: [0][4440/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.2653 (6.7218) Prec@1 0.000 (0.371) Prec@5 2.734 (1.624)
Epoch: [0][4450/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.2319 (6.7207) Prec@1 0.781 (0.372) Prec@5 5.469 (1.631)
Epoch: [0][4460/5005] Time 0.609 (0.619) Data 0.000 (0.001) Loss 6.1172 (6.7195) Prec@1 1.953 (0.375) Prec@5 7.812 (1.642)
Epoch: [0][4470/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.1209 (6.7183) Prec@1 1.953 (0.376) Prec@5 5.859 (1.649)
Epoch: [0][4480/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.2436 (6.7172) Prec@1 1.953 (0.378) Prec@5 3.906 (1.656)
Epoch: [0][4490/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.2241 (6.7159) Prec@1 0.781 (0.381) Prec@5 3.516 (1.664)
Epoch: [0][4500/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.1972 (6.7148) Prec@1 1.172 (0.383) Prec@5 4.688 (1.671)
Epoch: [0][4510/5005] Time 0.621 (0.619) Data 0.000 (0.001) Loss 6.2441 (6.7137) Prec@1 0.781 (0.385) Prec@5 5.469 (1.678)
Epoch: [0][4520/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.3232 (6.7125) Prec@1 1.953 (0.388) Prec@5 4.297 (1.685)
Epoch: [0][4530/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.1134 (6.7114) Prec@1 1.562 (0.390) Prec@5 6.250 (1.693)
Epoch: [0][4540/5005] Time 0.611 (0.619) Data 0.000 (0.001) Loss 6.2035 (6.7102) Prec@1 2.344 (0.392) Prec@5 5.078 (1.701)
Epoch: [0][4550/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.2715 (6.7091) Prec@1 1.953 (0.394) Prec@5 6.641 (1.710)
Epoch: [0][4560/5005] Time 0.609 (0.619) Data 0.001 (0.001) Loss 6.1671 (6.7079) Prec@1 1.172 (0.396) Prec@5 5.859 (1.717)
Epoch: [0][4570/5005] Time 0.619 (0.619) Data 0.000 (0.001) Loss 6.1936 (6.7068) Prec@1 0.781 (0.397) Prec@5 5.859 (1.725)
Epoch: [0][4580/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.1211 (6.7057) Prec@1 0.781 (0.400) Prec@5 6.250 (1.733)
Epoch: [0][4590/5005] Time 0.616 (0.619) Data 0.000 (0.001) Loss 6.2088 (6.7046) Prec@1 1.953 (0.402) Prec@5 7.031 (1.742)
Epoch: [0][4600/5005] Time 0.615 (0.619) Data 0.001 (0.001) Loss 6.1215 (6.7035) Prec@1 0.781 (0.404) Prec@5 3.125 (1.749)
Epoch: [0][4610/5005] Time 0.614 (0.619) Data 0.000 (0.001) Loss 6.0947 (6.7025) Prec@1 1.562 (0.406) Prec@5 7.031 (1.757)
Epoch: [0][4620/5005] Time 0.607 (0.619) Data 0.001 (0.001) Loss 6.3017 (6.7013) Prec@1 0.781 (0.409) Prec@5 4.297 (1.765)
Epoch: [0][4630/5005] Time 0.606 (0.619) Data 0.000 (0.001) Loss 6.1720 (6.7002) Prec@1 1.562 (0.412) Prec@5 5.859 (1.774)
Epoch: [0][4640/5005] Time 0.608 (0.619) Data 0.001 (0.001) Loss 6.2857 (6.6991) Prec@1 1.562 (0.414) Prec@5 5.078 (1.782)
Epoch: [0][4650/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.2011 (6.6980) Prec@1 1.562 (0.415) Prec@5 5.469 (1.787)
Epoch: [0][4660/5005] Time 0.606 (0.619) Data 0.000 (0.001) Loss 6.0110 (6.6968) Prec@1 2.734 (0.417) Prec@5 8.594 (1.796)
Epoch: [0][4670/5005] Time 0.617 (0.619) Data 0.000 (0.001) Loss 6.0721 (6.6956) Prec@1 2.344 (0.420) Prec@5 7.422 (1.805)
Epoch: [0][4680/5005] Time 0.610 (0.619) Data 0.000 (0.001) Loss 6.1924 (6.6944) Prec@1 0.391 (0.422) Prec@5 4.688 (1.814)
Epoch: [0][4690/5005] Time 0.613 (0.619) Data 0.000 (0.001) Loss 6.2575 (6.6934) Prec@1 0.781 (0.424) Prec@5 5.469 (1.820)
Epoch: [0][4700/5005] Time 0.615 (0.619) Data 0.000 (0.001) Loss 6.1311 (6.6923) Prec@1 2.344 (0.426) Prec@5 8.203 (1.828)
Epoch: [0][4710/5005] Time 0.607 (0.619) Data 0.000 (0.001) Loss 6.2315 (6.6912) Prec@1 1.562 (0.429) Prec@5 4.297 (1.836)
Epoch: [0][4720/5005] Time 0.616 (0.618) Data 0.001 (0.001) Loss 6.1068 (6.6901) Prec@1 2.344 (0.431) Prec@5 7.422 (1.846)
Epoch: [0][4730/5005] Time 0.606 (0.618) Data 0.000 (0.001) Loss 6.1315 (6.6889) Prec@1 2.734 (0.433) Prec@5 8.203 (1.855)
Epoch: [0][4740/5005] Time 0.617 (0.618) Data 0.000 (0.001) Loss 6.1066 (6.6877) Prec@1 1.562 (0.436) Prec@5 5.859 (1.865)
Epoch: [0][4750/5005] Time 0.622 (0.618) Data 0.000 (0.001) Loss 6.2826 (6.6865) Prec@1 1.562 (0.438) Prec@5 5.469 (1.873)
Epoch: [0][4760/5005] Time 0.607 (0.618) Data 0.000 (0.001) Loss 6.1395 (6.6854) Prec@1 1.172 (0.440) Prec@5 8.984 (1.882)
Epoch: [0][4770/5005] Time 0.615 (0.618) Data 0.000 (0.001) Loss 6.2196 (6.6842) Prec@1 1.953 (0.443) Prec@5 6.641 (1.891)
Epoch: [0][4780/5005] Time 0.620 (0.618) Data 0.000 (0.001) Loss 6.0233 (6.6830) Prec@1 2.344 (0.445) Prec@5 8.594 (1.901)
Epoch: [0][4790/5005] Time 0.615 (0.618) Data 0.000 (0.001) Loss 6.1363 (6.6819) Prec@1 1.562 (0.447) Prec@5 5.469 (1.908)
Epoch: [0][4800/5005] Time 0.610 (0.618) Data 0.000 (0.001) Loss 6.1722 (6.6809) Prec@1 1.562 (0.449) Prec@5 5.859 (1.913)
Epoch: [0][4810/5005] Time 0.622 (0.618) Data 0.000 (0.001) Loss 6.1483 (6.6799) Prec@1 0.391 (0.450) Prec@5 3.516 (1.920)
Epoch: [0][4820/5005] Time 0.614 (0.618) Data 0.000 (0.001) Loss 6.2551 (6.6787) Prec@1 0.781 (0.452) Prec@5 6.641 (1.930)
Epoch: [0][4830/5005] Time 0.612 (0.618) Data 0.000 (0.001) Loss 6.0827 (6.6777) Prec@1 1.953 (0.454) Prec@5 5.859 (1.937)
Epoch: [0][4840/5005] Time 0.611 (0.618) Data 0.000 (0.001) Loss 6.1667 (6.6766) Prec@1 0.781 (0.456) Prec@5 4.688 (1.944)
Epoch: [0][4850/5005] Time 0.606 (0.618) Data 0.000 (0.001) Loss 6.1580 (6.6755) Prec@1 0.391 (0.458) Prec@5 6.250 (1.950)
Epoch: [0][4860/5005] Time 0.613 (0.618) Data 0.000 (0.001) Loss 6.1215 (6.6743) Prec@1 1.172 (0.461) Prec@5 3.516 (1.958)
Epoch: [0][4870/5005] Time 0.612 (0.618) Data 0.000 (0.001) Loss 6.0814 (6.6731) Prec@1 1.562 (0.463) Prec@5 4.688 (1.968)
Epoch: [0][4880/5005] Time 0.614 (0.618) Data 0.000 (0.001) Loss 5.9990 (6.6720) Prec@1 1.953 (0.465) Prec@5 6.641 (1.976)
Epoch: [0][4890/5005] Time 0.616 (0.618) Data 0.000 (0.001) Loss 6.2311 (6.6708) Prec@1 2.344 (0.467) Prec@5 5.078 (1.985)
Epoch: [0][4900/5005] Time 0.609 (0.618) Data 0.000 (0.001) Loss 6.1856 (6.6697) Prec@1 1.172 (0.470) Prec@5 7.422 (1.993)
Epoch: [0][4910/5005] Time 0.609 (0.618) Data 0.000 (0.001) Loss 5.9946 (6.6684) Prec@1 1.953 (0.472) Prec@5 7.031 (2.001)
Epoch: [0][4920/5005] Time 0.616 (0.618) Data 0.000 (0.001) Loss 6.0610 (6.6671) Prec@1 1.953 (0.475) Prec@5 6.641 (2.009)
Epoch: [0][4930/5005] Time 0.618 (0.618) Data 0.000 (0.001) Loss 6.0789 (6.6660) Prec@1 1.172 (0.476) Prec@5 8.984 (2.016)
Epoch: [0][4940/5005] Time 0.608 (0.618) Data 0.000 (0.001) Loss 5.9529 (6.6647) Prec@1 1.562 (0.479) Prec@5 8.984 (2.026)
Epoch: [0][4950/5005] Time 0.606 (0.618) Data 0.000 (0.001) Loss 6.0218 (6.6634) Prec@1 0.781 (0.480) Prec@5 7.031 (2.035)
Epoch: [0][4960/5005] Time 0.615 (0.618) Data 0.001 (0.001) Loss 5.8531 (6.6622) Prec@1 4.297 (0.484) Prec@5 10.938 (2.044)
Epoch: [0][4970/5005] Time 0.619 (0.618) Data 0.000 (0.001) Loss 5.9704 (6.6610) Prec@1 1.953 (0.485) Prec@5 8.594 (2.052)
Epoch: [0][4980/5005] Time 0.603 (0.618) Data 0.000 (0.001) Loss 6.0268 (6.6598) Prec@1 2.344 (0.488) Prec@5 7.812 (2.062)
Epoch: [0][4990/5005] Time 0.606 (0.618) Data 0.000 (0.001) Loss 6.0663 (6.6586) Prec@1 1.562 (0.491) Prec@5 4.688 (2.071)
Epoch: [0][5000/5005] Time 0.607 (0.618) Data 0.000 (0.001) Loss 6.1055 (6.6574) Prec@1 1.953 (0.493) Prec@5 6.250 (2.080)
Test: [0/196] Time 5.240 (5.240) Loss 5.4689 (5.4689) Prec@1 8.984 (8.984) Prec@5 29.297 (29.297)
Test: [10/196] Time 0.201 (0.662) Loss 6.3448 (6.1824) Prec@1 1.172 (2.344) Prec@5 6.641 (8.736)
Test: [20/196] Time 0.204 (0.446) Loss 5.6719 (6.1638) Prec@1 5.469 (1.972) Prec@5 18.359 (7.850)
Test: [30/196] Time 0.206 (0.368) Loss 5.6697 (6.1228) Prec@1 2.734 (1.978) Prec@5 14.453 (8.090)
Test: [40/196] Time 0.202 (0.328) Loss 6.0311 (6.0888) Prec@1 3.906 (1.715) Prec@5 8.203 (7.117)
Test: [50/196] Time 0.207 (0.305) Loss 5.6839 (6.0628) Prec@1 1.172 (1.562) Prec@5 11.328 (6.840)
Test: [60/196] Time 0.203 (0.288) Loss 6.6514 (6.0460) Prec@1 0.000 (1.518) Prec@5 0.000 (6.788)
Test: [70/196] Time 0.204 (0.277) Loss 6.0265 (6.0450) Prec@1 0.000 (1.777) Prec@5 1.953 (7.097)
Test: [80/196] Time 0.203 (0.267) Loss 6.2127 (6.0310) Prec@1 0.000 (1.886) Prec@5 0.391 (7.205)
Test: [90/196] Time 0.201 (0.261) Loss 6.3936 (6.0391) Prec@1 0.000 (1.824) Prec@5 0.000 (6.980)
Test: [100/196] Time 0.204 (0.255) Loss 6.1846 (6.0159) Prec@1 0.000 (1.895) Prec@5 0.391 (7.101)
Test: [110/196] Time 0.203 (0.250) Loss 5.6408 (5.9970) Prec@1 1.953 (1.886) Prec@5 14.062 (7.105)
Test: [120/196] Time 0.202 (0.247) Loss 6.1493 (5.9929) Prec@1 0.000 (1.869) Prec@5 3.125 (7.044)
Test: [130/196] Time 0.202 (0.244) Loss 5.9653 (5.9783) Prec@1 4.297 (1.914) Prec@5 10.547 (7.398)
Test: [140/196] Time 0.202 (0.241) Loss 5.8007 (5.9756) Prec@1 0.000 (1.989) Prec@5 3.125 (7.450)
Test: [150/196] Time 0.230 (0.239) Loss 6.0940 (5.9701) Prec@1 1.953 (2.051) Prec@5 9.375 (7.541)
Test: [160/196] Time 0.202 (0.237) Loss 5.7520 (5.9706) Prec@1 2.734 (2.026) Prec@5 5.078 (7.436)
Test: [170/196] Time 0.203 (0.235) Loss 5.3575 (5.9683) Prec@1 5.078 (1.967) Prec@5 25.000 (7.376)
Test: [180/196] Time 0.201 (0.233) Loss 5.7381 (5.9615) Prec@1 4.688 (1.988) Prec@5 10.547 (7.396)
Test: [190/196] Time 0.201 (0.231) Loss 5.2429 (5.9534) Prec@1 7.031 (2.109) Prec@5 18.750 (7.763)
* Prec@1 2.226 Prec@5 7.964
Epoch: [1][0/5005] Time 4.253 (4.253) Data 3.993 (3.993) Loss 6.1315 (6.1315) Prec@1 0.000 (0.000) Prec@5 5.469 (5.469)
Epoch: [1][10/5005] Time 0.616 (0.960) Data 0.000 (0.417) Loss 5.9348 (6.0841) Prec@1 1.953 (1.314) Prec@5 7.812 (5.895)
Epoch: [1][20/5005] Time 0.617 (0.795) Data 0.001 (0.219) Loss 6.0415 (6.0717) Prec@1 2.734 (1.544) Prec@5 6.641 (5.990)
Epoch: [1][30/5005] Time 0.612 (0.737) Data 0.000 (0.148) Loss 5.9712 (6.0630) Prec@1 2.344 (1.600) Prec@5 8.984 (6.074)
Epoch: [1][40/5005] Time 0.622 (0.707) Data 0.000 (0.112) Loss 5.8879 (6.0542) Prec@1 1.562 (1.658) Prec@5 5.859 (6.317)
Epoch: [1][50/5005] Time 0.612 (0.689) Data 0.000 (0.090) Loss 6.0876 (6.0523) Prec@1 1.562 (1.624) Prec@5 5.469 (6.403)
Epoch: [1][60/5005] Time 0.622 (0.677) Data 0.000 (0.076) Loss 5.8952 (6.0425) Prec@1 1.953 (1.671) Prec@5 6.641 (6.564)
Epoch: [1][70/5005] Time 0.619 (0.668) Data 0.000 (0.065) Loss 5.9670 (6.0350) Prec@1 1.562 (1.728) Prec@5 9.766 (6.690)
Epoch: [1][80/5005] Time 0.614 (0.661) Data 0.000 (0.057) Loss 6.1252 (6.0408) Prec@1 2.344 (1.751) Prec@5 8.203 (6.665)
Epoch: [1][90/5005] Time 0.613 (0.656) Data 0.000 (0.051) Loss 6.1577 (6.0541) Prec@1 1.562 (1.730) Prec@5 5.859 (6.508)
Epoch: [1][100/5005] Time 0.609 (0.652) Data 0.000 (0.046) Loss 6.1514 (6.0560) Prec@1 1.562 (1.775) Prec@5 5.078 (6.540)
Epoch: [1][110/5005] Time 0.619 (0.648) Data 0.000 (0.042) Loss 6.0307 (6.0618) Prec@1 1.172 (1.753) Prec@5 6.250 (6.482)
Epoch: [1][120/5005] Time 0.613 (0.646) Data 0.000 (0.038) Loss 5.9833 (6.0618) Prec@1 1.172 (1.737) Prec@5 8.984 (6.511)
Epoch: [1][130/5005] Time 0.621 (0.643) Data 0.000 (0.035) Loss 6.1291 (6.0590) Prec@1 3.125 (1.759) Prec@5 9.766 (6.542)
Epoch: [1][140/5005] Time 0.612 (0.641) Data 0.000 (0.033) Loss 6.2168 (6.0538) Prec@1 0.391 (1.823) Prec@5 5.078 (6.641)
Epoch: [1][150/5005] Time 0.621 (0.639) Data 0.000 (0.031) Loss 6.0306 (6.0526) Prec@1 1.562 (1.839) Prec@5 5.078 (6.659)
Epoch: [1][160/5005] Time 0.616 (0.638) Data 0.000 (0.029) Loss 5.9603 (6.0472) Prec@1 1.953 (1.854) Prec@5 4.688 (6.696)
Epoch: [1][170/5005] Time 0.614 (0.636) Data 0.000 (0.027) Loss 5.9167 (6.0439) Prec@1 3.906 (1.880) Prec@5 7.422 (6.743)
Epoch: [1][180/5005] Time 0.607 (0.635) Data 0.000 (0.026) Loss 5.9849 (6.0436) Prec@1 1.172 (1.882) Prec@5 6.641 (6.757)
Epoch: [1][190/5005] Time 0.620 (0.634) Data 0.000 (0.024) Loss 6.0449 (6.0409) Prec@1 1.562 (1.875) Prec@5 8.594 (6.806)
Epoch: [1][200/5005] Time 0.613 (0.633) Data 0.000 (0.023) Loss 6.0113 (6.0386) Prec@1 1.953 (1.870) Prec@5 5.469 (6.804)
Epoch: [1][210/5005] Time 0.614 (0.632) Data 0.000 (0.022) Loss 5.9676 (6.0362) Prec@1 2.344 (1.872) Prec@5 10.156 (6.866)
Epoch: [1][220/5005] Time 0.609 (0.631) Data 0.000 (0.021) Loss 6.0889 (6.0332) Prec@1 4.297 (1.911) Prec@5 9.375 (6.923)
Epoch: [1][230/5005] Time 0.605 (0.630) Data 0.000 (0.020) Loss 6.1601 (6.0325) Prec@1 0.781 (1.909) Prec@5 4.688 (6.928)
Epoch: [1][240/5005] Time 0.613 (0.630) Data 0.000 (0.019) Loss 5.9428 (6.0306) Prec@1 0.391 (1.898) Prec@5 8.203 (6.942)
Epoch: [1][250/5005] Time 0.619 (0.629) Data 0.000 (0.019) Loss 5.8911 (6.0287) Prec@1 1.172 (1.900) Prec@5 7.422 (6.957)
Epoch: [1][260/5005] Time 0.605 (0.628) Data 0.000 (0.018) Loss 5.8575 (6.0272) Prec@1 1.953 (1.899) Prec@5 9.375 (6.958)
Epoch: [1][270/5005] Time 0.615 (0.628) Data 0.000 (0.017) Loss 5.9523 (6.0250) Prec@1 3.516 (1.927) Prec@5 8.203 (7.004)
Epoch: [1][280/5005] Time 0.618 (0.627) Data 0.000 (0.017) Loss 6.0414 (6.0235) Prec@1 1.953 (1.950) Prec@5 5.469 (7.022)
Epoch: [1][290/5005] Time 0.612 (0.627) Data 0.000 (0.016) Loss 5.9094 (6.0212) Prec@1 3.516 (1.965) Prec@5 7.422 (7.047)
Epoch: [1][300/5005] Time 0.607 (0.626) Data 0.000 (0.016) Loss 6.1143 (6.0214) Prec@1 1.562 (1.953) Prec@5 6.250 (7.029)
Epoch: [1][310/5005] Time 0.616 (0.626) Data 0.000 (0.015) Loss 6.0052 (6.0200) Prec@1 1.562 (1.951) Prec@5 7.422 (7.031)
Epoch: [1][320/5005] Time 0.608 (0.626) Data 0.000 (0.015) Loss 6.0618 (6.0185) Prec@1 1.562 (1.949) Prec@5 6.641 (7.063)
Epoch: [1][330/5005] Time 0.616 (0.625) Data 0.000 (0.014) Loss 5.9665 (6.0177) Prec@1 1.562 (1.950) Prec@5 5.469 (7.043)
Epoch: [1][340/5005] Time 0.613 (0.625) Data 0.000 (0.014) Loss 5.9048 (6.0167) Prec@1 2.734 (1.947) Prec@5 10.938 (7.058)
Epoch: [1][350/5005] Time 0.615 (0.625) Data 0.000 (0.014) Loss 5.8807 (6.0142) Prec@1 1.953 (1.959) Prec@5 8.203 (7.085)
Epoch: [1][360/5005] Time 0.610 (0.624) Data 0.000 (0.013) Loss 6.0225 (6.0123) Prec@1 1.172 (1.967) Prec@5 6.250 (7.104)
Epoch: [1][370/5005] Time 0.616 (0.624) Data 0.000 (0.013) Loss 6.0110 (6.0121) Prec@1 1.953 (1.979) Prec@5 6.641 (7.121)
Epoch: [1][380/5005] Time 0.623 (0.624) Data 0.000 (0.012) Loss 5.8878 (6.0112) Prec@1 2.344 (1.974) Prec@5 10.156 (7.136)
Epoch: [1][390/5005] Time 0.613 (0.624) Data 0.000 (0.012) Loss 5.9161 (6.0097) Prec@1 1.562 (1.985) Prec@5 5.469 (7.168)
Epoch: [1][400/5005] Time 0.612 (0.623) Data 0.000 (0.012) Loss 5.9901 (6.0080) Prec@1 2.734 (1.990) Prec@5 8.203 (7.181)
Epoch: [1][410/5005] Time 0.618 (0.623) Data 0.000 (0.012) Loss 6.0162 (6.0059) Prec@1 1.172 (1.999) Prec@5 5.469 (7.194)
Epoch: [1][420/5005] Time 0.609 (0.623) Data 0.000 (0.011) Loss 5.8774 (6.0042) Prec@1 2.734 (2.008) Prec@5 8.203 (7.208)
Epoch: [1][430/5005] Time 0.612 (0.623) Data 0.000 (0.011) Loss 5.9417 (6.0025) Prec@1 1.562 (2.009) Prec@5 7.422 (7.248)
Epoch: [1][440/5005] Time 0.610 (0.623) Data 0.000 (0.011) Loss 5.9008 (6.0000) Prec@1 3.516 (2.022) Prec@5 12.891 (7.291)
Epoch: [1][450/5005] Time 0.607 (0.622) Data 0.000 (0.011) Loss 5.8267 (5.9981) Prec@1 3.906 (2.036) Prec@5 8.984 (7.314)
Epoch: [1][460/5005] Time 0.618 (0.622) Data 0.000 (0.010) Loss 5.9864 (5.9949) Prec@1 2.344 (2.045) Prec@5 7.422 (7.360)
Epoch: [1][470/5005] Time 0.621 (0.622) Data 0.000 (0.010) Loss 5.8612 (5.9917) Prec@1 2.344 (2.057) Prec@5 10.156 (7.403)
Epoch: [1][480/5005] Time 0.620 (0.622) Data 0.000 (0.010) Loss 5.7727 (5.9886) Prec@1 3.906 (2.068) Prec@5 11.328 (7.440)
Epoch: [1][490/5005] Time 0.614 (0.622) Data 0.000 (0.010) Loss 5.9276 (5.9865) Prec@1 1.953 (2.066) Prec@5 5.859 (7.458)
Epoch: [1][500/5005] Time 0.620 (0.622) Data 0.000 (0.010) Loss 5.9115 (5.9832) Prec@1 1.562 (2.071) Prec@5 6.250 (7.485)
Epoch: [1][510/5005] Time 0.615 (0.621) Data 0.000 (0.009) Loss 5.8248 (5.9809) Prec@1 2.344 (2.078) Prec@5 9.766 (7.524)
Epoch: [1][520/5005] Time 0.615 (0.621) Data 0.000 (0.009) Loss 6.1199 (5.9807) Prec@1 1.562 (2.083) Prec@5 5.078 (7.526)
Epoch: [1][530/5005] Time 0.609 (0.621) Data 0.000 (0.009) Loss 5.9374 (5.9805) Prec@1 1.953 (2.087) Prec@5 7.812 (7.532)
Epoch: [1][540/5005] Time 0.612 (0.621) Data 0.000 (0.009) Loss 6.0534 (5.9800) Prec@1 2.734 (2.089) Prec@5 6.250 (7.555)
Epoch: [1][550/5005] Time 0.606 (0.621) Data 0.000 (0.009) Loss 5.8799 (5.9784) Prec@1 2.734 (2.091) Prec@5 8.203 (7.570)
Epoch: [1][560/5005] Time 0.612 (0.621) Data 0.000 (0.009) Loss 5.7890 (5.9778) Prec@1 2.734 (2.098) Prec@5 9.766 (7.580)
Epoch: [1][570/5005] Time 0.620 (0.621) Data 0.000 (0.008) Loss 5.7780 (5.9758) Prec@1 1.172 (2.101) Prec@5 8.594 (7.595)
Epoch: [1][580/5005] Time 0.608 (0.620) Data 0.000 (0.008) Loss 5.9357 (5.9731) Prec@1 3.125 (2.110) Prec@5 8.203 (7.636)
Epoch: [1][590/5005] Time 0.607 (0.620) Data 0.000 (0.008) Loss 5.9702 (5.9732) Prec@1 1.172 (2.121) Prec@5 7.422 (7.655)
Epoch: [1][600/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 5.8238 (5.9717) Prec@1 3.125 (2.124) Prec@5 9.766 (7.673)
Epoch: [1][610/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 5.9635 (5.9712) Prec@1 1.953 (2.129) Prec@5 8.594 (7.683)
Epoch: [1][620/5005] Time 0.618 (0.620) Data 0.000 (0.008) Loss 5.8006 (5.9696) Prec@1 1.953 (2.136) Prec@5 9.375 (7.706)
Epoch: [1][630/5005] Time 0.609 (0.620) Data 0.000 (0.008) Loss 5.7893 (5.9675) Prec@1 1.172 (2.142) Prec@5 8.984 (7.734)
Epoch: [1][640/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 5.8346 (5.9651) Prec@1 1.953 (2.155) Prec@5 11.328 (7.763)
Epoch: [1][650/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 5.9214 (5.9630) Prec@1 1.953 (2.166) Prec@5 8.594 (7.793)
Epoch: [1][660/5005] Time 0.614 (0.620) Data 0.000 (0.007) Loss 5.8646 (5.9612) Prec@1 2.734 (2.174) Prec@5 9.375 (7.824)
Epoch: [1][670/5005] Time 0.614 (0.620) Data 0.000 (0.007) Loss 5.7312 (5.9596) Prec@1 3.125 (2.178) Prec@5 9.375 (7.852)
Epoch: [1][680/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 5.8470 (5.9577) Prec@1 2.344 (2.187) Prec@5 8.203 (7.873)
Epoch: [1][690/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 5.8820 (5.9556) Prec@1 1.562 (2.186) Prec@5 6.641 (7.896)
Epoch: [1][700/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 5.8379 (5.9535) Prec@1 3.125 (2.193) Prec@5 8.594 (7.920)
Epoch: [1][710/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 5.7990 (5.9518) Prec@1 1.562 (2.199) Prec@5 7.422 (7.942)
Epoch: [1][720/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 5.8186 (5.9506) Prec@1 3.906 (2.213) Prec@5 12.109 (7.965)
Epoch: [1][730/5005] Time 0.610 (0.619) Data 0.000 (0.007) Loss 5.7645 (5.9487) Prec@1 2.734 (2.227) Prec@5 8.984 (7.995)
Epoch: [1][740/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 5.8361 (5.9469) Prec@1 3.125 (2.237) Prec@5 7.422 (8.022)
Epoch: [1][750/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 5.9843 (5.9455) Prec@1 1.562 (2.246) Prec@5 7.422 (8.044)
Epoch: [1][760/5005] Time 0.616 (0.619) Data 0.000 (0.006) Loss 5.8373 (5.9438) Prec@1 1.172 (2.249) Prec@5 7.812 (8.065)
Epoch: [1][770/5005] Time 0.617 (0.619) Data 0.000 (0.006) Loss 5.8117 (5.9421) Prec@1 2.734 (2.260) Prec@5 8.203 (8.086)
Epoch: [1][780/5005] Time 0.608 (0.619) Data 0.000 (0.006) Loss 5.6926 (5.9397) Prec@1 3.906 (2.268) Prec@5 13.672 (8.117)
Epoch: [1][790/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 5.8026 (5.9386) Prec@1 3.125 (2.273) Prec@5 9.375 (8.125)
Epoch: [1][800/5005] Time 0.613 (0.619) Data 0.000 (0.006) Loss 5.7728 (5.9372) Prec@1 3.516 (2.274) Prec@5 9.766 (8.137)
Epoch: [1][810/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 5.8720 (5.9354) Prec@1 1.562 (2.281) Prec@5 9.375 (8.169)
Epoch: [1][820/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 5.6648 (5.9333) Prec@1 3.125 (2.295) Prec@5 14.062 (8.202)
Epoch: [1][830/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 5.7001 (5.9312) Prec@1 3.125 (2.301) Prec@5 10.547 (8.226)
Epoch: [1][840/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 5.7177 (5.9292) Prec@1 5.078 (2.307) Prec@5 14.844 (8.253)
Epoch: [1][850/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 5.7955 (5.9273) Prec@1 1.562 (2.317) Prec@5 7.812 (8.285)
Epoch: [1][860/5005] Time 0.615 (0.618) Data 0.000 (0.006) Loss 5.8468 (5.9263) Prec@1 4.297 (2.324) Prec@5 11.719 (8.296)
Epoch: [1][870/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 5.8261 (5.9247) Prec@1 1.562 (2.333) Prec@5 9.766 (8.321)
Epoch: [1][880/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 5.8516 (5.9226) Prec@1 2.734 (2.340) Prec@5 12.109 (8.339)
Epoch: [1][890/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 5.7208 (5.9202) Prec@1 3.125 (2.349) Prec@5 8.594 (8.359)
Epoch: [1][900/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 5.6345 (5.9187) Prec@1 2.734 (2.356) Prec@5 10.156 (8.382)
Epoch: [1][910/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 5.7103 (5.9168) Prec@1 2.734 (2.364) Prec@5 8.984 (8.395)
Epoch: [1][920/5005] Time 0.606 (0.618) Data 0.000 (0.005) Loss 5.8430 (5.9157) Prec@1 3.125 (2.371) Prec@5 9.766 (8.412)
Epoch: [1][930/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 5.8279 (5.9139) Prec@1 3.906 (2.377) Prec@5 12.109 (8.432)
Epoch: [1][940/5005] Time 0.622 (0.618) Data 0.000 (0.005) Loss 5.8469 (5.9122) Prec@1 1.953 (2.380) Prec@5 7.422 (8.446)
Epoch: [1][950/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 5.7497 (5.9109) Prec@1 1.953 (2.387) Prec@5 10.156 (8.455)
Epoch: [1][960/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 5.7273 (5.9087) Prec@1 3.906 (2.401) Prec@5 11.719 (8.484)
Epoch: [1][970/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 5.6036 (5.9073) Prec@1 1.953 (2.402) Prec@5 12.500 (8.505)
Epoch: [1][980/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 5.7922 (5.9053) Prec@1 1.562 (2.405) Prec@5 7.031 (8.518)
Epoch: [1][990/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 5.7131 (5.9037) Prec@1 3.125 (2.414) Prec@5 10.938 (8.541)
Epoch: [1][1000/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 5.6274 (5.9025) Prec@1 3.516 (2.423) Prec@5 15.234 (8.566)
Epoch: [1][1010/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 5.5927 (5.9008) Prec@1 5.469 (2.437) Prec@5 12.891 (8.593)
Epoch: [1][1020/5005] Time 0.622 (0.617) Data 0.000 (0.005) Loss 5.6549 (5.8996) Prec@1 3.906 (2.442) Prec@5 10.156 (8.603)
Epoch: [1][1030/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 5.8286 (5.8981) Prec@1 2.734 (2.452) Prec@5 8.594 (8.621)
Epoch: [1][1040/5005] Time 0.622 (0.617) Data 0.000 (0.005) Loss 5.7705 (5.8969) Prec@1 1.953 (2.453) Prec@5 8.594 (8.640)
Epoch: [1][1050/5005] Time 0.620 (0.617) Data 0.000 (0.005) Loss 5.7547 (5.8949) Prec@1 3.906 (2.461) Prec@5 11.328 (8.664)
Epoch: [1][1060/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 5.7897 (5.8928) Prec@1 1.953 (2.466) Prec@5 12.109 (8.696)
Epoch: [1][1070/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 5.7894 (5.8915) Prec@1 3.516 (2.467) Prec@5 10.156 (8.720)
Epoch: [1][1080/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 5.7584 (5.8903) Prec@1 1.562 (2.477) Prec@5 8.984 (8.735)
Epoch: [1][1090/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 5.8305 (5.8884) Prec@1 1.953 (2.487) Prec@5 7.422 (8.765)
Epoch: [1][1100/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 5.7342 (5.8863) Prec@1 5.078 (2.492) Prec@5 11.719 (8.783)
Epoch: [1][1110/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 5.6508 (5.8840) Prec@1 2.734 (2.500) Prec@5 8.203 (8.809)
Epoch: [1][1120/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 5.6457 (5.8820) Prec@1 1.562 (2.503) Prec@5 10.938 (8.831)
Epoch: [1][1130/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 5.5951 (5.8807) Prec@1 3.125 (2.508) Prec@5 12.891 (8.844)
Epoch: [1][1140/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 5.7259 (5.8796) Prec@1 2.734 (2.512) Prec@5 12.109 (8.857)
Epoch: [1][1150/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 5.6899 (5.8781) Prec@1 3.516 (2.519) Prec@5 11.719 (8.882)
Epoch: [1][1160/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 5.7125 (5.8768) Prec@1 4.688 (2.525) Prec@5 12.891 (8.898)
Epoch: [1][1170/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 5.5872 (5.8750) Prec@1 3.516 (2.535) Prec@5 11.719 (8.914)
Epoch: [1][1180/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 5.7878 (5.8734) Prec@1 2.734 (2.544) Prec@5 11.719 (8.937)
Epoch: [1][1190/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 5.7045 (5.8722) Prec@1 3.125 (2.550) Prec@5 12.891 (8.953)
Epoch: [1][1200/5005] Time 0.621 (0.617) Data 0.000 (0.004) Loss 5.9074 (5.8707) Prec@1 3.906 (2.562) Prec@5 11.328 (8.978)
Epoch: [1][1210/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 5.7941 (5.8696) Prec@1 3.125 (2.570) Prec@5 11.328 (8.999)
Epoch: [1][1220/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 5.6174 (5.8680) Prec@1 5.469 (2.584) Prec@5 13.672 (9.024)
Epoch: [1][1230/5005] Time 0.605 (0.617) Data 0.000 (0.004) Loss 5.7155 (5.8662) Prec@1 2.344 (2.589) Prec@5 8.984 (9.045)
Epoch: [1][1240/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 5.7597 (5.8643) Prec@1 4.297 (2.599) Prec@5 13.281 (9.075)
Epoch: [1][1250/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 5.6686 (5.8627) Prec@1 3.125 (2.609) Prec@5 10.156 (9.098)
Epoch: [1][1260/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 5.7679 (5.8612) Prec@1 1.953 (2.614) Prec@5 12.109 (9.121)
Epoch: [1][1270/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 5.5976 (5.8596) Prec@1 3.906 (2.618) Prec@5 15.625 (9.148)
Epoch: [1][1280/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 5.5872 (5.8582) Prec@1 5.469 (2.626) Prec@5 14.062 (9.168)
Epoch: [1][1290/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 5.7300 (5.8571) Prec@1 4.297 (2.631) Prec@5 12.500 (9.181)
Epoch: [1][1300/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 5.7255 (5.8557) Prec@1 3.125 (2.636) Prec@5 10.938 (9.195)
Epoch: [1][1310/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 5.7216 (5.8545) Prec@1 3.516 (2.641) Prec@5 10.156 (9.214)
Epoch: [1][1320/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 5.5888 (5.8531) Prec@1 4.297 (2.650) Prec@5 14.062 (9.230)
Epoch: [1][1330/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 5.6824 (5.8516) Prec@1 2.734 (2.655) Prec@5 9.766 (9.245)
Epoch: [1][1340/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 5.6904 (5.8500) Prec@1 3.125 (2.661) Prec@5 14.062 (9.268)
Epoch: [1][1350/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 5.5582 (5.8483) Prec@1 5.859 (2.669) Prec@5 14.453 (9.288)
Epoch: [1][1360/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 5.6418 (5.8466) Prec@1 3.125 (2.680) Prec@5 10.156 (9.306)
Epoch: [1][1370/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 5.7342 (5.8453) Prec@1 3.125 (2.685) Prec@5 8.594 (9.321)
Epoch: [1][1380/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 5.6872 (5.8441) Prec@1 2.734 (2.692) Prec@5 10.547 (9.335)
Epoch: [1][1390/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 5.5223 (5.8427) Prec@1 3.906 (2.693) Prec@5 13.281 (9.349)
Epoch: [1][1400/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 5.6895 (5.8418) Prec@1 3.906 (2.696) Prec@5 13.672 (9.365)
Epoch: [1][1410/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 5.6003 (5.8404) Prec@1 3.516 (2.703) Prec@5 15.234 (9.385)
Epoch: [1][1420/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 5.6843 (5.8392) Prec@1 3.906 (2.706) Prec@5 10.938 (9.403)
Epoch: [1][1430/5005] Time 0.624 (0.616) Data 0.000 (0.004) Loss 5.5836 (5.8382) Prec@1 3.906 (2.710) Prec@5 13.281 (9.421)
Epoch: [1][1440/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 5.7230 (5.8369) Prec@1 2.734 (2.718) Prec@5 11.328 (9.442)
Epoch: [1][1450/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 5.5673 (5.8355) Prec@1 3.516 (2.725) Prec@5 12.500 (9.462)
Epoch: [1][1460/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 5.6112 (5.8340) Prec@1 3.516 (2.730) Prec@5 12.109 (9.482)
Epoch: [1][1470/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 5.4258 (5.8323) Prec@1 5.469 (2.737) Prec@5 11.328 (9.505)
Epoch: [1][1480/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 5.7172 (5.8304) Prec@1 3.516 (2.744) Prec@5 10.938 (9.527)
Epoch: [1][1490/5005] Time 0.622 (0.616) Data 0.000 (0.004) Loss 5.5376 (5.8290) Prec@1 2.344 (2.749) Prec@5 10.938 (9.541)
Epoch: [1][1500/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 5.8395 (5.8280) Prec@1 2.344 (2.752) Prec@5 9.766 (9.552)
Epoch: [1][1510/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.4760 (5.8270) Prec@1 2.734 (2.756) Prec@5 14.062 (9.566)
Epoch: [1][1520/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 5.5811 (5.8255) Prec@1 3.906 (2.767) Prec@5 10.156 (9.586)
Epoch: [1][1530/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.7304 (5.8238) Prec@1 2.734 (2.776) Prec@5 12.500 (9.616)
Epoch: [1][1540/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 5.6307 (5.8222) Prec@1 2.734 (2.784) Prec@5 14.062 (9.638)
Epoch: [1][1550/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 5.3651 (5.8205) Prec@1 5.469 (2.789) Prec@5 13.672 (9.654)
Epoch: [1][1560/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 5.6668 (5.8188) Prec@1 2.344 (2.795) Prec@5 11.719 (9.677)
Epoch: [1][1570/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 5.7463 (5.8178) Prec@1 4.297 (2.803) Prec@5 12.500 (9.696)
Epoch: [1][1580/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 5.5970 (5.8163) Prec@1 5.469 (2.812) Prec@5 13.281 (9.722)
Epoch: [1][1590/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 5.7673 (5.8153) Prec@1 3.125 (2.819) Prec@5 10.547 (9.738)
Epoch: [1][1600/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 5.7034 (5.8139) Prec@1 1.562 (2.820) Prec@5 10.156 (9.758)
Epoch: [1][1610/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 5.5881 (5.8124) Prec@1 2.734 (2.827) Prec@5 17.188 (9.779)
Epoch: [1][1620/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 5.5817 (5.8112) Prec@1 5.078 (2.833) Prec@5 14.453 (9.797)
Epoch: [1][1630/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 5.6458 (5.8102) Prec@1 2.344 (2.838) Prec@5 10.156 (9.808)
Epoch: [1][1640/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 5.6084 (5.8096) Prec@1 3.906 (2.839) Prec@5 12.109 (9.816)
Epoch: [1][1650/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.6435 (5.8088) Prec@1 4.297 (2.846) Prec@5 12.109 (9.826)
Epoch: [1][1660/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 5.7132 (5.8078) Prec@1 1.953 (2.853) Prec@5 10.156 (9.844)
Epoch: [1][1670/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.3803 (5.8063) Prec@1 4.688 (2.858) Prec@5 14.453 (9.861)
Epoch: [1][1680/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.4454 (5.8045) Prec@1 4.297 (2.863) Prec@5 12.109 (9.882)
Epoch: [1][1690/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.7130 (5.8029) Prec@1 2.734 (2.873) Prec@5 12.500 (9.904)
Epoch: [1][1700/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 5.5677 (5.8014) Prec@1 4.688 (2.882) Prec@5 13.672 (9.923)
Epoch: [1][1710/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 5.5954 (5.8003) Prec@1 5.469 (2.888) Prec@5 12.500 (9.934)
Epoch: [1][1720/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 5.4870 (5.7989) Prec@1 2.344 (2.887) Prec@5 16.797 (9.951)
Epoch: [1][1730/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.4562 (5.7974) Prec@1 4.297 (2.894) Prec@5 16.406 (9.975)
Epoch: [1][1740/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 5.4580 (5.7959) Prec@1 3.516 (2.901) Prec@5 12.891 (9.992)
Epoch: [1][1750/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.6058 (5.7943) Prec@1 1.562 (2.907) Prec@5 10.156 (10.010)
Epoch: [1][1760/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.6556 (5.7929) Prec@1 4.688 (2.916) Prec@5 13.672 (10.032)
Epoch: [1][1770/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 5.4731 (5.7914) Prec@1 3.906 (2.926) Prec@5 13.672 (10.054)
Epoch: [1][1780/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 5.5272 (5.7902) Prec@1 5.469 (2.931) Prec@5 13.281 (10.072)
Epoch: [1][1790/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 5.6120 (5.7889) Prec@1 3.516 (2.934) Prec@5 12.109 (10.089)
Epoch: [1][1800/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 5.6564 (5.7876) Prec@1 3.906 (2.942) Prec@5 12.891 (10.109)
Epoch: [1][1810/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 5.9300 (5.7865) Prec@1 4.297 (2.949) Prec@5 10.156 (10.128)
Epoch: [1][1820/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.5589 (5.7851) Prec@1 4.688 (2.955) Prec@5 13.281 (10.152)
Epoch: [1][1830/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.3809 (5.7839) Prec@1 6.641 (2.967) Prec@5 16.016 (10.171)
Epoch: [1][1840/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 5.5219 (5.7826) Prec@1 5.078 (2.974) Prec@5 16.016 (10.192)
Epoch: [1][1850/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.5427 (5.7818) Prec@1 3.125 (2.979) Prec@5 13.672 (10.208)
Epoch: [1][1860/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 5.4579 (5.7806) Prec@1 3.125 (2.985) Prec@5 17.578 (10.230)
Epoch: [1][1870/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 5.5299 (5.7789) Prec@1 1.953 (2.995) Prec@5 14.062 (10.255)
Epoch: [1][1880/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 5.4865 (5.7771) Prec@1 5.469 (3.007) Prec@5 16.406 (10.289)
Epoch: [1][1890/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 5.7194 (5.7760) Prec@1 2.344 (3.011) Prec@5 10.547 (10.308)
Epoch: [1][1900/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 5.3985 (5.7746) Prec@1 4.297 (3.017) Prec@5 18.359 (10.327)
Epoch: [1][1910/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 5.6924 (5.7733) Prec@1 2.344 (3.024) Prec@5 9.375 (10.346)
Epoch: [1][1920/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 5.4585 (5.7720) Prec@1 5.078 (3.030) Prec@5 17.969 (10.368)
Epoch: [1][1930/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.3978 (5.7707) Prec@1 5.469 (3.037) Prec@5 19.531 (10.393)
Epoch: [1][1940/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 5.5626 (5.7695) Prec@1 3.516 (3.043) Prec@5 12.500 (10.413)
Epoch: [1][1950/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 5.4361 (5.7684) Prec@1 5.469 (3.049) Prec@5 18.359 (10.431)
Epoch: [1][1960/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.4678 (5.7675) Prec@1 5.859 (3.054) Prec@5 14.844 (10.445)
Epoch: [1][1970/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 5.3386 (5.7663) Prec@1 5.469 (3.060) Prec@5 17.578 (10.462)
Epoch: [1][1980/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 5.4983 (5.7653) Prec@1 3.906 (3.066) Prec@5 16.016 (10.475)
Epoch: [1][1990/5005] Time 0.619 (0.616) Data 0.001 (0.003) Loss 5.3437 (5.7642) Prec@1 6.250 (3.073) Prec@5 17.188 (10.494)
Epoch: [1][2000/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 5.5104 (5.7629) Prec@1 5.078 (3.080) Prec@5 14.062 (10.514)
Epoch: [1][2010/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.7211 (5.7619) Prec@1 3.125 (3.086) Prec@5 10.156 (10.532)
Epoch: [1][2020/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 5.5608 (5.7608) Prec@1 2.344 (3.092) Prec@5 13.281 (10.550)
Epoch: [1][2030/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 5.5118 (5.7594) Prec@1 4.688 (3.099) Prec@5 13.672 (10.568)
Epoch: [1][2040/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 5.4283 (5.7579) Prec@1 5.859 (3.105) Prec@5 14.844 (10.584)
Epoch: [1][2050/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.6019 (5.7570) Prec@1 4.688 (3.112) Prec@5 12.891 (10.603)
Epoch: [1][2060/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 5.3688 (5.7555) Prec@1 7.422 (3.123) Prec@5 14.062 (10.626)
Epoch: [1][2070/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 5.5680 (5.7544) Prec@1 6.250 (3.131) Prec@5 14.453 (10.643)
Epoch: [1][2080/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.4290 (5.7530) Prec@1 5.469 (3.135) Prec@5 16.406 (10.663)
Epoch: [1][2090/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.6450 (5.7514) Prec@1 4.297 (3.146) Prec@5 13.281 (10.684)
Epoch: [1][2100/5005] Time 0.603 (0.616) Data 0.000 (0.003) Loss 5.5216 (5.7501) Prec@1 5.078 (3.153) Prec@5 16.016 (10.702)
Epoch: [1][2110/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.5914 (5.7489) Prec@1 3.125 (3.163) Prec@5 12.500 (10.718)
Epoch: [1][2120/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 5.5295 (5.7481) Prec@1 3.125 (3.168) Prec@5 12.891 (10.727)
Epoch: [1][2130/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 5.5440 (5.7468) Prec@1 3.906 (3.176) Prec@5 12.109 (10.745)
Epoch: [1][2140/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 5.5330 (5.7458) Prec@1 4.297 (3.183) Prec@5 14.844 (10.761)
Epoch: [1][2150/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 5.6118 (5.7446) Prec@1 4.688 (3.191) Prec@5 13.281 (10.778)
Epoch: [1][2160/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 5.5515 (5.7433) Prec@1 5.469 (3.197) Prec@5 14.062 (10.798)
Epoch: [1][2170/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 5.4420 (5.7420) Prec@1 5.859 (3.199) Prec@5 15.625 (10.817)
Epoch: [1][2180/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 5.6495 (5.7409) Prec@1 3.906 (3.206) Prec@5 10.938 (10.834)
Epoch: [1][2190/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 5.6195 (5.7399) Prec@1 3.516 (3.213) Prec@5 13.672 (10.847)
Epoch: [1][2200/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 5.4181 (5.7385) Prec@1 5.469 (3.218) Prec@5 14.453 (10.867)
Epoch: [1][2210/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 5.3818 (5.7372) Prec@1 5.469 (3.226) Prec@5 16.016 (10.889)
Epoch: [1][2220/5005] Time 0.622 (0.615) Data 0.000 (0.003) Loss 5.5090 (5.7360) Prec@1 3.125 (3.237) Prec@5 14.062 (10.913)
Epoch: [1][2230/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 5.5198 (5.7346) Prec@1 4.297 (3.245) Prec@5 14.062 (10.932)
Epoch: [1][2240/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 5.4458 (5.7336) Prec@1 3.516 (3.251) Prec@5 14.062 (10.949)
Epoch: [1][2250/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.4027 (5.7323) Prec@1 7.422 (3.260) Prec@5 16.797 (10.970)
Epoch: [1][2260/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.4860 (5.7314) Prec@1 5.078 (3.265) Prec@5 12.891 (10.985)
Epoch: [1][2270/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.4240 (5.7300) Prec@1 3.516 (3.273) Prec@5 15.625 (11.005)
Epoch: [1][2280/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.4896 (5.7285) Prec@1 4.297 (3.281) Prec@5 12.109 (11.025)
Epoch: [1][2290/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 5.5300 (5.7270) Prec@1 5.469 (3.290) Prec@5 15.234 (11.050)
Epoch: [1][2300/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.3986 (5.7261) Prec@1 5.859 (3.296) Prec@5 16.406 (11.062)
Epoch: [1][2310/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.5341 (5.7248) Prec@1 2.734 (3.300) Prec@5 15.625 (11.079)
Epoch: [1][2320/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.2476 (5.7236) Prec@1 7.422 (3.306) Prec@5 18.359 (11.096)
Epoch: [1][2330/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.4335 (5.7224) Prec@1 4.688 (3.312) Prec@5 16.016 (11.115)
Epoch: [1][2340/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 5.4126 (5.7211) Prec@1 5.078 (3.320) Prec@5 16.406 (11.133)
Epoch: [1][2350/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.5388 (5.7196) Prec@1 2.734 (3.328) Prec@5 11.719 (11.151)
Epoch: [1][2360/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.4545 (5.7184) Prec@1 4.688 (3.335) Prec@5 13.281 (11.167)
Epoch: [1][2370/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 5.3273 (5.7173) Prec@1 6.250 (3.341) Prec@5 17.969 (11.185)
Epoch: [1][2380/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2562 (5.7159) Prec@1 5.859 (3.348) Prec@5 21.094 (11.207)
Epoch: [1][2390/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.4643 (5.7149) Prec@1 3.125 (3.352) Prec@5 14.453 (11.219)
Epoch: [1][2400/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.5451 (5.7141) Prec@1 3.906 (3.356) Prec@5 14.844 (11.236)
Epoch: [1][2410/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.3450 (5.7130) Prec@1 6.641 (3.362) Prec@5 18.359 (11.251)
Epoch: [1][2420/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2358 (5.7117) Prec@1 8.984 (3.370) Prec@5 19.141 (11.272)
Epoch: [1][2430/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.3388 (5.7104) Prec@1 5.078 (3.377) Prec@5 13.672 (11.290)
Epoch: [1][2440/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.3658 (5.7091) Prec@1 7.812 (3.386) Prec@5 16.406 (11.308)
Epoch: [1][2450/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.5130 (5.7077) Prec@1 3.906 (3.394) Prec@5 14.062 (11.331)
Epoch: [1][2460/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.4365 (5.7064) Prec@1 5.078 (3.402) Prec@5 14.062 (11.351)
Epoch: [1][2470/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.5375 (5.7050) Prec@1 4.688 (3.411) Prec@5 16.016 (11.373)
Epoch: [1][2480/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.4291 (5.7037) Prec@1 5.469 (3.421) Prec@5 17.969 (11.396)
Epoch: [1][2490/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.5378 (5.7023) Prec@1 3.906 (3.429) Prec@5 16.797 (11.421)
Epoch: [1][2500/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.2452 (5.7010) Prec@1 6.641 (3.435) Prec@5 19.141 (11.439)
Epoch: [1][2510/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.6054 (5.6996) Prec@1 3.906 (3.443) Prec@5 13.281 (11.459)
Epoch: [1][2520/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.3615 (5.6984) Prec@1 5.078 (3.454) Prec@5 16.797 (11.484)
Epoch: [1][2530/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.2936 (5.6972) Prec@1 5.469 (3.461) Prec@5 16.016 (11.499)
Epoch: [1][2540/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.4058 (5.6960) Prec@1 6.250 (3.471) Prec@5 13.281 (11.519)
Epoch: [1][2550/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.3652 (5.6949) Prec@1 7.812 (3.478) Prec@5 19.141 (11.536)
Epoch: [1][2560/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 5.4013 (5.6939) Prec@1 4.297 (3.483) Prec@5 14.062 (11.554)
Epoch: [1][2570/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 5.4133 (5.6927) Prec@1 7.812 (3.492) Prec@5 17.578 (11.574)
Epoch: [1][2580/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.2769 (5.6913) Prec@1 6.250 (3.501) Prec@5 19.531 (11.595)
Epoch: [1][2590/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.3123 (5.6899) Prec@1 4.297 (3.509) Prec@5 18.359 (11.621)
Epoch: [1][2600/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.4156 (5.6886) Prec@1 3.125 (3.515) Prec@5 13.281 (11.638)
Epoch: [1][2610/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.5415 (5.6874) Prec@1 3.125 (3.523) Prec@5 15.234 (11.659)
Epoch: [1][2620/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.2608 (5.6863) Prec@1 7.422 (3.529) Prec@5 17.188 (11.677)
Epoch: [1][2630/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3086 (5.6851) Prec@1 5.859 (3.536) Prec@5 20.703 (11.694)
Epoch: [1][2640/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.1331 (5.6841) Prec@1 8.594 (3.542) Prec@5 19.922 (11.710)
Epoch: [1][2650/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.3720 (5.6828) Prec@1 5.469 (3.549) Prec@5 14.844 (11.726)
Epoch: [1][2660/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2312 (5.6819) Prec@1 7.812 (3.557) Prec@5 17.969 (11.738)
Epoch: [1][2670/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.3337 (5.6806) Prec@1 5.469 (3.565) Prec@5 19.922 (11.759)
Epoch: [1][2680/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.3560 (5.6793) Prec@1 4.688 (3.571) Prec@5 12.109 (11.775)
Epoch: [1][2690/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.3451 (5.6780) Prec@1 6.250 (3.579) Prec@5 17.969 (11.798)
Epoch: [1][2700/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.4647 (5.6766) Prec@1 5.078 (3.588) Prec@5 13.672 (11.816)
Epoch: [1][2710/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.3124 (5.6754) Prec@1 6.250 (3.594) Prec@5 15.234 (11.833)
Epoch: [1][2720/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3480 (5.6741) Prec@1 5.078 (3.601) Prec@5 17.578 (11.851)
Epoch: [1][2730/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.3197 (5.6729) Prec@1 4.688 (3.607) Prec@5 15.625 (11.868)
Epoch: [1][2740/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 5.3669 (5.6717) Prec@1 6.250 (3.613) Prec@5 16.406 (11.884)
Epoch: [1][2750/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.2858 (5.6704) Prec@1 7.031 (3.620) Prec@5 17.578 (11.905)
Epoch: [1][2760/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2322 (5.6690) Prec@1 5.859 (3.627) Prec@5 17.969 (11.927)
Epoch: [1][2770/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2189 (5.6680) Prec@1 5.469 (3.633) Prec@5 17.578 (11.942)
Epoch: [1][2780/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 5.3869 (5.6669) Prec@1 4.688 (3.638) Prec@5 14.062 (11.960)
Epoch: [1][2790/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.2839 (5.6658) Prec@1 4.688 (3.643) Prec@5 19.531 (11.976)
Epoch: [1][2800/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.3531 (5.6645) Prec@1 6.641 (3.655) Prec@5 16.797 (11.996)
Epoch: [1][2810/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3089 (5.6633) Prec@1 6.250 (3.660) Prec@5 15.625 (12.013)
Epoch: [1][2820/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2813 (5.6621) Prec@1 7.422 (3.670) Prec@5 17.578 (12.034)
Epoch: [1][2830/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2944 (5.6609) Prec@1 5.469 (3.677) Prec@5 17.578 (12.052)
Epoch: [1][2840/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.3021 (5.6597) Prec@1 7.422 (3.683) Prec@5 16.797 (12.066)
Epoch: [1][2850/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.3123 (5.6584) Prec@1 3.516 (3.687) Prec@5 17.188 (12.081)
Epoch: [1][2860/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2567 (5.6573) Prec@1 5.469 (3.695) Prec@5 14.844 (12.094)
Epoch: [1][2870/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.3060 (5.6561) Prec@1 6.250 (3.701) Prec@5 19.141 (12.112)
Epoch: [1][2880/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 5.1790 (5.6547) Prec@1 6.641 (3.707) Prec@5 19.922 (12.129)
Epoch: [1][2890/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2653 (5.6534) Prec@1 8.203 (3.714) Prec@5 17.969 (12.148)
Epoch: [1][2900/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.2013 (5.6522) Prec@1 7.422 (3.720) Prec@5 19.531 (12.164)
Epoch: [1][2910/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.2666 (5.6507) Prec@1 5.859 (3.729) Prec@5 18.750 (12.184)
Epoch: [1][2920/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 5.5963 (5.6498) Prec@1 2.734 (3.733) Prec@5 15.625 (12.197)
Epoch: [1][2930/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 5.3645 (5.6486) Prec@1 6.641 (3.741) Prec@5 17.188 (12.217)
Epoch: [1][2940/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2473 (5.6474) Prec@1 7.422 (3.748) Prec@5 19.141 (12.236)
Epoch: [1][2950/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.3966 (5.6462) Prec@1 6.250 (3.755) Prec@5 17.188 (12.252)
Epoch: [1][2960/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.3533 (5.6449) Prec@1 5.469 (3.764) Prec@5 18.359 (12.273)
Epoch: [1][2970/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.1107 (5.6435) Prec@1 8.203 (3.772) Prec@5 21.094 (12.296)
Epoch: [1][2980/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2444 (5.6424) Prec@1 5.859 (3.778) Prec@5 19.922 (12.313)
Epoch: [1][2990/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2844 (5.6413) Prec@1 4.688 (3.785) Prec@5 19.141 (12.327)
Epoch: [1][3000/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 5.3487 (5.6401) Prec@1 5.469 (3.791) Prec@5 15.625 (12.348)
Epoch: [1][3010/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2664 (5.6390) Prec@1 5.859 (3.797) Prec@5 20.703 (12.367)
Epoch: [1][3020/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2683 (5.6379) Prec@1 7.422 (3.804) Prec@5 19.922 (12.386)
Epoch: [1][3030/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.3101 (5.6365) Prec@1 5.469 (3.812) Prec@5 16.406 (12.407)
Epoch: [1][3040/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.3378 (5.6352) Prec@1 3.906 (3.816) Prec@5 16.797 (12.424)
Epoch: [1][3050/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.3343 (5.6341) Prec@1 4.688 (3.822) Prec@5 18.359 (12.441)
Epoch: [1][3060/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.2973 (5.6330) Prec@1 6.250 (3.828) Prec@5 16.797 (12.458)
Epoch: [1][3070/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 5.4174 (5.6319) Prec@1 5.469 (3.836) Prec@5 15.234 (12.475)
Epoch: [1][3080/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 5.0607 (5.6309) Prec@1 8.984 (3.843) Prec@5 22.266 (12.492)
Epoch: [1][3090/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.2444 (5.6297) Prec@1 6.250 (3.848) Prec@5 20.703 (12.512)
Epoch: [1][3100/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.1425 (5.6285) Prec@1 4.688 (3.854) Prec@5 20.312 (12.529)
Epoch: [1][3110/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.2754 (5.6275) Prec@1 6.641 (3.861) Prec@5 18.359 (12.545)
Epoch: [1][3120/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2747 (5.6264) Prec@1 6.250 (3.868) Prec@5 15.625 (12.562)
Epoch: [1][3130/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3453 (5.6254) Prec@1 3.516 (3.872) Prec@5 14.062 (12.576)
Epoch: [1][3140/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.1426 (5.6244) Prec@1 8.984 (3.882) Prec@5 20.703 (12.594)
Epoch: [1][3150/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.2724 (5.6233) Prec@1 5.078 (3.887) Prec@5 14.062 (12.605)
Epoch: [1][3160/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.3249 (5.6222) Prec@1 3.516 (3.895) Prec@5 17.188 (12.624)
Epoch: [1][3170/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.2414 (5.6210) Prec@1 6.250 (3.901) Prec@5 20.703 (12.642)
Epoch: [1][3180/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.2153 (5.6199) Prec@1 5.469 (3.908) Prec@5 16.406 (12.656)
Epoch: [1][3190/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2685 (5.6189) Prec@1 3.906 (3.913) Prec@5 17.188 (12.670)
Epoch: [1][3200/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.3037 (5.6178) Prec@1 4.297 (3.919) Prec@5 18.750 (12.687)
Epoch: [1][3210/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3020 (5.6168) Prec@1 7.812 (3.925) Prec@5 19.531 (12.701)
Epoch: [1][3220/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.3503 (5.6162) Prec@1 6.641 (3.931) Prec@5 19.922 (12.714)
Epoch: [1][3230/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.2490 (5.6149) Prec@1 9.766 (3.939) Prec@5 18.750 (12.734)
Epoch: [1][3240/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2019 (5.6136) Prec@1 8.594 (3.948) Prec@5 19.922 (12.755)
Epoch: [1][3250/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.3769 (5.6127) Prec@1 6.250 (3.956) Prec@5 17.578 (12.773)
Epoch: [1][3260/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.2315 (5.6116) Prec@1 4.688 (3.962) Prec@5 19.922 (12.790)
Epoch: [1][3270/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.0259 (5.6106) Prec@1 6.641 (3.969) Prec@5 24.219 (12.809)
Epoch: [1][3280/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.1721 (5.6093) Prec@1 6.641 (3.978) Prec@5 21.484 (12.832)
Epoch: [1][3290/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2752 (5.6082) Prec@1 7.422 (3.987) Prec@5 19.141 (12.852)
Epoch: [1][3300/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.2168 (5.6068) Prec@1 5.469 (3.997) Prec@5 16.406 (12.871)
Epoch: [1][3310/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.2399 (5.6057) Prec@1 7.422 (4.004) Prec@5 17.188 (12.889)
Epoch: [1][3320/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.2396 (5.6046) Prec@1 5.859 (4.011) Prec@5 17.969 (12.905)
Epoch: [1][3330/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.0325 (5.6034) Prec@1 8.594 (4.020) Prec@5 23.438 (12.922)
Epoch: [1][3340/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.9964 (5.6021) Prec@1 9.375 (4.028) Prec@5 22.656 (12.942)
Epoch: [1][3350/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2661 (5.6013) Prec@1 5.078 (4.033) Prec@5 14.062 (12.954)
Epoch: [1][3360/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2035 (5.6000) Prec@1 4.297 (4.041) Prec@5 19.922 (12.973)
Epoch: [1][3370/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.3286 (5.5988) Prec@1 7.812 (4.048) Prec@5 21.484 (12.991)
Epoch: [1][3380/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.1809 (5.5981) Prec@1 7.812 (4.055) Prec@5 18.359 (13.004)
Epoch: [1][3390/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 5.2874 (5.5969) Prec@1 6.641 (4.065) Prec@5 18.359 (13.024)
Epoch: [1][3400/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2542 (5.5959) Prec@1 7.031 (4.073) Prec@5 19.141 (13.039)
Epoch: [1][3410/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.0843 (5.5946) Prec@1 7.422 (4.081) Prec@5 21.094 (13.059)
Epoch: [1][3420/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2607 (5.5933) Prec@1 7.812 (4.090) Prec@5 20.312 (13.080)
Epoch: [1][3430/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.1611 (5.5924) Prec@1 8.984 (4.098) Prec@5 17.578 (13.096)
Epoch: [1][3440/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.3212 (5.5915) Prec@1 5.078 (4.103) Prec@5 18.359 (13.109)
Epoch: [1][3450/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.1781 (5.5905) Prec@1 6.250 (4.110) Prec@5 17.969 (13.124)
Epoch: [1][3460/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.0750 (5.5893) Prec@1 7.812 (4.121) Prec@5 24.219 (13.146)
Epoch: [1][3470/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0646 (5.5883) Prec@1 8.203 (4.124) Prec@5 23.047 (13.163)
Epoch: [1][3480/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.0879 (5.5875) Prec@1 7.422 (4.130) Prec@5 25.000 (13.178)
Epoch: [1][3490/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 5.2036 (5.5864) Prec@1 4.688 (4.137) Prec@5 16.406 (13.195)
Epoch: [1][3500/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2521 (5.5854) Prec@1 7.422 (4.143) Prec@5 17.969 (13.213)
Epoch: [1][3510/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.2444 (5.5842) Prec@1 3.906 (4.150) Prec@5 16.016 (13.231)
Epoch: [1][3520/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 5.3764 (5.5831) Prec@1 4.297 (4.157) Prec@5 16.406 (13.249)
Epoch: [1][3530/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.1679 (5.5819) Prec@1 7.812 (4.167) Prec@5 21.484 (13.270)
Epoch: [1][3540/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2852 (5.5808) Prec@1 7.812 (4.173) Prec@5 21.484 (13.287)
Epoch: [1][3550/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.1569 (5.5798) Prec@1 7.812 (4.181) Prec@5 18.359 (13.301)
Epoch: [1][3560/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.1653 (5.5787) Prec@1 6.250 (4.186) Prec@5 18.750 (13.315)
Epoch: [1][3570/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.1312 (5.5776) Prec@1 8.203 (4.194) Prec@5 19.141 (13.334)
Epoch: [1][3580/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.1422 (5.5766) Prec@1 7.812 (4.201) Prec@5 19.141 (13.348)
Epoch: [1][3590/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.1658 (5.5756) Prec@1 6.250 (4.208) Prec@5 19.531 (13.363)
Epoch: [1][3600/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 5.2719 (5.5745) Prec@1 8.203 (4.216) Prec@5 18.750 (13.383)
Epoch: [1][3610/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.2187 (5.5736) Prec@1 7.031 (4.221) Prec@5 19.531 (13.397)
Epoch: [1][3620/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.1829 (5.5724) Prec@1 8.594 (4.231) Prec@5 23.438 (13.418)
Epoch: [1][3630/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.9796 (5.5712) Prec@1 9.375 (4.238) Prec@5 25.391 (13.440)
Epoch: [1][3640/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 5.1518 (5.5700) Prec@1 7.031 (4.244) Prec@5 21.094 (13.460)
Epoch: [1][3650/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.1755 (5.5690) Prec@1 8.203 (4.252) Prec@5 21.094 (13.478)
Epoch: [1][3660/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.0312 (5.5679) Prec@1 5.859 (4.259) Prec@5 22.266 (13.495)
Epoch: [1][3670/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 5.3730 (5.5670) Prec@1 5.469 (4.266) Prec@5 17.188 (13.509)
Epoch: [1][3680/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.1999 (5.5660) Prec@1 6.250 (4.274) Prec@5 19.531 (13.526)
Epoch: [1][3690/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.4034 (5.5651) Prec@1 3.125 (4.278) Prec@5 16.406 (13.540)
Epoch: [1][3700/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.1664 (5.5641) Prec@1 5.859 (4.283) Prec@5 22.266 (13.554)
Epoch: [1][3710/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.1369 (5.5633) Prec@1 9.375 (4.291) Prec@5 17.578 (13.566)
Epoch: [1][3720/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.2834 (5.5623) Prec@1 3.906 (4.298) Prec@5 16.797 (13.582)
Epoch: [1][3730/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.0450 (5.5614) Prec@1 6.641 (4.305) Prec@5 21.094 (13.595)
Epoch: [1][3740/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.2029 (5.5603) Prec@1 7.422 (4.313) Prec@5 19.141 (13.615)
Epoch: [1][3750/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.1334 (5.5593) Prec@1 6.641 (4.319) Prec@5 22.266 (13.630)
Epoch: [1][3760/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.0297 (5.5582) Prec@1 8.594 (4.328) Prec@5 19.531 (13.649)
Epoch: [1][3770/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 5.3271 (5.5572) Prec@1 5.859 (4.334) Prec@5 18.359 (13.664)
Epoch: [1][3780/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.1488 (5.5561) Prec@1 3.516 (4.343) Prec@5 16.406 (13.680)
Epoch: [1][3790/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 5.1513 (5.5551) Prec@1 8.984 (4.348) Prec@5 20.312 (13.697)
Epoch: [1][3800/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.2452 (5.5542) Prec@1 6.250 (4.355) Prec@5 19.531 (13.712)
Epoch: [1][3810/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.2238 (5.5531) Prec@1 8.984 (4.361) Prec@5 17.578 (13.728)
Epoch: [1][3820/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.9318 (5.5520) Prec@1 9.375 (4.368) Prec@5 24.219 (13.746)
Epoch: [1][3830/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 5.2140 (5.5509) Prec@1 5.078 (4.375) Prec@5 20.312 (13.764)
Epoch: [1][3840/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.2216 (5.5499) Prec@1 5.078 (4.380) Prec@5 19.141 (13.780)
Epoch: [1][3850/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.0167 (5.5490) Prec@1 9.766 (4.385) Prec@5 18.750 (13.793)
Epoch: [1][3860/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 5.0476 (5.5480) Prec@1 7.812 (4.391) Prec@5 17.578 (13.805)
Epoch: [1][3870/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.1618 (5.5468) Prec@1 9.375 (4.398) Prec@5 21.875 (13.821)
Epoch: [1][3880/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.0995 (5.5459) Prec@1 7.422 (4.403) Prec@5 21.875 (13.835)
Epoch: [1][3890/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.0356 (5.5449) Prec@1 9.766 (4.411) Prec@5 22.656 (13.854)
Epoch: [1][3900/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.2202 (5.5440) Prec@1 4.297 (4.416) Prec@5 17.188 (13.868)
Epoch: [1][3910/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.3408 (5.5430) Prec@1 8.203 (4.422) Prec@5 15.625 (13.885)
Epoch: [1][3920/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.2195 (5.5420) Prec@1 5.078 (4.428) Prec@5 18.750 (13.903)
Epoch: [1][3930/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 5.0964 (5.5409) Prec@1 6.250 (4.438) Prec@5 20.312 (13.922)
Epoch: [1][3940/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.0919 (5.5398) Prec@1 5.469 (4.444) Prec@5 21.875 (13.940)
Epoch: [1][3950/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.0288 (5.5388) Prec@1 8.984 (4.449) Prec@5 23.047 (13.956)
Epoch: [1][3960/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.9453 (5.5376) Prec@1 10.547 (4.460) Prec@5 23.828 (13.976)
Epoch: [1][3970/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.9718 (5.5366) Prec@1 8.203 (4.468) Prec@5 21.484 (13.991)
Epoch: [1][3980/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.0611 (5.5353) Prec@1 11.719 (4.477) Prec@5 23.438 (14.012)
Epoch: [1][3990/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.9114 (5.5341) Prec@1 9.766 (4.486) Prec@5 22.656 (14.035)
Epoch: [1][4000/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.3651 (5.5332) Prec@1 6.250 (4.492) Prec@5 17.188 (14.048)
Epoch: [1][4010/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.9685 (5.5323) Prec@1 5.078 (4.497) Prec@5 18.750 (14.061)
Epoch: [1][4020/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.1144 (5.5313) Prec@1 6.250 (4.503) Prec@5 19.531 (14.074)
Epoch: [1][4030/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.0418 (5.5302) Prec@1 9.375 (4.512) Prec@5 23.047 (14.093)
Epoch: [1][4040/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0400 (5.5290) Prec@1 8.984 (4.518) Prec@5 19.531 (14.110)
Epoch: [1][4050/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.8967 (5.5278) Prec@1 10.547 (4.527) Prec@5 25.391 (14.131)
Epoch: [1][4060/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 5.1819 (5.5268) Prec@1 6.641 (4.535) Prec@5 22.266 (14.147)
Epoch: [1][4070/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0947 (5.5257) Prec@1 6.641 (4.543) Prec@5 19.531 (14.166)
Epoch: [1][4080/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 5.1769 (5.5247) Prec@1 8.203 (4.551) Prec@5 21.484 (14.184)
Epoch: [1][4090/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 5.0679 (5.5236) Prec@1 9.375 (4.561) Prec@5 20.312 (14.203)
Epoch: [1][4100/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.2606 (5.5227) Prec@1 4.297 (4.568) Prec@5 19.141 (14.215)
Epoch: [1][4110/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0682 (5.5216) Prec@1 7.031 (4.574) Prec@5 23.047 (14.231)
Epoch: [1][4120/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.9436 (5.5206) Prec@1 7.422 (4.583) Prec@5 23.047 (14.248)
Epoch: [1][4130/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 5.2544 (5.5196) Prec@1 3.516 (4.591) Prec@5 16.406 (14.265)
Epoch: [1][4140/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.9443 (5.5186) Prec@1 11.719 (4.598) Prec@5 28.906 (14.283)
Epoch: [1][4150/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.1496 (5.5177) Prec@1 8.203 (4.605) Prec@5 21.875 (14.300)
Epoch: [1][4160/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.0330 (5.5167) Prec@1 9.766 (4.614) Prec@5 19.922 (14.318)
Epoch: [1][4170/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.0002 (5.5156) Prec@1 6.250 (4.620) Prec@5 17.188 (14.332)
Epoch: [1][4180/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.1549 (5.5147) Prec@1 5.469 (4.625) Prec@5 19.922 (14.349)
Epoch: [1][4190/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 4.9250 (5.5138) Prec@1 9.766 (4.633) Prec@5 22.656 (14.361)
Epoch: [1][4200/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.1214 (5.5130) Prec@1 7.422 (4.641) Prec@5 26.172 (14.377)
Epoch: [1][4210/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 5.0907 (5.5121) Prec@1 7.031 (4.648) Prec@5 17.578 (14.394)
Epoch: [1][4220/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.1443 (5.5110) Prec@1 8.594 (4.654) Prec@5 23.828 (14.411)
Epoch: [1][4230/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.0039 (5.5100) Prec@1 7.812 (4.661) Prec@5 22.656 (14.429)
Epoch: [1][4240/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 5.1272 (5.5091) Prec@1 10.938 (4.670) Prec@5 19.922 (14.445)
Epoch: [1][4250/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 5.0220 (5.5080) Prec@1 10.938 (4.677) Prec@5 26.953 (14.461)
Epoch: [1][4260/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 5.1559 (5.5071) Prec@1 6.641 (4.684) Prec@5 17.578 (14.476)
Epoch: [1][4270/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 5.1688 (5.5061) Prec@1 7.031 (4.691) Prec@5 22.656 (14.493)
Epoch: [1][4280/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 5.0472 (5.5050) Prec@1 7.031 (4.700) Prec@5 20.703 (14.510)
Epoch: [1][4290/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.9837 (5.5039) Prec@1 8.984 (4.707) Prec@5 24.219 (14.526)
Epoch: [1][4300/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 4.9210 (5.5028) Prec@1 7.812 (4.714) Prec@5 23.438 (14.541)
Epoch: [1][4310/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 5.0397 (5.5016) Prec@1 7.031 (4.723) Prec@5 18.359 (14.560)
Epoch: [1][4320/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 5.0144 (5.5006) Prec@1 8.594 (4.729) Prec@5 26.562 (14.577)
Epoch: [1][4330/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 5.0595 (5.4996) Prec@1 7.422 (4.736) Prec@5 19.922 (14.597)
Epoch: [1][4340/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0166 (5.4986) Prec@1 8.594 (4.744) Prec@5 21.484 (14.617)
Epoch: [1][4350/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 5.0479 (5.4977) Prec@1 8.203 (4.750) Prec@5 22.266 (14.632)
Epoch: [1][4360/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.9706 (5.4966) Prec@1 8.203 (4.758) Prec@5 23.438 (14.651)
Epoch: [1][4370/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 5.2480 (5.4958) Prec@1 5.469 (4.762) Prec@5 18.750 (14.663)
Epoch: [1][4380/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.9371 (5.4947) Prec@1 7.812 (4.772) Prec@5 21.094 (14.681)
Epoch: [1][4390/5005] Time 0.619 (0.615) Data 0.000 (0.001) Loss 4.9740 (5.4936) Prec@1 8.984 (4.779) Prec@5 21.094 (14.697)
Epoch: [1][4400/5005] Time 0.622 (0.615) Data 0.000 (0.001) Loss 4.9756 (5.4925) Prec@1 8.594 (4.786) Prec@5 22.266 (14.715)
Epoch: [1][4410/5005] Time 0.611 (0.615) Data 0.000 (0.001) Loss 5.0075 (5.4914) Prec@1 8.594 (4.793) Prec@5 24.609 (14.735)
Epoch: [1][4420/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 5.2174 (5.4903) Prec@1 8.203 (4.801) Prec@5 21.484 (14.755)
Epoch: [1][4430/5005] Time 0.617 (0.615) Data 0.000 (0.001) Loss 5.2227 (5.4894) Prec@1 7.031 (4.807) Prec@5 21.094 (14.771)
Epoch: [1][4440/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 4.9179 (5.4885) Prec@1 8.203 (4.814) Prec@5 22.266 (14.788)
Epoch: [1][4450/5005] Time 0.616 (0.615) Data 0.000 (0.001) Loss 4.8649 (5.4874) Prec@1 7.422 (4.822) Prec@5 22.266 (14.807)
Epoch: [1][4460/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 4.9703 (5.4864) Prec@1 8.594 (4.828) Prec@5 21.875 (14.822)
Epoch: [1][4470/5005] Time 0.619 (0.615) Data 0.000 (0.001) Loss 4.9352 (5.4853) Prec@1 9.375 (4.837) Prec@5 23.047 (14.842)
Epoch: [1][4480/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 4.9529 (5.4843) Prec@1 7.031 (4.843) Prec@5 26.562 (14.858)
Epoch: [1][4490/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 5.1906 (5.4834) Prec@1 5.469 (4.850) Prec@5 19.922 (14.874)
Epoch: [1][4500/5005] Time 0.611 (0.615) Data 0.000 (0.001) Loss 5.0978 (5.4826) Prec@1 7.812 (4.856) Prec@5 22.266 (14.891)
Epoch: [1][4510/5005] Time 0.613 (0.615) Data 0.000 (0.001) Loss 4.9812 (5.4815) Prec@1 8.203 (4.863) Prec@5 25.781 (14.909)
Epoch: [1][4520/5005] Time 0.608 (0.615) Data 0.000 (0.001) Loss 4.9942 (5.4805) Prec@1 5.469 (4.871) Prec@5 20.703 (14.925)
Epoch: [1][4530/5005] Time 0.616 (0.615) Data 0.000 (0.001) Loss 5.0593 (5.4796) Prec@1 8.594 (4.878) Prec@5 21.484 (14.940)
Epoch: [1][4540/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 4.9037 (5.4785) Prec@1 8.594 (4.887) Prec@5 25.000 (14.960)
Epoch: [1][4550/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 5.0030 (5.4774) Prec@1 5.078 (4.894) Prec@5 22.656 (14.979)
Epoch: [1][4560/5005] Time 0.619 (0.615) Data 0.000 (0.001) Loss 5.0342 (5.4764) Prec@1 8.594 (4.902) Prec@5 23.438 (14.998)
Epoch: [1][4570/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 4.9567 (5.4754) Prec@1 9.766 (4.910) Prec@5 25.781 (15.017)
Epoch: [1][4580/5005] Time 0.626 (0.615) Data 0.000 (0.001) Loss 4.9974 (5.4744) Prec@1 8.594 (4.919) Prec@5 27.344 (15.033)
Epoch: [1][4590/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 5.0535 (5.4735) Prec@1 7.031 (4.925) Prec@5 22.656 (15.051)
Epoch: [1][4600/5005] Time 0.613 (0.615) Data 0.000 (0.001) Loss 4.8932 (5.4725) Prec@1 9.766 (4.932) Prec@5 23.438 (15.069)
Epoch: [1][4610/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 4.8596 (5.4715) Prec@1 7.812 (4.939) Prec@5 23.828 (15.085)
Epoch: [1][4620/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 5.0546 (5.4705) Prec@1 9.766 (4.946) Prec@5 23.438 (15.100)
Epoch: [1][4630/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 5.2363 (5.4696) Prec@1 7.812 (4.955) Prec@5 23.047 (15.117)
Epoch: [1][4640/5005] Time 0.621 (0.615) Data 0.000 (0.001) Loss 5.2573 (5.4686) Prec@1 6.250 (4.964) Prec@5 21.875 (15.136)
Epoch: [1][4650/5005] Time 0.619 (0.615) Data 0.000 (0.001) Loss 5.0271 (5.4676) Prec@1 8.203 (4.972) Prec@5 24.219 (15.154)
Epoch: [1][4660/5005] Time 0.617 (0.615) Data 0.000 (0.001) Loss 4.9220 (5.4667) Prec@1 11.328 (4.979) Prec@5 26.562 (15.169)
Epoch: [1][4670/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 5.0358 (5.4655) Prec@1 7.031 (4.986) Prec@5 21.875 (15.189)
Epoch: [1][4680/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 4.8742 (5.4646) Prec@1 9.375 (4.994) Prec@5 23.828 (15.207)
Epoch: [1][4690/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 5.0864 (5.4638) Prec@1 6.250 (4.999) Prec@5 19.531 (15.222)
Epoch: [1][4700/5005] Time 0.611 (0.615) Data 0.000 (0.001) Loss 5.1030 (5.4630) Prec@1 5.469 (5.005) Prec@5 19.141 (15.237)
Epoch: [1][4710/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 5.0627 (5.4621) Prec@1 7.812 (5.011) Prec@5 22.656 (15.251)
Epoch: [1][4720/5005] Time 0.622 (0.615) Data 0.000 (0.001) Loss 4.9497 (5.4612) Prec@1 8.984 (5.017) Prec@5 21.484 (15.263)
Epoch: [1][4730/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 5.2418 (5.4603) Prec@1 7.031 (5.024) Prec@5 17.188 (15.279)
Epoch: [1][4740/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 5.0836 (5.4593) Prec@1 8.203 (5.031) Prec@5 19.922 (15.296)
Epoch: [1][4750/5005] Time 0.618 (0.615) Data 0.000 (0.001) Loss 5.1012 (5.4583) Prec@1 7.812 (5.038) Prec@5 21.875 (15.311)
Epoch: [1][4760/5005] Time 0.607 (0.615) Data 0.000 (0.001) Loss 4.9659 (5.4575) Prec@1 8.594 (5.043) Prec@5 23.047 (15.323)
Epoch: [1][4770/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 4.7837 (5.4564) Prec@1 11.328 (5.052) Prec@5 26.172 (15.341)
Epoch: [1][4780/5005] Time 0.606 (0.615) Data 0.000 (0.001) Loss 4.9531 (5.4553) Prec@1 8.594 (5.060) Prec@5 24.609 (15.360)
Epoch: [1][4790/5005] Time 0.612 (0.615) Data 0.000 (0.001) Loss 4.7411 (5.4543) Prec@1 9.375 (5.068) Prec@5 28.516 (15.378)
Epoch: [1][4800/5005] Time 0.613 (0.615) Data 0.000 (0.001) Loss 5.1056 (5.4533) Prec@1 7.812 (5.075) Prec@5 19.141 (15.395)
Epoch: [1][4810/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 5.2034 (5.4524) Prec@1 7.031 (5.082) Prec@5 20.312 (15.410)
Epoch: [1][4820/5005] Time 0.617 (0.615) Data 0.000 (0.001) Loss 5.1681 (5.4515) Prec@1 8.203 (5.089) Prec@5 21.875 (15.425)
Epoch: [1][4830/5005] Time 0.606 (0.615) Data 0.000 (0.001) Loss 5.1869 (5.4507) Prec@1 4.297 (5.094) Prec@5 19.922 (15.436)
Epoch: [1][4840/5005] Time 0.613 (0.615) Data 0.001 (0.001) Loss 4.7890 (5.4498) Prec@1 10.938 (5.100) Prec@5 25.000 (15.450)
Epoch: [1][4850/5005] Time 0.611 (0.615) Data 0.000 (0.001) Loss 4.8692 (5.4488) Prec@1 9.766 (5.107) Prec@5 26.562 (15.465)
Epoch: [1][4860/5005] Time 0.617 (0.615) Data 0.000 (0.001) Loss 5.0095 (5.4478) Prec@1 5.859 (5.115) Prec@5 19.922 (15.481)
Epoch: [1][4870/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 5.0749 (5.4470) Prec@1 9.375 (5.121) Prec@5 20.703 (15.494)
Epoch: [1][4880/5005] Time 0.610 (0.615) Data 0.000 (0.001) Loss 5.1695 (5.4462) Prec@1 7.031 (5.128) Prec@5 19.141 (15.507)
Epoch: [1][4890/5005] Time 0.614 (0.615) Data 0.000 (0.001) Loss 5.0892 (5.4453) Prec@1 8.984 (5.135) Prec@5 21.094 (15.523)
Epoch: [1][4900/5005] Time 0.613 (0.615) Data 0.000 (0.001) Loss 4.9023 (5.4442) Prec@1 10.547 (5.143) Prec@5 23.047 (15.540)
Epoch: [1][4910/5005] Time 0.619 (0.615) Data 0.000 (0.001) Loss 4.9389 (5.4432) Prec@1 10.156 (5.149) Prec@5 23.828 (15.557)
Epoch: [1][4920/5005] Time 0.613 (0.615) Data 0.001 (0.001) Loss 5.0996 (5.4424) Prec@1 5.859 (5.155) Prec@5 19.922 (15.571)
Epoch: [1][4930/5005] Time 0.615 (0.615) Data 0.000 (0.001) Loss 5.0652 (5.4415) Prec@1 9.766 (5.162) Prec@5 23.828 (15.587)
Epoch: [1][4940/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 4.6291 (5.4406) Prec@1 15.234 (5.170) Prec@5 30.859 (15.604)
Epoch: [1][4950/5005] Time 0.609 (0.615) Data 0.000 (0.001) Loss 5.1282 (5.4396) Prec@1 6.641 (5.177) Prec@5 20.703 (15.619)
Epoch: [1][4960/5005] Time 0.611 (0.615) Data 0.000 (0.001) Loss 4.8690 (5.4386) Prec@1 12.891 (5.185) Prec@5 28.125 (15.638)
Epoch: [1][4970/5005] Time 0.610 (0.615) Data 0.000 (0.001) Loss 4.9222 (5.4376) Prec@1 10.156 (5.193) Prec@5 26.172 (15.656)
Epoch: [1][4980/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 4.9485 (5.4366) Prec@1 8.984 (5.200) Prec@5 21.875 (15.673)
Epoch: [1][4990/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.9663 (5.4356) Prec@1 8.594 (5.207) Prec@5 23.438 (15.690)
Epoch: [1][5000/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 4.8991 (5.4345) Prec@1 7.812 (5.213) Prec@5 25.391 (15.707)
Test: [0/196] Time 5.092 (5.092) Loss 3.2442 (3.2442) Prec@1 26.172 (26.172) Prec@5 62.891 (62.891)
Test: [10/196] Time 0.203 (0.648) Loss 4.9151 (4.1713) Prec@1 5.078 (15.625) Prec@5 18.359 (37.749)
Test: [20/196] Time 0.202 (0.436) Loss 4.4558 (4.1994) Prec@1 17.578 (16.183) Prec@5 33.594 (37.072)
Test: [30/196] Time 0.204 (0.363) Loss 3.8195 (4.1145) Prec@1 17.578 (16.557) Prec@5 41.406 (38.634)
Test: [40/196] Time 0.202 (0.325) Loss 4.4728 (4.2120) Prec@1 1.953 (13.767) Prec@5 23.047 (34.813)
Test: [50/196] Time 0.202 (0.301) Loss 3.6112 (4.1861) Prec@1 23.828 (13.618) Prec@5 50.781 (34.949)
Test: [60/196] Time 0.202 (0.286) Loss 4.4953 (4.2080) Prec@1 4.688 (13.070) Prec@5 23.438 (34.241)
Test: [70/196] Time 0.202 (0.274) Loss 4.9779 (4.2456) Prec@1 3.516 (13.116) Prec@5 18.750 (33.654)
Test: [80/196] Time 0.201 (0.265) Loss 5.3427 (4.2617) Prec@1 5.469 (13.368) Prec@5 17.578 (33.671)
Test: [90/196] Time 0.212 (0.259) Loss 5.9870 (4.3391) Prec@1 1.953 (13.054) Prec@5 6.250 (32.572)
Test: [100/196] Time 0.202 (0.254) Loss 5.5765 (4.3920) Prec@1 3.125 (12.867) Prec@5 11.328 (32.051)
Test: [110/196] Time 0.203 (0.249) Loss 4.7582 (4.4187) Prec@1 11.719 (12.774) Prec@5 28.125 (31.894)
Test: [120/196] Time 0.202 (0.245) Loss 5.3426 (4.4615) Prec@1 5.859 (12.355) Prec@5 16.797 (31.289)
Test: [130/196] Time 0.214 (0.242) Loss 4.8411 (4.4739) Prec@1 10.938 (12.235) Prec@5 28.516 (31.202)
Test: [140/196] Time 0.202 (0.240) Loss 4.8062 (4.5025) Prec@1 3.906 (12.112) Prec@5 26.562 (30.765)
Test: [150/196] Time 0.204 (0.237) Loss 5.0516 (4.5353) Prec@1 13.281 (11.952) Prec@5 21.094 (30.378)
Test: [160/196] Time 0.211 (0.235) Loss 4.6005 (4.5510) Prec@1 11.719 (11.930) Prec@5 30.469 (30.209)
Test: [170/196] Time 0.202 (0.234) Loss 3.6072 (4.5770) Prec@1 33.203 (11.712) Prec@5 50.781 (29.747)
Test: [180/196] Time 0.201 (0.232) Loss 3.2034 (4.5825) Prec@1 33.984 (11.829) Prec@5 56.250 (29.709)
Test: [190/196] Time 0.202 (0.230) Loss 3.1708 (4.5521) Prec@1 24.609 (11.938) Prec@5 59.375 (30.258)
* Prec@1 12.210 Prec@5 30.648
Epoch: [2][0/5005] Time 3.867 (3.867) Data 3.605 (3.605) Loss 4.9396 (4.9396) Prec@1 8.203 (8.203) Prec@5 22.266 (22.266)
Epoch: [2][10/5005] Time 0.607 (0.931) Data 0.000 (0.378) Loss 5.1053 (4.9504) Prec@1 4.688 (9.197) Prec@5 22.266 (23.366)
Epoch: [2][20/5005] Time 0.606 (0.777) Data 0.000 (0.198) Loss 4.8266 (4.9276) Prec@1 8.984 (9.115) Prec@5 25.391 (23.996)
Epoch: [2][30/5005] Time 0.611 (0.725) Data 0.000 (0.134) Loss 4.8417 (4.9203) Prec@1 8.984 (9.035) Prec@5 23.828 (23.790)
Epoch: [2][40/5005] Time 0.613 (0.698) Data 0.000 (0.102) Loss 4.9299 (4.9180) Prec@1 9.375 (9.242) Prec@5 22.266 (24.143)
Epoch: [2][50/5005] Time 0.619 (0.681) Data 0.000 (0.082) Loss 4.8320 (4.9189) Prec@1 6.641 (9.214) Prec@5 28.516 (24.357)
Epoch: [2][60/5005] Time 0.613 (0.670) Data 0.000 (0.068) Loss 4.9380 (4.9201) Prec@1 9.375 (9.196) Prec@5 26.172 (24.302)
Epoch: [2][70/5005] Time 0.614 (0.662) Data 0.000 (0.059) Loss 4.7702 (4.9186) Prec@1 9.766 (9.204) Prec@5 27.734 (24.345)
Epoch: [2][80/5005] Time 0.614 (0.656) Data 0.000 (0.052) Loss 4.9809 (4.9232) Prec@1 7.031 (9.076) Prec@5 25.391 (24.166)
Epoch: [2][90/5005] Time 0.618 (0.652) Data 0.001 (0.046) Loss 5.0569 (4.9320) Prec@1 8.594 (9.019) Prec@5 20.312 (23.996)
Epoch: [2][100/5005] Time 0.615 (0.648) Data 0.000 (0.042) Loss 4.9439 (4.9344) Prec@1 9.375 (8.992) Prec@5 24.609 (24.033)
Epoch: [2][110/5005] Time 0.615 (0.645) Data 0.000 (0.038) Loss 5.0224 (4.9327) Prec@1 8.984 (9.055) Prec@5 23.438 (24.127)
Epoch: [2][120/5005] Time 0.616 (0.642) Data 0.000 (0.035) Loss 5.0778 (4.9358) Prec@1 8.984 (9.065) Prec@5 23.438 (24.006)
Epoch: [2][130/5005] Time 0.620 (0.640) Data 0.000 (0.032) Loss 4.9607 (4.9350) Prec@1 7.422 (9.035) Prec@5 23.438 (24.061)
Epoch: [2][140/5005] Time 0.613 (0.638) Data 0.001 (0.030) Loss 4.8521 (4.9372) Prec@1 6.250 (8.982) Prec@5 22.656 (24.077)
Epoch: [2][150/5005] Time 0.614 (0.636) Data 0.000 (0.028) Loss 5.0932 (4.9384) Prec@1 5.469 (9.023) Prec@5 22.266 (24.089)
Epoch: [2][160/5005] Time 0.619 (0.635) Data 0.001 (0.026) Loss 4.9955 (4.9344) Prec@1 7.812 (9.050) Prec@5 20.703 (24.146)
Epoch: [2][170/5005] Time 0.618 (0.634) Data 0.000 (0.025) Loss 4.8894 (4.9310) Prec@1 8.203 (9.076) Prec@5 25.781 (24.232)
Epoch: [2][180/5005] Time 0.611 (0.633) Data 0.000 (0.023) Loss 4.8413 (4.9286) Prec@1 10.156 (9.084) Prec@5 26.172 (24.296)
Epoch: [2][190/5005] Time 0.611 (0.632) Data 0.000 (0.022) Loss 5.0177 (4.9280) Prec@1 10.938 (9.101) Prec@5 21.875 (24.327)
Epoch: [2][200/5005] Time 0.607 (0.631) Data 0.000 (0.021) Loss 4.8743 (4.9298) Prec@1 7.812 (9.074) Prec@5 23.047 (24.291)
Epoch: [2][210/5005] Time 0.608 (0.630) Data 0.000 (0.020) Loss 4.8774 (4.9295) Prec@1 10.156 (9.044) Prec@5 24.609 (24.261)
Epoch: [2][220/5005] Time 0.622 (0.629) Data 0.000 (0.019) Loss 5.0166 (4.9302) Prec@1 11.328 (9.036) Prec@5 23.438 (24.274)
Epoch: [2][230/5005] Time 0.620 (0.628) Data 0.000 (0.018) Loss 4.9306 (4.9277) Prec@1 10.547 (9.093) Prec@5 25.000 (24.319)
Epoch: [2][240/5005] Time 0.607 (0.628) Data 0.001 (0.018) Loss 5.0067 (4.9271) Prec@1 7.812 (9.088) Prec@5 21.484 (24.319)
Epoch: [2][250/5005] Time 0.615 (0.627) Data 0.000 (0.017) Loss 4.9040 (4.9277) Prec@1 8.984 (9.090) Prec@5 24.219 (24.335)
Epoch: [2][260/5005] Time 0.613 (0.627) Data 0.001 (0.016) Loss 5.0857 (4.9288) Prec@1 7.422 (9.125) Prec@5 19.141 (24.353)
Epoch: [2][270/5005] Time 0.610 (0.626) Data 0.000 (0.016) Loss 4.6746 (4.9249) Prec@1 10.547 (9.154) Prec@5 30.859 (24.428)
Epoch: [2][280/5005] Time 0.610 (0.626) Data 0.000 (0.015) Loss 4.8867 (4.9231) Prec@1 10.156 (9.178) Prec@5 26.953 (24.479)
Epoch: [2][290/5005] Time 0.612 (0.625) Data 0.000 (0.015) Loss 5.0820 (4.9238) Prec@1 10.547 (9.184) Prec@5 23.047 (24.466)
Epoch: [2][300/5005] Time 0.609 (0.625) Data 0.000 (0.014) Loss 4.9773 (4.9258) Prec@1 9.375 (9.180) Prec@5 26.172 (24.451)
Epoch: [2][310/5005] Time 0.613 (0.624) Data 0.000 (0.014) Loss 4.7171 (4.9245) Prec@1 9.375 (9.177) Prec@5 29.688 (24.450)
Epoch: [2][320/5005] Time 0.614 (0.624) Data 0.000 (0.013) Loss 4.8641 (4.9239) Prec@1 7.422 (9.183) Prec@5 23.047 (24.463)
Epoch: [2][330/5005] Time 0.613 (0.624) Data 0.000 (0.013) Loss 4.8910 (4.9242) Prec@1 6.641 (9.186) Prec@5 23.438 (24.444)
Epoch: [2][340/5005] Time 0.611 (0.623) Data 0.000 (0.013) Loss 4.7439 (4.9232) Prec@1 9.375 (9.188) Prec@5 28.125 (24.472)
Epoch: [2][350/5005] Time 0.608 (0.623) Data 0.000 (0.012) Loss 5.0386 (4.9238) Prec@1 7.422 (9.182) Prec@5 22.656 (24.470)
Epoch: [2][360/5005] Time 0.615 (0.623) Data 0.000 (0.012) Loss 5.0016 (4.9272) Prec@1 7.422 (9.158) Prec@5 22.656 (24.406)
Epoch: [2][370/5005] Time 0.613 (0.622) Data 0.000 (0.012) Loss 4.8225 (4.9284) Prec@1 6.250 (9.140) Prec@5 21.484 (24.388)
Epoch: [2][380/5005] Time 0.616 (0.622) Data 0.000 (0.011) Loss 4.8411 (4.9272) Prec@1 12.109 (9.156) Prec@5 27.344 (24.413)
Epoch: [2][390/5005] Time 0.616 (0.622) Data 0.000 (0.011) Loss 4.7463 (4.9256) Prec@1 8.984 (9.159) Prec@5 27.734 (24.439)
Epoch: [2][400/5005] Time 0.614 (0.622) Data 0.000 (0.011) Loss 4.9908 (4.9253) Prec@1 10.547 (9.171) Prec@5 26.562 (24.436)
Epoch: [2][410/5005] Time 0.611 (0.622) Data 0.001 (0.011) Loss 4.6380 (4.9232) Prec@1 12.109 (9.189) Prec@5 28.125 (24.470)
Epoch: [2][420/5005] Time 0.612 (0.621) Data 0.000 (0.010) Loss 4.9663 (4.9227) Prec@1 11.328 (9.183) Prec@5 27.344 (24.482)
Epoch: [2][430/5005] Time 0.612 (0.621) Data 0.000 (0.010) Loss 4.8500 (4.9192) Prec@1 8.984 (9.218) Prec@5 23.828 (24.520)
Epoch: [2][440/5005] Time 0.621 (0.621) Data 0.000 (0.010) Loss 5.0541 (4.9172) Prec@1 7.031 (9.228) Prec@5 24.219 (24.551)
Epoch: [2][450/5005] Time 0.613 (0.621) Data 0.000 (0.010) Loss 4.7614 (4.9160) Prec@1 10.938 (9.267) Prec@5 28.906 (24.585)
Epoch: [2][460/5005] Time 0.605 (0.621) Data 0.000 (0.009) Loss 5.0182 (4.9141) Prec@1 10.156 (9.294) Prec@5 24.219 (24.625)
Epoch: [2][470/5005] Time 0.614 (0.621) Data 0.001 (0.009) Loss 5.0626 (4.9141) Prec@1 8.594 (9.287) Prec@5 22.266 (24.609)
Epoch: [2][480/5005] Time 0.610 (0.620) Data 0.000 (0.009) Loss 4.9396 (4.9132) Prec@1 7.812 (9.286) Prec@5 21.484 (24.609)
Epoch: [2][490/5005] Time 0.614 (0.620) Data 0.000 (0.009) Loss 4.9574 (4.9138) Prec@1 8.594 (9.279) Prec@5 24.609 (24.605)
Epoch: [2][500/5005] Time 0.613 (0.620) Data 0.000 (0.009) Loss 4.7266 (4.9123) Prec@1 11.328 (9.292) Prec@5 28.125 (24.627)
Epoch: [2][510/5005] Time 0.610 (0.620) Data 0.001 (0.009) Loss 4.8418 (4.9120) Prec@1 8.984 (9.282) Prec@5 25.000 (24.633)
Epoch: [2][520/5005] Time 0.614 (0.620) Data 0.001 (0.008) Loss 4.8035 (4.9110) Prec@1 8.984 (9.281) Prec@5 27.734 (24.654)
Epoch: [2][530/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 4.9496 (4.9104) Prec@1 10.156 (9.291) Prec@5 27.344 (24.664)
Epoch: [2][540/5005] Time 0.610 (0.620) Data 0.000 (0.008) Loss 5.0996 (4.9107) Prec@1 8.203 (9.279) Prec@5 23.438 (24.645)
Epoch: [2][550/5005] Time 0.609 (0.619) Data 0.001 (0.008) Loss 4.7477 (4.9096) Prec@1 9.766 (9.286) Prec@5 27.734 (24.671)
Epoch: [2][560/5005] Time 0.610 (0.619) Data 0.001 (0.008) Loss 4.8825 (4.9096) Prec@1 8.594 (9.291) Prec@5 26.172 (24.699)
Epoch: [2][570/5005] Time 0.610 (0.619) Data 0.000 (0.008) Loss 4.7053 (4.9095) Prec@1 10.938 (9.289) Prec@5 28.516 (24.691)
Epoch: [2][580/5005] Time 0.609 (0.619) Data 0.001 (0.008) Loss 4.7487 (4.9081) Prec@1 10.156 (9.296) Prec@5 27.344 (24.723)
Epoch: [2][590/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 4.7816 (4.9069) Prec@1 7.422 (9.300) Prec@5 23.828 (24.738)
Epoch: [2][600/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 4.8190 (4.9058) Prec@1 9.375 (9.318) Prec@5 27.344 (24.760)
Epoch: [2][610/5005] Time 0.610 (0.619) Data 0.000 (0.007) Loss 4.9654 (4.9050) Prec@1 7.812 (9.314) Prec@5 22.656 (24.762)
Epoch: [2][620/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 4.7423 (4.9041) Prec@1 10.156 (9.310) Prec@5 28.906 (24.782)
Epoch: [2][630/5005] Time 0.607 (0.619) Data 0.000 (0.007) Loss 4.9729 (4.9042) Prec@1 11.328 (9.322) Prec@5 25.781 (24.789)
Epoch: [2][640/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 4.7268 (4.9037) Prec@1 12.891 (9.334) Prec@5 28.125 (24.807)
Epoch: [2][650/5005] Time 0.612 (0.618) Data 0.000 (0.007) Loss 4.7949 (4.9035) Prec@1 9.375 (9.349) Prec@5 23.828 (24.814)
Epoch: [2][660/5005] Time 0.618 (0.618) Data 0.001 (0.007) Loss 4.8223 (4.9021) Prec@1 10.938 (9.357) Prec@5 25.781 (24.836)
Epoch: [2][670/5005] Time 0.615 (0.618) Data 0.001 (0.007) Loss 4.9749 (4.9010) Prec@1 7.422 (9.364) Prec@5 24.609 (24.860)
Epoch: [2][680/5005] Time 0.608 (0.618) Data 0.001 (0.007) Loss 4.9269 (4.9018) Prec@1 8.984 (9.362) Prec@5 24.219 (24.844)
Epoch: [2][690/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 4.7796 (4.9012) Prec@1 12.109 (9.358) Prec@5 28.125 (24.854)
Epoch: [2][700/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 4.7285 (4.8996) Prec@1 7.422 (9.371) Prec@5 29.688 (24.881)
Epoch: [2][710/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 4.8413 (4.8982) Prec@1 8.594 (9.374) Prec@5 23.828 (24.909)
Epoch: [2][720/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 4.6811 (4.8967) Prec@1 11.328 (9.386) Prec@5 27.734 (24.935)
Epoch: [2][730/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 4.7313 (4.8957) Prec@1 11.328 (9.388) Prec@5 28.906 (24.954)
Epoch: [2][740/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 4.8353 (4.8948) Prec@1 8.984 (9.391) Prec@5 25.391 (24.980)
Epoch: [2][750/5005] Time 0.608 (0.618) Data 0.001 (0.006) Loss 4.8307 (4.8938) Prec@1 8.203 (9.401) Prec@5 24.219 (25.000)
Epoch: [2][760/5005] Time 0.621 (0.618) Data 0.000 (0.006) Loss 4.7500 (4.8926) Prec@1 10.938 (9.414) Prec@5 28.125 (25.035)
Epoch: [2][770/5005] Time 0.607 (0.618) Data 0.000 (0.006) Loss 4.8226 (4.8917) Prec@1 9.375 (9.431) Prec@5 27.734 (25.041)
Epoch: [2][780/5005] Time 0.620 (0.618) Data 0.001 (0.006) Loss 4.8248 (4.8912) Prec@1 6.250 (9.432) Prec@5 27.734 (25.062)
Epoch: [2][790/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 4.7395 (4.8903) Prec@1 11.328 (9.432) Prec@5 28.516 (25.078)
Epoch: [2][800/5005] Time 0.620 (0.617) Data 0.000 (0.006) Loss 4.8272 (4.8890) Prec@1 9.375 (9.441) Prec@5 27.344 (25.105)
Epoch: [2][810/5005] Time 0.616 (0.617) Data 0.000 (0.006) Loss 4.7635 (4.8879) Prec@1 11.328 (9.454) Prec@5 28.516 (25.133)
Epoch: [2][820/5005] Time 0.616 (0.617) Data 0.000 (0.006) Loss 4.8564 (4.8875) Prec@1 8.594 (9.457) Prec@5 26.953 (25.142)
Epoch: [2][830/5005] Time 0.614 (0.617) Data 0.001 (0.005) Loss 4.8981 (4.8860) Prec@1 10.938 (9.479) Prec@5 25.391 (25.162)
Epoch: [2][840/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 4.8680 (4.8860) Prec@1 9.375 (9.484) Prec@5 27.734 (25.170)
Epoch: [2][850/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 4.7558 (4.8848) Prec@1 9.766 (9.489) Prec@5 26.562 (25.185)
Epoch: [2][860/5005] Time 0.615 (0.617) Data 0.001 (0.005) Loss 4.7410 (4.8839) Prec@1 10.156 (9.497) Prec@5 27.344 (25.195)
Epoch: [2][870/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 4.6056 (4.8833) Prec@1 12.109 (9.506) Prec@5 28.906 (25.214)
Epoch: [2][880/5005] Time 0.615 (0.617) Data 0.001 (0.005) Loss 4.8589 (4.8824) Prec@1 7.031 (9.510) Prec@5 24.609 (25.227)
Epoch: [2][890/5005] Time 0.613 (0.617) Data 0.001 (0.005) Loss 4.8596 (4.8812) Prec@1 8.984 (9.523) Prec@5 26.953 (25.255)
Epoch: [2][900/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 4.6529 (4.8796) Prec@1 10.938 (9.543) Prec@5 27.344 (25.287)
Epoch: [2][910/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 4.8934 (4.8785) Prec@1 8.203 (9.559) Prec@5 22.656 (25.303)
Epoch: [2][920/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 4.7931 (4.8784) Prec@1 10.156 (9.565) Prec@5 27.344 (25.296)
Epoch: [2][930/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 4.6014 (4.8779) Prec@1 12.500 (9.578) Prec@5 29.688 (25.317)
Epoch: [2][940/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 5.1045 (4.8782) Prec@1 6.250 (9.581) Prec@5 20.312 (25.314)
Epoch: [2][950/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 4.7184 (4.8777) Prec@1 12.109 (9.581) Prec@5 26.562 (25.325)
Epoch: [2][960/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 4.9081 (4.8767) Prec@1 10.547 (9.591) Prec@5 22.656 (25.339)
Epoch: [2][970/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 4.8441 (4.8758) Prec@1 9.766 (9.591) Prec@5 25.781 (25.352)
Epoch: [2][980/5005] Time 0.621 (0.617) Data 0.000 (0.005) Loss 4.5900 (4.8748) Prec@1 8.594 (9.594) Prec@5 25.781 (25.368)
Epoch: [2][990/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 4.9127 (4.8750) Prec@1 8.594 (9.593) Prec@5 27.734 (25.377)
Epoch: [2][1000/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 4.6614 (4.8737) Prec@1 11.328 (9.599) Prec@5 28.516 (25.389)
Epoch: [2][1010/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 4.8848 (4.8731) Prec@1 8.984 (9.611) Prec@5 21.875 (25.402)
Epoch: [2][1020/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 4.8247 (4.8714) Prec@1 7.812 (9.624) Prec@5 29.688 (25.444)
Epoch: [2][1030/5005] Time 0.609 (0.617) Data 0.001 (0.004) Loss 4.7926 (4.8709) Prec@1 10.547 (9.630) Prec@5 26.562 (25.455)
Epoch: [2][1040/5005] Time 0.606 (0.617) Data 0.000 (0.004) Loss 4.8335 (4.8707) Prec@1 10.547 (9.632) Prec@5 28.125 (25.455)
Epoch: [2][1050/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 4.5480 (4.8702) Prec@1 12.500 (9.636) Prec@5 30.469 (25.474)
Epoch: [2][1060/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 4.9686 (4.8693) Prec@1 9.375 (9.646) Prec@5 19.922 (25.492)
Epoch: [2][1070/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 4.6334 (4.8688) Prec@1 12.109 (9.650) Prec@5 25.000 (25.496)
Epoch: [2][1080/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 4.7214 (4.8676) Prec@1 11.719 (9.659) Prec@5 30.469 (25.519)
Epoch: [2][1090/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 4.8410 (4.8666) Prec@1 8.594 (9.673) Prec@5 23.828 (25.530)
Epoch: [2][1100/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 4.8432 (4.8660) Prec@1 6.641 (9.684) Prec@5 23.828 (25.549)
Epoch: [2][1110/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 4.8276 (4.8648) Prec@1 7.422 (9.694) Prec@5 25.781 (25.560)
Epoch: [2][1120/5005] Time 0.615 (0.616) Data 0.001 (0.004) Loss 4.9145 (4.8634) Prec@1 11.719 (9.712) Prec@5 24.609 (25.589)
Epoch: [2][1130/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 4.8669 (4.8627) Prec@1 10.938 (9.713) Prec@5 25.391 (25.605)
Epoch: [2][1140/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 4.7796 (4.8615) Prec@1 12.109 (9.717) Prec@5 25.000 (25.616)
Epoch: [2][1150/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 4.8206 (4.8601) Prec@1 8.203 (9.721) Prec@5 23.047 (25.626)
Epoch: [2][1160/5005] Time 0.606 (0.616) Data 0.000 (0.004) Loss 4.7854 (4.8595) Prec@1 10.547 (9.727) Prec@5 27.734 (25.639)
Epoch: [2][1170/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 4.7913 (4.8585) Prec@1 9.766 (9.733) Prec@5 26.562 (25.657)
Epoch: [2][1180/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 4.8949 (4.8581) Prec@1 9.375 (9.736) Prec@5 24.609 (25.667)
Epoch: [2][1190/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 4.5656 (4.8574) Prec@1 14.062 (9.746) Prec@5 30.469 (25.681)
Epoch: [2][1200/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 4.6844 (4.8567) Prec@1 11.328 (9.756) Prec@5 29.688 (25.693)
Epoch: [2][1210/5005] Time 0.618 (0.616) Data 0.001 (0.004) Loss 4.8647 (4.8559) Prec@1 10.938 (9.768) Prec@5 25.781 (25.718)
Epoch: [2][1220/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 4.7979 (4.8550) Prec@1 9.766 (9.782) Prec@5 26.172 (25.732)
Epoch: [2][1230/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 4.7173 (4.8540) Prec@1 9.766 (9.791) Prec@5 27.344 (25.748)
Epoch: [2][1240/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 4.7189 (4.8526) Prec@1 12.891 (9.802) Prec@5 28.516 (25.769)
Epoch: [2][1250/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 4.7593 (4.8515) Prec@1 9.375 (9.805) Prec@5 29.297 (25.796)
Epoch: [2][1260/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 4.9702 (4.8514) Prec@1 8.594 (9.808) Prec@5 26.172 (25.799)
Epoch: [2][1270/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 4.6101 (4.8509) Prec@1 12.891 (9.808) Prec@5 31.250 (25.812)
Epoch: [2][1280/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 4.6602 (4.8497) Prec@1 15.625 (9.824) Prec@5 33.594 (25.837)
Epoch: [2][1290/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 4.6475 (4.8488) Prec@1 13.281 (9.842) Prec@5 30.859 (25.859)
Epoch: [2][1300/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 4.5816 (4.8483) Prec@1 14.453 (9.849) Prec@5 32.031 (25.867)
Epoch: [2][1310/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 4.6768 (4.8475) Prec@1 10.156 (9.851) Prec@5 30.859 (25.878)
Epoch: [2][1320/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 4.7336 (4.8466) Prec@1 9.375 (9.859) Prec@5 28.125 (25.894)
Epoch: [2][1330/5005] Time 0.609 (0.616) Data 0.001 (0.004) Loss 4.8015 (4.8458) Prec@1 11.328 (9.866) Prec@5 25.391 (25.907)
Epoch: [2][1340/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 4.7374 (4.8452) Prec@1 8.984 (9.867) Prec@5 25.000 (25.916)
Epoch: [2][1350/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 5.0491 (4.8450) Prec@1 8.984 (9.869) Prec@5 18.750 (25.914)
Epoch: [2][1360/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 5.0574 (4.8443) Prec@1 7.422 (9.873) Prec@5 21.875 (25.924)
Epoch: [2][1370/5005] Time 0.616 (0.616) Data 0.001 (0.003) Loss 4.8193 (4.8437) Prec@1 10.156 (9.874) Prec@5 29.297 (25.942)
Epoch: [2][1380/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.8393 (4.8430) Prec@1 10.938 (9.879) Prec@5 28.125 (25.952)
Epoch: [2][1390/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.8752 (4.8420) Prec@1 8.203 (9.889) Prec@5 24.219 (25.973)
Epoch: [2][1400/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 4.8301 (4.8414) Prec@1 9.766 (9.892) Prec@5 24.609 (25.981)
Epoch: [2][1410/5005] Time 0.616 (0.616) Data 0.001 (0.003) Loss 4.7639 (4.8406) Prec@1 8.984 (9.896) Prec@5 26.172 (26.005)
Epoch: [2][1420/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.6783 (4.8396) Prec@1 10.938 (9.905) Prec@5 25.391 (26.015)
Epoch: [2][1430/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.7306 (4.8394) Prec@1 12.891 (9.909) Prec@5 26.953 (26.022)
Epoch: [2][1440/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.6353 (4.8385) Prec@1 11.719 (9.912) Prec@5 26.953 (26.032)
Epoch: [2][1450/5005] Time 0.615 (0.616) Data 0.001 (0.003) Loss 4.7498 (4.8381) Prec@1 12.500 (9.921) Prec@5 26.562 (26.039)
Epoch: [2][1460/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.7448 (4.8377) Prec@1 9.766 (9.926) Prec@5 27.344 (26.046)
Epoch: [2][1470/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 4.9460 (4.8374) Prec@1 10.938 (9.929) Prec@5 27.734 (26.056)
Epoch: [2][1480/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.7455 (4.8365) Prec@1 11.719 (9.935) Prec@5 25.781 (26.071)
Epoch: [2][1490/5005] Time 0.609 (0.616) Data 0.001 (0.003) Loss 4.5111 (4.8356) Prec@1 14.062 (9.949) Prec@5 29.688 (26.086)
Epoch: [2][1500/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 4.7474 (4.8348) Prec@1 10.547 (9.957) Prec@5 28.516 (26.098)
Epoch: [2][1510/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 4.3985 (4.8338) Prec@1 12.891 (9.961) Prec@5 30.078 (26.110)
Epoch: [2][1520/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.8804 (4.8330) Prec@1 5.469 (9.969) Prec@5 22.266 (26.123)
Epoch: [2][1530/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 4.7623 (4.8320) Prec@1 10.547 (9.984) Prec@5 29.297 (26.143)
Epoch: [2][1540/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.9703 (4.8310) Prec@1 10.156 (9.995) Prec@5 27.344 (26.164)
Epoch: [2][1550/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 4.9839 (4.8307) Prec@1 7.812 (10.001) Prec@5 22.266 (26.167)
Epoch: [2][1560/5005] Time 0.621 (0.616) Data 0.001 (0.003) Loss 4.6187 (4.8296) Prec@1 12.891 (10.010) Prec@5 28.516 (26.183)
Epoch: [2][1570/5005] Time 0.603 (0.616) Data 0.000 (0.003) Loss 4.9068 (4.8289) Prec@1 11.719 (10.017) Prec@5 28.516 (26.202)
Epoch: [2][1580/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.7489 (4.8282) Prec@1 11.328 (10.020) Prec@5 26.562 (26.214)
Epoch: [2][1590/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.5451 (4.8273) Prec@1 12.891 (10.036) Prec@5 30.078 (26.232)
Epoch: [2][1600/5005] Time 0.601 (0.616) Data 0.000 (0.003) Loss 4.8281 (4.8269) Prec@1 10.938 (10.041) Prec@5 29.688 (26.240)
Epoch: [2][1610/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.6994 (4.8264) Prec@1 10.156 (10.046) Prec@5 29.688 (26.255)
Epoch: [2][1620/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 4.5881 (4.8260) Prec@1 11.328 (10.052) Prec@5 27.734 (26.262)
Epoch: [2][1630/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 4.6505 (4.8253) Prec@1 10.547 (10.059) Prec@5 28.125 (26.272)
Epoch: [2][1640/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.6828 (4.8244) Prec@1 16.016 (10.072) Prec@5 30.469 (26.290)
Epoch: [2][1650/5005] Time 0.619 (0.615) Data 0.001 (0.003) Loss 4.7363 (4.8232) Prec@1 12.891 (10.084) Prec@5 29.688 (26.318)
Epoch: [2][1660/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.7344 (4.8226) Prec@1 11.719 (10.095) Prec@5 30.078 (26.329)
Epoch: [2][1670/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 4.5566 (4.8219) Prec@1 11.328 (10.106) Prec@5 26.172 (26.341)
Epoch: [2][1680/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 4.7942 (4.8210) Prec@1 10.938 (10.118) Prec@5 26.562 (26.357)
Epoch: [2][1690/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 4.6690 (4.8204) Prec@1 12.500 (10.131) Prec@5 30.859 (26.369)
Epoch: [2][1700/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 4.5169 (4.8201) Prec@1 14.062 (10.135) Prec@5 32.422 (26.377)
Epoch: [2][1710/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.4612 (4.8192) Prec@1 13.281 (10.145) Prec@5 31.641 (26.392)
Epoch: [2][1720/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 4.8698 (4.8187) Prec@1 10.547 (10.156) Prec@5 26.172 (26.411)
Epoch: [2][1730/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.4611 (4.8178) Prec@1 14.453 (10.167) Prec@5 32.422 (26.416)
Epoch: [2][1740/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 4.4688 (4.8169) Prec@1 10.156 (10.165) Prec@5 33.203 (26.430)
Epoch: [2][1750/5005] Time 0.613 (0.615) Data 0.001 (0.003) Loss 4.6626 (4.8164) Prec@1 9.375 (10.167) Prec@5 28.906 (26.443)
Epoch: [2][1760/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 4.7897 (4.8156) Prec@1 11.328 (10.172) Prec@5 30.859 (26.458)
Epoch: [2][1770/5005] Time 0.623 (0.615) Data 0.000 (0.003) Loss 4.6966 (4.8148) Prec@1 13.281 (10.183) Prec@5 30.469 (26.471)
Epoch: [2][1780/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 4.6444 (4.8139) Prec@1 12.500 (10.194) Prec@5 30.469 (26.495)
Epoch: [2][1790/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 4.7311 (4.8136) Prec@1 10.156 (10.199) Prec@5 28.516 (26.505)
Epoch: [2][1800/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 4.6276 (4.8129) Prec@1 12.500 (10.207) Prec@5 26.172 (26.524)
Epoch: [2][1810/5005] Time 0.622 (0.615) Data 0.000 (0.003) Loss 4.8751 (4.8119) Prec@1 10.156 (10.220) Prec@5 27.344 (26.548)
Epoch: [2][1820/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.6976 (4.8111) Prec@1 12.891 (10.227) Prec@5 25.391 (26.559)
Epoch: [2][1830/5005] Time 0.615 (0.615) Data 0.001 (0.003) Loss 4.5347 (4.8100) Prec@1 17.188 (10.237) Prec@5 30.859 (26.580)
Epoch: [2][1840/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.4941 (4.8090) Prec@1 14.453 (10.244) Prec@5 33.203 (26.603)
Epoch: [2][1850/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 4.8635 (4.8080) Prec@1 9.375 (10.248) Prec@5 29.688 (26.620)
Epoch: [2][1860/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 4.6019 (4.8076) Prec@1 10.547 (10.247) Prec@5 30.859 (26.626)
Epoch: [2][1870/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 4.7981 (4.8068) Prec@1 8.594 (10.258) Prec@5 26.953 (26.644)
Epoch: [2][1880/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 4.5859 (4.8063) Prec@1 11.719 (10.260) Prec@5 30.078 (26.655)
Epoch: [2][1890/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 4.5862 (4.8054) Prec@1 12.500 (10.269) Prec@5 32.422 (26.675)
Epoch: [2][1900/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 4.6284 (4.8044) Prec@1 12.109 (10.282) Prec@5 31.250 (26.692)
Epoch: [2][1910/5005] Time 0.619 (0.615) Data 0.001 (0.003) Loss 4.4815 (4.8033) Prec@1 9.766 (10.291) Prec@5 30.078 (26.709)
Epoch: [2][1920/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 4.7546 (4.8019) Prec@1 12.109 (10.302) Prec@5 30.078 (26.735)
Epoch: [2][1930/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 4.8260 (4.8013) Prec@1 12.500 (10.313) Prec@5 28.906 (26.745)
Epoch: [2][1940/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.6389 (4.8008) Prec@1 12.109 (10.317) Prec@5 32.422 (26.761)
Epoch: [2][1950/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 4.5991 (4.8000) Prec@1 12.109 (10.327) Prec@5 30.078 (26.778)
Epoch: [2][1960/5005] Time 0.612 (0.615) Data 0.001 (0.003) Loss 4.6900 (4.7992) Prec@1 11.328 (10.333) Prec@5 28.125 (26.793)
Epoch: [2][1970/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.6185 (4.7980) Prec@1 12.109 (10.346) Prec@5 26.562 (26.811)
Epoch: [2][1980/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 4.6889 (4.7975) Prec@1 11.328 (10.353) Prec@5 31.250 (26.824)
Epoch: [2][1990/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.6839 (4.7971) Prec@1 11.719 (10.359) Prec@5 30.469 (26.834)
Epoch: [2][2000/5005] Time 0.615 (0.615) Data 0.001 (0.003) Loss 4.7810 (4.7969) Prec@1 10.938 (10.366) Prec@5 26.953 (26.842)
Epoch: [2][2010/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 4.6450 (4.7962) Prec@1 12.109 (10.373) Prec@5 28.906 (26.853)
Epoch: [2][2020/5005] Time 0.614 (0.615) Data 0.001 (0.003) Loss 4.8102 (4.7958) Prec@1 12.109 (10.377) Prec@5 28.906 (26.862)
Epoch: [2][2030/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.6466 (4.7953) Prec@1 12.109 (10.379) Prec@5 28.125 (26.872)
Epoch: [2][2040/5005] Time 0.620 (0.615) Data 0.001 (0.002) Loss 4.5411 (4.7944) Prec@1 13.672 (10.390) Prec@5 32.031 (26.894)
Epoch: [2][2050/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.4147 (4.7933) Prec@1 13.281 (10.403) Prec@5 35.547 (26.917)
Epoch: [2][2060/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 4.7603 (4.7927) Prec@1 11.328 (10.410) Prec@5 28.125 (26.930)
Epoch: [2][2070/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 4.4126 (4.7917) Prec@1 17.188 (10.425) Prec@5 35.156 (26.948)
Epoch: [2][2080/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.4888 (4.7909) Prec@1 11.719 (10.437) Prec@5 30.859 (26.966)
Epoch: [2][2090/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5787 (4.7900) Prec@1 9.375 (10.447) Prec@5 28.906 (26.986)
Epoch: [2][2100/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.6409 (4.7893) Prec@1 11.328 (10.449) Prec@5 34.766 (27.001)
Epoch: [2][2110/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.5892 (4.7886) Prec@1 9.766 (10.453) Prec@5 31.641 (27.009)
Epoch: [2][2120/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.5403 (4.7876) Prec@1 12.891 (10.467) Prec@5 28.906 (27.025)
Epoch: [2][2130/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.5548 (4.7867) Prec@1 9.766 (10.476) Prec@5 28.906 (27.041)
Epoch: [2][2140/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.5687 (4.7861) Prec@1 10.938 (10.482) Prec@5 32.031 (27.050)
Epoch: [2][2150/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 4.5818 (4.7853) Prec@1 12.109 (10.491) Prec@5 30.469 (27.063)
Epoch: [2][2160/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.7004 (4.7847) Prec@1 11.719 (10.500) Prec@5 28.516 (27.073)
Epoch: [2][2170/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.7457 (4.7842) Prec@1 11.719 (10.504) Prec@5 29.688 (27.083)
Epoch: [2][2180/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.5837 (4.7835) Prec@1 11.328 (10.515) Prec@5 28.125 (27.094)
Epoch: [2][2190/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.4522 (4.7823) Prec@1 14.844 (10.527) Prec@5 32.422 (27.111)
Epoch: [2][2200/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.4661 (4.7816) Prec@1 10.547 (10.530) Prec@5 33.203 (27.126)
Epoch: [2][2210/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.5329 (4.7809) Prec@1 12.109 (10.536) Prec@5 30.859 (27.144)
Epoch: [2][2220/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.6607 (4.7802) Prec@1 12.109 (10.542) Prec@5 33.594 (27.155)
Epoch: [2][2230/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5460 (4.7797) Prec@1 12.500 (10.547) Prec@5 31.250 (27.164)
Epoch: [2][2240/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.5665 (4.7789) Prec@1 10.547 (10.554) Prec@5 29.688 (27.182)
Epoch: [2][2250/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.7511 (4.7782) Prec@1 16.406 (10.565) Prec@5 31.250 (27.198)
Epoch: [2][2260/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.6215 (4.7777) Prec@1 15.234 (10.573) Prec@5 30.859 (27.206)
Epoch: [2][2270/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 4.5942 (4.7773) Prec@1 13.281 (10.580) Prec@5 30.078 (27.214)
Epoch: [2][2280/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 4.6358 (4.7767) Prec@1 14.453 (10.588) Prec@5 30.859 (27.228)
Epoch: [2][2290/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.4748 (4.7759) Prec@1 11.328 (10.593) Prec@5 30.859 (27.245)
Epoch: [2][2300/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 4.7497 (4.7750) Prec@1 13.281 (10.604) Prec@5 30.078 (27.264)
Epoch: [2][2310/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.4986 (4.7742) Prec@1 14.453 (10.611) Prec@5 31.641 (27.276)
Epoch: [2][2320/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5357 (4.7736) Prec@1 12.891 (10.619) Prec@5 30.469 (27.287)
Epoch: [2][2330/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.5009 (4.7723) Prec@1 14.453 (10.630) Prec@5 32.422 (27.307)
Epoch: [2][2340/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 4.5440 (4.7716) Prec@1 12.109 (10.639) Prec@5 29.688 (27.322)
Epoch: [2][2350/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.5947 (4.7710) Prec@1 13.281 (10.645) Prec@5 31.641 (27.331)
Epoch: [2][2360/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 4.6162 (4.7703) Prec@1 11.328 (10.655) Prec@5 30.859 (27.344)
Epoch: [2][2370/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 4.7032 (4.7695) Prec@1 13.672 (10.660) Prec@5 32.031 (27.359)
Epoch: [2][2380/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.6646 (4.7689) Prec@1 8.984 (10.665) Prec@5 30.078 (27.373)
Epoch: [2][2390/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.8368 (4.7680) Prec@1 8.203 (10.676) Prec@5 24.609 (27.390)
Epoch: [2][2400/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.6078 (4.7669) Prec@1 15.625 (10.687) Prec@5 33.203 (27.412)
Epoch: [2][2410/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 4.5989 (4.7660) Prec@1 12.109 (10.698) Prec@5 30.469 (27.425)
Epoch: [2][2420/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.6094 (4.7653) Prec@1 12.109 (10.709) Prec@5 31.250 (27.442)
Epoch: [2][2430/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.6245 (4.7645) Prec@1 10.938 (10.722) Prec@5 32.422 (27.458)
Epoch: [2][2440/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.5358 (4.7637) Prec@1 11.328 (10.729) Prec@5 30.469 (27.476)
Epoch: [2][2450/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.7211 (4.7629) Prec@1 9.375 (10.734) Prec@5 30.859 (27.486)
Epoch: [2][2460/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 4.4594 (4.7624) Prec@1 17.188 (10.740) Prec@5 35.156 (27.499)
Epoch: [2][2470/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.4804 (4.7617) Prec@1 14.062 (10.750) Prec@5 34.375 (27.516)
Epoch: [2][2480/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.5499 (4.7607) Prec@1 16.406 (10.757) Prec@5 33.984 (27.531)
Epoch: [2][2490/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 4.6758 (4.7600) Prec@1 15.234 (10.767) Prec@5 32.031 (27.548)
Epoch: [2][2500/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.6207 (4.7595) Prec@1 11.328 (10.771) Prec@5 26.562 (27.556)
Epoch: [2][2510/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.7384 (4.7587) Prec@1 11.719 (10.779) Prec@5 27.344 (27.570)
Epoch: [2][2520/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 4.4999 (4.7581) Prec@1 14.453 (10.783) Prec@5 31.641 (27.582)
Epoch: [2][2530/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.7739 (4.7578) Prec@1 10.938 (10.788) Prec@5 27.734 (27.591)
Epoch: [2][2540/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 4.4638 (4.7568) Prec@1 14.062 (10.794) Prec@5 30.078 (27.605)
Epoch: [2][2550/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5065 (4.7557) Prec@1 13.672 (10.802) Prec@5 33.594 (27.621)
Epoch: [2][2560/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 4.5881 (4.7548) Prec@1 14.844 (10.812) Prec@5 30.469 (27.634)
Epoch: [2][2570/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.6961 (4.7544) Prec@1 9.375 (10.818) Prec@5 27.734 (27.644)
Epoch: [2][2580/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 4.4542 (4.7534) Prec@1 10.547 (10.828) Prec@5 31.641 (27.661)
Epoch: [2][2590/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 4.4702 (4.7528) Prec@1 15.234 (10.834) Prec@5 37.891 (27.676)
Epoch: [2][2600/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.7208 (4.7523) Prec@1 10.156 (10.840) Prec@5 25.781 (27.686)
Epoch: [2][2610/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.4574 (4.7514) Prec@1 12.891 (10.849) Prec@5 30.078 (27.701)
Epoch: [2][2620/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 4.6198 (4.7508) Prec@1 12.500 (10.856) Prec@5 30.078 (27.713)
Epoch: [2][2630/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 4.4728 (4.7498) Prec@1 16.406 (10.865) Prec@5 32.422 (27.732)
Epoch: [2][2640/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.5766 (4.7491) Prec@1 12.500 (10.872) Prec@5 31.641 (27.745)
Epoch: [2][2650/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.7551 (4.7486) Prec@1 9.766 (10.878) Prec@5 27.734 (27.756)
Epoch: [2][2660/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.6760 (4.7480) Prec@1 13.281 (10.889) Prec@5 28.906 (27.770)
Epoch: [2][2670/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 4.5554 (4.7474) Prec@1 11.719 (10.896) Prec@5 28.906 (27.782)
Epoch: [2][2680/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5930 (4.7468) Prec@1 9.766 (10.902) Prec@5 26.562 (27.791)
Epoch: [2][2690/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.5989 (4.7461) Prec@1 11.719 (10.907) Prec@5 36.328 (27.804)
Epoch: [2][2700/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.6415 (4.7453) Prec@1 9.375 (10.915) Prec@5 30.469 (27.816)
Epoch: [2][2710/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.6964 (4.7446) Prec@1 10.547 (10.922) Prec@5 28.906 (27.831)
Epoch: [2][2720/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.3051 (4.7438) Prec@1 17.188 (10.931) Prec@5 32.812 (27.848)
Epoch: [2][2730/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 4.3223 (4.7428) Prec@1 11.719 (10.940) Prec@5 31.250 (27.864)
Epoch: [2][2740/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5941 (4.7420) Prec@1 12.891 (10.946) Prec@5 32.031 (27.880)
Epoch: [2][2750/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 4.5371 (4.7415) Prec@1 11.719 (10.952) Prec@5 30.859 (27.891)
Epoch: [2][2760/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 4.5918 (4.7409) Prec@1 12.109 (10.962) Prec@5 29.688 (27.905)
Epoch: [2][2770/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.3570 (4.7400) Prec@1 14.062 (10.969) Prec@5 33.594 (27.919)
Epoch: [2][2780/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.4911 (4.7394) Prec@1 13.672 (10.975) Prec@5 34.375 (27.931)
Epoch: [2][2790/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5746 (4.7386) Prec@1 12.109 (10.982) Prec@5 32.031 (27.947)
Epoch: [2][2800/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 4.5416 (4.7379) Prec@1 14.062 (10.989) Prec@5 35.156 (27.963)
Epoch: [2][2810/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5209 (4.7373) Prec@1 15.625 (10.997) Prec@5 33.984 (27.977)
Epoch: [2][2820/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.6700 (4.7366) Prec@1 10.938 (11.005) Prec@5 31.641 (27.992)
Epoch: [2][2830/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.6345 (4.7360) Prec@1 9.766 (11.012) Prec@5 25.000 (28.004)
Epoch: [2][2840/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.5705 (4.7353) Prec@1 11.719 (11.015) Prec@5 29.297 (28.017)
Epoch: [2][2850/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 4.3557 (4.7346) Prec@1 18.750 (11.024) Prec@5 35.547 (28.027)
Epoch: [2][2860/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 4.6453 (4.7340) Prec@1 11.719 (11.029) Prec@5 28.125 (28.036)
Epoch: [2][2870/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 4.5521 (4.7335) Prec@1 16.406 (11.037) Prec@5 33.594 (28.048)
Epoch: [2][2880/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.3882 (4.7328) Prec@1 12.500 (11.044) Prec@5 35.156 (28.061)
Epoch: [2][2890/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.6293 (4.7321) Prec@1 12.891 (11.050) Prec@5 32.812 (28.076)
Epoch: [2][2900/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 4.5918 (4.7312) Prec@1 13.281 (11.062) Prec@5 33.203 (28.094)
Epoch: [2][2910/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.4079 (4.7303) Prec@1 12.109 (11.068) Prec@5 30.469 (28.105)
Epoch: [2][2920/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.5007 (4.7297) Prec@1 14.453 (11.073) Prec@5 30.078 (28.117)
Epoch: [2][2930/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.5257 (4.7291) Prec@1 17.188 (11.082) Prec@5 33.594 (28.128)
Epoch: [2][2940/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 4.3857 (4.7283) Prec@1 16.406 (11.091) Prec@5 33.984 (28.140)
Epoch: [2][2950/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.5864 (4.7277) Prec@1 12.500 (11.097) Prec@5 30.469 (28.155)
Epoch: [2][2960/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.3842 (4.7272) Prec@1 10.938 (11.105) Prec@5 34.766 (28.164)
Epoch: [2][2970/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.5771 (4.7267) Prec@1 13.672 (11.110) Prec@5 31.250 (28.176)
Epoch: [2][2980/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 4.4759 (4.7263) Prec@1 11.328 (11.113) Prec@5 29.297 (28.183)
Epoch: [2][2990/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.6034 (4.7256) Prec@1 10.156 (11.118) Prec@5 30.469 (28.195)
Epoch: [2][3000/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.2208 (4.7245) Prec@1 14.844 (11.127) Prec@5 36.328 (28.212)
Epoch: [2][3010/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.5900 (4.7238) Prec@1 14.844 (11.134) Prec@5 30.859 (28.227)
Epoch: [2][3020/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5370 (4.7231) Prec@1 14.062 (11.141) Prec@5 31.250 (28.235)
Epoch: [2][3030/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.7004 (4.7226) Prec@1 8.203 (11.142) Prec@5 27.344 (28.245)
Epoch: [2][3040/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 4.5589 (4.7219) Prec@1 14.453 (11.147) Prec@5 28.516 (28.258)
Epoch: [2][3050/5005] Time 0.620 (0.615) Data 0.001 (0.002) Loss 4.5449 (4.7212) Prec@1 10.547 (11.156) Prec@5 31.641 (28.271)
Epoch: [2][3060/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.5660 (4.7207) Prec@1 12.500 (11.158) Prec@5 32.031 (28.277)
Epoch: [2][3070/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5531 (4.7202) Prec@1 14.062 (11.167) Prec@5 31.641 (28.290)
Epoch: [2][3080/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 4.7792 (4.7196) Prec@1 10.938 (11.176) Prec@5 32.422 (28.305)
Epoch: [2][3090/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 4.3981 (4.7187) Prec@1 13.281 (11.185) Prec@5 36.328 (28.322)
Epoch: [2][3100/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.3084 (4.7182) Prec@1 14.062 (11.187) Prec@5 34.766 (28.328)
Epoch: [2][3110/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 4.6209 (4.7174) Prec@1 13.281 (11.198) Prec@5 32.812 (28.344)
Epoch: [2][3120/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.4507 (4.7167) Prec@1 12.500 (11.205) Prec@5 32.422 (28.358)
Epoch: [2][3130/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 4.8268 (4.7160) Prec@1 9.766 (11.212) Prec@5 26.953 (28.369)
Epoch: [2][3140/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.4713 (4.7153) Prec@1 14.453 (11.221) Prec@5 29.688 (28.381)
Epoch: [2][3150/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.5417 (4.7145) Prec@1 13.281 (11.233) Prec@5 33.984 (28.397)
Epoch: [2][3160/5005] Time 0.623 (0.615) Data 0.001 (0.002) Loss 4.5664 (4.7138) Prec@1 12.500 (11.243) Prec@5 32.031 (28.411)
Epoch: [2][3170/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.5767 (4.7130) Prec@1 16.016 (11.254) Prec@5 34.766 (28.428)
Epoch: [2][3180/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.3724 (4.7121) Prec@1 15.234 (11.262) Prec@5 34.375 (28.445)
Epoch: [2][3190/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.6124 (4.7116) Prec@1 15.234 (11.271) Prec@5 30.078 (28.456)
Epoch: [2][3200/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 4.6094 (4.7107) Prec@1 9.375 (11.275) Prec@5 28.516 (28.475)
Epoch: [2][3210/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 4.5182 (4.7100) Prec@1 13.672 (11.283) Prec@5 34.766 (28.489)
Epoch: [2][3220/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.6121 (4.7092) Prec@1 9.375 (11.290) Prec@5 28.516 (28.503)
Epoch: [2][3230/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5063 (4.7086) Prec@1 12.109 (11.296) Prec@5 28.125 (28.512)
Epoch: [2][3240/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.4591 (4.7079) Prec@1 12.109 (11.304) Prec@5 33.203 (28.528)
Epoch: [2][3250/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 4.2681 (4.7072) Prec@1 16.406 (11.312) Prec@5 35.156 (28.542)
Epoch: [2][3260/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 4.6252 (4.7064) Prec@1 11.719 (11.324) Prec@5 30.469 (28.558)
Epoch: [2][3270/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.6634 (4.7059) Prec@1 7.812 (11.327) Prec@5 26.562 (28.565)
Epoch: [2][3280/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.4472 (4.7053) Prec@1 16.406 (11.334) Prec@5 33.984 (28.576)
Epoch: [2][3290/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.6020 (4.7046) Prec@1 14.844 (11.343) Prec@5 32.031 (28.591)
Epoch: [2][3300/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.6109 (4.7040) Prec@1 10.547 (11.350) Prec@5 28.125 (28.603)
Epoch: [2][3310/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.4234 (4.7034) Prec@1 15.234 (11.355) Prec@5 31.641 (28.614)
Epoch: [2][3320/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.6222 (4.7027) Prec@1 12.109 (11.361) Prec@5 30.859 (28.627)
Epoch: [2][3330/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.3489 (4.7021) Prec@1 12.891 (11.365) Prec@5 33.984 (28.639)
Epoch: [2][3340/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.4038 (4.7014) Prec@1 17.188 (11.375) Prec@5 35.547 (28.655)
Epoch: [2][3350/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.4820 (4.7006) Prec@1 14.453 (11.385) Prec@5 30.078 (28.669)
Epoch: [2][3360/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.3168 (4.6998) Prec@1 17.969 (11.396) Prec@5 36.328 (28.688)
Epoch: [2][3370/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.7092 (4.6991) Prec@1 14.453 (11.406) Prec@5 28.906 (28.701)
Epoch: [2][3380/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 4.6102 (4.6985) Prec@1 13.281 (11.414) Prec@5 31.250 (28.712)
Epoch: [2][3390/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.5000 (4.6979) Prec@1 14.453 (11.420) Prec@5 33.203 (28.724)
Epoch: [2][3400/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.4110 (4.6970) Prec@1 14.453 (11.428) Prec@5 37.109 (28.741)
Epoch: [2][3410/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 4.4716 (4.6962) Prec@1 15.625 (11.435) Prec@5 35.156 (28.758)
Epoch: [2][3420/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.5185 (4.6955) Prec@1 12.891 (11.442) Prec@5 32.031 (28.774)
Epoch: [2][3430/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.5270 (4.6948) Prec@1 13.672 (11.447) Prec@5 33.984 (28.787)
Epoch: [2][3440/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 4.5332 (4.6942) Prec@1 12.500 (11.451) Prec@5 33.984 (28.800)
Epoch: [2][3450/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.6016 (4.6938) Prec@1 14.844 (11.456) Prec@5 33.594 (28.810)
Epoch: [2][3460/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.1100 (4.6930) Prec@1 21.875 (11.466) Prec@5 42.969 (28.827)
Epoch: [2][3470/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.5710 (4.6921) Prec@1 14.453 (11.476) Prec@5 32.031 (28.843)
Epoch: [2][3480/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.4460 (4.6913) Prec@1 14.453 (11.485) Prec@5 34.766 (28.859)
Epoch: [2][3490/5005] Time 0.615 (0.614) Data 0.001 (0.002) Loss 4.5593 (4.6908) Prec@1 12.109 (11.489) Prec@5 30.859 (28.868)
Epoch: [2][3500/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 4.3516 (4.6902) Prec@1 16.016 (11.496) Prec@5 36.719 (28.880)
Epoch: [2][3510/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 4.2331 (4.6895) Prec@1 17.188 (11.504) Prec@5 39.453 (28.891)
Epoch: [2][3520/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 4.3339 (4.6887) Prec@1 14.453 (11.516) Prec@5 33.594 (28.906)
Epoch: [2][3530/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.2644 (4.6879) Prec@1 14.062 (11.527) Prec@5 35.547 (28.922)
Epoch: [2][3540/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 4.5719 (4.6874) Prec@1 12.891 (11.533) Prec@5 30.469 (28.934)
Epoch: [2][3550/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 4.3213 (4.6867) Prec@1 15.625 (11.540) Prec@5 37.109 (28.945)
Epoch: [2][3560/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 4.6027 (4.6861) Prec@1 11.719 (11.545) Prec@5 30.469 (28.956)
Epoch: [2][3570/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.5478 (4.6855) Prec@1 12.109 (11.553) Prec@5 33.203 (28.969)
Epoch: [2][3580/5005] Time 0.618 (0.614) Data 0.001 (0.002) Loss 4.4850 (4.6848) Prec@1 11.328 (11.561) Prec@5 32.422 (28.980)
Epoch: [2][3590/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 4.4621 (4.6843) Prec@1 16.016 (11.569) Prec@5 33.984 (28.991)
Epoch: [2][3600/5005] Time 0.618 (0.614) Data 0.001 (0.002) Loss 4.6219 (4.6837) Prec@1 12.109 (11.576) Prec@5 31.250 (29.002)
Epoch: [2][3610/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 4.2170 (4.6829) Prec@1 13.672 (11.585) Prec@5 37.891 (29.018)
Epoch: [2][3620/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 4.3803 (4.6822) Prec@1 12.891 (11.591) Prec@5 33.984 (29.036)
Epoch: [2][3630/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 4.5459 (4.6813) Prec@1 14.453 (11.602) Prec@5 32.812 (29.053)
Epoch: [2][3640/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 4.5303 (4.6809) Prec@1 17.969 (11.609) Prec@5 33.203 (29.061)
Epoch: [2][3650/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 4.3824 (4.6802) Prec@1 12.109 (11.615) Prec@5 29.297 (29.072)
Epoch: [2][3660/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 4.4382 (4.6798) Prec@1 13.281 (11.618) Prec@5 34.766 (29.079)
Epoch: [2][3670/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 4.4349 (4.6792) Prec@1 14.062 (11.625) Prec@5 34.375 (29.089)
Epoch: [2][3680/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 4.4649 (4.6783) Prec@1 14.453 (11.636) Prec@5 33.594 (29.106)
Epoch: [2][3690/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.3651 (4.6775) Prec@1 11.719 (11.642) Prec@5 32.812 (29.119)
Epoch: [2][3700/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 4.4308 (4.6768) Prec@1 12.500 (11.649) Prec@5 30.078 (29.130)
Epoch: [2][3710/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 4.7351 (4.6763) Prec@1 10.547 (11.655) Prec@5 28.906 (29.142)
Epoch: [2][3720/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 4.4469 (4.6755) Prec@1 12.891 (11.659) Prec@5 32.812 (29.155)
Epoch: [2][3730/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 4.3180 (4.6750) Prec@1 15.625 (11.663) Prec@5 36.328 (29.166)
Epoch: [2][3740/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 4.4771 (4.6746) Prec@1 14.844 (11.668) Prec@5 34.766 (29.177)
Epoch: [2][3750/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 4.2700 (4.6739) Prec@1 19.531 (11.675) Prec@5 36.328 (29.191)
Epoch: [2][3760/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.2420 (4.6731) Prec@1 15.625 (11.685) Prec@5 35.156 (29.206)
Epoch: [2][3770/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.3769 (4.6725) Prec@1 11.719 (11.690) Prec@5 32.812 (29.215)
Epoch: [2][3780/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 4.5398 (4.6719) Prec@1 13.281 (11.697) Prec@5 30.078 (29.227)
Epoch: [2][3790/5005] Time 0.606 (0.614) Data 0.001 (0.002) Loss 4.3120 (4.6713) Prec@1 10.938 (11.704) Prec@5 34.766 (29.238)
Epoch: [2][3800/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 4.3352 (4.6706) Prec@1 14.844 (11.712) Prec@5 35.547 (29.252)
Epoch: [2][3810/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 4.5294 (4.6699) Prec@1 12.109 (11.722) Prec@5 29.297 (29.266)
Epoch: [2][3820/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 4.6599 (4.6692) Prec@1 11.328 (11.731) Prec@5 26.953 (29.278)
Epoch: [2][3830/5005] Time 0.617 (0.614) Data 0.001 (0.002) Loss 4.2519 (4.6687) Prec@1 16.016 (11.735) Prec@5 33.984 (29.290)
Epoch: [2][3840/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 4.3228 (4.6681) Prec@1 14.453 (11.742) Prec@5 37.500 (29.301)
Epoch: [2][3850/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.3246 (4.6673) Prec@1 14.062 (11.751) Prec@5 35.938 (29.314)
Epoch: [2][3860/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 4.4824 (4.6665) Prec@1 10.156 (11.757) Prec@5 30.469 (29.326)
Epoch: [2][3870/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 4.4093 (4.6658) Prec@1 16.016 (11.765) Prec@5 32.812 (29.339)
Epoch: [2][3880/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 4.1757 (4.6650) Prec@1 19.141 (11.777) Prec@5 41.406 (29.356)
Epoch: [2][3890/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 4.4421 (4.6642) Prec@1 16.016 (11.785) Prec@5 30.469 (29.368)
Epoch: [2][3900/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 4.3640 (4.6635) Prec@1 14.844 (11.794) Prec@5 37.891 (29.386)
Epoch: [2][3910/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.1845 (4.6628) Prec@1 16.406 (11.801) Prec@5 36.719 (29.398)
Epoch: [2][3920/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 4.2697 (4.6620) Prec@1 16.406 (11.811) Prec@5 36.328 (29.413)
Epoch: [2][3930/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.4916 (4.6612) Prec@1 15.625 (11.820) Prec@5 33.203 (29.427)
Epoch: [2][3940/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 4.3984 (4.6604) Prec@1 15.625 (11.828) Prec@5 34.375 (29.443)
Epoch: [2][3950/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.2975 (4.6598) Prec@1 16.016 (11.836) Prec@5 38.672 (29.455)
Epoch: [2][3960/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 4.3471 (4.6590) Prec@1 16.797 (11.843) Prec@5 32.031 (29.469)
Epoch: [2][3970/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 4.2733 (4.6582) Prec@1 13.281 (11.853) Prec@5 38.281 (29.486)
Epoch: [2][3980/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 4.3304 (4.6574) Prec@1 12.891 (11.860) Prec@5 37.500 (29.503)
Epoch: [2][3990/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.2593 (4.6566) Prec@1 15.625 (11.869) Prec@5 37.891 (29.516)
Epoch: [2][4000/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.2891 (4.6560) Prec@1 16.016 (11.877) Prec@5 36.719 (29.527)
Epoch: [2][4010/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.2233 (4.6551) Prec@1 16.797 (11.887) Prec@5 37.500 (29.545)
Epoch: [2][4020/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.2475 (4.6544) Prec@1 14.062 (11.895) Prec@5 37.891 (29.559)
Epoch: [2][4030/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 4.3094 (4.6537) Prec@1 16.797 (11.901) Prec@5 34.375 (29.573)
Epoch: [2][4040/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.2196 (4.6530) Prec@1 18.359 (11.909) Prec@5 39.453 (29.585)
Epoch: [2][4050/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.1143 (4.6524) Prec@1 18.359 (11.916) Prec@5 35.547 (29.598)
Epoch: [2][4060/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 4.5600 (4.6518) Prec@1 12.500 (11.926) Prec@5 32.031 (29.613)
Epoch: [2][4070/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 4.1776 (4.6512) Prec@1 15.625 (11.932) Prec@5 38.672 (29.627)
Epoch: [2][4080/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.4735 (4.6505) Prec@1 10.156 (11.940) Prec@5 31.250 (29.639)
Epoch: [2][4090/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 4.3213 (4.6501) Prec@1 15.625 (11.946) Prec@5 37.500 (29.648)
Epoch: [2][4100/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 4.5904 (4.6493) Prec@1 16.016 (11.954) Prec@5 29.297 (29.660)
Epoch: [2][4110/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 4.2392 (4.6485) Prec@1 16.406 (11.963) Prec@5 37.500 (29.676)
Epoch: [2][4120/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 4.1517 (4.6479) Prec@1 16.406 (11.969) Prec@5 40.234 (29.690)
Epoch: [2][4130/5005] Time 0.601 (0.614) Data 0.001 (0.001) Loss 3.9768 (4.6472) Prec@1 19.922 (11.978) Prec@5 38.672 (29.703)
Epoch: [2][4140/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.4604 (4.6464) Prec@1 17.969 (11.987) Prec@5 37.109 (29.719)
Epoch: [2][4150/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.4620 (4.6459) Prec@1 17.188 (11.992) Prec@5 34.766 (29.728)
Epoch: [2][4160/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.3894 (4.6452) Prec@1 14.062 (11.998) Prec@5 35.938 (29.742)
Epoch: [2][4170/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.1488 (4.6444) Prec@1 21.875 (12.006) Prec@5 40.234 (29.758)
Epoch: [2][4180/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 4.1831 (4.6437) Prec@1 14.844 (12.013) Prec@5 38.672 (29.771)
Epoch: [2][4190/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.3465 (4.6430) Prec@1 14.453 (12.022) Prec@5 32.812 (29.788)
Epoch: [2][4200/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.4030 (4.6424) Prec@1 13.672 (12.030) Prec@5 36.328 (29.800)
Epoch: [2][4210/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.3325 (4.6416) Prec@1 15.234 (12.039) Prec@5 32.031 (29.816)
Epoch: [2][4220/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 4.3818 (4.6412) Prec@1 13.281 (12.044) Prec@5 37.109 (29.825)
Epoch: [2][4230/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.4644 (4.6407) Prec@1 16.406 (12.049) Prec@5 32.031 (29.834)
Epoch: [2][4240/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.6835 (4.6402) Prec@1 12.891 (12.052) Prec@5 29.297 (29.840)
Epoch: [2][4250/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 4.1595 (4.6393) Prec@1 18.750 (12.064) Prec@5 39.844 (29.854)
Epoch: [2][4260/5005] Time 0.614 (0.614) Data 0.001 (0.001) Loss 4.5650 (4.6388) Prec@1 11.328 (12.071) Prec@5 27.344 (29.864)
Epoch: [2][4270/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.3390 (4.6382) Prec@1 16.406 (12.079) Prec@5 35.156 (29.876)
Epoch: [2][4280/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.6735 (4.6375) Prec@1 12.891 (12.086) Prec@5 31.641 (29.890)
Epoch: [2][4290/5005] Time 0.599 (0.614) Data 0.000 (0.001) Loss 4.5574 (4.6369) Prec@1 14.844 (12.095) Prec@5 31.250 (29.903)
Epoch: [2][4300/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 4.5674 (4.6362) Prec@1 14.453 (12.103) Prec@5 34.766 (29.920)
Epoch: [2][4310/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.4113 (4.6355) Prec@1 15.625 (12.108) Prec@5 33.984 (29.933)
Epoch: [2][4320/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.2462 (4.6347) Prec@1 17.578 (12.118) Prec@5 34.375 (29.946)
Epoch: [2][4330/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.0887 (4.6339) Prec@1 22.656 (12.128) Prec@5 41.797 (29.962)
Epoch: [2][4340/5005] Time 0.611 (0.614) Data 0.001 (0.001) Loss 4.4874 (4.6332) Prec@1 9.375 (12.135) Prec@5 34.766 (29.978)
Epoch: [2][4350/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 4.3945 (4.6325) Prec@1 16.797 (12.143) Prec@5 35.547 (29.991)
Epoch: [2][4360/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.1248 (4.6319) Prec@1 19.141 (12.148) Prec@5 40.625 (30.002)
Epoch: [2][4370/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.5355 (4.6315) Prec@1 15.234 (12.155) Prec@5 32.812 (30.008)
Epoch: [2][4380/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 4.3220 (4.6308) Prec@1 14.062 (12.162) Prec@5 33.203 (30.019)
Epoch: [2][4390/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.3254 (4.6303) Prec@1 18.750 (12.168) Prec@5 37.891 (30.028)
Epoch: [2][4400/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 4.3553 (4.6295) Prec@1 14.062 (12.177) Prec@5 35.938 (30.043)
Epoch: [2][4410/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 4.3795 (4.6288) Prec@1 13.672 (12.185) Prec@5 35.156 (30.059)
Epoch: [2][4420/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.0546 (4.6279) Prec@1 18.359 (12.197) Prec@5 40.234 (30.078)
Epoch: [2][4430/5005] Time 0.614 (0.614) Data 0.001 (0.001) Loss 4.4027 (4.6273) Prec@1 14.844 (12.202) Prec@5 34.766 (30.090)
Epoch: [2][4440/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.3815 (4.6266) Prec@1 13.672 (12.209) Prec@5 33.984 (30.103)
Epoch: [2][4450/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.2111 (4.6261) Prec@1 16.016 (12.214) Prec@5 36.719 (30.110)
Epoch: [2][4460/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.3410 (4.6255) Prec@1 15.625 (12.221) Prec@5 32.031 (30.120)
Epoch: [2][4470/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 4.4706 (4.6248) Prec@1 15.234 (12.229) Prec@5 32.812 (30.133)
Epoch: [2][4480/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 4.4503 (4.6241) Prec@1 12.891 (12.237) Prec@5 33.984 (30.148)
Epoch: [2][4490/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 4.3857 (4.6235) Prec@1 16.406 (12.242) Prec@5 34.766 (30.161)
Epoch: [2][4500/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 4.3219 (4.6228) Prec@1 15.234 (12.250) Prec@5 37.891 (30.174)
Epoch: [2][4510/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.5656 (4.6222) Prec@1 10.938 (12.256) Prec@5 32.031 (30.186)
Epoch: [2][4520/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.2672 (4.6215) Prec@1 13.281 (12.260) Prec@5 34.766 (30.197)
Epoch: [2][4530/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 4.2815 (4.6208) Prec@1 15.234 (12.266) Prec@5 37.500 (30.211)
Epoch: [2][4540/5005] Time 0.619 (0.614) Data 0.001 (0.001) Loss 4.5265 (4.6203) Prec@1 11.328 (12.275) Prec@5 30.469 (30.220)
Epoch: [2][4550/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 4.5330 (4.6197) Prec@1 14.453 (12.281) Prec@5 32.812 (30.230)
Epoch: [2][4560/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.2706 (4.6190) Prec@1 14.062 (12.289) Prec@5 34.375 (30.242)
Epoch: [2][4570/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.1607 (4.6183) Prec@1 13.672 (12.296) Prec@5 39.062 (30.256)
Epoch: [2][4580/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.5699 (4.6177) Prec@1 14.453 (12.305) Prec@5 30.859 (30.269)
Epoch: [2][4590/5005] Time 0.611 (0.614) Data 0.001 (0.001) Loss 4.2294 (4.6171) Prec@1 16.406 (12.312) Prec@5 39.062 (30.280)
Epoch: [2][4600/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 4.4025 (4.6166) Prec@1 15.625 (12.317) Prec@5 34.766 (30.291)
Epoch: [2][4610/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.3325 (4.6159) Prec@1 13.672 (12.324) Prec@5 33.203 (30.305)
Epoch: [2][4620/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.5251 (4.6152) Prec@1 14.453 (12.331) Prec@5 32.031 (30.318)
Epoch: [2][4630/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.4352 (4.6146) Prec@1 13.281 (12.337) Prec@5 33.594 (30.327)
Epoch: [2][4640/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 4.3213 (4.6140) Prec@1 17.188 (12.344) Prec@5 34.766 (30.338)
Epoch: [2][4650/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.6900 (4.6136) Prec@1 10.547 (12.350) Prec@5 30.078 (30.346)
Epoch: [2][4660/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.2076 (4.6129) Prec@1 17.188 (12.357) Prec@5 37.500 (30.359)
Epoch: [2][4670/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.1100 (4.6122) Prec@1 17.969 (12.364) Prec@5 42.188 (30.376)
Epoch: [2][4680/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 4.2853 (4.6116) Prec@1 16.406 (12.369) Prec@5 35.938 (30.388)
Epoch: [2][4690/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 4.3553 (4.6110) Prec@1 17.578 (12.374) Prec@5 34.375 (30.397)
Epoch: [2][4700/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 4.2044 (4.6104) Prec@1 17.578 (12.380) Prec@5 36.719 (30.411)
Epoch: [2][4710/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 4.2317 (4.6097) Prec@1 17.969 (12.386) Prec@5 38.672 (30.421)
Epoch: [2][4720/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 4.3699 (4.6092) Prec@1 14.844 (12.391) Prec@5 34.766 (30.431)
Epoch: [2][4730/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 4.1393 (4.6086) Prec@1 16.406 (12.398) Prec@5 40.625 (30.442)
Epoch: [2][4740/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 4.3202 (4.6079) Prec@1 16.016 (12.405) Prec@5 33.594 (30.453)
Epoch: [2][4750/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.1845 (4.6073) Prec@1 16.797 (12.412) Prec@5 39.453 (30.467)
Epoch: [2][4760/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 4.5637 (4.6067) Prec@1 14.844 (12.419) Prec@5 35.547 (30.479)
Epoch: [2][4770/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 4.1637 (4.6059) Prec@1 20.703 (12.429) Prec@5 38.281 (30.495)
Epoch: [2][4780/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.1536 (4.6052) Prec@1 14.062 (12.436) Prec@5 40.234 (30.508)
Epoch: [2][4790/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 4.1470 (4.6045) Prec@1 16.797 (12.445) Prec@5 35.938 (30.520)
Epoch: [2][4800/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.0664 (4.6037) Prec@1 17.969 (12.454) Prec@5 38.672 (30.535)
Epoch: [2][4810/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.9864 (4.6032) Prec@1 18.750 (12.459) Prec@5 43.359 (30.546)
Epoch: [2][4820/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.1912 (4.6025) Prec@1 14.453 (12.466) Prec@5 35.938 (30.559)
Epoch: [2][4830/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 4.3188 (4.6019) Prec@1 16.797 (12.472) Prec@5 33.203 (30.568)
Epoch: [2][4840/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 4.3000 (4.6011) Prec@1 15.234 (12.481) Prec@5 38.281 (30.583)
Epoch: [2][4850/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.3229 (4.6005) Prec@1 14.844 (12.489) Prec@5 34.766 (30.595)
Epoch: [2][4860/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 4.3218 (4.5999) Prec@1 15.234 (12.495) Prec@5 33.203 (30.607)
Epoch: [2][4870/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 4.3315 (4.5993) Prec@1 14.062 (12.501) Prec@5 40.625 (30.619)
Epoch: [2][4880/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 4.2437 (4.5987) Prec@1 12.891 (12.506) Prec@5 33.203 (30.627)
Epoch: [2][4890/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 4.0882 (4.5981) Prec@1 21.094 (12.512) Prec@5 43.750 (30.639)
Epoch: [2][4900/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.3466 (4.5975) Prec@1 16.406 (12.519) Prec@5 34.766 (30.652)
Epoch: [2][4910/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.3380 (4.5968) Prec@1 14.062 (12.523) Prec@5 34.766 (30.661)
Epoch: [2][4920/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 4.2741 (4.5963) Prec@1 16.406 (12.529) Prec@5 37.500 (30.672)
Epoch: [2][4930/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.4538 (4.5956) Prec@1 16.016 (12.539) Prec@5 35.156 (30.687)
Epoch: [2][4940/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 4.2657 (4.5949) Prec@1 17.578 (12.548) Prec@5 37.109 (30.698)
Epoch: [2][4950/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 4.2980 (4.5943) Prec@1 14.844 (12.556) Prec@5 36.719 (30.711)
Epoch: [2][4960/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 4.3639 (4.5938) Prec@1 18.359 (12.563) Prec@5 35.156 (30.723)
Epoch: [2][4970/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 4.2662 (4.5930) Prec@1 17.969 (12.572) Prec@5 38.672 (30.737)
Epoch: [2][4980/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 4.1476 (4.5925) Prec@1 16.016 (12.580) Prec@5 37.891 (30.750)
Epoch: [2][4990/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.2911 (4.5918) Prec@1 17.188 (12.588) Prec@5 39.453 (30.764)
Epoch: [2][5000/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 4.2572 (4.5912) Prec@1 17.578 (12.596) Prec@5 36.719 (30.776)
Test: [0/196] Time 5.252 (5.252) Loss 2.6313 (2.6313) Prec@1 40.625 (40.625) Prec@5 73.828 (73.828)
Test: [10/196] Time 0.202 (0.667) Loss 3.9655 (3.3183) Prec@1 17.188 (28.729) Prec@5 42.969 (55.256)
Test: [20/196] Time 0.202 (0.446) Loss 3.2156 (3.3487) Prec@1 37.891 (27.902) Prec@5 53.125 (54.911)
Test: [30/196] Time 0.202 (0.368) Loss 3.2888 (3.2428) Prec@1 18.359 (29.725) Prec@5 48.438 (56.628)
Test: [40/196] Time 0.207 (0.328) Loss 3.5907 (3.3267) Prec@1 17.969 (26.620) Prec@5 41.406 (53.620)
Test: [50/196] Time 0.205 (0.304) Loss 3.1301 (3.2891) Prec@1 28.125 (26.348) Prec@5 57.031 (54.404)
Test: [60/196] Time 0.201 (0.288) Loss 3.8013 (3.2993) Prec@1 18.750 (25.852) Prec@5 41.406 (53.996)
Test: [70/196] Time 0.202 (0.276) Loss 3.8139 (3.3173) Prec@1 18.750 (25.770) Prec@5 43.750 (53.516)
Test: [80/196] Time 0.202 (0.268) Loss 4.5791 (3.3191) Prec@1 9.375 (26.061) Prec@5 34.375 (53.583)
Test: [90/196] Time 0.208 (0.261) Loss 5.1118 (3.4133) Prec@1 6.250 (25.060) Prec@5 19.531 (51.807)
Test: [100/196] Time 0.210 (0.255) Loss 4.8373 (3.4894) Prec@1 8.203 (24.296) Prec@5 26.172 (50.499)
Test: [110/196] Time 0.203 (0.250) Loss 3.6125 (3.5270) Prec@1 33.203 (24.096) Prec@5 50.781 (49.916)
Test: [120/196] Time 0.202 (0.247) Loss 4.7101 (3.5739) Prec@1 14.453 (23.893) Prec@5 30.859 (49.274)
Test: [130/196] Time 0.204 (0.243) Loss 3.8570 (3.6028) Prec@1 18.359 (23.491) Prec@5 46.484 (48.915)
Test: [140/196] Time 0.201 (0.241) Loss 3.8803 (3.6349) Prec@1 20.703 (23.194) Prec@5 45.703 (48.293)
Test: [150/196] Time 0.203 (0.238) Loss 4.3150 (3.6821) Prec@1 18.359 (22.876) Prec@5 32.812 (47.457)
Test: [160/196] Time 0.203 (0.236) Loss 3.9209 (3.7038) Prec@1 19.922 (22.693) Prec@5 42.969 (47.183)
Test: [170/196] Time 0.202 (0.234) Loss 2.7299 (3.7255) Prec@1 45.312 (22.469) Prec@5 66.797 (46.743)
Test: [180/196] Time 0.203 (0.233) Loss 3.1261 (3.7373) Prec@1 22.266 (22.421) Prec@5 62.500 (46.575)
Test: [190/196] Time 0.201 (0.231) Loss 2.5510 (3.7203) Prec@1 41.406 (22.675) Prec@5 73.438 (46.992)
* Prec@1 23.052 Prec@5 47.348
Epoch: [3][0/5005] Time 4.791 (4.791) Data 4.527 (4.527) Loss 4.3537 (4.3537) Prec@1 16.797 (16.797) Prec@5 33.594 (33.594)
Epoch: [3][10/5005] Time 0.610 (0.991) Data 0.000 (0.412) Loss 4.3152 (4.2511) Prec@1 13.672 (17.188) Prec@5 35.156 (37.855)
Epoch: [3][20/5005] Time 0.621 (0.809) Data 0.000 (0.216) Loss 4.3011 (4.2436) Prec@1 12.109 (17.076) Prec@5 35.547 (37.984)
Epoch: [3][30/5005] Time 0.604 (0.746) Data 0.000 (0.146) Loss 4.5175 (4.2554) Prec@1 12.891 (17.011) Prec@5 30.078 (37.689)
Epoch: [3][40/5005] Time 0.614 (0.714) Data 0.000 (0.111) Loss 4.3662 (4.2588) Prec@1 12.891 (16.787) Prec@5 37.500 (37.595)
Epoch: [3][50/5005] Time 0.605 (0.694) Data 0.000 (0.089) Loss 3.9860 (4.2569) Prec@1 18.359 (16.644) Prec@5 41.406 (37.446)
Epoch: [3][60/5005] Time 0.607 (0.681) Data 0.000 (0.075) Loss 4.1896 (4.2611) Prec@1 14.453 (16.470) Prec@5 39.844 (37.449)
Epoch: [3][70/5005] Time 0.617 (0.671) Data 0.000 (0.064) Loss 4.1857 (4.2485) Prec@1 17.578 (16.599) Prec@5 38.281 (37.720)
Epoch: [3][80/5005] Time 0.607 (0.664) Data 0.000 (0.056) Loss 4.1565 (4.2449) Prec@1 18.359 (16.686) Prec@5 38.672 (37.770)
Epoch: [3][90/5005] Time 0.614 (0.658) Data 0.000 (0.050) Loss 4.3846 (4.2475) Prec@1 13.281 (16.647) Prec@5 33.984 (37.659)
Epoch: [3][100/5005] Time 0.617 (0.654) Data 0.000 (0.045) Loss 4.1892 (4.2422) Prec@1 18.359 (16.735) Prec@5 37.500 (37.717)
Epoch: [3][110/5005] Time 0.607 (0.650) Data 0.000 (0.041) Loss 4.1878 (4.2377) Prec@1 15.234 (16.719) Prec@5 37.891 (37.810)
Epoch: [3][120/5005] Time 0.611 (0.647) Data 0.000 (0.038) Loss 4.2055 (4.2376) Prec@1 21.484 (16.710) Prec@5 41.797 (37.852)
Epoch: [3][130/5005] Time 0.613 (0.644) Data 0.000 (0.035) Loss 4.1929 (4.2339) Prec@1 17.188 (16.755) Prec@5 37.500 (37.897)
Epoch: [3][140/5005] Time 0.610 (0.642) Data 0.000 (0.033) Loss 4.2075 (4.2331) Prec@1 16.016 (16.689) Prec@5 42.188 (37.952)
Epoch: [3][150/5005] Time 0.615 (0.640) Data 0.000 (0.030) Loss 4.1726 (4.2338) Prec@1 18.750 (16.678) Prec@5 37.891 (37.839)
Epoch: [3][160/5005] Time 0.607 (0.639) Data 0.000 (0.029) Loss 4.1413 (4.2310) Prec@1 16.406 (16.734) Prec@5 44.922 (37.905)
Epoch: [3][170/5005] Time 0.608 (0.637) Data 0.000 (0.027) Loss 4.0334 (4.2306) Prec@1 17.969 (16.756) Prec@5 40.625 (37.945)
Epoch: [3][180/5005] Time 0.610 (0.636) Data 0.000 (0.025) Loss 4.3056 (4.2300) Prec@1 14.844 (16.808) Prec@5 34.766 (38.011)
Epoch: [3][190/5005] Time 0.620 (0.635) Data 0.000 (0.024) Loss 4.2011 (4.2300) Prec@1 18.359 (16.768) Prec@5 37.891 (37.956)
Epoch: [3][200/5005] Time 0.619 (0.634) Data 0.000 (0.023) Loss 4.2103 (4.2317) Prec@1 19.531 (16.783) Prec@5 37.109 (37.895)
Epoch: [3][210/5005] Time 0.597 (0.633) Data 0.000 (0.022) Loss 4.4228 (4.2316) Prec@1 17.188 (16.786) Prec@5 36.328 (37.946)
Epoch: [3][220/5005] Time 0.616 (0.632) Data 0.001 (0.021) Loss 4.2328 (4.2257) Prec@1 14.844 (16.853) Prec@5 34.766 (38.023)
Epoch: [3][230/5005] Time 0.600 (0.631) Data 0.000 (0.020) Loss 4.1244 (4.2261) Prec@1 14.844 (16.797) Prec@5 39.844 (38.028)
Epoch: [3][240/5005] Time 0.615 (0.631) Data 0.000 (0.019) Loss 4.2572 (4.2252) Prec@1 16.016 (16.837) Prec@5 32.422 (38.001)
Epoch: [3][250/5005] Time 0.620 (0.630) Data 0.000 (0.018) Loss 4.1448 (4.2230) Prec@1 17.188 (16.847) Prec@5 38.672 (38.010)
Epoch: [3][260/5005] Time 0.609 (0.629) Data 0.000 (0.018) Loss 4.3431 (4.2224) Prec@1 15.625 (16.846) Prec@5 29.688 (37.971)
Epoch: [3][270/5005] Time 0.617 (0.629) Data 0.000 (0.017) Loss 4.0938 (4.2186) Prec@1 16.016 (16.896) Prec@5 40.625 (38.056)
Epoch: [3][280/5005] Time 0.603 (0.628) Data 0.000 (0.017) Loss 4.3944 (4.2196) Prec@1 12.109 (16.852) Prec@5 34.375 (38.020)
Epoch: [3][290/5005] Time 0.620 (0.628) Data 0.000 (0.016) Loss 4.2234 (4.2205) Prec@1 14.062 (16.849) Prec@5 36.719 (37.979)
Epoch: [3][300/5005] Time 0.624 (0.627) Data 0.000 (0.015) Loss 4.3556 (4.2195) Prec@1 16.406 (16.854) Prec@5 37.109 (37.967)
Epoch: [3][310/5005] Time 0.618 (0.627) Data 0.000 (0.015) Loss 4.2353 (4.2204) Prec@1 12.500 (16.842) Prec@5 34.766 (37.965)
Epoch: [3][320/5005] Time 0.613 (0.626) Data 0.000 (0.015) Loss 4.0658 (4.2196) Prec@1 16.406 (16.850) Prec@5 39.844 (37.996)
Epoch: [3][330/5005] Time 0.614 (0.626) Data 0.000 (0.014) Loss 4.4117 (4.2192) Prec@1 12.891 (16.851) Prec@5 35.156 (38.016)
Epoch: [3][340/5005] Time 0.616 (0.626) Data 0.000 (0.014) Loss 4.1325 (4.2187) Prec@1 14.062 (16.847) Prec@5 39.062 (38.050)
Epoch: [3][350/5005] Time 0.621 (0.625) Data 0.000 (0.013) Loss 4.3517 (4.2191) Prec@1 11.328 (16.831) Prec@5 33.984 (38.041)
Epoch: [3][360/5005] Time 0.610 (0.625) Data 0.000 (0.013) Loss 4.1198 (4.2197) Prec@1 14.844 (16.829) Prec@5 41.797 (38.035)
Epoch: [3][370/5005] Time 0.619 (0.625) Data 0.000 (0.013) Loss 4.2451 (4.2172) Prec@1 16.797 (16.866) Prec@5 34.766 (38.069)
Epoch: [3][380/5005] Time 0.614 (0.625) Data 0.000 (0.012) Loss 4.2362 (4.2171) Prec@1 15.234 (16.856) Prec@5 37.500 (38.074)
Epoch: [3][390/5005] Time 0.613 (0.624) Data 0.000 (0.012) Loss 4.3447 (4.2184) Prec@1 14.062 (16.849) Prec@5 37.891 (38.067)
Epoch: [3][400/5005] Time 0.616 (0.624) Data 0.000 (0.012) Loss 4.1741 (4.2173) Prec@1 18.359 (16.872) Prec@5 38.672 (38.076)
Epoch: [3][410/5005] Time 0.619 (0.624) Data 0.000 (0.011) Loss 3.9478 (4.2172) Prec@1 19.141 (16.861) Prec@5 39.453 (38.057)
Epoch: [3][420/5005] Time 0.618 (0.624) Data 0.000 (0.011) Loss 4.1055 (4.2181) Prec@1 17.578 (16.849) Prec@5 41.797 (38.031)
Epoch: [3][430/5005] Time 0.618 (0.623) Data 0.000 (0.011) Loss 4.2865 (4.2175) Prec@1 17.969 (16.847) Prec@5 35.547 (38.063)
Epoch: [3][440/5005] Time 0.609 (0.623) Data 0.000 (0.011) Loss 4.1257 (4.2171) Prec@1 18.359 (16.844) Prec@5 37.500 (38.049)
Epoch: [3][450/5005] Time 0.614 (0.623) Data 0.001 (0.010) Loss 4.4489 (4.2175) Prec@1 15.625 (16.866) Prec@5 38.281 (38.067)
Epoch: [3][460/5005] Time 0.613 (0.623) Data 0.000 (0.010) Loss 4.3126 (4.2181) Prec@1 16.406 (16.864) Prec@5 37.109 (38.090)
Epoch: [3][470/5005] Time 0.615 (0.622) Data 0.000 (0.010) Loss 4.0530 (4.2187) Prec@1 17.578 (16.844) Prec@5 38.281 (38.092)
Epoch: [3][480/5005] Time 0.614 (0.622) Data 0.000 (0.010) Loss 4.1724 (4.2196) Prec@1 18.359 (16.848) Prec@5 41.016 (38.079)
Epoch: [3][490/5005] Time 0.616 (0.622) Data 0.000 (0.010) Loss 4.4000 (4.2203) Prec@1 13.281 (16.837) Prec@5 35.156 (38.074)
Epoch: [3][500/5005] Time 0.617 (0.622) Data 0.000 (0.009) Loss 4.2409 (4.2187) Prec@1 13.281 (16.851) Prec@5 39.844 (38.117)
Epoch: [3][510/5005] Time 0.613 (0.622) Data 0.000 (0.009) Loss 4.1148 (4.2194) Prec@1 15.625 (16.850) Prec@5 39.844 (38.108)
Epoch: [3][520/5005] Time 0.622 (0.622) Data 0.000 (0.009) Loss 3.9080 (4.2191) Prec@1 21.484 (16.852) Prec@5 47.656 (38.105)
Epoch: [3][530/5005] Time 0.610 (0.621) Data 0.000 (0.009) Loss 4.2890 (4.2191) Prec@1 19.141 (16.848) Prec@5 39.844 (38.111)
Epoch: [3][540/5005] Time 0.614 (0.621) Data 0.001 (0.009) Loss 4.1144 (4.2197) Prec@1 15.234 (16.827) Prec@5 36.719 (38.082)
Epoch: [3][550/5005] Time 0.610 (0.621) Data 0.000 (0.009) Loss 4.1079 (4.2189) Prec@1 17.188 (16.845) Prec@5 37.500 (38.104)
Epoch: [3][560/5005] Time 0.608 (0.621) Data 0.000 (0.009) Loss 4.3399 (4.2197) Prec@1 14.844 (16.837) Prec@5 36.328 (38.086)
Epoch: [3][570/5005] Time 0.605 (0.621) Data 0.000 (0.008) Loss 4.0383 (4.2193) Prec@1 17.188 (16.840) Prec@5 38.281 (38.081)
Epoch: [3][580/5005] Time 0.608 (0.621) Data 0.000 (0.008) Loss 4.2073 (4.2181) Prec@1 13.281 (16.862) Prec@5 35.938 (38.097)
Epoch: [3][590/5005] Time 0.615 (0.621) Data 0.000 (0.008) Loss 4.2030 (4.2169) Prec@1 19.141 (16.878) Prec@5 41.406 (38.121)
Epoch: [3][600/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 4.0701 (4.2159) Prec@1 18.750 (16.883) Prec@5 38.281 (38.130)
Epoch: [3][610/5005] Time 0.612 (0.620) Data 0.001 (0.008) Loss 4.1082 (4.2153) Prec@1 18.750 (16.902) Prec@5 42.188 (38.137)
Epoch: [3][620/5005] Time 0.620 (0.620) Data 0.000 (0.008) Loss 4.0157 (4.2138) Prec@1 18.359 (16.931) Prec@5 39.844 (38.167)
Epoch: [3][630/5005] Time 0.607 (0.620) Data 0.000 (0.008) Loss 4.2760 (4.2135) Prec@1 18.750 (16.947) Prec@5 36.719 (38.176)
Epoch: [3][640/5005] Time 0.606 (0.620) Data 0.000 (0.008) Loss 4.2720 (4.2140) Prec@1 15.234 (16.938) Prec@5 35.156 (38.169)
Epoch: [3][650/5005] Time 0.610 (0.620) Data 0.000 (0.007) Loss 3.8939 (4.2131) Prec@1 19.141 (16.952) Prec@5 42.969 (38.181)
Epoch: [3][660/5005] Time 0.611 (0.620) Data 0.000 (0.007) Loss 4.2540 (4.2119) Prec@1 19.141 (16.965) Prec@5 33.984 (38.209)
Epoch: [3][670/5005] Time 0.607 (0.620) Data 0.000 (0.007) Loss 3.9692 (4.2111) Prec@1 21.875 (16.976) Prec@5 42.969 (38.229)
Epoch: [3][680/5005] Time 0.613 (0.620) Data 0.000 (0.007) Loss 3.9996 (4.2108) Prec@1 19.141 (16.986) Prec@5 44.531 (38.242)
Epoch: [3][690/5005] Time 0.615 (0.620) Data 0.000 (0.007) Loss 4.1894 (4.2097) Prec@1 19.141 (16.992) Prec@5 37.500 (38.271)
Epoch: [3][700/5005] Time 0.607 (0.619) Data 0.000 (0.007) Loss 4.0145 (4.2094) Prec@1 20.703 (17.008) Prec@5 42.188 (38.282)
Epoch: [3][710/5005] Time 0.607 (0.619) Data 0.000 (0.007) Loss 4.2197 (4.2094) Prec@1 16.016 (17.023) Prec@5 35.156 (38.277)
Epoch: [3][720/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 4.1180 (4.2101) Prec@1 14.062 (17.013) Prec@5 38.672 (38.274)
Epoch: [3][730/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 4.1042 (4.2111) Prec@1 18.750 (17.010) Prec@5 39.062 (38.260)
Epoch: [3][740/5005] Time 0.621 (0.619) Data 0.000 (0.007) Loss 4.0782 (4.2109) Prec@1 18.359 (16.997) Prec@5 41.406 (38.269)
Epoch: [3][750/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 4.0478 (4.2106) Prec@1 16.797 (16.990) Prec@5 39.453 (38.265)
Epoch: [3][760/5005] Time 0.609 (0.619) Data 0.000 (0.006) Loss 4.2575 (4.2102) Prec@1 17.969 (17.011) Prec@5 39.062 (38.285)
Epoch: [3][770/5005] Time 0.610 (0.619) Data 0.001 (0.006) Loss 3.9907 (4.2100) Prec@1 19.922 (17.014) Prec@5 40.625 (38.288)
Epoch: [3][780/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 4.1183 (4.2090) Prec@1 18.359 (17.023) Prec@5 42.188 (38.304)
Epoch: [3][790/5005] Time 0.618 (0.619) Data 0.000 (0.006) Loss 4.0201 (4.2088) Prec@1 19.922 (17.035) Prec@5 42.188 (38.310)
Epoch: [3][800/5005] Time 0.620 (0.619) Data 0.000 (0.006) Loss 4.4232 (4.2101) Prec@1 13.281 (17.014) Prec@5 31.250 (38.291)
Epoch: [3][810/5005] Time 0.609 (0.619) Data 0.000 (0.006) Loss 4.1340 (4.2096) Prec@1 17.188 (17.021) Prec@5 42.188 (38.307)
Epoch: [3][820/5005] Time 0.616 (0.619) Data 0.000 (0.006) Loss 4.2154 (4.2095) Prec@1 17.969 (17.022) Prec@5 40.234 (38.308)
Epoch: [3][830/5005] Time 0.617 (0.619) Data 0.000 (0.006) Loss 4.1561 (4.2087) Prec@1 17.969 (17.039) Prec@5 39.062 (38.333)
Epoch: [3][840/5005] Time 0.610 (0.619) Data 0.000 (0.006) Loss 3.9390 (4.2079) Prec@1 23.828 (17.058) Prec@5 44.922 (38.342)
Epoch: [3][850/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 4.1367 (4.2069) Prec@1 18.359 (17.063) Prec@5 37.109 (38.353)
Epoch: [3][860/5005] Time 0.622 (0.618) Data 0.000 (0.006) Loss 4.4766 (4.2068) Prec@1 13.672 (17.059) Prec@5 34.375 (38.357)
Epoch: [3][870/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 4.3000 (4.2069) Prec@1 17.578 (17.054) Prec@5 36.328 (38.363)
Epoch: [3][880/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 4.1543 (4.2064) Prec@1 17.188 (17.059) Prec@5 37.891 (38.378)
Epoch: [3][890/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 3.8997 (4.2050) Prec@1 21.094 (17.087) Prec@5 44.922 (38.411)
Epoch: [3][900/5005] Time 0.612 (0.618) Data 0.001 (0.005) Loss 4.0482 (4.2052) Prec@1 17.188 (17.079) Prec@5 39.453 (38.402)
Epoch: [3][910/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 4.1914 (4.2045) Prec@1 17.578 (17.079) Prec@5 37.500 (38.412)
Epoch: [3][920/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 4.2300 (4.2042) Prec@1 18.359 (17.079) Prec@5 37.500 (38.411)
Epoch: [3][930/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 4.2565 (4.2038) Prec@1 16.797 (17.073) Prec@5 39.844 (38.421)
Epoch: [3][940/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 4.1470 (4.2033) Prec@1 17.188 (17.076) Prec@5 40.625 (38.421)
Epoch: [3][950/5005] Time 0.618 (0.618) Data 0.000 (0.005) Loss 4.0579 (4.2029) Prec@1 16.406 (17.075) Prec@5 40.234 (38.424)
Epoch: [3][960/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 4.4066 (4.2028) Prec@1 15.234 (17.066) Prec@5 32.031 (38.423)
Epoch: [3][970/5005] Time 0.612 (0.618) Data 0.000 (0.005) Loss 4.1548 (4.2021) Prec@1 20.312 (17.077) Prec@5 38.281 (38.440)
Epoch: [3][980/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 4.2169 (4.2017) Prec@1 23.438 (17.092) Prec@5 39.844 (38.447)
Epoch: [3][990/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 4.1602 (4.2018) Prec@1 19.922 (17.089) Prec@5 42.188 (38.442)
Epoch: [3][1000/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 4.3006 (4.2017) Prec@1 19.531 (17.105) Prec@5 36.328 (38.442)
Epoch: [3][1010/5005] Time 0.615 (0.618) Data 0.000 (0.005) Loss 4.2810 (4.2014) Prec@1 16.406 (17.111) Prec@5 37.891 (38.452)
Epoch: [3][1020/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 4.0407 (4.2008) Prec@1 17.969 (17.119) Prec@5 40.234 (38.458)
Epoch: [3][1030/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 4.1842 (4.2007) Prec@1 19.922 (17.114) Prec@5 41.406 (38.456)
Epoch: [3][1040/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 4.1714 (4.2000) Prec@1 20.312 (17.122) Prec@5 40.625 (38.466)
Epoch: [3][1050/5005] Time 0.609 (0.618) Data 0.000 (0.005) Loss 4.4103 (4.1994) Prec@1 16.016 (17.132) Prec@5 35.547 (38.487)
Epoch: [3][1060/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 4.1656 (4.1988) Prec@1 18.359 (17.137) Prec@5 38.672 (38.491)
Epoch: [3][1070/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 4.1768 (4.1992) Prec@1 15.234 (17.136) Prec@5 35.938 (38.485)
Epoch: [3][1080/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 4.2892 (4.1988) Prec@1 13.672 (17.142) Prec@5 35.938 (38.497)
Epoch: [3][1090/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.9948 (4.1982) Prec@1 20.703 (17.143) Prec@5 44.531 (38.504)
Epoch: [3][1100/5005] Time 0.620 (0.617) Data 0.000 (0.005) Loss 4.1220 (4.1975) Prec@1 16.797 (17.155) Prec@5 37.109 (38.518)
Epoch: [3][1110/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 4.1996 (4.1969) Prec@1 19.531 (17.166) Prec@5 39.453 (38.526)
Epoch: [3][1120/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 4.2565 (4.1964) Prec@1 14.062 (17.171) Prec@5 36.328 (38.534)
Epoch: [3][1130/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 4.4061 (4.1960) Prec@1 14.062 (17.177) Prec@5 34.375 (38.547)
Epoch: [3][1140/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 4.3536 (4.1956) Prec@1 17.188 (17.184) Prec@5 32.812 (38.555)
Epoch: [3][1150/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 3.8657 (4.1948) Prec@1 21.875 (17.197) Prec@5 45.703 (38.565)
Epoch: [3][1160/5005] Time 0.606 (0.617) Data 0.000 (0.004) Loss 4.2119 (4.1946) Prec@1 20.312 (17.201) Prec@5 38.672 (38.566)
Epoch: [3][1170/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 4.2462 (4.1938) Prec@1 13.281 (17.206) Prec@5 40.234 (38.578)
Epoch: [3][1180/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 4.1912 (4.1939) Prec@1 17.969 (17.215) Prec@5 38.672 (38.572)
Epoch: [3][1190/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 4.1816 (4.1940) Prec@1 16.016 (17.210) Prec@5 41.406 (38.572)
Epoch: [3][1200/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 4.1878 (4.1939) Prec@1 17.578 (17.213) Prec@5 41.406 (38.574)
Epoch: [3][1210/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 4.3232 (4.1935) Prec@1 14.062 (17.223) Prec@5 35.156 (38.588)
Epoch: [3][1220/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.9658 (4.1931) Prec@1 19.922 (17.228) Prec@5 39.453 (38.599)
Epoch: [3][1230/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 4.1104 (4.1929) Prec@1 16.406 (17.232) Prec@5 39.453 (38.598)
Epoch: [3][1240/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 3.9561 (4.1922) Prec@1 17.969 (17.240) Prec@5 40.234 (38.610)
Epoch: [3][1250/5005] Time 0.606 (0.617) Data 0.000 (0.004) Loss 4.1864 (4.1920) Prec@1 18.359 (17.244) Prec@5 39.844 (38.618)
Epoch: [3][1260/5005] Time 0.605 (0.617) Data 0.000 (0.004) Loss 3.9937 (4.1911) Prec@1 18.750 (17.255) Prec@5 41.797 (38.632)
Epoch: [3][1270/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 4.1407 (4.1902) Prec@1 15.625 (17.270) Prec@5 40.234 (38.649)
Epoch: [3][1280/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 3.8084 (4.1890) Prec@1 20.703 (17.285) Prec@5 49.219 (38.670)
Epoch: [3][1290/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 4.0299 (4.1890) Prec@1 20.703 (17.291) Prec@5 40.625 (38.669)
Epoch: [3][1300/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 4.0591 (4.1884) Prec@1 19.531 (17.296) Prec@5 43.750 (38.678)
Epoch: [3][1310/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 4.0922 (4.1879) Prec@1 19.531 (17.301) Prec@5 41.016 (38.696)
Epoch: [3][1320/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 4.2871 (4.1875) Prec@1 14.453 (17.305) Prec@5 36.328 (38.705)
Epoch: [3][1330/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 4.2839 (4.1870) Prec@1 14.453 (17.307) Prec@5 35.156 (38.712)
Epoch: [3][1340/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 4.2451 (4.1869) Prec@1 16.797 (17.308) Prec@5 37.109 (38.717)
Epoch: [3][1350/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 4.0548 (4.1862) Prec@1 17.188 (17.316) Prec@5 40.625 (38.726)
Epoch: [3][1360/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 4.2645 (4.1857) Prec@1 16.016 (17.316) Prec@5 39.062 (38.737)
Epoch: [3][1370/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 4.0805 (4.1852) Prec@1 21.875 (17.325) Prec@5 40.625 (38.741)
Epoch: [3][1380/5005] Time 0.605 (0.617) Data 0.000 (0.004) Loss 3.8288 (4.1848) Prec@1 23.828 (17.333) Prec@5 46.484 (38.751)
Epoch: [3][1390/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 4.2379 (4.1845) Prec@1 17.188 (17.339) Prec@5 36.328 (38.754)
Epoch: [3][1400/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 4.0004 (4.1845) Prec@1 21.484 (17.345) Prec@5 39.453 (38.755)
Epoch: [3][1410/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 4.3360 (4.1845) Prec@1 15.234 (17.342) Prec@5 38.281 (38.763)
Epoch: [3][1420/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 4.1306 (4.1839) Prec@1 14.844 (17.351) Prec@5 42.969 (38.770)
Epoch: [3][1430/5005] Time 0.613 (0.617) Data 0.001 (0.004) Loss 4.0669 (4.1832) Prec@1 20.312 (17.358) Prec@5 41.016 (38.787)
Epoch: [3][1440/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 3.9457 (4.1824) Prec@1 20.312 (17.375) Prec@5 44.531 (38.809)
Epoch: [3][1450/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 4.2099 (4.1826) Prec@1 14.453 (17.371) Prec@5 35.938 (38.806)
Epoch: [3][1460/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 4.0382 (4.1822) Prec@1 18.359 (17.371) Prec@5 35.938 (38.809)
Epoch: [3][1470/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 4.4095 (4.1822) Prec@1 19.141 (17.368) Prec@5 34.375 (38.811)
Epoch: [3][1480/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 4.1495 (4.1816) Prec@1 16.016 (17.383) Prec@5 35.938 (38.823)
Epoch: [3][1490/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.1961 (4.1807) Prec@1 17.578 (17.397) Prec@5 39.453 (38.834)
Epoch: [3][1500/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.9836 (4.1804) Prec@1 21.484 (17.403) Prec@5 41.016 (38.838)
Epoch: [3][1510/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 3.9303 (4.1800) Prec@1 16.797 (17.412) Prec@5 44.141 (38.852)
Epoch: [3][1520/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.1048 (4.1792) Prec@1 17.969 (17.422) Prec@5 41.016 (38.874)
Epoch: [3][1530/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.9017 (4.1786) Prec@1 22.266 (17.430) Prec@5 42.969 (38.884)
Epoch: [3][1540/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.0544 (4.1779) Prec@1 22.656 (17.434) Prec@5 37.891 (38.891)
Epoch: [3][1550/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 4.1738 (4.1773) Prec@1 19.531 (17.448) Prec@5 40.625 (38.906)
Epoch: [3][1560/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.1069 (4.1773) Prec@1 21.484 (17.448) Prec@5 39.844 (38.904)
Epoch: [3][1570/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.7723 (4.1766) Prec@1 24.609 (17.451) Prec@5 45.312 (38.912)
Epoch: [3][1580/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.8185 (4.1758) Prec@1 23.828 (17.463) Prec@5 46.875 (38.924)
Epoch: [3][1590/5005] Time 0.624 (0.616) Data 0.000 (0.003) Loss 4.4031 (4.1755) Prec@1 16.406 (17.470) Prec@5 34.766 (38.926)
Epoch: [3][1600/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.0116 (4.1752) Prec@1 15.625 (17.467) Prec@5 40.234 (38.929)
Epoch: [3][1610/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.9491 (4.1745) Prec@1 18.750 (17.470) Prec@5 41.797 (38.941)
Epoch: [3][1620/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 4.0059 (4.1737) Prec@1 20.312 (17.477) Prec@5 41.797 (38.955)
Epoch: [3][1630/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.1603 (4.1735) Prec@1 15.625 (17.477) Prec@5 39.062 (38.968)
Epoch: [3][1640/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.1134 (4.1730) Prec@1 16.016 (17.489) Prec@5 41.406 (38.979)
Epoch: [3][1650/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.0695 (4.1722) Prec@1 17.578 (17.499) Prec@5 42.188 (38.997)
Epoch: [3][1660/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.9616 (4.1714) Prec@1 18.359 (17.507) Prec@5 42.188 (39.009)
Epoch: [3][1670/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.9463 (4.1715) Prec@1 21.094 (17.506) Prec@5 38.672 (39.008)
Epoch: [3][1680/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 4.2202 (4.1708) Prec@1 17.188 (17.513) Prec@5 39.062 (39.021)
Epoch: [3][1690/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.1361 (4.1703) Prec@1 18.750 (17.522) Prec@5 40.234 (39.030)
Epoch: [3][1700/5005] Time 0.598 (0.616) Data 0.000 (0.003) Loss 3.9931 (4.1691) Prec@1 19.531 (17.532) Prec@5 44.141 (39.056)
Epoch: [3][1710/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.2792 (4.1686) Prec@1 16.406 (17.536) Prec@5 41.797 (39.066)
Epoch: [3][1720/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 4.0180 (4.1681) Prec@1 19.922 (17.552) Prec@5 41.016 (39.073)
Epoch: [3][1730/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.8910 (4.1669) Prec@1 20.312 (17.568) Prec@5 42.578 (39.091)
Epoch: [3][1740/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.1076 (4.1665) Prec@1 20.703 (17.576) Prec@5 39.062 (39.098)
Epoch: [3][1750/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.1351 (4.1659) Prec@1 16.797 (17.582) Prec@5 40.234 (39.108)
Epoch: [3][1760/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.2454 (4.1656) Prec@1 21.094 (17.594) Prec@5 37.891 (39.116)
Epoch: [3][1770/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.1507 (4.1655) Prec@1 17.578 (17.593) Prec@5 39.062 (39.117)
Epoch: [3][1780/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.1728 (4.1649) Prec@1 17.969 (17.591) Prec@5 39.844 (39.126)
Epoch: [3][1790/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.2805 (4.1645) Prec@1 16.797 (17.592) Prec@5 37.109 (39.136)
Epoch: [3][1800/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 4.1434 (4.1643) Prec@1 19.531 (17.593) Prec@5 38.672 (39.136)
Epoch: [3][1810/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.7258 (4.1638) Prec@1 22.656 (17.601) Prec@5 48.438 (39.144)
Epoch: [3][1820/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.0534 (4.1637) Prec@1 21.094 (17.607) Prec@5 38.672 (39.149)
Epoch: [3][1830/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.9351 (4.1635) Prec@1 23.047 (17.610) Prec@5 41.406 (39.151)
Epoch: [3][1840/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.3127 (4.1631) Prec@1 15.625 (17.610) Prec@5 36.328 (39.159)
Epoch: [3][1850/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 4.0642 (4.1628) Prec@1 21.875 (17.618) Prec@5 38.672 (39.170)
Epoch: [3][1860/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.9386 (4.1619) Prec@1 18.359 (17.625) Prec@5 41.406 (39.182)
Epoch: [3][1870/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 4.0116 (4.1617) Prec@1 21.094 (17.625) Prec@5 44.922 (39.186)
Epoch: [3][1880/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.0785 (4.1610) Prec@1 19.531 (17.634) Prec@5 44.922 (39.200)
Epoch: [3][1890/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.1731 (4.1607) Prec@1 17.578 (17.635) Prec@5 35.547 (39.202)
Epoch: [3][1900/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.9890 (4.1600) Prec@1 17.969 (17.644) Prec@5 42.188 (39.217)
Epoch: [3][1910/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 4.1859 (4.1598) Prec@1 16.406 (17.645) Prec@5 41.016 (39.220)
Epoch: [3][1920/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.9750 (4.1593) Prec@1 19.922 (17.653) Prec@5 42.578 (39.226)
Epoch: [3][1930/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.1762 (4.1586) Prec@1 19.922 (17.659) Prec@5 41.016 (39.240)
Epoch: [3][1940/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 4.1661 (4.1582) Prec@1 16.797 (17.668) Prec@5 39.453 (39.247)
Epoch: [3][1950/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.1445 (4.1580) Prec@1 17.578 (17.663) Prec@5 39.453 (39.255)
Epoch: [3][1960/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 4.0056 (4.1573) Prec@1 20.703 (17.678) Prec@5 44.922 (39.267)
Epoch: [3][1970/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.0326 (4.1568) Prec@1 19.922 (17.683) Prec@5 41.406 (39.277)
Epoch: [3][1980/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 4.0364 (4.1561) Prec@1 18.750 (17.689) Prec@5 42.969 (39.290)
Epoch: [3][1990/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.9364 (4.1553) Prec@1 19.531 (17.693) Prec@5 44.531 (39.307)
Epoch: [3][2000/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.7924 (4.1546) Prec@1 21.094 (17.703) Prec@5 47.656 (39.324)
Epoch: [3][2010/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.1265 (4.1540) Prec@1 19.141 (17.707) Prec@5 42.188 (39.335)
Epoch: [3][2020/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.2426 (4.1534) Prec@1 14.844 (17.715) Prec@5 38.672 (39.345)
Epoch: [3][2030/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 4.0415 (4.1527) Prec@1 17.969 (17.720) Prec@5 37.500 (39.356)
Epoch: [3][2040/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.1506 (4.1525) Prec@1 18.359 (17.721) Prec@5 38.672 (39.359)
Epoch: [3][2050/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 4.0475 (4.1524) Prec@1 20.703 (17.724) Prec@5 41.406 (39.358)
Epoch: [3][2060/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 4.1504 (4.1520) Prec@1 18.750 (17.733) Prec@5 41.406 (39.369)
Epoch: [3][2070/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 4.1551 (4.1517) Prec@1 18.750 (17.735) Prec@5 43.750 (39.377)
Epoch: [3][2080/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.8981 (4.1512) Prec@1 23.438 (17.746) Prec@5 45.703 (39.393)
Epoch: [3][2090/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.9272 (4.1504) Prec@1 23.438 (17.757) Prec@5 42.969 (39.406)
Epoch: [3][2100/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.8134 (4.1498) Prec@1 23.047 (17.769) Prec@5 44.531 (39.418)
Epoch: [3][2110/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 3.8603 (4.1496) Prec@1 19.922 (17.771) Prec@5 40.625 (39.419)
Epoch: [3][2120/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 4.2043 (4.1490) Prec@1 16.797 (17.783) Prec@5 37.500 (39.429)
Epoch: [3][2130/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 4.0580 (4.1484) Prec@1 20.703 (17.787) Prec@5 40.625 (39.440)
Epoch: [3][2140/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.0600 (4.1479) Prec@1 18.750 (17.793) Prec@5 40.625 (39.447)
Epoch: [3][2150/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 4.2632 (4.1477) Prec@1 18.750 (17.799) Prec@5 36.328 (39.454)
Epoch: [3][2160/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 4.0476 (4.1467) Prec@1 21.094 (17.808) Prec@5 46.484 (39.472)
Epoch: [3][2170/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 4.0564 (4.1467) Prec@1 18.359 (17.809) Prec@5 38.672 (39.473)
Epoch: [3][2180/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 4.0906 (4.1463) Prec@1 20.312 (17.816) Prec@5 41.016 (39.477)
Epoch: [3][2190/5005] Time 0.611 (0.615) Data 0.001 (0.003) Loss 3.8887 (4.1460) Prec@1 21.875 (17.823) Prec@5 46.094 (39.486)
Epoch: [3][2200/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 4.3186 (4.1456) Prec@1 14.844 (17.826) Prec@5 35.156 (39.492)
Epoch: [3][2210/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 4.0183 (4.1451) Prec@1 18.359 (17.834) Prec@5 42.188 (39.499)
Epoch: [3][2220/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.1071 (4.1446) Prec@1 21.094 (17.841) Prec@5 39.453 (39.508)
Epoch: [3][2230/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.2152 (4.1446) Prec@1 16.016 (17.844) Prec@5 38.281 (39.510)
Epoch: [3][2240/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 4.0700 (4.1442) Prec@1 19.531 (17.851) Prec@5 41.406 (39.516)
Epoch: [3][2250/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.1449 (4.1440) Prec@1 19.922 (17.858) Prec@5 41.406 (39.525)
Epoch: [3][2260/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.1482 (4.1432) Prec@1 18.750 (17.868) Prec@5 39.062 (39.544)
Epoch: [3][2270/5005] Time 0.598 (0.615) Data 0.000 (0.002) Loss 4.2728 (4.1426) Prec@1 16.016 (17.874) Prec@5 39.062 (39.557)
Epoch: [3][2280/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.0056 (4.1422) Prec@1 19.531 (17.877) Prec@5 41.797 (39.563)
Epoch: [3][2290/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 4.1008 (4.1418) Prec@1 21.484 (17.887) Prec@5 43.359 (39.575)
Epoch: [3][2300/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 4.1577 (4.1414) Prec@1 17.578 (17.891) Prec@5 36.719 (39.581)
Epoch: [3][2310/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 4.0663 (4.1408) Prec@1 18.359 (17.898) Prec@5 43.359 (39.598)
Epoch: [3][2320/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.0128 (4.1400) Prec@1 15.234 (17.911) Prec@5 39.062 (39.615)
Epoch: [3][2330/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.9515 (4.1395) Prec@1 22.266 (17.922) Prec@5 41.016 (39.619)
Epoch: [3][2340/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.9522 (4.1387) Prec@1 17.188 (17.933) Prec@5 42.188 (39.634)
Epoch: [3][2350/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.9229 (4.1387) Prec@1 23.438 (17.935) Prec@5 43.750 (39.638)
Epoch: [3][2360/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.9921 (4.1382) Prec@1 23.438 (17.944) Prec@5 46.484 (39.647)
Epoch: [3][2370/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.8721 (4.1377) Prec@1 26.172 (17.956) Prec@5 45.312 (39.657)
Epoch: [3][2380/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.8173 (4.1372) Prec@1 20.703 (17.966) Prec@5 45.312 (39.669)
Epoch: [3][2390/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.0421 (4.1368) Prec@1 19.922 (17.972) Prec@5 39.844 (39.677)
Epoch: [3][2400/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.0100 (4.1365) Prec@1 21.875 (17.979) Prec@5 40.625 (39.682)
Epoch: [3][2410/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.0262 (4.1361) Prec@1 17.578 (17.982) Prec@5 42.188 (39.698)
Epoch: [3][2420/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.9024 (4.1355) Prec@1 18.359 (17.987) Prec@5 42.188 (39.709)
Epoch: [3][2430/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 3.9680 (4.1352) Prec@1 21.094 (17.990) Prec@5 43.359 (39.716)
Epoch: [3][2440/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.9989 (4.1346) Prec@1 21.484 (18.002) Prec@5 42.578 (39.728)
Epoch: [3][2450/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.0804 (4.1339) Prec@1 17.969 (18.010) Prec@5 41.797 (39.740)
Epoch: [3][2460/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.9112 (4.1333) Prec@1 22.266 (18.017) Prec@5 43.359 (39.752)
Epoch: [3][2470/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.1082 (4.1328) Prec@1 21.484 (18.027) Prec@5 38.281 (39.759)
Epoch: [3][2480/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.0189 (4.1324) Prec@1 21.094 (18.032) Prec@5 40.625 (39.768)
Epoch: [3][2490/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.1973 (4.1322) Prec@1 17.578 (18.036) Prec@5 38.281 (39.769)
Epoch: [3][2500/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.1656 (4.1317) Prec@1 16.797 (18.045) Prec@5 38.672 (39.779)
Epoch: [3][2510/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.0308 (4.1315) Prec@1 18.359 (18.046) Prec@5 42.969 (39.788)
Epoch: [3][2520/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.9983 (4.1311) Prec@1 18.750 (18.048) Prec@5 42.188 (39.792)
Epoch: [3][2530/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8069 (4.1304) Prec@1 21.484 (18.058) Prec@5 44.922 (39.809)
Epoch: [3][2540/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.8477 (4.1297) Prec@1 21.094 (18.066) Prec@5 46.094 (39.826)
Epoch: [3][2550/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.8394 (4.1291) Prec@1 25.391 (18.074) Prec@5 46.094 (39.839)
Epoch: [3][2560/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.1432 (4.1287) Prec@1 17.578 (18.077) Prec@5 41.016 (39.848)
Epoch: [3][2570/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.1467 (4.1281) Prec@1 17.969 (18.086) Prec@5 39.453 (39.858)
Epoch: [3][2580/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 4.0532 (4.1274) Prec@1 21.484 (18.097) Prec@5 42.969 (39.872)
Epoch: [3][2590/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.9199 (4.1267) Prec@1 17.969 (18.106) Prec@5 43.359 (39.890)
Epoch: [3][2600/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.0938 (4.1259) Prec@1 17.578 (18.117) Prec@5 38.281 (39.905)
Epoch: [3][2610/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.7885 (4.1254) Prec@1 23.828 (18.121) Prec@5 46.875 (39.912)
Epoch: [3][2620/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.8566 (4.1247) Prec@1 21.875 (18.126) Prec@5 46.094 (39.925)
Epoch: [3][2630/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.8125 (4.1238) Prec@1 23.828 (18.140) Prec@5 48.047 (39.942)
Epoch: [3][2640/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.9971 (4.1235) Prec@1 19.922 (18.140) Prec@5 37.109 (39.949)
Epoch: [3][2650/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.0925 (4.1232) Prec@1 17.969 (18.146) Prec@5 38.281 (39.953)
Epoch: [3][2660/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.8843 (4.1224) Prec@1 18.750 (18.157) Prec@5 42.578 (39.965)
Epoch: [3][2670/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 3.7990 (4.1221) Prec@1 23.438 (18.160) Prec@5 44.141 (39.969)
Epoch: [3][2680/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.9801 (4.1221) Prec@1 22.656 (18.164) Prec@5 44.531 (39.973)
Epoch: [3][2690/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.8386 (4.1218) Prec@1 20.703 (18.166) Prec@5 44.531 (39.976)
Epoch: [3][2700/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8482 (4.1214) Prec@1 20.312 (18.172) Prec@5 45.703 (39.988)
Epoch: [3][2710/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 3.9507 (4.1211) Prec@1 20.312 (18.175) Prec@5 42.578 (39.993)
Epoch: [3][2720/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.9326 (4.1206) Prec@1 17.969 (18.180) Prec@5 42.969 (39.999)
Epoch: [3][2730/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.1315 (4.1204) Prec@1 18.359 (18.179) Prec@5 40.625 (40.003)
Epoch: [3][2740/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.0653 (4.1199) Prec@1 17.578 (18.188) Prec@5 44.141 (40.013)
Epoch: [3][2750/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.0100 (4.1197) Prec@1 17.969 (18.192) Prec@5 43.359 (40.013)
Epoch: [3][2760/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.9872 (4.1193) Prec@1 16.797 (18.197) Prec@5 41.016 (40.023)
Epoch: [3][2770/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 4.0736 (4.1189) Prec@1 18.359 (18.204) Prec@5 40.234 (40.030)
Epoch: [3][2780/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8848 (4.1183) Prec@1 22.656 (18.210) Prec@5 45.312 (40.042)
Epoch: [3][2790/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 4.0281 (4.1176) Prec@1 18.359 (18.215) Prec@5 42.578 (40.053)
Epoch: [3][2800/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 3.8774 (4.1171) Prec@1 25.391 (18.223) Prec@5 44.141 (40.062)
Epoch: [3][2810/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.0550 (4.1167) Prec@1 19.531 (18.231) Prec@5 42.188 (40.069)
Epoch: [3][2820/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.8298 (4.1161) Prec@1 19.922 (18.237) Prec@5 44.141 (40.080)
Epoch: [3][2830/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.9434 (4.1156) Prec@1 22.266 (18.244) Prec@5 44.531 (40.088)
Epoch: [3][2840/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.1048 (4.1153) Prec@1 17.969 (18.252) Prec@5 39.844 (40.096)
Epoch: [3][2850/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8599 (4.1151) Prec@1 23.438 (18.258) Prec@5 43.750 (40.097)
Epoch: [3][2860/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.0047 (4.1149) Prec@1 20.312 (18.261) Prec@5 41.016 (40.103)
Epoch: [3][2870/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 4.1470 (4.1145) Prec@1 18.359 (18.264) Prec@5 38.672 (40.113)
Epoch: [3][2880/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.0075 (4.1141) Prec@1 23.438 (18.268) Prec@5 44.531 (40.117)
Epoch: [3][2890/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.7061 (4.1135) Prec@1 23.047 (18.273) Prec@5 49.219 (40.129)
Epoch: [3][2900/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.0005 (4.1128) Prec@1 20.703 (18.283) Prec@5 40.625 (40.143)
Epoch: [3][2910/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.9781 (4.1125) Prec@1 21.484 (18.287) Prec@5 39.844 (40.148)
Epoch: [3][2920/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.7935 (4.1120) Prec@1 25.391 (18.297) Prec@5 50.000 (40.156)
Epoch: [3][2930/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.0804 (4.1118) Prec@1 18.750 (18.302) Prec@5 41.406 (40.164)
Epoch: [3][2940/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.3851 (4.1114) Prec@1 14.453 (18.308) Prec@5 34.375 (40.172)
Epoch: [3][2950/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 4.2555 (4.1109) Prec@1 17.969 (18.313) Prec@5 36.719 (40.182)
Epoch: [3][2960/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.8740 (4.1103) Prec@1 24.219 (18.321) Prec@5 47.656 (40.195)
Epoch: [3][2970/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 4.0183 (4.1096) Prec@1 23.438 (18.327) Prec@5 41.797 (40.207)
Epoch: [3][2980/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.9440 (4.1093) Prec@1 23.047 (18.331) Prec@5 40.625 (40.210)
Epoch: [3][2990/5005] Time 0.605 (0.615) Data 0.001 (0.002) Loss 3.8529 (4.1089) Prec@1 23.828 (18.341) Prec@5 42.578 (40.217)
Epoch: [3][3000/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.9986 (4.1084) Prec@1 19.531 (18.343) Prec@5 41.797 (40.223)
Epoch: [3][3010/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.9382 (4.1083) Prec@1 19.531 (18.342) Prec@5 44.922 (40.227)
Epoch: [3][3020/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.6703 (4.1077) Prec@1 21.484 (18.348) Prec@5 47.656 (40.240)
Epoch: [3][3030/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.0016 (4.1072) Prec@1 18.750 (18.353) Prec@5 41.797 (40.251)
Epoch: [3][3040/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.8974 (4.1067) Prec@1 20.703 (18.357) Prec@5 42.188 (40.260)
Epoch: [3][3050/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.8238 (4.1064) Prec@1 19.141 (18.361) Prec@5 45.312 (40.267)
Epoch: [3][3060/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.8778 (4.1061) Prec@1 19.141 (18.365) Prec@5 43.359 (40.270)
Epoch: [3][3070/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.8056 (4.1056) Prec@1 22.656 (18.372) Prec@5 47.656 (40.278)
Epoch: [3][3080/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.8791 (4.1051) Prec@1 23.828 (18.381) Prec@5 44.922 (40.288)
Epoch: [3][3090/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.8615 (4.1048) Prec@1 19.922 (18.388) Prec@5 44.922 (40.300)
Epoch: [3][3100/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.7523 (4.1041) Prec@1 23.438 (18.398) Prec@5 46.875 (40.313)
Epoch: [3][3110/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 3.9789 (4.1037) Prec@1 16.797 (18.405) Prec@5 41.797 (40.320)
Epoch: [3][3120/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.7858 (4.1029) Prec@1 21.875 (18.416) Prec@5 51.172 (40.337)
Epoch: [3][3130/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.9644 (4.1024) Prec@1 19.141 (18.422) Prec@5 44.922 (40.347)
Epoch: [3][3140/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.9869 (4.1021) Prec@1 19.141 (18.427) Prec@5 45.312 (40.354)
Epoch: [3][3150/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.8143 (4.1018) Prec@1 22.656 (18.429) Prec@5 48.047 (40.363)
Epoch: [3][3160/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.0078 (4.1016) Prec@1 17.969 (18.433) Prec@5 42.578 (40.364)
Epoch: [3][3170/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.7145 (4.1011) Prec@1 21.094 (18.439) Prec@5 49.219 (40.376)
Epoch: [3][3180/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.1130 (4.1007) Prec@1 20.703 (18.444) Prec@5 44.141 (40.386)
Epoch: [3][3190/5005] Time 0.597 (0.615) Data 0.000 (0.002) Loss 3.7627 (4.1001) Prec@1 19.922 (18.453) Prec@5 45.312 (40.398)
Epoch: [3][3200/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 4.0786 (4.0992) Prec@1 20.312 (18.466) Prec@5 42.969 (40.414)
Epoch: [3][3210/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 4.0857 (4.0988) Prec@1 19.531 (18.470) Prec@5 40.234 (40.420)
Epoch: [3][3220/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.7060 (4.0982) Prec@1 23.438 (18.481) Prec@5 46.094 (40.431)
Epoch: [3][3230/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.9837 (4.0980) Prec@1 20.312 (18.487) Prec@5 40.625 (40.436)
Epoch: [3][3240/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8556 (4.0978) Prec@1 17.969 (18.487) Prec@5 43.750 (40.442)
Epoch: [3][3250/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.7843 (4.0971) Prec@1 20.312 (18.496) Prec@5 44.531 (40.454)
Epoch: [3][3260/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.7705 (4.0964) Prec@1 21.484 (18.510) Prec@5 44.922 (40.467)
Epoch: [3][3270/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.9715 (4.0962) Prec@1 23.828 (18.514) Prec@5 45.312 (40.475)
Epoch: [3][3280/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.9758 (4.0959) Prec@1 20.703 (18.521) Prec@5 42.969 (40.483)
Epoch: [3][3290/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 4.0701 (4.0957) Prec@1 22.656 (18.529) Prec@5 38.672 (40.486)
Epoch: [3][3300/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.9459 (4.0954) Prec@1 19.141 (18.536) Prec@5 43.359 (40.492)
Epoch: [3][3310/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.8761 (4.0948) Prec@1 19.531 (18.546) Prec@5 42.969 (40.502)
Epoch: [3][3320/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.7305 (4.0942) Prec@1 21.875 (18.554) Prec@5 45.703 (40.511)
Epoch: [3][3330/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8942 (4.0940) Prec@1 21.875 (18.561) Prec@5 43.750 (40.517)
Epoch: [3][3340/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.7366 (4.0935) Prec@1 19.922 (18.566) Prec@5 50.391 (40.528)
Epoch: [3][3350/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 4.1900 (4.0929) Prec@1 17.578 (18.575) Prec@5 37.500 (40.540)
Epoch: [3][3360/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.8872 (4.0926) Prec@1 24.219 (18.585) Prec@5 44.531 (40.547)
Epoch: [3][3370/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 4.0074 (4.0922) Prec@1 14.453 (18.588) Prec@5 42.578 (40.554)
Epoch: [3][3380/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.9314 (4.0919) Prec@1 20.703 (18.594) Prec@5 45.703 (40.561)
Epoch: [3][3390/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.2202 (4.0915) Prec@1 15.625 (18.599) Prec@5 37.500 (40.568)
Epoch: [3][3400/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.1195 (4.0912) Prec@1 19.922 (18.599) Prec@5 44.531 (40.573)
Epoch: [3][3410/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 4.0449 (4.0907) Prec@1 19.531 (18.608) Prec@5 41.016 (40.581)
Epoch: [3][3420/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.7139 (4.0903) Prec@1 26.172 (18.616) Prec@5 51.172 (40.593)
Epoch: [3][3430/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.9158 (4.0898) Prec@1 21.094 (18.624) Prec@5 44.141 (40.605)
Epoch: [3][3440/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 4.2316 (4.0892) Prec@1 16.016 (18.632) Prec@5 37.500 (40.616)
Epoch: [3][3450/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.8180 (4.0888) Prec@1 23.828 (18.641) Prec@5 46.875 (40.623)
Epoch: [3][3460/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.8555 (4.0882) Prec@1 20.703 (18.650) Prec@5 44.531 (40.634)
Epoch: [3][3470/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 4.0442 (4.0878) Prec@1 17.578 (18.656) Prec@5 42.578 (40.644)
Epoch: [3][3480/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 4.0555 (4.0872) Prec@1 19.922 (18.663) Prec@5 41.797 (40.658)
Epoch: [3][3490/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 4.2020 (4.0869) Prec@1 16.406 (18.670) Prec@5 38.281 (40.665)
Epoch: [3][3500/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 4.2007 (4.0865) Prec@1 17.188 (18.673) Prec@5 40.234 (40.672)
Epoch: [3][3510/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.9479 (4.0864) Prec@1 20.703 (18.674) Prec@5 42.188 (40.672)
Epoch: [3][3520/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 4.0574 (4.0860) Prec@1 21.484 (18.678) Prec@5 39.844 (40.679)
Epoch: [3][3530/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.8454 (4.0856) Prec@1 20.703 (18.683) Prec@5 41.016 (40.686)
Epoch: [3][3540/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.9915 (4.0852) Prec@1 16.016 (18.688) Prec@5 39.062 (40.693)
Epoch: [3][3550/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.0819 (4.0848) Prec@1 19.922 (18.693) Prec@5 39.062 (40.698)
Epoch: [3][3560/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.7420 (4.0841) Prec@1 26.172 (18.702) Prec@5 46.484 (40.712)
Epoch: [3][3570/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.8993 (4.0839) Prec@1 21.875 (18.703) Prec@5 42.188 (40.712)
Epoch: [3][3580/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.9616 (4.0837) Prec@1 21.875 (18.710) Prec@5 41.797 (40.717)
Epoch: [3][3590/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 4.1154 (4.0831) Prec@1 18.750 (18.714) Prec@5 38.281 (40.725)
Epoch: [3][3600/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 3.7770 (4.0825) Prec@1 21.875 (18.725) Prec@5 46.875 (40.739)
Epoch: [3][3610/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.9914 (4.0821) Prec@1 21.094 (18.732) Prec@5 46.094 (40.748)
Epoch: [3][3620/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.6927 (4.0816) Prec@1 22.656 (18.737) Prec@5 45.312 (40.758)
Epoch: [3][3630/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.8983 (4.0810) Prec@1 21.094 (18.745) Prec@5 46.094 (40.768)
Epoch: [3][3640/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.8631 (4.0806) Prec@1 23.047 (18.747) Prec@5 47.266 (40.777)
Epoch: [3][3650/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.9558 (4.0801) Prec@1 20.312 (18.755) Prec@5 42.578 (40.785)
Epoch: [3][3660/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.9006 (4.0797) Prec@1 19.531 (18.756) Prec@5 42.578 (40.790)
Epoch: [3][3670/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.7394 (4.0792) Prec@1 23.828 (18.761) Prec@5 46.094 (40.799)
Epoch: [3][3680/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.9562 (4.0787) Prec@1 16.797 (18.767) Prec@5 39.453 (40.808)
Epoch: [3][3690/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.7012 (4.0785) Prec@1 21.094 (18.771) Prec@5 45.703 (40.811)
Epoch: [3][3700/5005] Time 0.627 (0.614) Data 0.001 (0.002) Loss 3.9811 (4.0781) Prec@1 20.312 (18.776) Prec@5 44.141 (40.820)
Epoch: [3][3710/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.7722 (4.0777) Prec@1 23.438 (18.780) Prec@5 47.656 (40.828)
Epoch: [3][3720/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.0063 (4.0773) Prec@1 20.312 (18.786) Prec@5 45.312 (40.838)
Epoch: [3][3730/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.9234 (4.0768) Prec@1 23.828 (18.794) Prec@5 44.531 (40.849)
Epoch: [3][3740/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.9125 (4.0765) Prec@1 24.609 (18.797) Prec@5 44.141 (40.855)
Epoch: [3][3750/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.8724 (4.0759) Prec@1 21.484 (18.806) Prec@5 45.703 (40.866)
Epoch: [3][3760/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.9475 (4.0754) Prec@1 21.094 (18.808) Prec@5 42.188 (40.877)
Epoch: [3][3770/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.7866 (4.0749) Prec@1 23.438 (18.818) Prec@5 48.438 (40.890)
Epoch: [3][3780/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.1423 (4.0746) Prec@1 19.531 (18.820) Prec@5 42.578 (40.896)
Epoch: [3][3790/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 4.2146 (4.0744) Prec@1 18.359 (18.825) Prec@5 38.281 (40.899)
Epoch: [3][3800/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.9900 (4.0739) Prec@1 25.781 (18.832) Prec@5 44.922 (40.911)
Epoch: [3][3810/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.9823 (4.0735) Prec@1 20.312 (18.839) Prec@5 42.578 (40.918)
Epoch: [3][3820/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.8140 (4.0730) Prec@1 24.609 (18.846) Prec@5 49.609 (40.928)
Epoch: [3][3830/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.7119 (4.0726) Prec@1 25.781 (18.853) Prec@5 44.531 (40.938)
Epoch: [3][3840/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 4.0186 (4.0724) Prec@1 18.359 (18.859) Prec@5 45.703 (40.946)
Epoch: [3][3850/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.8293 (4.0719) Prec@1 19.141 (18.867) Prec@5 43.750 (40.956)
Epoch: [3][3860/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 4.0283 (4.0715) Prec@1 21.875 (18.872) Prec@5 42.578 (40.965)
Epoch: [3][3870/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.9745 (4.0711) Prec@1 19.141 (18.877) Prec@5 42.188 (40.970)
Epoch: [3][3880/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.9166 (4.0704) Prec@1 20.703 (18.888) Prec@5 46.094 (40.982)
Epoch: [3][3890/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.9897 (4.0699) Prec@1 17.969 (18.892) Prec@5 41.797 (40.992)
Epoch: [3][3900/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.7169 (4.0695) Prec@1 26.953 (18.897) Prec@5 48.438 (40.999)
Epoch: [3][3910/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.9814 (4.0692) Prec@1 25.000 (18.903) Prec@5 44.141 (41.004)
Epoch: [3][3920/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.8285 (4.0688) Prec@1 22.266 (18.904) Prec@5 44.141 (41.011)
Epoch: [3][3930/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.8546 (4.0684) Prec@1 23.828 (18.909) Prec@5 43.750 (41.018)
Epoch: [3][3940/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 4.0626 (4.0680) Prec@1 18.750 (18.915) Prec@5 40.625 (41.027)
Epoch: [3][3950/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.9506 (4.0676) Prec@1 20.703 (18.920) Prec@5 44.922 (41.036)
Epoch: [3][3960/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.8416 (4.0675) Prec@1 21.484 (18.922) Prec@5 42.578 (41.037)
Epoch: [3][3970/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.9690 (4.0669) Prec@1 22.266 (18.931) Prec@5 40.234 (41.047)
Epoch: [3][3980/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.7288 (4.0664) Prec@1 25.781 (18.938) Prec@5 45.312 (41.055)
Epoch: [3][3990/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.8186 (4.0661) Prec@1 19.141 (18.942) Prec@5 45.312 (41.062)
Epoch: [3][4000/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.8897 (4.0654) Prec@1 18.359 (18.951) Prec@5 44.531 (41.075)
Epoch: [3][4010/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.8469 (4.0649) Prec@1 26.562 (18.957) Prec@5 47.656 (41.084)
Epoch: [3][4020/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.8839 (4.0645) Prec@1 22.656 (18.961) Prec@5 39.453 (41.093)
Epoch: [3][4030/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.8871 (4.0641) Prec@1 16.406 (18.962) Prec@5 43.359 (41.102)
Epoch: [3][4040/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 4.0841 (4.0639) Prec@1 20.312 (18.964) Prec@5 40.234 (41.103)
Epoch: [3][4050/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.7116 (4.0635) Prec@1 24.609 (18.971) Prec@5 45.703 (41.107)
Epoch: [3][4060/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.9341 (4.0632) Prec@1 18.359 (18.975) Prec@5 45.703 (41.115)
Epoch: [3][4070/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.8475 (4.0627) Prec@1 21.875 (18.982) Prec@5 46.094 (41.125)
Epoch: [3][4080/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 4.0076 (4.0623) Prec@1 19.531 (18.985) Prec@5 41.016 (41.130)
Epoch: [3][4090/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.8185 (4.0617) Prec@1 23.047 (18.993) Prec@5 44.141 (41.145)
Epoch: [3][4100/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.9241 (4.0612) Prec@1 16.797 (18.999) Prec@5 42.188 (41.155)
Epoch: [3][4110/5005] Time 0.624 (0.614) Data 0.000 (0.002) Loss 3.8637 (4.0608) Prec@1 17.969 (19.003) Prec@5 48.828 (41.164)
Epoch: [3][4120/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.8639 (4.0603) Prec@1 17.969 (19.008) Prec@5 44.531 (41.172)
Epoch: [3][4130/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 4.1540 (4.0599) Prec@1 21.484 (19.014) Prec@5 41.406 (41.179)
Epoch: [3][4140/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.8363 (4.0593) Prec@1 22.266 (19.020) Prec@5 47.266 (41.191)
Epoch: [3][4150/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.9233 (4.0588) Prec@1 19.922 (19.024) Prec@5 46.875 (41.203)
Epoch: [3][4160/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.8186 (4.0584) Prec@1 21.484 (19.027) Prec@5 43.359 (41.209)
Epoch: [3][4170/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.8277 (4.0579) Prec@1 18.750 (19.031) Prec@5 43.750 (41.217)
Epoch: [3][4180/5005] Time 0.623 (0.614) Data 0.000 (0.002) Loss 3.9490 (4.0574) Prec@1 18.750 (19.038) Prec@5 44.141 (41.226)
Epoch: [3][4190/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.9608 (4.0569) Prec@1 22.266 (19.047) Prec@5 42.578 (41.236)
Epoch: [3][4200/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.7259 (4.0565) Prec@1 24.609 (19.055) Prec@5 44.922 (41.244)
Epoch: [3][4210/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.9454 (4.0560) Prec@1 21.094 (19.065) Prec@5 43.359 (41.253)
Epoch: [3][4220/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 3.8595 (4.0555) Prec@1 23.047 (19.072) Prec@5 47.266 (41.261)
Epoch: [3][4230/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.8870 (4.0551) Prec@1 19.141 (19.079) Prec@5 46.094 (41.269)
Epoch: [3][4240/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.8453 (4.0545) Prec@1 20.312 (19.087) Prec@5 43.359 (41.282)
Epoch: [3][4250/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.6173 (4.0542) Prec@1 26.562 (19.094) Prec@5 50.000 (41.291)
Epoch: [3][4260/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.7223 (4.0539) Prec@1 22.266 (19.099) Prec@5 50.391 (41.298)
Epoch: [3][4270/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.8418 (4.0534) Prec@1 22.266 (19.104) Prec@5 46.094 (41.305)
Epoch: [3][4280/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.7153 (4.0530) Prec@1 24.609 (19.108) Prec@5 47.266 (41.313)
Epoch: [3][4290/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.6583 (4.0524) Prec@1 23.438 (19.116) Prec@5 48.438 (41.324)
Epoch: [3][4300/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 4.0521 (4.0521) Prec@1 16.406 (19.118) Prec@5 40.625 (41.330)
Epoch: [3][4310/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.8413 (4.0517) Prec@1 22.266 (19.122) Prec@5 48.438 (41.337)
Epoch: [3][4320/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.9559 (4.0513) Prec@1 19.141 (19.128) Prec@5 44.922 (41.345)
Epoch: [3][4330/5005] Time 0.595 (0.614) Data 0.000 (0.001) Loss 3.6901 (4.0509) Prec@1 25.391 (19.137) Prec@5 51.172 (41.355)
Epoch: [3][4340/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.6278 (4.0503) Prec@1 22.656 (19.144) Prec@5 46.094 (41.363)
Epoch: [3][4350/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.7353 (4.0501) Prec@1 24.609 (19.149) Prec@5 45.312 (41.369)
Epoch: [3][4360/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.8286 (4.0497) Prec@1 23.438 (19.157) Prec@5 47.656 (41.377)
Epoch: [3][4370/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.8336 (4.0493) Prec@1 20.703 (19.162) Prec@5 43.750 (41.384)
Epoch: [3][4380/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.6728 (4.0487) Prec@1 23.828 (19.170) Prec@5 48.047 (41.396)
Epoch: [3][4390/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.8547 (4.0483) Prec@1 23.828 (19.176) Prec@5 46.484 (41.405)
Epoch: [3][4400/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.5541 (4.0476) Prec@1 26.562 (19.184) Prec@5 50.781 (41.416)
Epoch: [3][4410/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 4.0722 (4.0470) Prec@1 15.234 (19.189) Prec@5 43.359 (41.430)
Epoch: [3][4420/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 4.0099 (4.0465) Prec@1 19.141 (19.197) Prec@5 42.578 (41.441)
Epoch: [3][4430/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.9437 (4.0461) Prec@1 19.922 (19.203) Prec@5 44.531 (41.449)
Epoch: [3][4440/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 4.2259 (4.0459) Prec@1 17.188 (19.204) Prec@5 37.109 (41.453)
Epoch: [3][4450/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.8127 (4.0453) Prec@1 20.312 (19.213) Prec@5 47.656 (41.463)
Epoch: [3][4460/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.6462 (4.0448) Prec@1 26.172 (19.220) Prec@5 49.609 (41.473)
Epoch: [3][4470/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.7957 (4.0443) Prec@1 23.828 (19.225) Prec@5 48.828 (41.481)
Epoch: [3][4480/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.8164 (4.0438) Prec@1 21.094 (19.233) Prec@5 42.578 (41.488)
Epoch: [3][4490/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.9534 (4.0435) Prec@1 20.312 (19.239) Prec@5 42.969 (41.497)
Epoch: [3][4500/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.8468 (4.0430) Prec@1 22.656 (19.246) Prec@5 42.188 (41.505)
Epoch: [3][4510/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 3.7745 (4.0425) Prec@1 19.531 (19.257) Prec@5 46.484 (41.516)
Epoch: [3][4520/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.9043 (4.0421) Prec@1 20.312 (19.261) Prec@5 44.531 (41.522)
Epoch: [3][4530/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.7018 (4.0417) Prec@1 23.047 (19.266) Prec@5 52.344 (41.529)
Epoch: [3][4540/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.7647 (4.0413) Prec@1 23.438 (19.275) Prec@5 45.312 (41.538)
Epoch: [3][4550/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.9648 (4.0408) Prec@1 18.750 (19.282) Prec@5 43.750 (41.548)
Epoch: [3][4560/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.8717 (4.0404) Prec@1 19.922 (19.290) Prec@5 42.578 (41.555)
Epoch: [3][4570/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.7181 (4.0401) Prec@1 23.047 (19.294) Prec@5 46.484 (41.563)
Epoch: [3][4580/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.6840 (4.0395) Prec@1 26.172 (19.300) Prec@5 50.781 (41.571)
Epoch: [3][4590/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.6031 (4.0389) Prec@1 25.391 (19.307) Prec@5 50.781 (41.582)
Epoch: [3][4600/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.7801 (4.0383) Prec@1 22.656 (19.316) Prec@5 50.391 (41.592)
Epoch: [3][4610/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 3.6996 (4.0382) Prec@1 22.266 (19.316) Prec@5 49.609 (41.597)
Epoch: [3][4620/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4774 (4.0378) Prec@1 27.734 (19.323) Prec@5 49.609 (41.603)
Epoch: [3][4630/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.8327 (4.0375) Prec@1 19.922 (19.327) Prec@5 49.609 (41.609)
Epoch: [3][4640/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.8736 (4.0372) Prec@1 22.656 (19.333) Prec@5 46.484 (41.616)
Epoch: [3][4650/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.8954 (4.0368) Prec@1 18.359 (19.338) Prec@5 41.797 (41.623)
Epoch: [3][4660/5005] Time 0.624 (0.614) Data 0.000 (0.001) Loss 3.7573 (4.0363) Prec@1 19.922 (19.345) Prec@5 46.094 (41.633)
Epoch: [3][4670/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.9660 (4.0360) Prec@1 19.922 (19.351) Prec@5 46.484 (41.641)
Epoch: [3][4680/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.8934 (4.0355) Prec@1 18.750 (19.356) Prec@5 42.969 (41.647)
Epoch: [3][4690/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5888 (4.0350) Prec@1 23.438 (19.358) Prec@5 50.000 (41.655)
Epoch: [3][4700/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.9463 (4.0346) Prec@1 19.922 (19.364) Prec@5 44.141 (41.664)
Epoch: [3][4710/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 3.9247 (4.0342) Prec@1 19.141 (19.367) Prec@5 45.703 (41.672)
Epoch: [3][4720/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.6534 (4.0338) Prec@1 26.172 (19.374) Prec@5 48.047 (41.677)
Epoch: [3][4730/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.8802 (4.0332) Prec@1 24.219 (19.381) Prec@5 46.875 (41.688)
Epoch: [3][4740/5005] Time 0.618 (0.614) Data 0.001 (0.001) Loss 4.0650 (4.0327) Prec@1 20.312 (19.388) Prec@5 44.531 (41.697)
Epoch: [3][4750/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.6429 (4.0323) Prec@1 22.656 (19.392) Prec@5 49.609 (41.707)
Epoch: [3][4760/5005] Time 0.619 (0.614) Data 0.001 (0.001) Loss 3.8694 (4.0319) Prec@1 21.875 (19.399) Prec@5 47.656 (41.715)
Epoch: [3][4770/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 4.0703 (4.0315) Prec@1 22.656 (19.406) Prec@5 39.453 (41.722)
Epoch: [3][4780/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.7305 (4.0309) Prec@1 21.484 (19.414) Prec@5 46.094 (41.733)
Epoch: [3][4790/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.8977 (4.0306) Prec@1 23.047 (19.421) Prec@5 41.797 (41.738)
Epoch: [3][4800/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.9044 (4.0303) Prec@1 21.484 (19.425) Prec@5 39.453 (41.744)
Epoch: [3][4810/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.6940 (4.0298) Prec@1 24.219 (19.432) Prec@5 47.266 (41.753)
Epoch: [3][4820/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.7779 (4.0295) Prec@1 23.828 (19.438) Prec@5 50.781 (41.760)
Epoch: [3][4830/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.7186 (4.0290) Prec@1 23.438 (19.447) Prec@5 47.266 (41.767)
Epoch: [3][4840/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.7170 (4.0285) Prec@1 23.047 (19.452) Prec@5 45.312 (41.779)
Epoch: [3][4850/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.7503 (4.0281) Prec@1 19.922 (19.459) Prec@5 48.438 (41.787)
Epoch: [3][4860/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.7868 (4.0278) Prec@1 21.094 (19.465) Prec@5 45.312 (41.795)
Epoch: [3][4870/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.7787 (4.0274) Prec@1 20.703 (19.471) Prec@5 48.438 (41.803)
Epoch: [3][4880/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 3.7199 (4.0270) Prec@1 24.219 (19.475) Prec@5 49.219 (41.808)
Epoch: [3][4890/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.6239 (4.0265) Prec@1 23.438 (19.483) Prec@5 48.828 (41.818)
Epoch: [3][4900/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.6538 (4.0260) Prec@1 24.609 (19.491) Prec@5 48.047 (41.829)
Epoch: [3][4910/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.8804 (4.0257) Prec@1 21.094 (19.494) Prec@5 45.703 (41.836)
Epoch: [3][4920/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.8021 (4.0253) Prec@1 25.391 (19.497) Prec@5 42.578 (41.840)
Epoch: [3][4930/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.6977 (4.0249) Prec@1 23.438 (19.505) Prec@5 44.531 (41.847)
Epoch: [3][4940/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.5608 (4.0242) Prec@1 21.875 (19.513) Prec@5 48.828 (41.858)
Epoch: [3][4950/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.7699 (4.0238) Prec@1 22.266 (19.520) Prec@5 46.875 (41.866)
Epoch: [3][4960/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 4.0017 (4.0234) Prec@1 18.359 (19.526) Prec@5 46.094 (41.874)
Epoch: [3][4970/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 4.0740 (4.0231) Prec@1 19.531 (19.532) Prec@5 39.844 (41.882)
Epoch: [3][4980/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 3.6508 (4.0226) Prec@1 19.922 (19.538) Prec@5 47.266 (41.892)
Epoch: [3][4990/5005] Time 0.601 (0.614) Data 0.000 (0.001) Loss 3.7009 (4.0221) Prec@1 23.438 (19.545) Prec@5 48.047 (41.903)
Epoch: [3][5000/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.8341 (4.0217) Prec@1 22.266 (19.551) Prec@5 48.047 (41.910)
Test: [0/196] Time 5.125 (5.125) Loss 2.4251 (2.4251) Prec@1 41.016 (41.016) Prec@5 76.172 (76.172)
Test: [10/196] Time 0.203 (0.652) Loss 3.3480 (2.8265) Prec@1 26.172 (35.547) Prec@5 56.250 (64.311)
Test: [20/196] Time 0.204 (0.438) Loss 2.7748 (2.7907) Prec@1 44.141 (36.961) Prec@5 59.375 (64.955)
Test: [30/196] Time 0.205 (0.365) Loss 2.4254 (2.7095) Prec@1 34.375 (38.143) Prec@5 70.312 (66.280)
Test: [40/196] Time 0.202 (0.325) Loss 2.9981 (2.7813) Prec@1 29.688 (34.870) Prec@5 60.938 (64.491)
Test: [50/196] Time 0.206 (0.301) Loss 2.9110 (2.7464) Prec@1 26.562 (34.620) Prec@5 63.672 (65.571)
Test: [60/196] Time 0.203 (0.286) Loss 3.2575 (2.7690) Prec@1 19.531 (33.818) Prec@5 58.594 (65.196)
Test: [70/196] Time 0.202 (0.274) Loss 3.2256 (2.7774) Prec@1 37.109 (34.425) Prec@5 54.297 (64.888)
Test: [80/196] Time 0.212 (0.266) Loss 4.0217 (2.8100) Prec@1 21.875 (34.312) Prec@5 44.531 (64.366)
Test: [90/196] Time 0.204 (0.259) Loss 4.6713 (2.9016) Prec@1 10.938 (33.263) Prec@5 28.125 (62.766)
Test: [100/196] Time 0.203 (0.254) Loss 4.2916 (2.9800) Prec@1 14.062 (32.414) Prec@5 39.062 (61.359)
Test: [110/196] Time 0.209 (0.249) Loss 3.1760 (3.0220) Prec@1 38.672 (32.154) Prec@5 60.156 (60.674)
Test: [120/196] Time 0.204 (0.246) Loss 4.0360 (3.0668) Prec@1 22.656 (31.880) Prec@5 42.188 (59.933)
Test: [130/196] Time 0.202 (0.242) Loss 3.0537 (3.0926) Prec@1 39.062 (31.587) Prec@5 62.500 (59.608)
Test: [140/196] Time 0.202 (0.240) Loss 3.3437 (3.1311) Prec@1 25.391 (31.128) Prec@5 59.375 (58.885)
Test: [150/196] Time 0.202 (0.238) Loss 3.8199 (3.1715) Prec@1 26.172 (30.787) Prec@5 48.047 (58.169)
Test: [160/196] Time 0.201 (0.236) Loss 3.4045 (3.1994) Prec@1 29.297 (30.483) Prec@5 57.031 (57.664)
Test: [170/196] Time 0.215 (0.234) Loss 2.4211 (3.2242) Prec@1 49.219 (30.044) Prec@5 70.312 (57.091)
Test: [180/196] Time 0.201 (0.232) Loss 2.3840 (3.2342) Prec@1 37.891 (29.944) Prec@5 71.875 (56.852)
Test: [190/196] Time 0.201 (0.231) Loss 2.3537 (3.2189) Prec@1 43.750 (30.078) Prec@5 76.953 (57.136)
* Prec@1 30.454 Prec@5 57.414
Epoch: [4][0/5005] Time 3.969 (3.969) Data 3.698 (3.698) Loss 3.5393 (3.5393) Prec@1 26.953 (26.953) Prec@5 49.609 (49.609)
Epoch: [4][10/5005] Time 0.630 (0.948) Data 0.001 (0.399) Loss 3.8895 (3.7416) Prec@1 19.531 (23.686) Prec@5 47.656 (47.656)
Epoch: [4][20/5005] Time 0.621 (0.789) Data 0.000 (0.209) Loss 3.8239 (3.7778) Prec@1 22.266 (22.824) Prec@5 46.094 (46.577)
Epoch: [4][30/5005] Time 0.613 (0.732) Data 0.000 (0.142) Loss 3.7265 (3.7578) Prec@1 26.562 (23.349) Prec@5 48.828 (46.925)
Epoch: [4][40/5005] Time 0.620 (0.704) Data 0.000 (0.107) Loss 3.7618 (3.7732) Prec@1 23.438 (23.037) Prec@5 44.141 (46.751)
Epoch: [4][50/5005] Time 0.616 (0.686) Data 0.000 (0.086) Loss 3.6404 (3.7724) Prec@1 26.953 (23.162) Prec@5 49.219 (46.921)
Epoch: [4][60/5005] Time 0.615 (0.674) Data 0.000 (0.072) Loss 3.9683 (3.7823) Prec@1 21.875 (23.111) Prec@5 40.625 (46.689)
Epoch: [4][70/5005] Time 0.607 (0.665) Data 0.000 (0.062) Loss 3.6787 (3.7824) Prec@1 26.953 (23.179) Prec@5 50.000 (46.721)
Epoch: [4][80/5005] Time 0.616 (0.659) Data 0.000 (0.055) Loss 3.8479 (3.7924) Prec@1 23.828 (23.114) Prec@5 43.750 (46.484)
Epoch: [4][90/5005] Time 0.610 (0.654) Data 0.000 (0.049) Loss 3.6786 (3.7919) Prec@1 23.828 (23.133) Prec@5 51.172 (46.523)
Epoch: [4][100/5005] Time 0.619 (0.650) Data 0.000 (0.044) Loss 3.6941 (3.7826) Prec@1 24.609 (23.229) Prec@5 47.656 (46.554)
Epoch: [4][110/5005] Time 0.605 (0.646) Data 0.000 (0.040) Loss 3.8683 (3.7818) Prec@1 23.438 (23.346) Prec@5 44.141 (46.551)
Epoch: [4][120/5005] Time 0.606 (0.644) Data 0.000 (0.037) Loss 4.1142 (3.7907) Prec@1 19.141 (23.237) Prec@5 41.797 (46.420)
Epoch: [4][130/5005] Time 0.612 (0.641) Data 0.000 (0.034) Loss 3.9707 (3.7895) Prec@1 23.438 (23.288) Prec@5 44.141 (46.475)
Epoch: [4][140/5005] Time 0.611 (0.639) Data 0.000 (0.032) Loss 3.8621 (3.7907) Prec@1 20.312 (23.227) Prec@5 46.484 (46.407)
Epoch: [4][150/5005] Time 0.609 (0.638) Data 0.000 (0.030) Loss 3.6231 (3.7853) Prec@1 26.562 (23.249) Prec@5 46.484 (46.497)
Epoch: [4][160/5005] Time 0.598 (0.636) Data 0.000 (0.028) Loss 3.9663 (3.7802) Prec@1 16.406 (23.243) Prec@5 43.359 (46.594)
Epoch: [4][170/5005] Time 0.611 (0.635) Data 0.000 (0.026) Loss 3.8611 (3.7787) Prec@1 21.875 (23.209) Prec@5 46.094 (46.621)
Epoch: [4][180/5005] Time 0.604 (0.634) Data 0.000 (0.025) Loss 3.7766 (3.7792) Prec@1 19.922 (23.150) Prec@5 46.484 (46.592)
Epoch: [4][190/5005] Time 0.609 (0.633) Data 0.000 (0.023) Loss 3.7725 (3.7793) Prec@1 20.703 (23.108) Prec@5 46.094 (46.574)
Epoch: [4][200/5005] Time 0.614 (0.632) Data 0.000 (0.022) Loss 3.6891 (3.7814) Prec@1 25.000 (23.066) Prec@5 44.531 (46.510)
Epoch: [4][210/5005] Time 0.614 (0.631) Data 0.001 (0.021) Loss 3.8790 (3.7798) Prec@1 21.484 (23.078) Prec@5 44.141 (46.503)
Epoch: [4][220/5005] Time 0.610 (0.630) Data 0.000 (0.020) Loss 3.8137 (3.7787) Prec@1 20.312 (23.001) Prec@5 46.094 (46.506)
Epoch: [4][230/5005] Time 0.610 (0.629) Data 0.000 (0.019) Loss 3.8856 (3.7774) Prec@1 22.266 (22.972) Prec@5 46.875 (46.552)
Epoch: [4][240/5005] Time 0.614 (0.629) Data 0.000 (0.019) Loss 3.6361 (3.7722) Prec@1 23.438 (23.013) Prec@5 48.047 (46.642)
Epoch: [4][250/5005] Time 0.618 (0.628) Data 0.000 (0.018) Loss 3.7660 (3.7707) Prec@1 21.875 (23.025) Prec@5 47.266 (46.660)
Epoch: [4][260/5005] Time 0.614 (0.627) Data 0.000 (0.017) Loss 3.8496 (3.7727) Prec@1 25.391 (23.005) Prec@5 48.047 (46.662)
Epoch: [4][270/5005] Time 0.605 (0.627) Data 0.000 (0.017) Loss 3.6494 (3.7739) Prec@1 23.438 (22.959) Prec@5 49.609 (46.626)
Epoch: [4][280/5005] Time 0.616 (0.626) Data 0.000 (0.016) Loss 3.6380 (3.7723) Prec@1 23.047 (22.957) Prec@5 50.781 (46.637)
Epoch: [4][290/5005] Time 0.606 (0.626) Data 0.000 (0.016) Loss 3.8869 (3.7753) Prec@1 21.094 (22.886) Prec@5 47.266 (46.577)
Epoch: [4][300/5005] Time 0.612 (0.626) Data 0.000 (0.015) Loss 3.7132 (3.7737) Prec@1 21.875 (22.911) Prec@5 48.047 (46.623)
Epoch: [4][310/5005] Time 0.608 (0.625) Data 0.000 (0.015) Loss 3.6636 (3.7715) Prec@1 21.875 (22.906) Prec@5 48.828 (46.654)
Epoch: [4][320/5005] Time 0.609 (0.625) Data 0.001 (0.014) Loss 3.8758 (3.7728) Prec@1 23.438 (22.920) Prec@5 46.484 (46.657)
Epoch: [4][330/5005] Time 0.609 (0.625) Data 0.000 (0.014) Loss 3.9544 (3.7714) Prec@1 21.094 (22.910) Prec@5 42.969 (46.624)
Epoch: [4][340/5005] Time 0.615 (0.624) Data 0.000 (0.013) Loss 3.7863 (3.7716) Prec@1 22.266 (22.931) Prec@5 44.531 (46.632)
Epoch: [4][350/5005] Time 0.615 (0.624) Data 0.000 (0.013) Loss 3.8420 (3.7731) Prec@1 22.656 (22.927) Prec@5 44.141 (46.595)
Epoch: [4][360/5005] Time 0.615 (0.624) Data 0.001 (0.013) Loss 3.9116 (3.7727) Prec@1 20.312 (22.915) Prec@5 42.188 (46.611)
Epoch: [4][370/5005] Time 0.609 (0.623) Data 0.000 (0.012) Loss 3.6834 (3.7715) Prec@1 22.266 (22.925) Prec@5 47.266 (46.630)
Epoch: [4][380/5005] Time 0.613 (0.623) Data 0.000 (0.012) Loss 3.8543 (3.7711) Prec@1 23.438 (22.951) Prec@5 42.969 (46.659)
Epoch: [4][390/5005] Time 0.608 (0.623) Data 0.000 (0.012) Loss 3.6810 (3.7727) Prec@1 26.172 (22.941) Prec@5 50.000 (46.656)
Epoch: [4][400/5005] Time 0.616 (0.623) Data 0.000 (0.011) Loss 3.8226 (3.7736) Prec@1 23.438 (22.940) Prec@5 44.141 (46.646)
Epoch: [4][410/5005] Time 0.610 (0.622) Data 0.000 (0.011) Loss 3.7856 (3.7736) Prec@1 23.438 (22.944) Prec@5 46.484 (46.635)
Epoch: [4][420/5005] Time 0.615 (0.622) Data 0.000 (0.011) Loss 3.9781 (3.7717) Prec@1 17.969 (22.978) Prec@5 42.969 (46.679)
Epoch: [4][430/5005] Time 0.607 (0.622) Data 0.000 (0.011) Loss 3.7960 (3.7714) Prec@1 21.875 (22.985) Prec@5 43.750 (46.684)
Epoch: [4][440/5005] Time 0.615 (0.622) Data 0.000 (0.010) Loss 3.8755 (3.7705) Prec@1 23.828 (23.015) Prec@5 46.875 (46.709)
Epoch: [4][450/5005] Time 0.614 (0.622) Data 0.000 (0.010) Loss 3.7203 (3.7687) Prec@1 25.391 (23.037) Prec@5 46.094 (46.721)
Epoch: [4][460/5005] Time 0.612 (0.622) Data 0.000 (0.010) Loss 3.5387 (3.7684) Prec@1 24.609 (23.038) Prec@5 48.047 (46.733)
Epoch: [4][470/5005] Time 0.609 (0.621) Data 0.000 (0.010) Loss 3.7211 (3.7679) Prec@1 24.609 (23.063) Prec@5 48.828 (46.736)
Epoch: [4][480/5005] Time 0.612 (0.621) Data 0.000 (0.010) Loss 3.8139 (3.7682) Prec@1 18.359 (23.070) Prec@5 44.531 (46.725)
Epoch: [4][490/5005] Time 0.610 (0.621) Data 0.000 (0.009) Loss 3.9455 (3.7687) Prec@1 18.750 (23.061) Prec@5 45.703 (46.724)
Epoch: [4][500/5005] Time 0.617 (0.621) Data 0.000 (0.009) Loss 3.5706 (3.7677) Prec@1 29.297 (23.069) Prec@5 50.000 (46.750)
Epoch: [4][510/5005] Time 0.615 (0.621) Data 0.000 (0.009) Loss 3.7146 (3.7663) Prec@1 23.828 (23.082) Prec@5 48.438 (46.769)
Epoch: [4][520/5005] Time 0.617 (0.621) Data 0.000 (0.009) Loss 3.9159 (3.7659) Prec@1 21.094 (23.097) Prec@5 42.969 (46.778)
Epoch: [4][530/5005] Time 0.612 (0.620) Data 0.000 (0.009) Loss 3.7146 (3.7661) Prec@1 21.875 (23.090) Prec@5 44.531 (46.772)
Epoch: [4][540/5005] Time 0.609 (0.620) Data 0.000 (0.009) Loss 3.8980 (3.7661) Prec@1 20.703 (23.097) Prec@5 42.188 (46.770)
Epoch: [4][550/5005] Time 0.619 (0.620) Data 0.000 (0.008) Loss 3.6365 (3.7647) Prec@1 23.438 (23.111) Prec@5 46.484 (46.793)
Epoch: [4][560/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 3.7833 (3.7641) Prec@1 20.312 (23.105) Prec@5 46.484 (46.793)
Epoch: [4][570/5005] Time 0.610 (0.620) Data 0.000 (0.008) Loss 3.5359 (3.7643) Prec@1 24.219 (23.116) Prec@5 51.562 (46.807)
Epoch: [4][580/5005] Time 0.619 (0.620) Data 0.000 (0.008) Loss 3.6996 (3.7639) Prec@1 21.875 (23.107) Prec@5 46.875 (46.800)
Epoch: [4][590/5005] Time 0.608 (0.620) Data 0.000 (0.008) Loss 3.6235 (3.7627) Prec@1 23.438 (23.121) Prec@5 47.266 (46.804)
Epoch: [4][600/5005] Time 0.617 (0.620) Data 0.000 (0.008) Loss 3.4857 (3.7614) Prec@1 26.953 (23.136) Prec@5 52.344 (46.830)
Epoch: [4][610/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 3.9741 (3.7627) Prec@1 23.047 (23.131) Prec@5 44.531 (46.832)
Epoch: [4][620/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 3.6522 (3.7623) Prec@1 25.781 (23.144) Prec@5 48.047 (46.835)
Epoch: [4][630/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 3.7098 (3.7626) Prec@1 22.656 (23.142) Prec@5 46.094 (46.825)
Epoch: [4][640/5005] Time 0.609 (0.619) Data 0.000 (0.007) Loss 3.5746 (3.7613) Prec@1 26.562 (23.175) Prec@5 46.875 (46.848)
Epoch: [4][650/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 3.7424 (3.7612) Prec@1 25.391 (23.181) Prec@5 47.266 (46.855)
Epoch: [4][660/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 3.8663 (3.7607) Prec@1 24.219 (23.181) Prec@5 46.094 (46.877)
Epoch: [4][670/5005] Time 0.619 (0.619) Data 0.000 (0.007) Loss 3.6843 (3.7604) Prec@1 26.562 (23.184) Prec@5 50.000 (46.890)
Epoch: [4][680/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 3.7741 (3.7604) Prec@1 22.266 (23.182) Prec@5 47.656 (46.890)
Epoch: [4][690/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 3.6287 (3.7610) Prec@1 22.266 (23.175) Prec@5 50.000 (46.889)
Epoch: [4][700/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 3.6693 (3.7607) Prec@1 22.656 (23.153) Prec@5 46.875 (46.896)
Epoch: [4][710/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 3.6711 (3.7596) Prec@1 23.438 (23.175) Prec@5 50.781 (46.916)
Epoch: [4][720/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 3.5835 (3.7593) Prec@1 26.953 (23.180) Prec@5 48.438 (46.911)
Epoch: [4][730/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 3.6413 (3.7584) Prec@1 24.609 (23.193) Prec@5 48.047 (46.932)
Epoch: [4][740/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 3.7198 (3.7577) Prec@1 22.266 (23.188) Prec@5 50.391 (46.955)
Epoch: [4][750/5005] Time 0.610 (0.619) Data 0.000 (0.006) Loss 3.7201 (3.7570) Prec@1 19.922 (23.206) Prec@5 46.875 (46.964)
Epoch: [4][760/5005] Time 0.606 (0.618) Data 0.000 (0.006) Loss 3.6924 (3.7571) Prec@1 22.656 (23.195) Prec@5 48.828 (46.966)
Epoch: [4][770/5005] Time 0.615 (0.618) Data 0.000 (0.006) Loss 3.6602 (3.7577) Prec@1 25.391 (23.184) Prec@5 51.562 (46.960)
Epoch: [4][780/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 3.5219 (3.7564) Prec@1 27.344 (23.201) Prec@5 50.000 (46.978)
Epoch: [4][790/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 3.7585 (3.7565) Prec@1 20.703 (23.193) Prec@5 52.734 (46.992)
Epoch: [4][800/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 3.8783 (3.7565) Prec@1 17.578 (23.188) Prec@5 48.438 (46.992)
Epoch: [4][810/5005] Time 0.605 (0.618) Data 0.000 (0.006) Loss 3.5648 (3.7574) Prec@1 27.734 (23.189) Prec@5 50.781 (46.977)
Epoch: [4][820/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 3.5605 (3.7568) Prec@1 18.750 (23.191) Prec@5 48.438 (46.987)
Epoch: [4][830/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 3.5536 (3.7571) Prec@1 28.125 (23.181) Prec@5 52.344 (46.991)
Epoch: [4][840/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 3.8825 (3.7572) Prec@1 18.750 (23.169) Prec@5 43.359 (46.989)
Epoch: [4][850/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 3.9111 (3.7569) Prec@1 18.359 (23.167) Prec@5 44.922 (47.000)
Epoch: [4][860/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 3.8913 (3.7564) Prec@1 20.312 (23.178) Prec@5 46.094 (47.022)
Epoch: [4][870/5005] Time 0.622 (0.618) Data 0.000 (0.005) Loss 3.7133 (3.7568) Prec@1 23.438 (23.178) Prec@5 51.172 (47.027)
Epoch: [4][880/5005] Time 0.615 (0.618) Data 0.000 (0.005) Loss 3.7715 (3.7563) Prec@1 23.828 (23.193) Prec@5 48.047 (47.042)
Epoch: [4][890/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 3.7727 (3.7551) Prec@1 23.438 (23.198) Prec@5 44.141 (47.055)
Epoch: [4][900/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 3.9099 (3.7547) Prec@1 19.922 (23.201) Prec@5 46.094 (47.061)
Epoch: [4][910/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 4.0257 (3.7550) Prec@1 19.922 (23.202) Prec@5 42.969 (47.056)
Epoch: [4][920/5005] Time 0.615 (0.618) Data 0.000 (0.005) Loss 3.7954 (3.7546) Prec@1 25.391 (23.206) Prec@5 46.875 (47.059)
Epoch: [4][930/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 3.8650 (3.7540) Prec@1 20.703 (23.211) Prec@5 45.703 (47.070)
Epoch: [4][940/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 3.7459 (3.7533) Prec@1 19.531 (23.212) Prec@5 49.609 (47.087)
Epoch: [4][950/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 3.8195 (3.7530) Prec@1 17.969 (23.218) Prec@5 44.531 (47.092)
Epoch: [4][960/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 3.5601 (3.7518) Prec@1 26.172 (23.246) Prec@5 50.391 (47.121)
Epoch: [4][970/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 3.6786 (3.7515) Prec@1 24.609 (23.254) Prec@5 47.656 (47.127)
Epoch: [4][980/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 3.7484 (3.7514) Prec@1 24.609 (23.260) Prec@5 45.703 (47.129)
Epoch: [4][990/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.5882 (3.7512) Prec@1 24.219 (23.264) Prec@5 50.391 (47.123)
Epoch: [4][1000/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 3.7509 (3.7516) Prec@1 23.438 (23.249) Prec@5 47.656 (47.117)
Epoch: [4][1010/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.6838 (3.7513) Prec@1 24.609 (23.251) Prec@5 50.000 (47.132)
Epoch: [4][1020/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 3.8216 (3.7511) Prec@1 20.312 (23.247) Prec@5 46.484 (47.136)
Epoch: [4][1030/5005] Time 0.616 (0.617) Data 0.001 (0.005) Loss 3.5706 (3.7506) Prec@1 26.953 (23.271) Prec@5 49.609 (47.159)
Epoch: [4][1040/5005] Time 0.618 (0.617) Data 0.000 (0.005) Loss 3.6548 (3.7499) Prec@1 21.094 (23.281) Prec@5 47.656 (47.168)
Epoch: [4][1050/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 3.6647 (3.7498) Prec@1 24.219 (23.284) Prec@5 50.781 (47.164)
Epoch: [4][1060/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.7279 (3.7492) Prec@1 20.703 (23.292) Prec@5 46.875 (47.177)
Epoch: [4][1070/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 3.7296 (3.7487) Prec@1 21.484 (23.304) Prec@5 47.266 (47.187)
Epoch: [4][1080/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 3.7886 (3.7486) Prec@1 25.391 (23.303) Prec@5 47.266 (47.189)
Epoch: [4][1090/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.7354 (3.7483) Prec@1 23.438 (23.315) Prec@5 47.266 (47.190)
Epoch: [4][1100/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.9544 (3.7481) Prec@1 17.578 (23.317) Prec@5 41.406 (47.198)
Epoch: [4][1110/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.7600 (3.7478) Prec@1 23.047 (23.325) Prec@5 45.312 (47.188)
Epoch: [4][1120/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 3.6347 (3.7474) Prec@1 25.000 (23.326) Prec@5 51.562 (47.194)
Epoch: [4][1130/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.6332 (3.7472) Prec@1 21.875 (23.331) Prec@5 48.438 (47.202)
Epoch: [4][1140/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 3.7157 (3.7468) Prec@1 19.922 (23.336) Prec@5 48.047 (47.201)
Epoch: [4][1150/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 3.6990 (3.7470) Prec@1 19.141 (23.326) Prec@5 49.219 (47.198)
Epoch: [4][1160/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 4.0648 (3.7466) Prec@1 18.359 (23.338) Prec@5 40.625 (47.204)
Epoch: [4][1170/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 3.7945 (3.7467) Prec@1 24.609 (23.341) Prec@5 45.312 (47.209)
Epoch: [4][1180/5005] Time 0.621 (0.617) Data 0.000 (0.004) Loss 3.7626 (3.7463) Prec@1 22.656 (23.350) Prec@5 44.531 (47.221)
Epoch: [4][1190/5005] Time 0.606 (0.617) Data 0.000 (0.004) Loss 3.6934 (3.7459) Prec@1 22.656 (23.350) Prec@5 46.875 (47.225)
Epoch: [4][1200/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 3.7728 (3.7460) Prec@1 25.000 (23.349) Prec@5 44.141 (47.225)
Epoch: [4][1210/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 3.5637 (3.7460) Prec@1 24.609 (23.357) Prec@5 50.781 (47.227)
Epoch: [4][1220/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 3.4403 (3.7455) Prec@1 23.047 (23.364) Prec@5 50.781 (47.232)
Epoch: [4][1230/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.9548 (3.7458) Prec@1 22.266 (23.351) Prec@5 45.703 (47.221)
Epoch: [4][1240/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 3.6331 (3.7452) Prec@1 28.906 (23.356) Prec@5 51.172 (47.235)
Epoch: [4][1250/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.7144 (3.7443) Prec@1 24.609 (23.363) Prec@5 48.047 (47.249)
Epoch: [4][1260/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.4702 (3.7435) Prec@1 26.953 (23.377) Prec@5 55.078 (47.263)
Epoch: [4][1270/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.8409 (3.7434) Prec@1 19.531 (23.378) Prec@5 44.922 (47.270)
Epoch: [4][1280/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 3.7854 (3.7434) Prec@1 25.391 (23.378) Prec@5 46.094 (47.275)
Epoch: [4][1290/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 3.5815 (3.7428) Prec@1 26.953 (23.377) Prec@5 50.000 (47.289)
Epoch: [4][1300/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.8324 (3.7429) Prec@1 24.219 (23.390) Prec@5 45.312 (47.285)
Epoch: [4][1310/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 3.7500 (3.7426) Prec@1 23.438 (23.395) Prec@5 45.703 (47.288)
Epoch: [4][1320/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.4094 (3.7424) Prec@1 28.125 (23.398) Prec@5 51.562 (47.299)
Epoch: [4][1330/5005] Time 0.604 (0.616) Data 0.000 (0.004) Loss 3.6311 (3.7425) Prec@1 25.000 (23.402) Prec@5 48.438 (47.293)
Epoch: [4][1340/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.5137 (3.7424) Prec@1 24.609 (23.401) Prec@5 54.297 (47.293)
Epoch: [4][1350/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 3.7267 (3.7420) Prec@1 23.438 (23.413) Prec@5 44.141 (47.304)
Epoch: [4][1360/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 3.8409 (3.7414) Prec@1 18.750 (23.429) Prec@5 47.656 (47.321)
Epoch: [4][1370/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 3.4969 (3.7409) Prec@1 24.219 (23.442) Prec@5 51.562 (47.331)
Epoch: [4][1380/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 3.6084 (3.7402) Prec@1 26.172 (23.451) Prec@5 51.953 (47.343)
Epoch: [4][1390/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 3.5481 (3.7401) Prec@1 25.781 (23.450) Prec@5 51.562 (47.336)
Epoch: [4][1400/5005] Time 0.616 (0.616) Data 0.001 (0.004) Loss 3.6739 (3.7395) Prec@1 28.125 (23.460) Prec@5 49.609 (47.349)
Epoch: [4][1410/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 3.8500 (3.7400) Prec@1 23.438 (23.458) Prec@5 42.578 (47.345)
Epoch: [4][1420/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.9049 (3.7397) Prec@1 18.750 (23.454) Prec@5 41.406 (47.347)
Epoch: [4][1430/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 3.7746 (3.7396) Prec@1 21.484 (23.448) Prec@5 46.875 (47.347)
Epoch: [4][1440/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 3.6814 (3.7390) Prec@1 22.266 (23.452) Prec@5 48.438 (47.358)
Epoch: [4][1450/5005] Time 0.622 (0.616) Data 0.001 (0.003) Loss 3.9593 (3.7393) Prec@1 21.094 (23.455) Prec@5 44.141 (47.351)
Epoch: [4][1460/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.5965 (3.7390) Prec@1 23.828 (23.454) Prec@5 50.000 (47.355)
Epoch: [4][1470/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.9350 (3.7385) Prec@1 20.703 (23.458) Prec@5 45.703 (47.364)
Epoch: [4][1480/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.7602 (3.7384) Prec@1 19.141 (23.454) Prec@5 46.484 (47.364)
Epoch: [4][1490/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.3587 (3.7377) Prec@1 30.078 (23.467) Prec@5 55.859 (47.377)
Epoch: [4][1500/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.6310 (3.7373) Prec@1 28.516 (23.482) Prec@5 48.438 (47.391)
Epoch: [4][1510/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.6625 (3.7375) Prec@1 25.391 (23.476) Prec@5 51.562 (47.395)
Epoch: [4][1520/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.7562 (3.7377) Prec@1 21.875 (23.477) Prec@5 47.656 (47.385)
Epoch: [4][1530/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 3.6650 (3.7375) Prec@1 28.906 (23.487) Prec@5 48.438 (47.388)
Epoch: [4][1540/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.7027 (3.7375) Prec@1 27.734 (23.491) Prec@5 48.438 (47.387)
Epoch: [4][1550/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.5663 (3.7375) Prec@1 22.266 (23.489) Prec@5 50.391 (47.394)
Epoch: [4][1560/5005] Time 0.604 (0.616) Data 0.000 (0.003) Loss 3.8421 (3.7373) Prec@1 19.531 (23.482) Prec@5 43.750 (47.399)
Epoch: [4][1570/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.7135 (3.7368) Prec@1 24.219 (23.488) Prec@5 50.000 (47.415)
Epoch: [4][1580/5005] Time 0.615 (0.616) Data 0.001 (0.003) Loss 3.8742 (3.7365) Prec@1 20.703 (23.487) Prec@5 44.531 (47.416)
Epoch: [4][1590/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.9207 (3.7363) Prec@1 21.484 (23.484) Prec@5 44.922 (47.422)
Epoch: [4][1600/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.9226 (3.7360) Prec@1 19.922 (23.488) Prec@5 42.188 (47.421)
Epoch: [4][1610/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.5785 (3.7361) Prec@1 29.297 (23.493) Prec@5 51.172 (47.421)
Epoch: [4][1620/5005] Time 0.623 (0.616) Data 0.000 (0.003) Loss 3.6133 (3.7361) Prec@1 29.297 (23.496) Prec@5 53.906 (47.426)
Epoch: [4][1630/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.6517 (3.7355) Prec@1 25.391 (23.504) Prec@5 49.609 (47.438)
Epoch: [4][1640/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 3.7597 (3.7358) Prec@1 23.828 (23.495) Prec@5 52.344 (47.434)
Epoch: [4][1650/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.6184 (3.7355) Prec@1 26.172 (23.499) Prec@5 51.953 (47.438)
Epoch: [4][1660/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.5070 (3.7352) Prec@1 29.297 (23.510) Prec@5 52.734 (47.444)
Epoch: [4][1670/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 3.6178 (3.7347) Prec@1 26.172 (23.517) Prec@5 51.562 (47.452)
Epoch: [4][1680/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.5429 (3.7345) Prec@1 28.906 (23.524) Prec@5 50.000 (47.448)
Epoch: [4][1690/5005] Time 0.613 (0.616) Data 0.001 (0.003) Loss 3.5249 (3.7339) Prec@1 29.297 (23.537) Prec@5 51.562 (47.463)
Epoch: [4][1700/5005] Time 0.596 (0.616) Data 0.001 (0.003) Loss 3.6760 (3.7339) Prec@1 26.172 (23.535) Prec@5 47.656 (47.464)
Epoch: [4][1710/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.5114 (3.7334) Prec@1 22.266 (23.535) Prec@5 53.516 (47.472)
Epoch: [4][1720/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.7268 (3.7330) Prec@1 22.656 (23.543) Prec@5 46.094 (47.476)
Epoch: [4][1730/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 3.7002 (3.7333) Prec@1 21.875 (23.536) Prec@5 49.609 (47.466)
Epoch: [4][1740/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.6774 (3.7331) Prec@1 23.438 (23.539) Prec@5 48.438 (47.471)
Epoch: [4][1750/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.7499 (3.7330) Prec@1 21.875 (23.539) Prec@5 46.484 (47.466)
Epoch: [4][1760/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.8150 (3.7328) Prec@1 24.219 (23.542) Prec@5 45.312 (47.470)
Epoch: [4][1770/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.7170 (3.7322) Prec@1 25.391 (23.552) Prec@5 48.828 (47.482)
Epoch: [4][1780/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.7574 (3.7313) Prec@1 24.609 (23.561) Prec@5 45.312 (47.496)
Epoch: [4][1790/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 3.6004 (3.7312) Prec@1 26.562 (23.562) Prec@5 51.562 (47.497)
Epoch: [4][1800/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.3740 (3.7306) Prec@1 29.688 (23.573) Prec@5 50.391 (47.507)
Epoch: [4][1810/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.6076 (3.7306) Prec@1 24.219 (23.577) Prec@5 46.484 (47.510)
Epoch: [4][1820/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 3.7771 (3.7302) Prec@1 20.312 (23.582) Prec@5 42.578 (47.510)
Epoch: [4][1830/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 3.7798 (3.7301) Prec@1 24.219 (23.587) Prec@5 49.609 (47.515)
Epoch: [4][1840/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.5368 (3.7296) Prec@1 28.125 (23.603) Prec@5 50.391 (47.522)
Epoch: [4][1850/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 3.8187 (3.7292) Prec@1 19.531 (23.601) Prec@5 46.094 (47.529)
Epoch: [4][1860/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.6657 (3.7288) Prec@1 23.047 (23.611) Prec@5 53.125 (47.539)
Epoch: [4][1870/5005] Time 0.626 (0.615) Data 0.000 (0.003) Loss 3.6186 (3.7284) Prec@1 23.828 (23.614) Prec@5 49.609 (47.546)
Epoch: [4][1880/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.6700 (3.7282) Prec@1 23.828 (23.617) Prec@5 51.172 (47.550)
Epoch: [4][1890/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 3.8092 (3.7280) Prec@1 22.656 (23.619) Prec@5 42.578 (47.549)
Epoch: [4][1900/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.4644 (3.7279) Prec@1 26.172 (23.621) Prec@5 56.641 (47.554)
Epoch: [4][1910/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 3.5051 (3.7273) Prec@1 26.172 (23.630) Prec@5 48.047 (47.563)
Epoch: [4][1920/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.4214 (3.7270) Prec@1 26.562 (23.629) Prec@5 50.000 (47.568)
Epoch: [4][1930/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.8718 (3.7265) Prec@1 24.609 (23.634) Prec@5 44.922 (47.580)
Epoch: [4][1940/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 3.5463 (3.7263) Prec@1 25.781 (23.633) Prec@5 49.609 (47.578)
Epoch: [4][1950/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.8983 (3.7260) Prec@1 22.266 (23.646) Prec@5 46.875 (47.589)
Epoch: [4][1960/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.7905 (3.7256) Prec@1 20.312 (23.648) Prec@5 43.750 (47.595)
Epoch: [4][1970/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.2323 (3.7250) Prec@1 30.078 (23.663) Prec@5 53.906 (47.602)
Epoch: [4][1980/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.8198 (3.7254) Prec@1 23.438 (23.659) Prec@5 42.969 (47.593)
Epoch: [4][1990/5005] Time 0.604 (0.615) Data 0.000 (0.003) Loss 3.7125 (3.7255) Prec@1 24.219 (23.657) Prec@5 46.875 (47.590)
Epoch: [4][2000/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.7397 (3.7254) Prec@1 25.391 (23.663) Prec@5 45.703 (47.595)
Epoch: [4][2010/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.4126 (3.7244) Prec@1 30.469 (23.680) Prec@5 53.125 (47.612)
Epoch: [4][2020/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.4278 (3.7238) Prec@1 25.781 (23.684) Prec@5 53.125 (47.621)
Epoch: [4][2030/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 3.5055 (3.7229) Prec@1 24.219 (23.698) Prec@5 52.734 (47.638)
Epoch: [4][2040/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 3.7716 (3.7226) Prec@1 26.953 (23.707) Prec@5 46.875 (47.644)
Epoch: [4][2050/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.6642 (3.7222) Prec@1 21.875 (23.707) Prec@5 46.484 (47.651)
Epoch: [4][2060/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.6567 (3.7218) Prec@1 23.828 (23.715) Prec@5 49.219 (47.652)
Epoch: [4][2070/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.7951 (3.7217) Prec@1 22.266 (23.719) Prec@5 45.312 (47.653)
Epoch: [4][2080/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 3.7396 (3.7215) Prec@1 23.828 (23.722) Prec@5 48.047 (47.657)
Epoch: [4][2090/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.7870 (3.7213) Prec@1 25.391 (23.728) Prec@5 42.578 (47.662)
Epoch: [4][2100/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 3.7745 (3.7208) Prec@1 21.094 (23.732) Prec@5 44.141 (47.670)
Epoch: [4][2110/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.3609 (3.7205) Prec@1 30.469 (23.742) Prec@5 52.734 (47.673)
Epoch: [4][2120/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 3.3984 (3.7202) Prec@1 30.859 (23.751) Prec@5 54.297 (47.680)
Epoch: [4][2130/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 3.5483 (3.7198) Prec@1 26.562 (23.758) Prec@5 53.516 (47.687)
Epoch: [4][2140/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 3.4951 (3.7194) Prec@1 26.953 (23.767) Prec@5 53.516 (47.699)
Epoch: [4][2150/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.7092 (3.7191) Prec@1 24.609 (23.771) Prec@5 48.828 (47.703)
Epoch: [4][2160/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2866 (3.7187) Prec@1 31.641 (23.781) Prec@5 57.031 (47.715)
Epoch: [4][2170/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.4622 (3.7185) Prec@1 27.344 (23.783) Prec@5 51.953 (47.716)
Epoch: [4][2180/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.6296 (3.7182) Prec@1 27.344 (23.786) Prec@5 52.734 (47.722)
Epoch: [4][2190/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.8686 (3.7180) Prec@1 23.438 (23.790) Prec@5 46.094 (47.720)
Epoch: [4][2200/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.6780 (3.7177) Prec@1 24.609 (23.792) Prec@5 51.562 (47.724)
Epoch: [4][2210/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.5127 (3.7175) Prec@1 23.828 (23.792) Prec@5 48.828 (47.726)
Epoch: [4][2220/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.7623 (3.7172) Prec@1 26.562 (23.795) Prec@5 52.344 (47.732)
Epoch: [4][2230/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.7281 (3.7170) Prec@1 27.734 (23.806) Prec@5 47.656 (47.741)
Epoch: [4][2240/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.6022 (3.7164) Prec@1 26.172 (23.811) Prec@5 48.047 (47.754)
Epoch: [4][2250/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.6583 (3.7157) Prec@1 22.656 (23.818) Prec@5 49.219 (47.771)
Epoch: [4][2260/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.6744 (3.7152) Prec@1 23.047 (23.820) Prec@5 49.219 (47.782)
Epoch: [4][2270/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.5922 (3.7148) Prec@1 25.391 (23.830) Prec@5 49.609 (47.783)
Epoch: [4][2280/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 3.4845 (3.7144) Prec@1 26.953 (23.836) Prec@5 53.125 (47.791)
Epoch: [4][2290/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 3.6495 (3.7143) Prec@1 23.438 (23.832) Prec@5 48.828 (47.788)
Epoch: [4][2300/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.5859 (3.7138) Prec@1 24.609 (23.840) Prec@5 47.266 (47.795)
Epoch: [4][2310/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 3.5327 (3.7133) Prec@1 25.781 (23.847) Prec@5 50.000 (47.803)
Epoch: [4][2320/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.5923 (3.7131) Prec@1 26.562 (23.851) Prec@5 49.219 (47.808)
Epoch: [4][2330/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.6379 (3.7124) Prec@1 26.172 (23.862) Prec@5 47.656 (47.822)
Epoch: [4][2340/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.4810 (3.7119) Prec@1 26.172 (23.873) Prec@5 51.172 (47.832)
Epoch: [4][2350/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.5778 (3.7117) Prec@1 24.219 (23.878) Prec@5 48.438 (47.834)
Epoch: [4][2360/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.6313 (3.7114) Prec@1 25.391 (23.885) Prec@5 50.781 (47.843)
Epoch: [4][2370/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.6512 (3.7113) Prec@1 24.219 (23.886) Prec@5 50.000 (47.847)
Epoch: [4][2380/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.6653 (3.7109) Prec@1 22.656 (23.891) Prec@5 50.781 (47.857)
Epoch: [4][2390/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 3.6379 (3.7107) Prec@1 25.391 (23.895) Prec@5 51.172 (47.858)
Epoch: [4][2400/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.5869 (3.7105) Prec@1 28.125 (23.896) Prec@5 48.438 (47.864)
Epoch: [4][2410/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.6743 (3.7106) Prec@1 25.000 (23.896) Prec@5 44.141 (47.864)
Epoch: [4][2420/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.5705 (3.7101) Prec@1 22.656 (23.899) Prec@5 48.047 (47.866)
Epoch: [4][2430/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 3.7490 (3.7097) Prec@1 20.703 (23.905) Prec@5 46.875 (47.873)
Epoch: [4][2440/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.6698 (3.7097) Prec@1 22.656 (23.904) Prec@5 48.828 (47.871)
Epoch: [4][2450/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.7223 (3.7094) Prec@1 23.047 (23.912) Prec@5 48.047 (47.877)
Epoch: [4][2460/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.3313 (3.7088) Prec@1 26.953 (23.924) Prec@5 54.297 (47.892)
Epoch: [4][2470/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.7215 (3.7085) Prec@1 25.000 (23.928) Prec@5 47.656 (47.898)
Epoch: [4][2480/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.7210 (3.7080) Prec@1 25.000 (23.942) Prec@5 47.656 (47.910)
Epoch: [4][2490/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.8725 (3.7081) Prec@1 18.750 (23.942) Prec@5 45.312 (47.910)
Epoch: [4][2500/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.7658 (3.7078) Prec@1 23.828 (23.948) Prec@5 47.266 (47.914)
Epoch: [4][2510/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.7626 (3.7074) Prec@1 24.609 (23.957) Prec@5 46.484 (47.927)
Epoch: [4][2520/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.8417 (3.7072) Prec@1 22.656 (23.963) Prec@5 47.266 (47.933)
Epoch: [4][2530/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.5773 (3.7068) Prec@1 27.734 (23.965) Prec@5 50.391 (47.942)
Epoch: [4][2540/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.8200 (3.7066) Prec@1 22.656 (23.970) Prec@5 43.750 (47.951)
Epoch: [4][2550/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.5707 (3.7067) Prec@1 25.391 (23.967) Prec@5 46.094 (47.943)
Epoch: [4][2560/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.7451 (3.7064) Prec@1 26.953 (23.969) Prec@5 50.391 (47.947)
Epoch: [4][2570/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.5700 (3.7057) Prec@1 25.000 (23.981) Prec@5 51.562 (47.960)
Epoch: [4][2580/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.7625 (3.7057) Prec@1 26.562 (23.987) Prec@5 48.438 (47.964)
Epoch: [4][2590/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.6949 (3.7055) Prec@1 26.562 (23.994) Prec@5 50.391 (47.968)
Epoch: [4][2600/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.6835 (3.7051) Prec@1 23.828 (24.003) Prec@5 44.922 (47.973)
Epoch: [4][2610/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.8312 (3.7048) Prec@1 20.703 (24.008) Prec@5 43.359 (47.978)
Epoch: [4][2620/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.7988 (3.7042) Prec@1 26.562 (24.018) Prec@5 46.094 (47.988)
Epoch: [4][2630/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.8322 (3.7040) Prec@1 21.484 (24.019) Prec@5 50.000 (47.994)
Epoch: [4][2640/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.4465 (3.7034) Prec@1 28.125 (24.028) Prec@5 52.734 (48.003)
Epoch: [4][2650/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.6693 (3.7030) Prec@1 27.344 (24.034) Prec@5 49.219 (48.008)
Epoch: [4][2660/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.6939 (3.7027) Prec@1 25.391 (24.040) Prec@5 48.047 (48.010)
Epoch: [4][2670/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.5998 (3.7026) Prec@1 26.172 (24.044) Prec@5 54.297 (48.018)
Epoch: [4][2680/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.8073 (3.7024) Prec@1 21.875 (24.046) Prec@5 47.656 (48.023)
Epoch: [4][2690/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.4742 (3.7017) Prec@1 26.172 (24.056) Prec@5 51.562 (48.033)
Epoch: [4][2700/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.3883 (3.7013) Prec@1 28.906 (24.067) Prec@5 55.859 (48.041)
Epoch: [4][2710/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.5715 (3.7007) Prec@1 27.344 (24.077) Prec@5 50.391 (48.050)
Epoch: [4][2720/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 4.0230 (3.7007) Prec@1 17.578 (24.077) Prec@5 41.797 (48.049)
Epoch: [4][2730/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.5972 (3.7003) Prec@1 27.344 (24.085) Prec@5 50.391 (48.058)
Epoch: [4][2740/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.5647 (3.7000) Prec@1 26.562 (24.094) Prec@5 53.906 (48.067)
Epoch: [4][2750/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.5365 (3.6994) Prec@1 25.391 (24.102) Prec@5 55.078 (48.079)
Epoch: [4][2760/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.5042 (3.6989) Prec@1 26.953 (24.108) Prec@5 53.516 (48.090)
Epoch: [4][2770/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.6555 (3.6986) Prec@1 19.141 (24.109) Prec@5 46.875 (48.099)
Epoch: [4][2780/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 3.2974 (3.6979) Prec@1 26.562 (24.118) Prec@5 50.781 (48.110)
Epoch: [4][2790/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.3542 (3.6975) Prec@1 30.078 (24.122) Prec@5 51.953 (48.114)
Epoch: [4][2800/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.6415 (3.6970) Prec@1 26.172 (24.127) Prec@5 53.516 (48.123)
Epoch: [4][2810/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.7659 (3.6967) Prec@1 27.734 (24.134) Prec@5 48.438 (48.128)
Epoch: [4][2820/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3932 (3.6964) Prec@1 31.641 (24.143) Prec@5 54.688 (48.132)
Epoch: [4][2830/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.7065 (3.6963) Prec@1 21.484 (24.142) Prec@5 46.094 (48.138)
Epoch: [4][2840/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.5848 (3.6962) Prec@1 25.000 (24.142) Prec@5 50.391 (48.142)
Epoch: [4][2850/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.6782 (3.6961) Prec@1 26.953 (24.145) Prec@5 51.172 (48.145)
Epoch: [4][2860/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.4621 (3.6957) Prec@1 23.047 (24.152) Prec@5 49.609 (48.153)
Epoch: [4][2870/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 4.0224 (3.6957) Prec@1 20.312 (24.152) Prec@5 44.141 (48.153)
Epoch: [4][2880/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.6524 (3.6951) Prec@1 26.953 (24.161) Prec@5 48.438 (48.161)
Epoch: [4][2890/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3589 (3.6947) Prec@1 28.516 (24.167) Prec@5 52.344 (48.166)
Epoch: [4][2900/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.6848 (3.6944) Prec@1 23.438 (24.175) Prec@5 45.703 (48.171)
Epoch: [4][2910/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.7747 (3.6939) Prec@1 22.656 (24.180) Prec@5 43.359 (48.181)
Epoch: [4][2920/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.6494 (3.6935) Prec@1 21.484 (24.185) Prec@5 44.922 (48.187)
Epoch: [4][2930/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.7058 (3.6934) Prec@1 25.000 (24.187) Prec@5 46.484 (48.193)
Epoch: [4][2940/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.8899 (3.6930) Prec@1 19.141 (24.189) Prec@5 45.312 (48.198)
Epoch: [4][2950/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.9472 (3.6929) Prec@1 23.047 (24.194) Prec@5 46.875 (48.202)
Epoch: [4][2960/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 4.0103 (3.6930) Prec@1 21.484 (24.192) Prec@5 42.578 (48.202)
Epoch: [4][2970/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.6218 (3.6925) Prec@1 22.656 (24.195) Prec@5 48.828 (48.209)
Epoch: [4][2980/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.8067 (3.6925) Prec@1 23.438 (24.194) Prec@5 44.141 (48.208)
Epoch: [4][2990/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4348 (3.6920) Prec@1 25.391 (24.199) Prec@5 50.391 (48.217)
Epoch: [4][3000/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4456 (3.6914) Prec@1 28.906 (24.212) Prec@5 53.906 (48.231)
Epoch: [4][3010/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.6526 (3.6912) Prec@1 26.953 (24.215) Prec@5 48.828 (48.235)
Epoch: [4][3020/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.6573 (3.6908) Prec@1 23.828 (24.216) Prec@5 50.781 (48.245)
Epoch: [4][3030/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.7014 (3.6905) Prec@1 19.141 (24.220) Prec@5 46.875 (48.247)
Epoch: [4][3040/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.9899 (3.6904) Prec@1 19.922 (24.220) Prec@5 42.578 (48.246)
Epoch: [4][3050/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.6652 (3.6901) Prec@1 24.219 (24.225) Prec@5 48.047 (48.252)
Epoch: [4][3060/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.7456 (3.6897) Prec@1 24.219 (24.231) Prec@5 42.969 (48.258)
Epoch: [4][3070/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.4544 (3.6894) Prec@1 26.562 (24.233) Prec@5 50.391 (48.262)
Epoch: [4][3080/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.5794 (3.6889) Prec@1 27.734 (24.239) Prec@5 51.562 (48.275)
Epoch: [4][3090/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.7251 (3.6886) Prec@1 24.219 (24.245) Prec@5 47.266 (48.280)
Epoch: [4][3100/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.3760 (3.6880) Prec@1 25.000 (24.251) Prec@5 51.562 (48.292)
Epoch: [4][3110/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 3.5675 (3.6877) Prec@1 25.781 (24.255) Prec@5 49.219 (48.297)
Epoch: [4][3120/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.3419 (3.6872) Prec@1 32.031 (24.267) Prec@5 55.859 (48.308)
Epoch: [4][3130/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.5124 (3.6868) Prec@1 27.734 (24.274) Prec@5 51.562 (48.313)
Epoch: [4][3140/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.4829 (3.6866) Prec@1 27.344 (24.274) Prec@5 52.344 (48.316)
Epoch: [4][3150/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.4695 (3.6862) Prec@1 28.906 (24.281) Prec@5 54.688 (48.326)
Epoch: [4][3160/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.4700 (3.6857) Prec@1 26.562 (24.288) Prec@5 51.172 (48.334)
Epoch: [4][3170/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.2118 (3.6854) Prec@1 29.688 (24.292) Prec@5 58.203 (48.341)
Epoch: [4][3180/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.4712 (3.6850) Prec@1 29.688 (24.297) Prec@5 53.125 (48.345)
Epoch: [4][3190/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.4525 (3.6849) Prec@1 30.078 (24.297) Prec@5 51.953 (48.347)
Epoch: [4][3200/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.3598 (3.6841) Prec@1 30.859 (24.307) Prec@5 53.516 (48.362)
Epoch: [4][3210/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.5849 (3.6838) Prec@1 22.266 (24.308) Prec@5 46.094 (48.367)
Epoch: [4][3220/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.4810 (3.6834) Prec@1 26.562 (24.315) Prec@5 55.078 (48.373)
Epoch: [4][3230/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.4009 (3.6830) Prec@1 27.344 (24.319) Prec@5 53.906 (48.384)
Epoch: [4][3240/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.6556 (3.6827) Prec@1 25.000 (24.324) Prec@5 47.266 (48.389)
Epoch: [4][3250/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.7152 (3.6824) Prec@1 26.562 (24.329) Prec@5 51.562 (48.395)
Epoch: [4][3260/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.4493 (3.6820) Prec@1 24.219 (24.337) Prec@5 53.516 (48.404)
Epoch: [4][3270/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.5858 (3.6816) Prec@1 25.391 (24.343) Prec@5 49.219 (48.411)
Epoch: [4][3280/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.4313 (3.6812) Prec@1 28.906 (24.348) Prec@5 57.422 (48.418)
Epoch: [4][3290/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.4283 (3.6807) Prec@1 28.516 (24.356) Prec@5 50.391 (48.430)
Epoch: [4][3300/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.4172 (3.6805) Prec@1 28.125 (24.358) Prec@5 50.781 (48.431)
Epoch: [4][3310/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.6612 (3.6803) Prec@1 23.438 (24.357) Prec@5 46.484 (48.435)
Epoch: [4][3320/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.6727 (3.6800) Prec@1 24.219 (24.361) Prec@5 48.047 (48.440)
Epoch: [4][3330/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.2229 (3.6798) Prec@1 28.125 (24.365) Prec@5 56.250 (48.442)
Epoch: [4][3340/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.5926 (3.6796) Prec@1 22.656 (24.368) Prec@5 47.656 (48.445)
Epoch: [4][3350/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.5336 (3.6793) Prec@1 27.344 (24.375) Prec@5 52.734 (48.453)
Epoch: [4][3360/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.4714 (3.6788) Prec@1 25.000 (24.384) Prec@5 51.562 (48.461)
Epoch: [4][3370/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 3.6432 (3.6782) Prec@1 28.125 (24.393) Prec@5 50.000 (48.475)
Epoch: [4][3380/5005] Time 0.607 (0.614) Data 0.001 (0.002) Loss 3.3149 (3.6776) Prec@1 26.953 (24.399) Prec@5 50.781 (48.485)
Epoch: [4][3390/5005] Time 0.609 (0.614) Data 0.001 (0.002) Loss 3.5977 (3.6772) Prec@1 26.172 (24.405) Prec@5 49.609 (48.496)
Epoch: [4][3400/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.6662 (3.6770) Prec@1 28.906 (24.409) Prec@5 49.219 (48.503)
Epoch: [4][3410/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.4239 (3.6764) Prec@1 30.469 (24.417) Prec@5 52.734 (48.511)
Epoch: [4][3420/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.7429 (3.6761) Prec@1 23.438 (24.422) Prec@5 48.047 (48.517)
Epoch: [4][3430/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.8885 (3.6757) Prec@1 21.484 (24.431) Prec@5 43.359 (48.526)
Epoch: [4][3440/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.6077 (3.6754) Prec@1 21.484 (24.435) Prec@5 49.609 (48.531)
Epoch: [4][3450/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.4353 (3.6751) Prec@1 25.000 (24.439) Prec@5 52.344 (48.536)
Epoch: [4][3460/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 3.6926 (3.6749) Prec@1 23.828 (24.443) Prec@5 47.266 (48.540)
Epoch: [4][3470/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.4397 (3.6746) Prec@1 29.297 (24.447) Prec@5 51.953 (48.545)
Epoch: [4][3480/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.5379 (3.6744) Prec@1 23.438 (24.450) Prec@5 51.562 (48.551)
Epoch: [4][3490/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.6279 (3.6740) Prec@1 22.266 (24.454) Prec@5 51.172 (48.559)
Epoch: [4][3500/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.5754 (3.6737) Prec@1 27.734 (24.459) Prec@5 50.781 (48.567)
Epoch: [4][3510/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.4661 (3.6734) Prec@1 27.734 (24.464) Prec@5 53.516 (48.573)
Epoch: [4][3520/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.7430 (3.6731) Prec@1 25.000 (24.469) Prec@5 48.828 (48.578)
Epoch: [4][3530/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.5716 (3.6729) Prec@1 21.875 (24.471) Prec@5 50.000 (48.584)
Epoch: [4][3540/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.5274 (3.6724) Prec@1 30.078 (24.481) Prec@5 51.172 (48.594)
Epoch: [4][3550/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.4663 (3.6721) Prec@1 31.250 (24.485) Prec@5 50.000 (48.601)
Epoch: [4][3560/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.5213 (3.6717) Prec@1 26.953 (24.493) Prec@5 50.000 (48.609)
Epoch: [4][3570/5005] Time 0.618 (0.614) Data 0.001 (0.002) Loss 3.5435 (3.6712) Prec@1 24.219 (24.502) Prec@5 49.609 (48.619)
Epoch: [4][3580/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.5582 (3.6708) Prec@1 26.953 (24.506) Prec@5 52.344 (48.624)
Epoch: [4][3590/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.6269 (3.6707) Prec@1 23.828 (24.506) Prec@5 50.000 (48.625)
Epoch: [4][3600/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.6367 (3.6704) Prec@1 28.516 (24.513) Prec@5 48.828 (48.633)
Epoch: [4][3610/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 3.3730 (3.6701) Prec@1 28.516 (24.517) Prec@5 52.734 (48.641)
Epoch: [4][3620/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.2965 (3.6698) Prec@1 31.250 (24.522) Prec@5 57.812 (48.647)
Epoch: [4][3630/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.4534 (3.6694) Prec@1 29.688 (24.528) Prec@5 54.688 (48.655)
Epoch: [4][3640/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.8271 (3.6693) Prec@1 25.391 (24.529) Prec@5 46.094 (48.657)
Epoch: [4][3650/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.3813 (3.6688) Prec@1 31.250 (24.537) Prec@5 55.859 (48.667)
Epoch: [4][3660/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.4800 (3.6684) Prec@1 28.906 (24.543) Prec@5 53.125 (48.674)
Epoch: [4][3670/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 3.6118 (3.6682) Prec@1 25.000 (24.549) Prec@5 48.828 (48.678)
Epoch: [4][3680/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.5302 (3.6681) Prec@1 28.125 (24.553) Prec@5 52.734 (48.680)
Epoch: [4][3690/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 3.6945 (3.6679) Prec@1 24.609 (24.555) Prec@5 52.734 (48.686)
Epoch: [4][3700/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.4591 (3.6675) Prec@1 22.656 (24.560) Prec@5 51.562 (48.693)
Epoch: [4][3710/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.8755 (3.6673) Prec@1 23.828 (24.564) Prec@5 45.703 (48.694)
Epoch: [4][3720/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.5029 (3.6671) Prec@1 25.391 (24.565) Prec@5 51.953 (48.698)
Epoch: [4][3730/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.4924 (3.6667) Prec@1 24.219 (24.570) Prec@5 51.562 (48.704)
Epoch: [4][3740/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.4581 (3.6667) Prec@1 27.344 (24.569) Prec@5 51.953 (48.705)
Epoch: [4][3750/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.7248 (3.6664) Prec@1 23.438 (24.572) Prec@5 47.656 (48.715)
Epoch: [4][3760/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.8140 (3.6662) Prec@1 21.484 (24.575) Prec@5 43.750 (48.717)
Epoch: [4][3770/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.5060 (3.6658) Prec@1 25.781 (24.580) Prec@5 53.516 (48.725)
Epoch: [4][3780/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.5762 (3.6656) Prec@1 30.469 (24.583) Prec@5 50.000 (48.728)
Epoch: [4][3790/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.2511 (3.6652) Prec@1 29.688 (24.592) Prec@5 56.641 (48.737)
Epoch: [4][3800/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.3599 (3.6649) Prec@1 34.375 (24.598) Prec@5 54.688 (48.744)
Epoch: [4][3810/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.7283 (3.6646) Prec@1 26.562 (24.606) Prec@5 50.391 (48.749)
Epoch: [4][3820/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.3156 (3.6642) Prec@1 28.906 (24.615) Prec@5 55.859 (48.756)
Epoch: [4][3830/5005] Time 0.636 (0.614) Data 0.000 (0.002) Loss 3.3949 (3.6638) Prec@1 28.125 (24.621) Prec@5 52.734 (48.766)
Epoch: [4][3840/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.5131 (3.6635) Prec@1 29.688 (24.626) Prec@5 52.734 (48.773)
Epoch: [4][3850/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.3867 (3.6632) Prec@1 27.734 (24.633) Prec@5 55.078 (48.780)
Epoch: [4][3860/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.3451 (3.6628) Prec@1 26.953 (24.639) Prec@5 51.172 (48.788)
Epoch: [4][3870/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.6889 (3.6625) Prec@1 22.656 (24.643) Prec@5 46.484 (48.796)
Epoch: [4][3880/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.4537 (3.6620) Prec@1 25.781 (24.651) Prec@5 50.391 (48.804)
Epoch: [4][3890/5005] Time 0.608 (0.614) Data 0.001 (0.002) Loss 3.4808 (3.6615) Prec@1 23.828 (24.654) Prec@5 50.000 (48.814)
Epoch: [4][3900/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.3225 (3.6611) Prec@1 30.859 (24.661) Prec@5 53.516 (48.822)
Epoch: [4][3910/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.2181 (3.6608) Prec@1 30.859 (24.663) Prec@5 57.812 (48.828)
Epoch: [4][3920/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.5849 (3.6606) Prec@1 24.609 (24.664) Prec@5 48.438 (48.832)
Epoch: [4][3930/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.8605 (3.6603) Prec@1 21.094 (24.668) Prec@5 46.875 (48.836)
Epoch: [4][3940/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.4821 (3.6600) Prec@1 27.734 (24.674) Prec@5 53.125 (48.843)
Epoch: [4][3950/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.7193 (3.6598) Prec@1 23.828 (24.677) Prec@5 46.484 (48.847)
Epoch: [4][3960/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.5468 (3.6596) Prec@1 26.953 (24.682) Prec@5 50.391 (48.850)
Epoch: [4][3970/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.6349 (3.6593) Prec@1 31.250 (24.687) Prec@5 51.172 (48.857)
Epoch: [4][3980/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.4901 (3.6588) Prec@1 26.953 (24.694) Prec@5 52.734 (48.867)
Epoch: [4][3990/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.6124 (3.6586) Prec@1 24.219 (24.696) Prec@5 50.391 (48.873)
Epoch: [4][4000/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.2313 (3.6583) Prec@1 30.469 (24.698) Prec@5 57.031 (48.880)
Epoch: [4][4010/5005] Time 0.609 (0.614) Data 0.001 (0.002) Loss 3.4519 (3.6580) Prec@1 28.125 (24.705) Prec@5 49.219 (48.885)
Epoch: [4][4020/5005] Time 0.604 (0.614) Data 0.000 (0.002) Loss 3.7682 (3.6576) Prec@1 21.484 (24.709) Prec@5 48.047 (48.893)
Epoch: [4][4030/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.2308 (3.6571) Prec@1 28.906 (24.713) Prec@5 56.250 (48.902)
Epoch: [4][4040/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.4229 (3.6568) Prec@1 29.297 (24.719) Prec@5 54.688 (48.912)
Epoch: [4][4050/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.5827 (3.6566) Prec@1 25.000 (24.722) Prec@5 49.609 (48.915)
Epoch: [4][4060/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.8159 (3.6564) Prec@1 24.609 (24.727) Prec@5 46.875 (48.919)
Epoch: [4][4070/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.6206 (3.6563) Prec@1 26.953 (24.731) Prec@5 47.656 (48.922)
Epoch: [4][4080/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.8547 (3.6560) Prec@1 21.484 (24.733) Prec@5 45.312 (48.926)
Epoch: [4][4090/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.3517 (3.6557) Prec@1 27.344 (24.735) Prec@5 56.250 (48.930)
Epoch: [4][4100/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.4136 (3.6553) Prec@1 26.953 (24.743) Prec@5 48.828 (48.940)
Epoch: [4][4110/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.5883 (3.6549) Prec@1 25.781 (24.747) Prec@5 52.344 (48.946)
Epoch: [4][4120/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.5924 (3.6546) Prec@1 26.562 (24.752) Prec@5 49.609 (48.953)
Epoch: [4][4130/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.6360 (3.6543) Prec@1 25.000 (24.757) Prec@5 49.609 (48.961)
Epoch: [4][4140/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.6354 (3.6541) Prec@1 25.781 (24.760) Prec@5 48.047 (48.963)
Epoch: [4][4150/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.7108 (3.6539) Prec@1 24.609 (24.763) Prec@5 49.219 (48.967)
Epoch: [4][4160/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.3474 (3.6536) Prec@1 29.297 (24.771) Prec@5 53.125 (48.974)
Epoch: [4][4170/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.5710 (3.6533) Prec@1 32.031 (24.779) Prec@5 51.172 (48.981)
Epoch: [4][4180/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.4614 (3.6532) Prec@1 27.344 (24.780) Prec@5 53.516 (48.984)
Epoch: [4][4190/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.1933 (3.6529) Prec@1 31.641 (24.784) Prec@5 52.734 (48.989)
Epoch: [4][4200/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.5924 (3.6526) Prec@1 26.172 (24.789) Prec@5 52.734 (48.993)
Epoch: [4][4210/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.2471 (3.6522) Prec@1 35.156 (24.797) Prec@5 55.469 (49.002)
Epoch: [4][4220/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.7596 (3.6519) Prec@1 20.312 (24.799) Prec@5 44.531 (49.005)
Epoch: [4][4230/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.3566 (3.6515) Prec@1 30.078 (24.807) Prec@5 51.953 (49.014)
Epoch: [4][4240/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.1488 (3.6510) Prec@1 32.031 (24.813) Prec@5 57.031 (49.025)
Epoch: [4][4250/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.3667 (3.6507) Prec@1 28.906 (24.818) Prec@5 53.516 (49.031)
Epoch: [4][4260/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4266 (3.6503) Prec@1 30.469 (24.825) Prec@5 53.516 (49.040)
Epoch: [4][4270/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.5308 (3.6500) Prec@1 27.344 (24.829) Prec@5 52.344 (49.049)
Epoch: [4][4280/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.5596 (3.6499) Prec@1 28.906 (24.832) Prec@5 51.172 (49.050)
Epoch: [4][4290/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.6110 (3.6495) Prec@1 26.172 (24.835) Prec@5 52.344 (49.058)
Epoch: [4][4300/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.4414 (3.6492) Prec@1 28.125 (24.840) Prec@5 52.344 (49.063)
Epoch: [4][4310/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.5136 (3.6490) Prec@1 25.781 (24.845) Prec@5 48.828 (49.069)
Epoch: [4][4320/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5753 (3.6489) Prec@1 27.344 (24.847) Prec@5 51.562 (49.072)
Epoch: [4][4330/5005] Time 0.626 (0.614) Data 0.000 (0.001) Loss 3.3710 (3.6487) Prec@1 26.953 (24.850) Prec@5 54.688 (49.076)
Epoch: [4][4340/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.6400 (3.6485) Prec@1 27.344 (24.854) Prec@5 47.266 (49.078)
Epoch: [4][4350/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.7300 (3.6483) Prec@1 24.219 (24.857) Prec@5 47.656 (49.084)
Epoch: [4][4360/5005] Time 0.611 (0.614) Data 0.001 (0.001) Loss 3.6663 (3.6480) Prec@1 23.828 (24.864) Prec@5 48.438 (49.090)
Epoch: [4][4370/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.5380 (3.6478) Prec@1 26.562 (24.868) Prec@5 48.047 (49.092)
Epoch: [4][4380/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.2793 (3.6475) Prec@1 34.375 (24.875) Prec@5 57.812 (49.099)
Epoch: [4][4390/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4116 (3.6473) Prec@1 28.125 (24.878) Prec@5 56.250 (49.106)
Epoch: [4][4400/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.3265 (3.6472) Prec@1 27.734 (24.878) Prec@5 56.250 (49.107)
Epoch: [4][4410/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.3288 (3.6469) Prec@1 26.953 (24.883) Prec@5 58.203 (49.115)
Epoch: [4][4420/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.6394 (3.6465) Prec@1 25.781 (24.886) Prec@5 50.781 (49.121)
Epoch: [4][4430/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.5140 (3.6462) Prec@1 28.516 (24.893) Prec@5 55.078 (49.130)
Epoch: [4][4440/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.5381 (3.6460) Prec@1 27.734 (24.900) Prec@5 51.562 (49.134)
Epoch: [4][4450/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.3029 (3.6455) Prec@1 28.516 (24.905) Prec@5 56.250 (49.143)
Epoch: [4][4460/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.6370 (3.6454) Prec@1 26.562 (24.908) Prec@5 51.172 (49.146)
Epoch: [4][4470/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.7336 (3.6452) Prec@1 25.781 (24.909) Prec@5 50.391 (49.151)
Epoch: [4][4480/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.8840 (3.6451) Prec@1 21.875 (24.910) Prec@5 44.922 (49.151)
Epoch: [4][4490/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.4656 (3.6449) Prec@1 28.906 (24.916) Prec@5 53.906 (49.156)
Epoch: [4][4500/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.5764 (3.6445) Prec@1 24.609 (24.924) Prec@5 51.562 (49.165)
Epoch: [4][4510/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.4318 (3.6442) Prec@1 24.609 (24.928) Prec@5 54.688 (49.173)
Epoch: [4][4520/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.8017 (3.6440) Prec@1 25.000 (24.931) Prec@5 45.703 (49.178)
Epoch: [4][4530/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.9012 (3.6437) Prec@1 22.266 (24.933) Prec@5 46.484 (49.183)
Epoch: [4][4540/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5208 (3.6435) Prec@1 26.172 (24.937) Prec@5 50.000 (49.187)
Epoch: [4][4550/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.7007 (3.6432) Prec@1 25.391 (24.942) Prec@5 48.438 (49.193)
Epoch: [4][4560/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.6772 (3.6429) Prec@1 26.953 (24.947) Prec@5 48.438 (49.198)
Epoch: [4][4570/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.6525 (3.6426) Prec@1 29.688 (24.951) Prec@5 51.172 (49.205)
Epoch: [4][4580/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.5126 (3.6422) Prec@1 26.562 (24.954) Prec@5 51.562 (49.212)
Epoch: [4][4590/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.5990 (3.6418) Prec@1 27.734 (24.958) Prec@5 53.125 (49.218)
Epoch: [4][4600/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.4233 (3.6415) Prec@1 27.344 (24.961) Prec@5 54.688 (49.226)
Epoch: [4][4610/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.5404 (3.6413) Prec@1 28.125 (24.965) Prec@5 49.609 (49.227)
Epoch: [4][4620/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.3699 (3.6409) Prec@1 32.812 (24.972) Prec@5 56.250 (49.237)
Epoch: [4][4630/5005] Time 0.608 (0.614) Data 0.001 (0.001) Loss 3.5679 (3.6405) Prec@1 25.781 (24.978) Prec@5 49.609 (49.245)
Epoch: [4][4640/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.5512 (3.6401) Prec@1 24.219 (24.984) Prec@5 48.828 (49.253)
Epoch: [4][4650/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.4557 (3.6402) Prec@1 22.266 (24.984) Prec@5 52.734 (49.252)
Epoch: [4][4660/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.4649 (3.6399) Prec@1 28.125 (24.986) Prec@5 54.688 (49.256)
Epoch: [4][4670/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.4289 (3.6395) Prec@1 28.906 (24.993) Prec@5 55.078 (49.266)
Epoch: [4][4680/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 3.3710 (3.6393) Prec@1 30.078 (24.997) Prec@5 58.203 (49.270)
Epoch: [4][4690/5005] Time 0.596 (0.614) Data 0.000 (0.001) Loss 3.5386 (3.6389) Prec@1 26.562 (25.004) Prec@5 49.219 (49.276)
Epoch: [4][4700/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.3765 (3.6386) Prec@1 23.828 (25.006) Prec@5 53.516 (49.280)
Epoch: [4][4710/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.4721 (3.6383) Prec@1 28.906 (25.013) Prec@5 50.781 (49.286)
Epoch: [4][4720/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.6539 (3.6380) Prec@1 23.438 (25.015) Prec@5 51.172 (49.292)
Epoch: [4][4730/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.5124 (3.6379) Prec@1 26.562 (25.017) Prec@5 48.828 (49.295)
Epoch: [4][4740/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5187 (3.6374) Prec@1 25.000 (25.023) Prec@5 47.656 (49.302)
Epoch: [4][4750/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5157 (3.6372) Prec@1 26.172 (25.028) Prec@5 53.125 (49.307)
Epoch: [4][4760/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.6377 (3.6368) Prec@1 26.172 (25.034) Prec@5 50.781 (49.315)
Epoch: [4][4770/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.6487 (3.6365) Prec@1 25.000 (25.038) Prec@5 51.562 (49.321)
Epoch: [4][4780/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.4948 (3.6362) Prec@1 28.516 (25.044) Prec@5 50.000 (49.327)
Epoch: [4][4790/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.4960 (3.6359) Prec@1 25.781 (25.047) Prec@5 53.125 (49.334)
Epoch: [4][4800/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.6062 (3.6357) Prec@1 25.000 (25.050) Prec@5 54.688 (49.339)
Epoch: [4][4810/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.5192 (3.6354) Prec@1 27.734 (25.054) Prec@5 50.000 (49.342)
Epoch: [4][4820/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.3576 (3.6351) Prec@1 28.125 (25.058) Prec@5 52.734 (49.346)
Epoch: [4][4830/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4065 (3.6348) Prec@1 26.172 (25.063) Prec@5 51.562 (49.351)
Epoch: [4][4840/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.6661 (3.6346) Prec@1 21.484 (25.065) Prec@5 44.531 (49.352)
Epoch: [4][4850/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.3158 (3.6343) Prec@1 30.078 (25.070) Prec@5 54.297 (49.358)
Epoch: [4][4860/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.2581 (3.6340) Prec@1 28.516 (25.076) Prec@5 57.812 (49.366)
Epoch: [4][4870/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.4635 (3.6337) Prec@1 28.906 (25.082) Prec@5 55.078 (49.373)
Epoch: [4][4880/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4960 (3.6334) Prec@1 28.125 (25.088) Prec@5 50.781 (49.379)
Epoch: [4][4890/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.5828 (3.6332) Prec@1 26.172 (25.089) Prec@5 48.828 (49.382)
Epoch: [4][4900/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.2981 (3.6328) Prec@1 29.297 (25.093) Prec@5 55.469 (49.390)
Epoch: [4][4910/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4325 (3.6327) Prec@1 26.172 (25.094) Prec@5 53.125 (49.393)
Epoch: [4][4920/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.5673 (3.6324) Prec@1 26.172 (25.099) Prec@5 48.438 (49.397)
Epoch: [4][4930/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.4749 (3.6321) Prec@1 23.047 (25.101) Prec@5 52.344 (49.404)
Epoch: [4][4940/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.5695 (3.6317) Prec@1 24.609 (25.105) Prec@5 51.953 (49.411)
Epoch: [4][4950/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.3637 (3.6313) Prec@1 34.766 (25.113) Prec@5 56.250 (49.420)
Epoch: [4][4960/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.3497 (3.6308) Prec@1 30.078 (25.122) Prec@5 54.688 (49.429)
Epoch: [4][4970/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.3946 (3.6303) Prec@1 29.688 (25.128) Prec@5 55.078 (49.439)
Epoch: [4][4980/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.3053 (3.6298) Prec@1 28.516 (25.135) Prec@5 55.078 (49.447)
Epoch: [4][4990/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.4319 (3.6295) Prec@1 28.125 (25.141) Prec@5 53.906 (49.452)
Epoch: [4][5000/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.4203 (3.6290) Prec@1 28.516 (25.145) Prec@5 55.469 (49.463)
Test: [0/196] Time 5.053 (5.053) Loss 2.0032 (2.0032) Prec@1 52.734 (52.734) Prec@5 81.641 (81.641)
Test: [10/196] Time 0.202 (0.649) Loss 2.8131 (2.3882) Prec@1 28.516 (44.425) Prec@5 66.016 (71.520)
Test: [20/196] Time 0.205 (0.438) Loss 2.6868 (2.3936) Prec@1 38.672 (44.624) Prec@5 64.844 (71.298)
Test: [30/196] Time 0.202 (0.362) Loss 2.8843 (2.3783) Prec@1 28.516 (44.783) Prec@5 59.766 (71.535)
Test: [40/196] Time 0.214 (0.324) Loss 2.4245 (2.4722) Prec@1 40.625 (41.111) Prec@5 72.266 (70.103)
Test: [50/196] Time 0.203 (0.301) Loss 2.4516 (2.4500) Prec@1 42.188 (41.108) Prec@5 69.141 (70.818)
Test: [60/196] Time 0.203 (0.285) Loss 2.7964 (2.4747) Prec@1 32.031 (40.446) Prec@5 67.578 (70.389)
Test: [70/196] Time 0.202 (0.274) Loss 2.9781 (2.4812) Prec@1 39.062 (40.664) Prec@5 58.594 (70.142)
Test: [80/196] Time 0.202 (0.266) Loss 3.5583 (2.4973) Prec@1 30.859 (40.683) Prec@5 53.516 (69.898)
Test: [90/196] Time 0.202 (0.259) Loss 4.3590 (2.5976) Prec@1 11.328 (39.247) Prec@5 33.984 (68.171)
Test: [100/196] Time 0.204 (0.254) Loss 3.9076 (2.6757) Prec@1 16.406 (38.332) Prec@5 44.922 (66.820)
Test: [110/196] Time 0.202 (0.249) Loss 2.8258 (2.7189) Prec@1 42.578 (38.000) Prec@5 64.453 (66.082)
Test: [120/196] Time 0.203 (0.246) Loss 3.5495 (2.7658) Prec@1 30.078 (37.542) Prec@5 50.000 (65.296)
Test: [130/196] Time 0.203 (0.242) Loss 2.9426 (2.8021) Prec@1 39.453 (37.056) Prec@5 63.281 (64.754)
Test: [140/196] Time 0.209 (0.240) Loss 2.9922 (2.8398) Prec@1 35.156 (36.636) Prec@5 64.062 (64.112)
Test: [150/196] Time 0.203 (0.237) Loss 3.7513 (2.8870) Prec@1 24.609 (36.137) Prec@5 47.656 (63.307)
Test: [160/196] Time 0.202 (0.235) Loss 3.0767 (2.9131) Prec@1 36.719 (35.843) Prec@5 64.453 (62.937)
Test: [170/196] Time 0.204 (0.234) Loss 2.2148 (2.9437) Prec@1 39.453 (35.296) Prec@5 78.125 (62.322)
Test: [180/196] Time 0.201 (0.232) Loss 2.3875 (2.9627) Prec@1 42.188 (35.096) Prec@5 75.000 (62.004)
Test: [190/196] Time 0.201 (0.230) Loss 2.1772 (2.9465) Prec@1 48.438 (35.269) Prec@5 77.734 (62.291)
* Prec@1 35.730 Prec@5 62.684
Epoch: [5][0/5005] Time 4.301 (4.301) Data 4.036 (4.036) Loss 3.2286 (3.2286) Prec@1 31.250 (31.250) Prec@5 58.203 (58.203)
Epoch: [5][10/5005] Time 0.628 (0.949) Data 0.000 (0.377) Loss 3.4387 (3.4548) Prec@1 27.344 (27.912) Prec@5 51.953 (52.805)
Epoch: [5][20/5005] Time 0.629 (0.791) Data 0.000 (0.198) Loss 3.5089 (3.4469) Prec@1 31.641 (28.385) Prec@5 53.516 (53.199)
Epoch: [5][30/5005] Time 0.617 (0.733) Data 0.000 (0.134) Loss 3.3038 (3.4238) Prec@1 32.031 (28.843) Prec@5 57.031 (53.642)
Epoch: [5][40/5005] Time 0.616 (0.704) Data 0.000 (0.102) Loss 3.6103 (3.4226) Prec@1 25.781 (28.897) Prec@5 50.000 (53.544)
Epoch: [5][50/5005] Time 0.615 (0.686) Data 0.000 (0.082) Loss 3.3825 (3.4296) Prec@1 26.172 (28.761) Prec@5 55.469 (53.362)
Epoch: [5][60/5005] Time 0.612 (0.674) Data 0.000 (0.068) Loss 3.6056 (3.4242) Prec@1 27.734 (28.708) Prec@5 53.906 (53.548)
Epoch: [5][70/5005] Time 0.614 (0.666) Data 0.000 (0.059) Loss 3.2820 (3.4267) Prec@1 31.250 (28.719) Prec@5 53.516 (53.488)
Epoch: [5][80/5005] Time 0.620 (0.659) Data 0.000 (0.052) Loss 3.3925 (3.4259) Prec@1 28.125 (28.602) Prec@5 57.422 (53.487)
Epoch: [5][90/5005] Time 0.611 (0.654) Data 0.000 (0.046) Loss 3.4277 (3.4231) Prec@1 28.125 (28.640) Prec@5 55.078 (53.473)
Epoch: [5][100/5005] Time 0.608 (0.650) Data 0.000 (0.041) Loss 3.5200 (3.4218) Prec@1 26.172 (28.678) Prec@5 55.469 (53.519)
Epoch: [5][110/5005] Time 0.609 (0.647) Data 0.000 (0.038) Loss 3.3956 (3.4204) Prec@1 28.516 (28.758) Prec@5 52.734 (53.523)
Epoch: [5][120/5005] Time 0.617 (0.644) Data 0.000 (0.035) Loss 3.3385 (3.4227) Prec@1 33.203 (28.719) Prec@5 53.125 (53.503)
Epoch: [5][130/5005] Time 0.622 (0.642) Data 0.000 (0.032) Loss 3.7757 (3.4253) Prec@1 24.219 (28.644) Prec@5 47.266 (53.456)
Epoch: [5][140/5005] Time 0.621 (0.640) Data 0.000 (0.030) Loss 3.4826 (3.4214) Prec@1 32.031 (28.685) Prec@5 52.734 (53.505)
Epoch: [5][150/5005] Time 0.611 (0.638) Data 0.000 (0.028) Loss 3.5584 (3.4207) Prec@1 27.344 (28.627) Prec@5 51.953 (53.415)
Epoch: [5][160/5005] Time 0.611 (0.636) Data 0.000 (0.026) Loss 3.4775 (3.4170) Prec@1 29.297 (28.700) Prec@5 55.078 (53.457)
Epoch: [5][170/5005] Time 0.615 (0.635) Data 0.000 (0.025) Loss 3.0530 (3.4141) Prec@1 35.938 (28.719) Prec@5 60.938 (53.497)
Epoch: [5][180/5005] Time 0.620 (0.634) Data 0.000 (0.023) Loss 3.5878 (3.4121) Prec@1 26.953 (28.759) Prec@5 51.953 (53.520)
Epoch: [5][190/5005] Time 0.601 (0.633) Data 0.000 (0.022) Loss 3.4356 (3.4156) Prec@1 27.344 (28.677) Prec@5 53.516 (53.464)
Epoch: [5][200/5005] Time 0.610 (0.632) Data 0.000 (0.021) Loss 3.6709 (3.4193) Prec@1 26.172 (28.597) Prec@5 46.875 (53.356)
Epoch: [5][210/5005] Time 0.608 (0.631) Data 0.000 (0.020) Loss 3.6109 (3.4162) Prec@1 22.656 (28.629) Prec@5 46.484 (53.377)
Epoch: [5][220/5005] Time 0.614 (0.630) Data 0.000 (0.019) Loss 3.4182 (3.4139) Prec@1 30.469 (28.639) Prec@5 55.469 (53.399)
Epoch: [5][230/5005] Time 0.616 (0.630) Data 0.000 (0.018) Loss 3.3197 (3.4153) Prec@1 27.734 (28.587) Prec@5 53.906 (53.352)
Epoch: [5][240/5005] Time 0.615 (0.629) Data 0.000 (0.018) Loss 3.3784 (3.4184) Prec@1 29.297 (28.548) Prec@5 53.125 (53.302)
Epoch: [5][250/5005] Time 0.625 (0.628) Data 0.000 (0.017) Loss 3.8363 (3.4179) Prec@1 22.656 (28.550) Prec@5 45.703 (53.309)
Epoch: [5][260/5005] Time 0.612 (0.628) Data 0.000 (0.016) Loss 3.5437 (3.4193) Prec@1 26.562 (28.481) Prec@5 49.609 (53.284)
Epoch: [5][270/5005] Time 0.621 (0.627) Data 0.000 (0.016) Loss 3.1542 (3.4186) Prec@1 30.469 (28.508) Prec@5 60.547 (53.298)
Epoch: [5][280/5005] Time 0.609 (0.627) Data 0.000 (0.015) Loss 3.2582 (3.4219) Prec@1 31.250 (28.449) Prec@5 55.469 (53.232)
Epoch: [5][290/5005] Time 0.623 (0.626) Data 0.000 (0.015) Loss 3.3468 (3.4223) Prec@1 30.469 (28.440) Prec@5 53.906 (53.219)
Epoch: [5][300/5005] Time 0.612 (0.626) Data 0.000 (0.014) Loss 3.4379 (3.4206) Prec@1 28.125 (28.462) Prec@5 54.297 (53.282)
Epoch: [5][310/5005] Time 0.613 (0.626) Data 0.000 (0.014) Loss 3.2216 (3.4190) Prec@1 29.297 (28.465) Prec@5 55.859 (53.297)
Epoch: [5][320/5005] Time 0.615 (0.625) Data 0.001 (0.013) Loss 3.1171 (3.4183) Prec@1 28.906 (28.488) Prec@5 58.203 (53.331)
Epoch: [5][330/5005] Time 0.615 (0.625) Data 0.000 (0.013) Loss 3.6174 (3.4218) Prec@1 25.391 (28.477) Prec@5 51.562 (53.284)
Epoch: [5][340/5005] Time 0.620 (0.625) Data 0.000 (0.013) Loss 3.5799 (3.4219) Prec@1 26.953 (28.449) Prec@5 52.734 (53.290)
Epoch: [5][350/5005] Time 0.619 (0.624) Data 0.001 (0.012) Loss 3.4503 (3.4222) Prec@1 29.297 (28.463) Prec@5 54.297 (53.254)
Epoch: [5][360/5005] Time 0.607 (0.624) Data 0.000 (0.012) Loss 3.4855 (3.4230) Prec@1 26.172 (28.437) Prec@5 56.641 (53.251)
Epoch: [5][370/5005] Time 0.612 (0.624) Data 0.000 (0.012) Loss 3.4303 (3.4241) Prec@1 29.297 (28.419) Prec@5 53.125 (53.246)
Epoch: [5][380/5005] Time 0.609 (0.623) Data 0.000 (0.011) Loss 3.5207 (3.4253) Prec@1 32.812 (28.408) Prec@5 53.906 (53.204)
Epoch: [5][390/5005] Time 0.623 (0.623) Data 0.000 (0.011) Loss 3.4296 (3.4254) Prec@1 27.734 (28.410) Prec@5 53.906 (53.246)
Epoch: [5][400/5005] Time 0.609 (0.623) Data 0.000 (0.011) Loss 3.6121 (3.4253) Prec@1 28.516 (28.428) Prec@5 50.000 (53.282)
Epoch: [5][410/5005] Time 0.610 (0.623) Data 0.000 (0.011) Loss 3.5577 (3.4269) Prec@1 28.125 (28.387) Prec@5 52.734 (53.254)
Epoch: [5][420/5005] Time 0.621 (0.623) Data 0.000 (0.010) Loss 3.2954 (3.4273) Prec@1 29.297 (28.373) Prec@5 57.031 (53.247)
Epoch: [5][430/5005] Time 0.611 (0.622) Data 0.000 (0.010) Loss 3.2088 (3.4245) Prec@1 32.031 (28.412) Prec@5 58.594 (53.308)
Epoch: [5][440/5005] Time 0.621 (0.622) Data 0.000 (0.010) Loss 3.3285 (3.4238) Prec@1 32.031 (28.408) Prec@5 55.469 (53.324)
Epoch: [5][450/5005] Time 0.612 (0.622) Data 0.001 (0.010) Loss 3.5610 (3.4246) Prec@1 21.484 (28.374) Prec@5 50.781 (53.294)
Epoch: [5][460/5005] Time 0.613 (0.622) Data 0.000 (0.009) Loss 3.3954 (3.4251) Prec@1 28.906 (28.361) Prec@5 53.516 (53.287)
Epoch: [5][470/5005] Time 0.616 (0.622) Data 0.000 (0.009) Loss 3.0607 (3.4234) Prec@1 33.203 (28.368) Prec@5 60.156 (53.307)
Epoch: [5][480/5005] Time 0.612 (0.621) Data 0.000 (0.009) Loss 3.3618 (3.4241) Prec@1 33.203 (28.387) Prec@5 58.203 (53.296)
Epoch: [5][490/5005] Time 0.618 (0.621) Data 0.000 (0.009) Loss 3.4365 (3.4238) Prec@1 28.906 (28.375) Prec@5 51.562 (53.298)
Epoch: [5][500/5005] Time 0.608 (0.621) Data 0.000 (0.009) Loss 3.4273 (3.4240) Prec@1 23.438 (28.345) Prec@5 48.047 (53.275)
Epoch: [5][510/5005] Time 0.617 (0.621) Data 0.000 (0.009) Loss 3.2865 (3.4246) Prec@1 27.344 (28.312) Prec@5 55.469 (53.274)
Epoch: [5][520/5005] Time 0.608 (0.621) Data 0.000 (0.008) Loss 3.6269 (3.4257) Prec@1 23.828 (28.288) Prec@5 52.734 (53.264)
Epoch: [5][530/5005] Time 0.622 (0.621) Data 0.001 (0.008) Loss 3.2530 (3.4277) Prec@1 29.688 (28.274) Prec@5 55.859 (53.251)
Epoch: [5][540/5005] Time 0.613 (0.621) Data 0.000 (0.008) Loss 3.5095 (3.4276) Prec@1 24.219 (28.272) Prec@5 52.344 (53.262)
Epoch: [5][550/5005] Time 0.608 (0.620) Data 0.000 (0.008) Loss 3.5548 (3.4269) Prec@1 28.516 (28.284) Prec@5 51.953 (53.282)
Epoch: [5][560/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 3.3157 (3.4271) Prec@1 30.859 (28.278) Prec@5 57.812 (53.274)
Epoch: [5][570/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 3.5092 (3.4270) Prec@1 30.469 (28.287) Prec@5 50.391 (53.282)
Epoch: [5][580/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 3.3658 (3.4269) Prec@1 29.688 (28.293) Prec@5 56.250 (53.291)
Epoch: [5][590/5005] Time 0.613 (0.620) Data 0.000 (0.007) Loss 3.3160 (3.4276) Prec@1 27.734 (28.273) Prec@5 52.734 (53.272)
Epoch: [5][600/5005] Time 0.615 (0.620) Data 0.000 (0.007) Loss 3.3143 (3.4288) Prec@1 29.688 (28.268) Prec@5 55.859 (53.249)
Epoch: [5][610/5005] Time 0.613 (0.620) Data 0.000 (0.007) Loss 3.3250 (3.4285) Prec@1 26.172 (28.273) Prec@5 53.516 (53.236)
Epoch: [5][620/5005] Time 0.612 (0.620) Data 0.000 (0.007) Loss 3.2058 (3.4278) Prec@1 29.688 (28.287) Prec@5 55.078 (53.234)
Epoch: [5][630/5005] Time 0.611 (0.620) Data 0.000 (0.007) Loss 3.4830 (3.4278) Prec@1 28.125 (28.299) Prec@5 52.734 (53.223)
Epoch: [5][640/5005] Time 0.618 (0.619) Data 0.000 (0.007) Loss 3.5387 (3.4281) Prec@1 25.781 (28.294) Prec@5 51.172 (53.218)
Epoch: [5][650/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 3.4359 (3.4257) Prec@1 28.125 (28.319) Prec@5 56.641 (53.270)
Epoch: [5][660/5005] Time 0.606 (0.619) Data 0.000 (0.007) Loss 3.5941 (3.4265) Prec@1 24.609 (28.306) Prec@5 52.344 (53.264)
Epoch: [5][670/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 3.5273 (3.4261) Prec@1 28.125 (28.316) Prec@5 51.562 (53.279)
Epoch: [5][680/5005] Time 0.624 (0.619) Data 0.000 (0.007) Loss 3.4807 (3.4255) Prec@1 27.734 (28.314) Prec@5 51.953 (53.284)
Epoch: [5][690/5005] Time 0.612 (0.619) Data 0.000 (0.006) Loss 3.3677 (3.4252) Prec@1 27.734 (28.333) Prec@5 55.078 (53.284)
Epoch: [5][700/5005] Time 0.612 (0.619) Data 0.000 (0.006) Loss 3.5252 (3.4256) Prec@1 26.953 (28.326) Prec@5 53.906 (53.271)
Epoch: [5][710/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 3.1568 (3.4251) Prec@1 29.688 (28.308) Prec@5 60.938 (53.291)
Epoch: [5][720/5005] Time 0.613 (0.619) Data 0.000 (0.006) Loss 3.5004 (3.4248) Prec@1 31.250 (28.325) Prec@5 50.391 (53.295)
Epoch: [5][730/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 3.5052 (3.4240) Prec@1 25.391 (28.320) Prec@5 48.828 (53.302)
Epoch: [5][740/5005] Time 0.623 (0.619) Data 0.000 (0.006) Loss 3.2524 (3.4250) Prec@1 28.906 (28.314) Prec@5 57.422 (53.283)
Epoch: [5][750/5005] Time 0.618 (0.619) Data 0.000 (0.006) Loss 3.4172 (3.4248) Prec@1 26.172 (28.304) Prec@5 54.688 (53.275)
Epoch: [5][760/5005] Time 0.612 (0.619) Data 0.000 (0.006) Loss 3.1812 (3.4233) Prec@1 29.297 (28.324) Prec@5 58.203 (53.300)
Epoch: [5][770/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 3.2510 (3.4231) Prec@1 28.516 (28.317) Prec@5 58.594 (53.306)
Epoch: [5][780/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 3.3732 (3.4225) Prec@1 29.297 (28.314) Prec@5 53.906 (53.310)
Epoch: [5][790/5005] Time 0.607 (0.618) Data 0.000 (0.006) Loss 3.6685 (3.4221) Prec@1 21.484 (28.307) Prec@5 49.219 (53.315)
Epoch: [5][800/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 3.4535 (3.4215) Prec@1 28.125 (28.303) Prec@5 50.781 (53.330)
Epoch: [5][810/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 3.6373 (3.4221) Prec@1 27.734 (28.303) Prec@5 46.094 (53.320)
Epoch: [5][820/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 3.6264 (3.4222) Prec@1 27.344 (28.308) Prec@5 50.391 (53.315)
Epoch: [5][830/5005] Time 0.612 (0.618) Data 0.001 (0.005) Loss 3.3945 (3.4226) Prec@1 30.469 (28.311) Prec@5 52.344 (53.313)
Epoch: [5][840/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 3.2172 (3.4218) Prec@1 34.766 (28.336) Prec@5 56.250 (53.331)
Epoch: [5][850/5005] Time 0.618 (0.618) Data 0.000 (0.005) Loss 3.2624 (3.4215) Prec@1 27.344 (28.321) Prec@5 56.250 (53.332)
Epoch: [5][860/5005] Time 0.605 (0.618) Data 0.000 (0.005) Loss 3.3648 (3.4222) Prec@1 28.906 (28.319) Prec@5 53.906 (53.326)
Epoch: [5][870/5005] Time 0.609 (0.618) Data 0.000 (0.005) Loss 3.3061 (3.4220) Prec@1 26.172 (28.325) Prec@5 55.078 (53.330)
Epoch: [5][880/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 3.5114 (3.4226) Prec@1 28.516 (28.310) Prec@5 55.078 (53.314)
Epoch: [5][890/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 3.5729 (3.4231) Prec@1 23.438 (28.299) Prec@5 53.125 (53.314)
Epoch: [5][900/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 3.1410 (3.4235) Prec@1 32.812 (28.295) Prec@5 57.031 (53.309)
Epoch: [5][910/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 3.4867 (3.4226) Prec@1 28.125 (28.297) Prec@5 53.125 (53.326)
Epoch: [5][920/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 3.4951 (3.4230) Prec@1 26.953 (28.294) Prec@5 50.781 (53.320)
Epoch: [5][930/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 3.1201 (3.4230) Prec@1 30.469 (28.295) Prec@5 59.375 (53.318)
Epoch: [5][940/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 3.2689 (3.4241) Prec@1 32.031 (28.291) Prec@5 55.469 (53.296)
Epoch: [5][950/5005] Time 0.609 (0.618) Data 0.000 (0.005) Loss 3.5136 (3.4240) Prec@1 31.250 (28.297) Prec@5 50.391 (53.299)
Epoch: [5][960/5005] Time 0.614 (0.618) Data 0.001 (0.005) Loss 3.4700 (3.4239) Prec@1 26.562 (28.293) Prec@5 54.297 (53.311)
Epoch: [5][970/5005] Time 0.610 (0.618) Data 0.000 (0.005) Loss 3.4331 (3.4232) Prec@1 29.297 (28.308) Prec@5 56.641 (53.333)
Epoch: [5][980/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 3.2428 (3.4230) Prec@1 29.688 (28.309) Prec@5 56.641 (53.328)
Epoch: [5][990/5005] Time 0.620 (0.618) Data 0.000 (0.005) Loss 3.6390 (3.4232) Prec@1 25.000 (28.315) Prec@5 51.953 (53.327)
Epoch: [5][1000/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 3.2941 (3.4227) Prec@1 29.688 (28.329) Prec@5 55.859 (53.333)
Epoch: [5][1010/5005] Time 0.612 (0.617) Data 0.001 (0.005) Loss 3.3450 (3.4220) Prec@1 28.906 (28.328) Prec@5 51.172 (53.339)
Epoch: [5][1020/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.2351 (3.4211) Prec@1 30.469 (28.341) Prec@5 55.469 (53.361)
Epoch: [5][1030/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 3.3446 (3.4207) Prec@1 31.250 (28.353) Prec@5 53.125 (53.370)
Epoch: [5][1040/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 3.5231 (3.4212) Prec@1 29.297 (28.352) Prec@5 53.125 (53.357)
Epoch: [5][1050/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 3.4399 (3.4210) Prec@1 25.781 (28.345) Prec@5 54.688 (53.364)
Epoch: [5][1060/5005] Time 0.618 (0.617) Data 0.001 (0.004) Loss 3.5350 (3.4211) Prec@1 25.781 (28.339) Prec@5 48.047 (53.365)
Epoch: [5][1070/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 3.2868 (3.4209) Prec@1 32.422 (28.326) Prec@5 55.859 (53.376)
Epoch: [5][1080/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 3.2530 (3.4205) Prec@1 30.859 (28.338) Prec@5 55.078 (53.390)
Epoch: [5][1090/5005] Time 0.618 (0.617) Data 0.001 (0.004) Loss 3.3496 (3.4202) Prec@1 27.344 (28.339) Prec@5 53.125 (53.392)
Epoch: [5][1100/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 3.5358 (3.4205) Prec@1 22.656 (28.333) Prec@5 51.562 (53.385)
Epoch: [5][1110/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.2102 (3.4199) Prec@1 29.297 (28.341) Prec@5 54.688 (53.391)
Epoch: [5][1120/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.4782 (3.4197) Prec@1 24.609 (28.339) Prec@5 51.172 (53.395)
Epoch: [5][1130/5005] Time 0.607 (0.617) Data 0.000 (0.004) Loss 3.6514 (3.4200) Prec@1 26.172 (28.343) Prec@5 51.953 (53.392)
Epoch: [5][1140/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 3.6188 (3.4198) Prec@1 23.438 (28.344) Prec@5 51.172 (53.391)
Epoch: [5][1150/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 3.6071 (3.4199) Prec@1 25.781 (28.348) Prec@5 48.828 (53.397)
Epoch: [5][1160/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.3418 (3.4197) Prec@1 32.812 (28.351) Prec@5 58.594 (53.406)
Epoch: [5][1170/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 3.4950 (3.4195) Prec@1 26.562 (28.346) Prec@5 50.781 (53.408)
Epoch: [5][1180/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 3.4107 (3.4190) Prec@1 27.344 (28.357) Prec@5 51.953 (53.417)
Epoch: [5][1190/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.3606 (3.4187) Prec@1 25.391 (28.357) Prec@5 57.031 (53.424)
Epoch: [5][1200/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.2736 (3.4184) Prec@1 31.250 (28.356) Prec@5 55.469 (53.426)
Epoch: [5][1210/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.3413 (3.4185) Prec@1 30.469 (28.370) Prec@5 53.516 (53.426)
Epoch: [5][1220/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 3.3538 (3.4180) Prec@1 29.688 (28.379) Prec@5 57.422 (53.438)
Epoch: [5][1230/5005] Time 0.620 (0.617) Data 0.001 (0.004) Loss 3.4548 (3.4179) Prec@1 28.125 (28.375) Prec@5 51.953 (53.437)
Epoch: [5][1240/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 3.2728 (3.4181) Prec@1 33.984 (28.367) Prec@5 55.859 (53.434)
Epoch: [5][1250/5005] Time 0.631 (0.617) Data 0.000 (0.004) Loss 3.4504 (3.4175) Prec@1 32.031 (28.367) Prec@5 52.734 (53.438)
Epoch: [5][1260/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 3.4329 (3.4175) Prec@1 31.641 (28.365) Prec@5 51.953 (53.438)
Epoch: [5][1270/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 3.4808 (3.4173) Prec@1 25.781 (28.367) Prec@5 51.562 (53.434)
Epoch: [5][1280/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 3.4765 (3.4174) Prec@1 26.562 (28.368) Prec@5 48.438 (53.433)
Epoch: [5][1290/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 3.5200 (3.4174) Prec@1 29.297 (28.386) Prec@5 52.344 (53.439)
Epoch: [5][1300/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 3.2965 (3.4170) Prec@1 29.688 (28.397) Prec@5 55.859 (53.445)
Epoch: [5][1310/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 3.3670 (3.4163) Prec@1 29.688 (28.402) Prec@5 54.297 (53.458)
Epoch: [5][1320/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.4517 (3.4159) Prec@1 26.172 (28.407) Prec@5 52.344 (53.474)
Epoch: [5][1330/5005] Time 0.621 (0.617) Data 0.000 (0.004) Loss 3.4593 (3.4152) Prec@1 28.906 (28.415) Prec@5 52.344 (53.489)
Epoch: [5][1340/5005] Time 0.601 (0.616) Data 0.001 (0.004) Loss 3.3046 (3.4144) Prec@1 30.859 (28.432) Prec@5 56.250 (53.499)
Epoch: [5][1350/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 3.2030 (3.4142) Prec@1 29.297 (28.438) Prec@5 60.156 (53.508)
Epoch: [5][1360/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.2727 (3.4137) Prec@1 30.859 (28.435) Prec@5 59.375 (53.520)
Epoch: [5][1370/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.4682 (3.4133) Prec@1 28.906 (28.450) Prec@5 53.906 (53.531)
Epoch: [5][1380/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.2948 (3.4134) Prec@1 26.562 (28.435) Prec@5 53.516 (53.536)
Epoch: [5][1390/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.5859 (3.4135) Prec@1 31.250 (28.440) Prec@5 50.000 (53.535)
Epoch: [5][1400/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.2472 (3.4135) Prec@1 31.641 (28.443) Prec@5 58.203 (53.544)
Epoch: [5][1410/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.5219 (3.4141) Prec@1 21.875 (28.431) Prec@5 51.953 (53.529)
Epoch: [5][1420/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.3115 (3.4141) Prec@1 28.125 (28.436) Prec@5 58.203 (53.539)
Epoch: [5][1430/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.5434 (3.4145) Prec@1 28.516 (28.432) Prec@5 53.516 (53.530)
Epoch: [5][1440/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.4924 (3.4143) Prec@1 26.172 (28.433) Prec@5 50.391 (53.531)
Epoch: [5][1450/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.4578 (3.4143) Prec@1 28.516 (28.442) Prec@5 54.297 (53.534)
Epoch: [5][1460/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.2618 (3.4133) Prec@1 30.078 (28.465) Prec@5 53.516 (53.554)
Epoch: [5][1470/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.4004 (3.4132) Prec@1 28.516 (28.467) Prec@5 52.734 (53.560)
Epoch: [5][1480/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.3574 (3.4130) Prec@1 32.422 (28.469) Prec@5 52.734 (53.560)
Epoch: [5][1490/5005] Time 0.604 (0.616) Data 0.000 (0.003) Loss 3.3450 (3.4126) Prec@1 31.641 (28.471) Prec@5 58.203 (53.569)
Epoch: [5][1500/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.5393 (3.4128) Prec@1 28.906 (28.469) Prec@5 53.516 (53.569)
Epoch: [5][1510/5005] Time 0.609 (0.616) Data 0.001 (0.003) Loss 3.1701 (3.4124) Prec@1 31.250 (28.472) Prec@5 55.859 (53.574)
Epoch: [5][1520/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.4220 (3.4120) Prec@1 28.125 (28.482) Prec@5 55.469 (53.585)
Epoch: [5][1530/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.2618 (3.4118) Prec@1 33.203 (28.481) Prec@5 58.594 (53.589)
Epoch: [5][1540/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.3901 (3.4117) Prec@1 29.297 (28.484) Prec@5 51.172 (53.582)
Epoch: [5][1550/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.5199 (3.4118) Prec@1 25.781 (28.478) Prec@5 51.953 (53.580)
Epoch: [5][1560/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.5056 (3.4113) Prec@1 23.828 (28.490) Prec@5 54.297 (53.587)
Epoch: [5][1570/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.2994 (3.4109) Prec@1 30.859 (28.492) Prec@5 55.078 (53.594)
Epoch: [5][1580/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.6144 (3.4110) Prec@1 30.078 (28.500) Prec@5 47.656 (53.595)
Epoch: [5][1590/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.5399 (3.4112) Prec@1 25.781 (28.500) Prec@5 53.125 (53.596)
Epoch: [5][1600/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.7131 (3.4109) Prec@1 23.828 (28.512) Prec@5 51.172 (53.607)
Epoch: [5][1610/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.3188 (3.4105) Prec@1 32.422 (28.517) Prec@5 55.859 (53.616)
Epoch: [5][1620/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.4168 (3.4099) Prec@1 28.906 (28.528) Prec@5 54.297 (53.625)
Epoch: [5][1630/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.3994 (3.4100) Prec@1 29.297 (28.529) Prec@5 50.781 (53.619)
Epoch: [5][1640/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 3.2239 (3.4095) Prec@1 32.812 (28.541) Prec@5 58.203 (53.628)
Epoch: [5][1650/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 3.2767 (3.4092) Prec@1 32.422 (28.548) Prec@5 57.031 (53.635)
Epoch: [5][1660/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.4736 (3.4089) Prec@1 28.125 (28.549) Prec@5 53.125 (53.638)
Epoch: [5][1670/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.4367 (3.4088) Prec@1 30.859 (28.549) Prec@5 51.562 (53.637)
Epoch: [5][1680/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.5122 (3.4088) Prec@1 29.688 (28.550) Prec@5 50.391 (53.635)
Epoch: [5][1690/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.5460 (3.4087) Prec@1 27.734 (28.554) Prec@5 50.781 (53.630)
Epoch: [5][1700/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.4516 (3.4086) Prec@1 27.734 (28.554) Prec@5 51.562 (53.624)
Epoch: [5][1710/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.3891 (3.4081) Prec@1 31.250 (28.564) Prec@5 58.203 (53.637)
Epoch: [5][1720/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.4305 (3.4080) Prec@1 32.031 (28.567) Prec@5 51.562 (53.630)
Epoch: [5][1730/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 3.4315 (3.4077) Prec@1 26.953 (28.573) Prec@5 52.344 (53.636)
Epoch: [5][1740/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.3908 (3.4074) Prec@1 26.172 (28.577) Prec@5 52.344 (53.640)
Epoch: [5][1750/5005] Time 0.615 (0.616) Data 0.001 (0.003) Loss 3.5785 (3.4074) Prec@1 28.516 (28.580) Prec@5 50.781 (53.633)
Epoch: [5][1760/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.4328 (3.4070) Prec@1 31.250 (28.589) Prec@5 50.391 (53.643)
Epoch: [5][1770/5005] Time 0.620 (0.616) Data 0.001 (0.003) Loss 3.2966 (3.4070) Prec@1 32.031 (28.595) Prec@5 55.859 (53.645)
Epoch: [5][1780/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.5412 (3.4074) Prec@1 23.828 (28.586) Prec@5 50.000 (53.636)
Epoch: [5][1790/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.2296 (3.4071) Prec@1 30.859 (28.592) Prec@5 57.812 (53.639)
Epoch: [5][1800/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.5570 (3.4064) Prec@1 25.781 (28.599) Prec@5 50.391 (53.652)
Epoch: [5][1810/5005] Time 0.604 (0.616) Data 0.000 (0.003) Loss 3.2661 (3.4060) Prec@1 31.250 (28.607) Prec@5 58.594 (53.664)
Epoch: [5][1820/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.0958 (3.4059) Prec@1 34.766 (28.611) Prec@5 59.766 (53.666)
Epoch: [5][1830/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.3677 (3.4061) Prec@1 30.469 (28.609) Prec@5 54.297 (53.665)
Epoch: [5][1840/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.4209 (3.4057) Prec@1 26.172 (28.614) Prec@5 55.078 (53.674)
Epoch: [5][1850/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.6076 (3.4055) Prec@1 26.953 (28.616) Prec@5 48.438 (53.686)
Epoch: [5][1860/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.5174 (3.4055) Prec@1 27.344 (28.620) Prec@5 55.469 (53.685)
Epoch: [5][1870/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.0234 (3.4050) Prec@1 32.422 (28.630) Prec@5 62.500 (53.699)
Epoch: [5][1880/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.4881 (3.4052) Prec@1 30.078 (28.631) Prec@5 50.000 (53.697)
Epoch: [5][1890/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.3494 (3.4052) Prec@1 31.641 (28.628) Prec@5 55.859 (53.698)
Epoch: [5][1900/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 3.4242 (3.4048) Prec@1 27.734 (28.629) Prec@5 51.562 (53.704)
Epoch: [5][1910/5005] Time 0.609 (0.615) Data 0.001 (0.003) Loss 3.4698 (3.4045) Prec@1 25.391 (28.637) Prec@5 55.859 (53.714)
Epoch: [5][1920/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.3237 (3.4042) Prec@1 25.781 (28.641) Prec@5 54.297 (53.720)
Epoch: [5][1930/5005] Time 0.623 (0.615) Data 0.000 (0.003) Loss 3.4084 (3.4034) Prec@1 30.469 (28.657) Prec@5 53.516 (53.737)
Epoch: [5][1940/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 3.1735 (3.4028) Prec@1 29.688 (28.664) Prec@5 59.375 (53.747)
Epoch: [5][1950/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.4193 (3.4023) Prec@1 29.297 (28.674) Prec@5 55.859 (53.757)
Epoch: [5][1960/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.2912 (3.4020) Prec@1 32.422 (28.685) Prec@5 56.250 (53.768)
Epoch: [5][1970/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 3.4074 (3.4023) Prec@1 29.297 (28.681) Prec@5 53.906 (53.760)
Epoch: [5][1980/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.3278 (3.4022) Prec@1 30.469 (28.683) Prec@5 51.172 (53.763)
Epoch: [5][1990/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 3.3878 (3.4022) Prec@1 30.078 (28.688) Prec@5 53.125 (53.759)
Epoch: [5][2000/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 3.3619 (3.4021) Prec@1 29.688 (28.696) Prec@5 55.078 (53.766)
Epoch: [5][2010/5005] Time 0.620 (0.615) Data 0.001 (0.003) Loss 3.4623 (3.4020) Prec@1 26.953 (28.699) Prec@5 50.781 (53.763)
Epoch: [5][2020/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.1522 (3.4018) Prec@1 31.250 (28.701) Prec@5 60.156 (53.769)
Epoch: [5][2030/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 3.7138 (3.4019) Prec@1 26.562 (28.705) Prec@5 46.094 (53.770)
Epoch: [5][2040/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 3.2397 (3.4017) Prec@1 30.859 (28.705) Prec@5 58.203 (53.772)
Epoch: [5][2050/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.0663 (3.4015) Prec@1 34.375 (28.711) Prec@5 62.891 (53.778)
Epoch: [5][2060/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4097 (3.4010) Prec@1 33.203 (28.721) Prec@5 55.078 (53.785)
Epoch: [5][2070/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.0848 (3.4008) Prec@1 36.328 (28.728) Prec@5 59.375 (53.794)
Epoch: [5][2080/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1641 (3.4001) Prec@1 32.812 (28.739) Prec@5 56.250 (53.808)
Epoch: [5][2090/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.5228 (3.3996) Prec@1 30.078 (28.751) Prec@5 51.953 (53.820)
Epoch: [5][2100/5005] Time 0.621 (0.615) Data 0.001 (0.002) Loss 3.3321 (3.3994) Prec@1 27.344 (28.757) Prec@5 53.906 (53.821)
Epoch: [5][2110/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.1689 (3.3992) Prec@1 30.469 (28.758) Prec@5 53.906 (53.824)
Epoch: [5][2120/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.2358 (3.3987) Prec@1 30.078 (28.769) Prec@5 57.031 (53.835)
Epoch: [5][2130/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.0248 (3.3984) Prec@1 35.156 (28.769) Prec@5 61.328 (53.843)
Epoch: [5][2140/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.3494 (3.3980) Prec@1 32.812 (28.777) Prec@5 56.641 (53.852)
Epoch: [5][2150/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.4867 (3.3980) Prec@1 22.656 (28.781) Prec@5 53.516 (53.856)
Epoch: [5][2160/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2087 (3.3975) Prec@1 34.375 (28.788) Prec@5 56.641 (53.867)
Epoch: [5][2170/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.2986 (3.3971) Prec@1 30.078 (28.799) Prec@5 53.906 (53.871)
Epoch: [5][2180/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.4365 (3.3970) Prec@1 30.078 (28.801) Prec@5 57.812 (53.873)
Epoch: [5][2190/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.2115 (3.3965) Prec@1 32.422 (28.808) Prec@5 58.203 (53.884)
Epoch: [5][2200/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.4632 (3.3964) Prec@1 30.078 (28.812) Prec@5 50.781 (53.883)
Epoch: [5][2210/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2235 (3.3962) Prec@1 29.688 (28.817) Prec@5 59.766 (53.891)
Epoch: [5][2220/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4904 (3.3962) Prec@1 27.734 (28.812) Prec@5 52.734 (53.894)
Epoch: [5][2230/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1255 (3.3961) Prec@1 35.938 (28.818) Prec@5 57.031 (53.897)
Epoch: [5][2240/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.4059 (3.3958) Prec@1 32.422 (28.824) Prec@5 55.859 (53.905)
Epoch: [5][2250/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.2653 (3.3957) Prec@1 28.906 (28.829) Prec@5 55.859 (53.909)
Epoch: [5][2260/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.4589 (3.3955) Prec@1 26.172 (28.830) Prec@5 55.078 (53.911)
Epoch: [5][2270/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.3266 (3.3949) Prec@1 30.078 (28.835) Prec@5 55.469 (53.924)
Epoch: [5][2280/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.3256 (3.3943) Prec@1 28.906 (28.838) Prec@5 51.953 (53.930)
Epoch: [5][2290/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.3384 (3.3944) Prec@1 31.641 (28.841) Prec@5 54.688 (53.930)
Epoch: [5][2300/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3700 (3.3940) Prec@1 26.562 (28.848) Prec@5 55.859 (53.939)
Epoch: [5][2310/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.5680 (3.3940) Prec@1 24.609 (28.846) Prec@5 50.391 (53.932)
Epoch: [5][2320/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.5324 (3.3939) Prec@1 28.516 (28.847) Prec@5 50.781 (53.939)
Epoch: [5][2330/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.4068 (3.3940) Prec@1 25.000 (28.846) Prec@5 51.172 (53.931)
Epoch: [5][2340/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.4359 (3.3934) Prec@1 27.734 (28.852) Prec@5 49.219 (53.945)
Epoch: [5][2350/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.3156 (3.3935) Prec@1 30.078 (28.855) Prec@5 58.984 (53.945)
Epoch: [5][2360/5005] Time 0.600 (0.615) Data 0.000 (0.002) Loss 3.4593 (3.3929) Prec@1 28.516 (28.868) Prec@5 53.906 (53.953)
Epoch: [5][2370/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.4915 (3.3925) Prec@1 27.734 (28.874) Prec@5 52.344 (53.963)
Epoch: [5][2380/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 3.2712 (3.3922) Prec@1 26.562 (28.871) Prec@5 55.859 (53.965)
Epoch: [5][2390/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.3134 (3.3922) Prec@1 28.516 (28.870) Prec@5 56.250 (53.965)
Epoch: [5][2400/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.4972 (3.3918) Prec@1 26.562 (28.873) Prec@5 52.734 (53.973)
Epoch: [5][2410/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.6350 (3.3921) Prec@1 30.078 (28.868) Prec@5 49.609 (53.968)
Epoch: [5][2420/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3540 (3.3918) Prec@1 30.078 (28.869) Prec@5 58.203 (53.972)
Epoch: [5][2430/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3630 (3.3919) Prec@1 27.734 (28.867) Prec@5 53.516 (53.968)
Epoch: [5][2440/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.1877 (3.3916) Prec@1 30.469 (28.870) Prec@5 57.031 (53.970)
Epoch: [5][2450/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.3506 (3.3914) Prec@1 26.562 (28.870) Prec@5 53.125 (53.976)
Epoch: [5][2460/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2076 (3.3908) Prec@1 30.859 (28.881) Prec@5 55.078 (53.986)
Epoch: [5][2470/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2685 (3.3908) Prec@1 33.203 (28.882) Prec@5 53.516 (53.984)
Epoch: [5][2480/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.4490 (3.3907) Prec@1 26.562 (28.887) Prec@5 53.125 (53.987)
Epoch: [5][2490/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.3408 (3.3902) Prec@1 28.906 (28.893) Prec@5 53.906 (53.995)
Epoch: [5][2500/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2951 (3.3899) Prec@1 31.641 (28.899) Prec@5 58.203 (54.004)
Epoch: [5][2510/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.0212 (3.3894) Prec@1 33.594 (28.902) Prec@5 60.547 (54.013)
Epoch: [5][2520/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.5170 (3.3892) Prec@1 26.953 (28.903) Prec@5 53.516 (54.018)
Epoch: [5][2530/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.1374 (3.3889) Prec@1 33.203 (28.909) Prec@5 60.938 (54.024)
Epoch: [5][2540/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.3958 (3.3885) Prec@1 27.734 (28.917) Prec@5 52.734 (54.030)
Epoch: [5][2550/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2760 (3.3884) Prec@1 28.906 (28.919) Prec@5 57.422 (54.030)
Epoch: [5][2560/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2742 (3.3884) Prec@1 28.125 (28.916) Prec@5 55.469 (54.030)
Epoch: [5][2570/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1192 (3.3881) Prec@1 35.938 (28.918) Prec@5 56.641 (54.036)
Epoch: [5][2580/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.3349 (3.3877) Prec@1 26.172 (28.922) Prec@5 55.078 (54.044)
Epoch: [5][2590/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.2118 (3.3874) Prec@1 29.297 (28.925) Prec@5 57.031 (54.049)
Epoch: [5][2600/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.2082 (3.3870) Prec@1 33.984 (28.934) Prec@5 56.250 (54.056)
Epoch: [5][2610/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.2347 (3.3866) Prec@1 34.375 (28.942) Prec@5 56.641 (54.065)
Epoch: [5][2620/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.3803 (3.3860) Prec@1 29.688 (28.952) Prec@5 51.562 (54.074)
Epoch: [5][2630/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.1282 (3.3853) Prec@1 32.031 (28.961) Prec@5 57.422 (54.085)
Epoch: [5][2640/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 3.5725 (3.3852) Prec@1 23.438 (28.964) Prec@5 52.734 (54.091)
Epoch: [5][2650/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2537 (3.3852) Prec@1 31.250 (28.966) Prec@5 57.031 (54.093)
Epoch: [5][2660/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4277 (3.3851) Prec@1 27.734 (28.967) Prec@5 51.953 (54.095)
Epoch: [5][2670/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.5229 (3.3850) Prec@1 25.391 (28.967) Prec@5 54.688 (54.099)
Epoch: [5][2680/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.3478 (3.3849) Prec@1 30.859 (28.972) Prec@5 55.859 (54.106)
Epoch: [5][2690/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 3.1963 (3.3844) Prec@1 35.156 (28.984) Prec@5 57.812 (54.113)
Epoch: [5][2700/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.4871 (3.3841) Prec@1 25.000 (28.990) Prec@5 50.781 (54.120)
Epoch: [5][2710/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.2402 (3.3837) Prec@1 30.859 (28.992) Prec@5 57.812 (54.131)
Epoch: [5][2720/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9932 (3.3832) Prec@1 36.328 (28.998) Prec@5 62.891 (54.136)
Epoch: [5][2730/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2391 (3.3831) Prec@1 32.812 (29.002) Prec@5 55.469 (54.137)
Epoch: [5][2740/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.3560 (3.3831) Prec@1 28.516 (29.001) Prec@5 55.078 (54.140)
Epoch: [5][2750/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 3.4342 (3.3829) Prec@1 29.688 (29.009) Prec@5 51.953 (54.143)
Epoch: [5][2760/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.4155 (3.3826) Prec@1 28.906 (29.016) Prec@5 52.734 (54.146)
Epoch: [5][2770/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.3058 (3.3825) Prec@1 31.250 (29.018) Prec@5 53.516 (54.151)
Epoch: [5][2780/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.3317 (3.3825) Prec@1 30.469 (29.019) Prec@5 54.688 (54.154)
Epoch: [5][2790/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1265 (3.3823) Prec@1 30.078 (29.021) Prec@5 59.375 (54.163)
Epoch: [5][2800/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.4316 (3.3823) Prec@1 27.734 (29.019) Prec@5 55.078 (54.160)
Epoch: [5][2810/5005] Time 0.620 (0.615) Data 0.001 (0.002) Loss 3.1085 (3.3821) Prec@1 32.812 (29.021) Prec@5 55.859 (54.163)
Epoch: [5][2820/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.5041 (3.3819) Prec@1 29.688 (29.028) Prec@5 53.516 (54.172)
Epoch: [5][2830/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2033 (3.3818) Prec@1 33.594 (29.030) Prec@5 58.984 (54.176)
Epoch: [5][2840/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.2005 (3.3814) Prec@1 28.125 (29.032) Prec@5 59.375 (54.183)
Epoch: [5][2850/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.4974 (3.3814) Prec@1 26.172 (29.031) Prec@5 52.734 (54.188)
Epoch: [5][2860/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1250 (3.3812) Prec@1 32.422 (29.031) Prec@5 58.984 (54.194)
Epoch: [5][2870/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.1428 (3.3808) Prec@1 31.250 (29.033) Prec@5 58.203 (54.201)
Epoch: [5][2880/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.2950 (3.3805) Prec@1 31.641 (29.036) Prec@5 55.078 (54.211)
Epoch: [5][2890/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.1731 (3.3802) Prec@1 32.422 (29.040) Prec@5 58.203 (54.213)
Epoch: [5][2900/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1832 (3.3799) Prec@1 30.469 (29.043) Prec@5 55.469 (54.217)
Epoch: [5][2910/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.3888 (3.3798) Prec@1 27.344 (29.044) Prec@5 55.078 (54.218)
Epoch: [5][2920/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.0773 (3.3795) Prec@1 31.641 (29.049) Prec@5 59.766 (54.224)
Epoch: [5][2930/5005] Time 0.593 (0.615) Data 0.000 (0.002) Loss 3.3292 (3.3790) Prec@1 28.906 (29.056) Prec@5 56.641 (54.235)
Epoch: [5][2940/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.3969 (3.3790) Prec@1 31.250 (29.061) Prec@5 52.734 (54.236)
Epoch: [5][2950/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.2043 (3.3785) Prec@1 32.812 (29.066) Prec@5 57.422 (54.244)
Epoch: [5][2960/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.4170 (3.3784) Prec@1 33.203 (29.070) Prec@5 54.297 (54.246)
Epoch: [5][2970/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.3070 (3.3785) Prec@1 30.859 (29.072) Prec@5 53.516 (54.246)
Epoch: [5][2980/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 3.4104 (3.3785) Prec@1 26.953 (29.070) Prec@5 52.734 (54.247)
Epoch: [5][2990/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.4488 (3.3783) Prec@1 28.125 (29.075) Prec@5 52.734 (54.246)
Epoch: [5][3000/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1904 (3.3783) Prec@1 32.031 (29.072) Prec@5 57.812 (54.245)
Epoch: [5][3010/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.3269 (3.3783) Prec@1 28.906 (29.070) Prec@5 55.469 (54.248)
Epoch: [5][3020/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2671 (3.3781) Prec@1 32.812 (29.076) Prec@5 58.203 (54.255)
Epoch: [5][3030/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.2299 (3.3780) Prec@1 30.469 (29.078) Prec@5 57.422 (54.259)
Epoch: [5][3040/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.2970 (3.3776) Prec@1 27.344 (29.082) Prec@5 53.906 (54.266)
Epoch: [5][3050/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.0060 (3.3770) Prec@1 35.547 (29.093) Prec@5 59.766 (54.275)
Epoch: [5][3060/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.1937 (3.3767) Prec@1 27.734 (29.096) Prec@5 56.641 (54.279)
Epoch: [5][3070/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.6047 (3.3765) Prec@1 27.344 (29.102) Prec@5 52.734 (54.285)
Epoch: [5][3080/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.6007 (3.3762) Prec@1 30.859 (29.108) Prec@5 50.781 (54.290)
Epoch: [5][3090/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.3686 (3.3760) Prec@1 31.250 (29.111) Prec@5 56.250 (54.295)
Epoch: [5][3100/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1421 (3.3757) Prec@1 33.203 (29.121) Prec@5 57.812 (54.299)
Epoch: [5][3110/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.3348 (3.3755) Prec@1 28.516 (29.120) Prec@5 53.906 (54.303)
Epoch: [5][3120/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4278 (3.3755) Prec@1 28.125 (29.125) Prec@5 53.516 (54.301)
Epoch: [5][3130/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.4422 (3.3752) Prec@1 28.125 (29.129) Prec@5 52.344 (54.306)
Epoch: [5][3140/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.3966 (3.3751) Prec@1 30.859 (29.128) Prec@5 54.297 (54.307)
Epoch: [5][3150/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9520 (3.3746) Prec@1 35.156 (29.136) Prec@5 58.203 (54.314)
Epoch: [5][3160/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.0489 (3.3743) Prec@1 32.422 (29.145) Prec@5 59.375 (54.320)
Epoch: [5][3170/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.2970 (3.3740) Prec@1 31.250 (29.148) Prec@5 57.812 (54.329)
Epoch: [5][3180/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.2326 (3.3740) Prec@1 30.078 (29.148) Prec@5 59.766 (54.330)
Epoch: [5][3190/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.2929 (3.3740) Prec@1 32.422 (29.148) Prec@5 57.422 (54.329)
Epoch: [5][3200/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.5046 (3.3739) Prec@1 26.172 (29.148) Prec@5 53.516 (54.331)
Epoch: [5][3210/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9749 (3.3738) Prec@1 35.547 (29.148) Prec@5 63.281 (54.334)
Epoch: [5][3220/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.4402 (3.3737) Prec@1 26.562 (29.148) Prec@5 56.250 (54.338)
Epoch: [5][3230/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 3.2934 (3.3735) Prec@1 33.203 (29.155) Prec@5 57.812 (54.340)
Epoch: [5][3240/5005] Time 0.621 (0.615) Data 0.001 (0.002) Loss 3.2610 (3.3732) Prec@1 32.031 (29.155) Prec@5 58.203 (54.346)
Epoch: [5][3250/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.5456 (3.3730) Prec@1 28.516 (29.158) Prec@5 50.000 (54.349)
Epoch: [5][3260/5005] Time 0.608 (0.615) Data 0.001 (0.002) Loss 3.1548 (3.3725) Prec@1 32.031 (29.167) Prec@5 59.766 (54.354)
Epoch: [5][3270/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.2686 (3.3721) Prec@1 31.641 (29.171) Prec@5 58.594 (54.363)
Epoch: [5][3280/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.3544 (3.3720) Prec@1 28.906 (29.171) Prec@5 57.812 (54.368)
Epoch: [5][3290/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.2030 (3.3718) Prec@1 30.859 (29.170) Prec@5 60.156 (54.374)
Epoch: [5][3300/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.3629 (3.3717) Prec@1 29.297 (29.173) Prec@5 55.859 (54.379)
Epoch: [5][3310/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.4968 (3.3714) Prec@1 26.562 (29.177) Prec@5 51.172 (54.381)
Epoch: [5][3320/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.4140 (3.3711) Prec@1 27.734 (29.183) Prec@5 55.859 (54.387)
Epoch: [5][3330/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.4418 (3.3711) Prec@1 28.906 (29.184) Prec@5 56.641 (54.387)
Epoch: [5][3340/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.2570 (3.3711) Prec@1 28.516 (29.184) Prec@5 57.031 (54.386)
Epoch: [5][3350/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2074 (3.3711) Prec@1 32.031 (29.187) Prec@5 57.422 (54.387)
Epoch: [5][3360/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.2149 (3.3708) Prec@1 34.766 (29.194) Prec@5 61.328 (54.390)
Epoch: [5][3370/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.3755 (3.3707) Prec@1 28.906 (29.192) Prec@5 56.250 (54.392)
Epoch: [5][3380/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.2639 (3.3703) Prec@1 31.250 (29.198) Prec@5 62.109 (54.402)
Epoch: [5][3390/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.2122 (3.3702) Prec@1 32.031 (29.196) Prec@5 61.328 (54.405)
Epoch: [5][3400/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.3232 (3.3701) Prec@1 28.516 (29.199) Prec@5 57.031 (54.408)
Epoch: [5][3410/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.1004 (3.3697) Prec@1 28.906 (29.204) Prec@5 60.938 (54.414)
Epoch: [5][3420/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.3320 (3.3693) Prec@1 28.906 (29.209) Prec@5 57.422 (54.422)
Epoch: [5][3430/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1876 (3.3691) Prec@1 31.641 (29.211) Prec@5 56.641 (54.425)
Epoch: [5][3440/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.4942 (3.3687) Prec@1 27.344 (29.216) Prec@5 48.438 (54.428)
Epoch: [5][3450/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.4363 (3.3684) Prec@1 26.953 (29.222) Prec@5 54.688 (54.434)
Epoch: [5][3460/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.3705 (3.3680) Prec@1 31.641 (29.227) Prec@5 54.688 (54.442)
Epoch: [5][3470/5005] Time 0.600 (0.614) Data 0.000 (0.002) Loss 3.3031 (3.3676) Prec@1 30.469 (29.237) Prec@5 50.391 (54.449)
Epoch: [5][3480/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.3568 (3.3675) Prec@1 25.781 (29.241) Prec@5 56.250 (54.453)
Epoch: [5][3490/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.2768 (3.3671) Prec@1 32.031 (29.246) Prec@5 56.250 (54.462)
Epoch: [5][3500/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.1192 (3.3669) Prec@1 32.812 (29.246) Prec@5 57.031 (54.464)
Epoch: [5][3510/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 3.3003 (3.3666) Prec@1 31.250 (29.252) Prec@5 53.906 (54.463)
Epoch: [5][3520/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.2678 (3.3665) Prec@1 32.031 (29.255) Prec@5 55.859 (54.466)
Epoch: [5][3530/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.1802 (3.3660) Prec@1 32.812 (29.262) Prec@5 59.766 (54.476)
Epoch: [5][3540/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.4269 (3.3656) Prec@1 26.562 (29.270) Prec@5 50.391 (54.480)
Epoch: [5][3550/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.2442 (3.3653) Prec@1 32.812 (29.277) Prec@5 59.375 (54.488)
Epoch: [5][3560/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.4592 (3.3650) Prec@1 30.859 (29.283) Prec@5 51.953 (54.493)
Epoch: [5][3570/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.4663 (3.3646) Prec@1 30.078 (29.287) Prec@5 51.953 (54.498)
Epoch: [5][3580/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.4286 (3.3643) Prec@1 27.734 (29.297) Prec@5 49.219 (54.503)
Epoch: [5][3590/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.1902 (3.3639) Prec@1 27.344 (29.303) Prec@5 59.766 (54.510)
Epoch: [5][3600/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.3676 (3.3638) Prec@1 28.516 (29.304) Prec@5 57.422 (54.513)
Epoch: [5][3610/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 3.2211 (3.3633) Prec@1 30.078 (29.310) Prec@5 57.422 (54.521)
Epoch: [5][3620/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.3465 (3.3630) Prec@1 30.469 (29.313) Prec@5 54.688 (54.526)
Epoch: [5][3630/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.2980 (3.3628) Prec@1 29.688 (29.315) Prec@5 57.812 (54.527)
Epoch: [5][3640/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.3921 (3.3624) Prec@1 30.859 (29.315) Prec@5 51.172 (54.531)
Epoch: [5][3650/5005] Time 0.610 (0.614) Data 0.001 (0.002) Loss 3.1575 (3.3621) Prec@1 30.859 (29.318) Prec@5 56.250 (54.536)
Epoch: [5][3660/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.2101 (3.3619) Prec@1 30.078 (29.323) Prec@5 54.688 (54.540)
Epoch: [5][3670/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.2311 (3.3616) Prec@1 30.078 (29.327) Prec@5 56.641 (54.546)
Epoch: [5][3680/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.4233 (3.3614) Prec@1 30.078 (29.331) Prec@5 57.031 (54.550)
Epoch: [5][3690/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.3644 (3.3612) Prec@1 26.562 (29.332) Prec@5 55.859 (54.555)
Epoch: [5][3700/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.3780 (3.3612) Prec@1 30.078 (29.333) Prec@5 53.125 (54.555)
Epoch: [5][3710/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.2508 (3.3611) Prec@1 28.125 (29.333) Prec@5 60.938 (54.556)
Epoch: [5][3720/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.1891 (3.3605) Prec@1 28.906 (29.341) Prec@5 56.250 (54.568)
Epoch: [5][3730/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 3.2575 (3.3605) Prec@1 31.641 (29.343) Prec@5 57.422 (54.570)
Epoch: [5][3740/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.3293 (3.3601) Prec@1 25.391 (29.349) Prec@5 55.078 (54.580)
Epoch: [5][3750/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.1932 (3.3597) Prec@1 31.641 (29.357) Prec@5 57.812 (54.586)
Epoch: [5][3760/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.4660 (3.3595) Prec@1 27.734 (29.360) Prec@5 53.906 (54.589)
Epoch: [5][3770/5005] Time 0.605 (0.614) Data 0.001 (0.002) Loss 3.3179 (3.3594) Prec@1 32.031 (29.362) Prec@5 52.344 (54.591)
Epoch: [5][3780/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.2841 (3.3590) Prec@1 33.203 (29.371) Prec@5 56.250 (54.597)
Epoch: [5][3790/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.2801 (3.3588) Prec@1 26.172 (29.371) Prec@5 56.250 (54.600)
Epoch: [5][3800/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.3348 (3.3587) Prec@1 27.734 (29.375) Prec@5 50.781 (54.604)
Epoch: [5][3810/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.3608 (3.3583) Prec@1 31.641 (29.381) Prec@5 56.250 (54.610)
Epoch: [5][3820/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.0770 (3.3580) Prec@1 33.203 (29.383) Prec@5 56.641 (54.616)
Epoch: [5][3830/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.4228 (3.3577) Prec@1 27.344 (29.388) Prec@5 52.734 (54.626)
Epoch: [5][3840/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.4444 (3.3573) Prec@1 27.734 (29.394) Prec@5 50.000 (54.630)
Epoch: [5][3850/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.3264 (3.3571) Prec@1 29.688 (29.398) Prec@5 52.344 (54.636)
Epoch: [5][3860/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.2635 (3.3568) Prec@1 32.422 (29.404) Prec@5 56.250 (54.643)
Epoch: [5][3870/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.4262 (3.3566) Prec@1 28.125 (29.405) Prec@5 53.906 (54.646)
Epoch: [5][3880/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.1413 (3.3565) Prec@1 32.422 (29.407) Prec@5 60.156 (54.651)
Epoch: [5][3890/5005] Time 0.607 (0.614) Data 0.001 (0.002) Loss 3.1430 (3.3563) Prec@1 34.766 (29.410) Prec@5 60.547 (54.655)
Epoch: [5][3900/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.2685 (3.3561) Prec@1 30.078 (29.410) Prec@5 56.641 (54.661)
Epoch: [5][3910/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.1754 (3.3558) Prec@1 29.688 (29.413) Prec@5 56.250 (54.665)
Epoch: [5][3920/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.3318 (3.3556) Prec@1 29.297 (29.416) Prec@5 54.297 (54.669)
Epoch: [5][3930/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.9794 (3.3553) Prec@1 33.203 (29.420) Prec@5 59.766 (54.675)
Epoch: [5][3940/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.3588 (3.3551) Prec@1 26.953 (29.423) Prec@5 50.000 (54.676)
Epoch: [5][3950/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.1261 (3.3548) Prec@1 32.031 (29.428) Prec@5 57.812 (54.682)
Epoch: [5][3960/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.4515 (3.3547) Prec@1 28.516 (29.429) Prec@5 53.125 (54.686)
Epoch: [5][3970/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.0175 (3.3544) Prec@1 31.250 (29.435) Prec@5 61.719 (54.694)
Epoch: [5][3980/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.2008 (3.3544) Prec@1 31.641 (29.434) Prec@5 56.641 (54.698)
Epoch: [5][3990/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.2438 (3.3541) Prec@1 28.125 (29.439) Prec@5 55.469 (54.704)
Epoch: [5][4000/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.2818 (3.3540) Prec@1 28.516 (29.441) Prec@5 55.859 (54.705)
Epoch: [5][4010/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.4034 (3.3538) Prec@1 25.391 (29.445) Prec@5 51.562 (54.708)
Epoch: [5][4020/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.6057 (3.3536) Prec@1 23.828 (29.446) Prec@5 50.391 (54.714)
Epoch: [5][4030/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.2360 (3.3533) Prec@1 32.812 (29.451) Prec@5 55.859 (54.719)
Epoch: [5][4040/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.4296 (3.3530) Prec@1 32.031 (29.458) Prec@5 53.125 (54.722)
Epoch: [5][4050/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.3750 (3.3530) Prec@1 32.422 (29.460) Prec@5 55.859 (54.724)
Epoch: [5][4060/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.0746 (3.3524) Prec@1 35.938 (29.466) Prec@5 61.719 (54.735)
Epoch: [5][4070/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.0597 (3.3523) Prec@1 36.328 (29.469) Prec@5 58.594 (54.735)
Epoch: [5][4080/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.2139 (3.3523) Prec@1 30.859 (29.469) Prec@5 55.859 (54.738)
Epoch: [5][4090/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.3049 (3.3522) Prec@1 28.516 (29.468) Prec@5 56.250 (54.738)
Epoch: [5][4100/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.2167 (3.3519) Prec@1 32.422 (29.475) Prec@5 58.203 (54.745)
Epoch: [5][4110/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.3059 (3.3516) Prec@1 35.547 (29.482) Prec@5 57.422 (54.751)
Epoch: [5][4120/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.1699 (3.3512) Prec@1 28.906 (29.488) Prec@5 56.250 (54.760)
Epoch: [5][4130/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1418 (3.3511) Prec@1 30.859 (29.493) Prec@5 60.156 (54.763)
Epoch: [5][4140/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.2187 (3.3508) Prec@1 32.422 (29.496) Prec@5 58.594 (54.770)
Epoch: [5][4150/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.0814 (3.3503) Prec@1 33.203 (29.503) Prec@5 62.891 (54.778)
Epoch: [5][4160/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.9942 (3.3501) Prec@1 36.328 (29.509) Prec@5 61.719 (54.783)
Epoch: [5][4170/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.3413 (3.3497) Prec@1 30.078 (29.511) Prec@5 54.297 (54.790)
Epoch: [5][4180/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.1903 (3.3494) Prec@1 31.641 (29.513) Prec@5 58.984 (54.797)
Epoch: [5][4190/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0333 (3.3492) Prec@1 35.547 (29.515) Prec@5 64.062 (54.804)
Epoch: [5][4200/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.3867 (3.3489) Prec@1 25.391 (29.517) Prec@5 53.906 (54.807)
Epoch: [5][4210/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.1398 (3.3486) Prec@1 35.156 (29.521) Prec@5 58.203 (54.810)
Epoch: [5][4220/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.1299 (3.3484) Prec@1 30.859 (29.526) Prec@5 57.812 (54.815)
Epoch: [5][4230/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 3.4299 (3.3480) Prec@1 26.953 (29.532) Prec@5 54.297 (54.822)
Epoch: [5][4240/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.2463 (3.3476) Prec@1 32.422 (29.538) Prec@5 58.984 (54.830)
Epoch: [5][4250/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.9616 (3.3473) Prec@1 35.938 (29.544) Prec@5 62.891 (54.835)
Epoch: [5][4260/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.3359 (3.3472) Prec@1 29.688 (29.545) Prec@5 53.906 (54.837)
Epoch: [5][4270/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.9520 (3.3469) Prec@1 37.891 (29.549) Prec@5 64.062 (54.843)
Epoch: [5][4280/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5417 (3.3466) Prec@1 25.000 (29.551) Prec@5 51.562 (54.847)
Epoch: [5][4290/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.4683 (3.3463) Prec@1 28.125 (29.554) Prec@5 51.172 (54.853)
Epoch: [5][4300/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.2618 (3.3461) Prec@1 29.297 (29.559) Prec@5 55.078 (54.856)
Epoch: [5][4310/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.1407 (3.3457) Prec@1 33.203 (29.564) Prec@5 58.984 (54.863)
Epoch: [5][4320/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.4779 (3.3455) Prec@1 31.250 (29.566) Prec@5 53.906 (54.867)
Epoch: [5][4330/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.3091 (3.3453) Prec@1 33.984 (29.570) Prec@5 56.250 (54.870)
Epoch: [5][4340/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.3403 (3.3450) Prec@1 30.859 (29.574) Prec@5 54.688 (54.875)
Epoch: [5][4350/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 3.2017 (3.3448) Prec@1 28.906 (29.579) Prec@5 55.859 (54.877)
Epoch: [5][4360/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 3.2760 (3.3446) Prec@1 32.422 (29.582) Prec@5 54.297 (54.881)
Epoch: [5][4370/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.2030 (3.3444) Prec@1 32.422 (29.586) Prec@5 58.203 (54.885)
Epoch: [5][4380/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.2275 (3.3441) Prec@1 35.156 (29.592) Prec@5 57.422 (54.891)
Epoch: [5][4390/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.0423 (3.3437) Prec@1 33.984 (29.597) Prec@5 59.375 (54.899)
Epoch: [5][4400/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.1681 (3.3436) Prec@1 33.594 (29.599) Prec@5 57.422 (54.900)
Epoch: [5][4410/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.5717 (3.3435) Prec@1 28.516 (29.604) Prec@5 52.734 (54.905)
Epoch: [5][4420/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.2024 (3.3433) Prec@1 34.375 (29.608) Prec@5 57.422 (54.912)
Epoch: [5][4430/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.2399 (3.3429) Prec@1 30.859 (29.614) Prec@5 57.812 (54.917)
Epoch: [5][4440/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.2807 (3.3425) Prec@1 30.469 (29.622) Prec@5 56.641 (54.924)
Epoch: [5][4450/5005] Time 0.608 (0.614) Data 0.001 (0.001) Loss 3.2122 (3.3426) Prec@1 31.641 (29.622) Prec@5 54.297 (54.921)
Epoch: [5][4460/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.2289 (3.3425) Prec@1 34.766 (29.623) Prec@5 57.031 (54.921)
Epoch: [5][4470/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.4732 (3.3425) Prec@1 24.219 (29.622) Prec@5 52.344 (54.921)
Epoch: [5][4480/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.0959 (3.3423) Prec@1 34.766 (29.625) Prec@5 56.250 (54.926)
Epoch: [5][4490/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 3.2211 (3.3422) Prec@1 32.031 (29.628) Prec@5 54.688 (54.928)
Epoch: [5][4500/5005] Time 0.594 (0.614) Data 0.000 (0.001) Loss 3.1517 (3.3419) Prec@1 29.297 (29.634) Prec@5 57.031 (54.935)
Epoch: [5][4510/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1668 (3.3418) Prec@1 34.766 (29.639) Prec@5 57.812 (54.939)
Epoch: [5][4520/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.3422 (3.3415) Prec@1 27.344 (29.646) Prec@5 56.641 (54.946)
Epoch: [5][4530/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.0803 (3.3414) Prec@1 35.938 (29.649) Prec@5 58.203 (54.949)
Epoch: [5][4540/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.9328 (3.3413) Prec@1 35.938 (29.652) Prec@5 60.938 (54.951)
Epoch: [5][4550/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 3.3128 (3.3412) Prec@1 30.469 (29.654) Prec@5 54.688 (54.954)
Epoch: [5][4560/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.2456 (3.3410) Prec@1 29.688 (29.656) Prec@5 56.641 (54.958)
Epoch: [5][4570/5005] Time 0.605 (0.614) Data 0.001 (0.001) Loss 3.1959 (3.3407) Prec@1 33.594 (29.660) Prec@5 54.297 (54.961)
Epoch: [5][4580/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.2281 (3.3404) Prec@1 28.906 (29.665) Prec@5 57.031 (54.968)
Epoch: [5][4590/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.4749 (3.3402) Prec@1 32.422 (29.669) Prec@5 52.344 (54.972)
Epoch: [5][4600/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.9508 (3.3401) Prec@1 33.594 (29.670) Prec@5 62.109 (54.974)
Epoch: [5][4610/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.3111 (3.3399) Prec@1 29.297 (29.676) Prec@5 55.469 (54.979)
Epoch: [5][4620/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.1322 (3.3398) Prec@1 33.203 (29.680) Prec@5 57.031 (54.982)
Epoch: [5][4630/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.1869 (3.3395) Prec@1 33.984 (29.684) Prec@5 60.938 (54.987)
Epoch: [5][4640/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.0656 (3.3394) Prec@1 33.203 (29.687) Prec@5 59.766 (54.992)
Epoch: [5][4650/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.4639 (3.3392) Prec@1 30.469 (29.692) Prec@5 53.516 (54.999)
Epoch: [5][4660/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.5829 (3.3391) Prec@1 29.688 (29.694) Prec@5 48.047 (54.997)
Epoch: [5][4670/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.2591 (3.3389) Prec@1 31.641 (29.697) Prec@5 53.906 (55.001)
Epoch: [5][4680/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.2481 (3.3386) Prec@1 33.203 (29.706) Prec@5 57.812 (55.007)
Epoch: [5][4690/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.0940 (3.3384) Prec@1 38.281 (29.709) Prec@5 60.547 (55.011)
Epoch: [5][4700/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.1798 (3.3382) Prec@1 33.203 (29.708) Prec@5 59.766 (55.016)
Epoch: [5][4710/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.1946 (3.3380) Prec@1 30.859 (29.711) Prec@5 57.031 (55.020)
Epoch: [5][4720/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.0606 (3.3379) Prec@1 37.109 (29.713) Prec@5 60.156 (55.022)
Epoch: [5][4730/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.1860 (3.3376) Prec@1 32.031 (29.720) Prec@5 57.812 (55.028)
Epoch: [5][4740/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 2.9234 (3.3373) Prec@1 36.719 (29.725) Prec@5 62.891 (55.032)
Epoch: [5][4750/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.3750 (3.3371) Prec@1 30.078 (29.729) Prec@5 54.688 (55.036)
Epoch: [5][4760/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.2061 (3.3368) Prec@1 31.250 (29.733) Prec@5 57.812 (55.043)
Epoch: [5][4770/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.1966 (3.3366) Prec@1 36.719 (29.737) Prec@5 56.641 (55.046)
Epoch: [5][4780/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.3307 (3.3364) Prec@1 27.734 (29.743) Prec@5 54.688 (55.050)
Epoch: [5][4790/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1987 (3.3361) Prec@1 32.031 (29.748) Prec@5 58.594 (55.057)
Epoch: [5][4800/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 3.2698 (3.3359) Prec@1 32.812 (29.753) Prec@5 54.297 (55.061)
Epoch: [5][4810/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 3.3591 (3.3359) Prec@1 28.516 (29.753) Prec@5 54.297 (55.061)
Epoch: [5][4820/5005] Time 0.614 (0.614) Data 0.001 (0.001) Loss 3.4410 (3.3358) Prec@1 25.781 (29.753) Prec@5 54.688 (55.063)
Epoch: [5][4830/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.2371 (3.3356) Prec@1 28.125 (29.754) Prec@5 59.766 (55.065)
Epoch: [5][4840/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.1691 (3.3353) Prec@1 31.250 (29.759) Prec@5 59.766 (55.070)
Epoch: [5][4850/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.5333 (3.3353) Prec@1 27.344 (29.760) Prec@5 48.828 (55.071)
Epoch: [5][4860/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.9963 (3.3349) Prec@1 35.156 (29.770) Prec@5 58.203 (55.077)
Epoch: [5][4870/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0994 (3.3346) Prec@1 34.375 (29.775) Prec@5 57.031 (55.082)
Epoch: [5][4880/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.2943 (3.3345) Prec@1 30.078 (29.777) Prec@5 56.250 (55.086)
Epoch: [5][4890/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 3.1629 (3.3343) Prec@1 35.547 (29.782) Prec@5 58.203 (55.090)
Epoch: [5][4900/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.2931 (3.3342) Prec@1 31.641 (29.785) Prec@5 55.078 (55.093)
Epoch: [5][4910/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.4996 (3.3339) Prec@1 29.688 (29.790) Prec@5 51.562 (55.100)
Epoch: [5][4920/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.2297 (3.3337) Prec@1 35.547 (29.793) Prec@5 57.812 (55.105)
Epoch: [5][4930/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.1028 (3.3335) Prec@1 34.766 (29.796) Prec@5 61.719 (55.109)
Epoch: [5][4940/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.1945 (3.3331) Prec@1 31.250 (29.800) Prec@5 53.906 (55.116)
Epoch: [5][4950/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1353 (3.3329) Prec@1 35.938 (29.805) Prec@5 58.203 (55.121)
Epoch: [5][4960/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.9999 (3.3326) Prec@1 36.328 (29.809) Prec@5 57.812 (55.124)
Epoch: [5][4970/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.4279 (3.3325) Prec@1 27.344 (29.809) Prec@5 55.078 (55.126)
Epoch: [5][4980/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 3.1656 (3.3323) Prec@1 30.469 (29.812) Prec@5 59.766 (55.130)
Epoch: [5][4990/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.9937 (3.3321) Prec@1 36.328 (29.817) Prec@5 60.938 (55.132)
Epoch: [5][5000/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0813 (3.3318) Prec@1 30.859 (29.821) Prec@5 60.547 (55.136)
Test: [0/196] Time 5.233 (5.233) Loss 1.7177 (1.7177) Prec@1 55.469 (55.469) Prec@5 84.766 (84.766)
Test: [10/196] Time 0.204 (0.661) Loss 2.6295 (2.1619) Prec@1 31.641 (48.651) Prec@5 67.578 (74.645)
Test: [20/196] Time 0.203 (0.443) Loss 2.1133 (2.1320) Prec@1 54.297 (50.242) Prec@5 75.781 (75.577)
Test: [30/196] Time 0.203 (0.367) Loss 2.3211 (2.1394) Prec@1 39.062 (49.975) Prec@5 73.438 (75.542)
Test: [40/196] Time 0.204 (0.327) Loss 2.5551 (2.2465) Prec@1 38.281 (46.084) Prec@5 67.188 (74.047)
Test: [50/196] Time 0.203 (0.303) Loss 1.7840 (2.2312) Prec@1 51.953 (45.259) Prec@5 86.719 (74.770)
Test: [60/196] Time 0.202 (0.287) Loss 2.8449 (2.2086) Prec@1 30.078 (45.466) Prec@5 66.406 (75.480)
Test: [70/196] Time 0.202 (0.276) Loss 2.2583 (2.1928) Prec@1 48.438 (45.896) Prec@5 71.875 (75.567)
Test: [80/196] Time 0.203 (0.267) Loss 3.0943 (2.2261) Prec@1 34.375 (45.515) Prec@5 62.500 (74.961)
Test: [90/196] Time 0.202 (0.260) Loss 3.9338 (2.3250) Prec@1 18.359 (44.033) Prec@5 43.359 (73.253)
Test: [100/196] Time 0.202 (0.255) Loss 3.7718 (2.4090) Prec@1 21.875 (42.888) Prec@5 50.781 (71.685)
Test: [110/196] Time 0.206 (0.250) Loss 2.6845 (2.4505) Prec@1 44.922 (42.473) Prec@5 67.578 (71.020)
Test: [120/196] Time 0.202 (0.246) Loss 3.8321 (2.4980) Prec@1 24.219 (42.000) Prec@5 48.438 (70.112)
Test: [130/196] Time 0.201 (0.243) Loss 2.9380 (2.5365) Prec@1 39.062 (41.421) Prec@5 62.109 (69.490)
Test: [140/196] Time 0.202 (0.240) Loss 3.0261 (2.5761) Prec@1 37.109 (40.877) Prec@5 62.109 (68.672)
Test: [150/196] Time 0.203 (0.238) Loss 3.2132 (2.6186) Prec@1 33.594 (40.483) Prec@5 58.203 (67.953)
Test: [160/196] Time 0.204 (0.236) Loss 2.5796 (2.6412) Prec@1 47.656 (40.232) Prec@5 70.312 (67.542)
Test: [170/196] Time 0.202 (0.234) Loss 2.0436 (2.6719) Prec@1 46.875 (39.718) Prec@5 79.688 (66.991)
Test: [180/196] Time 0.201 (0.232) Loss 2.4692 (2.6955) Prec@1 36.328 (39.384) Prec@5 71.484 (66.540)
Test: [190/196] Time 0.202 (0.231) Loss 2.0746 (2.6802) Prec@1 48.828 (39.537) Prec@5 81.250 (66.903)
* Prec@1 39.882 Prec@5 67.088
Epoch: [6][0/5005] Time 4.011 (4.011) Data 3.749 (3.749) Loss 3.2096 (3.2096) Prec@1 32.031 (32.031) Prec@5 58.984 (58.984)
Epoch: [6][10/5005] Time 0.601 (0.917) Data 0.000 (0.382) Loss 3.3029 (3.2084) Prec@1 30.078 (32.209) Prec@5 58.203 (57.493)
Epoch: [6][20/5005] Time 0.618 (0.770) Data 0.000 (0.200) Loss 3.2556 (3.1865) Prec@1 34.766 (32.440) Prec@5 59.375 (58.389)
Epoch: [6][30/5005] Time 0.617 (0.720) Data 0.000 (0.136) Loss 3.1324 (3.1809) Prec@1 33.203 (32.334) Prec@5 57.812 (57.888)
Epoch: [6][40/5005] Time 0.621 (0.695) Data 0.000 (0.103) Loss 3.1805 (3.1810) Prec@1 34.766 (32.851) Prec@5 57.812 (57.708)
Epoch: [6][50/5005] Time 0.619 (0.679) Data 0.000 (0.083) Loss 3.1980 (3.1725) Prec@1 33.984 (32.889) Prec@5 57.812 (57.912)
Epoch: [6][60/5005] Time 0.618 (0.668) Data 0.000 (0.069) Loss 3.2560 (3.1869) Prec@1 35.156 (32.697) Prec@5 54.297 (57.550)
Epoch: [6][70/5005] Time 0.621 (0.661) Data 0.000 (0.060) Loss 3.1456 (3.1905) Prec@1 30.469 (32.510) Prec@5 59.375 (57.642)
Epoch: [6][80/5005] Time 0.610 (0.655) Data 0.000 (0.052) Loss 3.4236 (3.1958) Prec@1 28.906 (32.427) Prec@5 51.953 (57.528)
Epoch: [6][90/5005] Time 0.609 (0.650) Data 0.000 (0.047) Loss 3.1520 (3.1977) Prec@1 34.766 (32.293) Prec@5 59.375 (57.473)
Epoch: [6][100/5005] Time 0.614 (0.647) Data 0.001 (0.042) Loss 3.1835 (3.1988) Prec@1 33.984 (32.279) Prec@5 58.594 (57.534)
Epoch: [6][110/5005] Time 0.607 (0.644) Data 0.000 (0.038) Loss 2.9744 (3.1970) Prec@1 33.984 (32.316) Prec@5 66.406 (57.626)
Epoch: [6][120/5005] Time 0.614 (0.641) Data 0.000 (0.035) Loss 3.0957 (3.1939) Prec@1 30.859 (32.283) Prec@5 62.891 (57.645)
Epoch: [6][130/5005] Time 0.622 (0.639) Data 0.000 (0.033) Loss 3.0612 (3.1999) Prec@1 35.156 (32.195) Prec@5 59.375 (57.598)
Epoch: [6][140/5005] Time 0.610 (0.637) Data 0.000 (0.030) Loss 3.1806 (3.2026) Prec@1 34.766 (32.195) Prec@5 59.375 (57.624)
Epoch: [6][150/5005] Time 0.617 (0.636) Data 0.001 (0.028) Loss 3.1101 (3.1993) Prec@1 32.031 (32.179) Prec@5 56.641 (57.673)
Epoch: [6][160/5005] Time 0.613 (0.634) Data 0.000 (0.027) Loss 3.3571 (3.1988) Prec@1 30.078 (32.128) Prec@5 57.422 (57.684)
Epoch: [6][170/5005] Time 0.619 (0.633) Data 0.000 (0.025) Loss 3.0436 (3.1988) Prec@1 32.031 (32.113) Prec@5 57.812 (57.680)
Epoch: [6][180/5005] Time 0.615 (0.632) Data 0.001 (0.024) Loss 3.2627 (3.1993) Prec@1 31.250 (32.072) Prec@5 54.688 (57.653)
Epoch: [6][190/5005] Time 0.609 (0.631) Data 0.000 (0.022) Loss 3.3022 (3.1977) Prec@1 28.516 (32.062) Prec@5 52.734 (57.694)
Epoch: [6][200/5005] Time 0.613 (0.630) Data 0.000 (0.021) Loss 3.3081 (3.1995) Prec@1 28.516 (31.987) Prec@5 58.594 (57.692)
Epoch: [6][210/5005] Time 0.622 (0.629) Data 0.000 (0.020) Loss 3.2060 (3.1978) Prec@1 35.156 (32.037) Prec@5 57.812 (57.740)
Epoch: [6][220/5005] Time 0.612 (0.629) Data 0.000 (0.019) Loss 3.1189 (3.1991) Prec@1 31.641 (32.038) Prec@5 56.641 (57.680)
Epoch: [6][230/5005] Time 0.615 (0.628) Data 0.001 (0.019) Loss 3.2107 (3.2014) Prec@1 32.031 (32.009) Prec@5 57.031 (57.632)
Epoch: [6][240/5005] Time 0.613 (0.627) Data 0.000 (0.018) Loss 2.9415 (3.2009) Prec@1 32.422 (31.970) Prec@5 60.156 (57.613)
Epoch: [6][250/5005] Time 0.621 (0.627) Data 0.000 (0.017) Loss 3.0650 (3.1993) Prec@1 32.031 (31.929) Prec@5 60.547 (57.637)
Epoch: [6][260/5005] Time 0.608 (0.626) Data 0.000 (0.017) Loss 3.1947 (3.1982) Prec@1 27.344 (31.953) Prec@5 57.812 (57.661)
Epoch: [6][270/5005] Time 0.625 (0.626) Data 0.000 (0.016) Loss 3.2897 (3.1988) Prec@1 30.469 (31.917) Prec@5 58.594 (57.612)
Epoch: [6][280/5005] Time 0.606 (0.625) Data 0.000 (0.015) Loss 3.3410 (3.1971) Prec@1 32.422 (31.942) Prec@5 53.516 (57.618)
Epoch: [6][290/5005] Time 0.621 (0.625) Data 0.000 (0.015) Loss 3.1589 (3.1968) Prec@1 31.250 (31.929) Prec@5 57.422 (57.637)
Epoch: [6][300/5005] Time 0.616 (0.624) Data 0.000 (0.014) Loss 2.9890 (3.1956) Prec@1 30.078 (31.926) Prec@5 58.594 (57.648)
Epoch: [6][310/5005] Time 0.620 (0.624) Data 0.000 (0.014) Loss 3.1661 (3.1969) Prec@1 32.422 (31.916) Prec@5 57.031 (57.600)
Epoch: [6][320/5005] Time 0.622 (0.624) Data 0.001 (0.014) Loss 3.1093 (3.1967) Prec@1 33.984 (31.916) Prec@5 62.109 (57.575)
Epoch: [6][330/5005] Time 0.616 (0.624) Data 0.000 (0.013) Loss 3.4045 (3.1969) Prec@1 28.125 (31.900) Prec@5 52.734 (57.560)
Epoch: [6][340/5005] Time 0.615 (0.623) Data 0.000 (0.013) Loss 3.2220 (3.1982) Prec@1 34.375 (31.921) Prec@5 54.297 (57.538)
Epoch: [6][350/5005] Time 0.613 (0.623) Data 0.000 (0.012) Loss 2.8336 (3.1960) Prec@1 35.156 (31.974) Prec@5 65.234 (57.579)
Epoch: [6][360/5005] Time 0.611 (0.623) Data 0.000 (0.012) Loss 3.2795 (3.1946) Prec@1 31.250 (31.991) Prec@5 53.906 (57.605)
Epoch: [6][370/5005] Time 0.618 (0.622) Data 0.000 (0.012) Loss 3.2390 (3.1970) Prec@1 33.984 (31.976) Prec@5 57.031 (57.571)
Epoch: [6][380/5005] Time 0.614 (0.622) Data 0.000 (0.011) Loss 3.0459 (3.1961) Prec@1 34.375 (32.010) Prec@5 61.328 (57.583)
Epoch: [6][390/5005] Time 0.618 (0.622) Data 0.000 (0.011) Loss 3.0656 (3.1923) Prec@1 37.891 (32.089) Prec@5 62.891 (57.652)
Epoch: [6][400/5005] Time 0.610 (0.622) Data 0.000 (0.011) Loss 3.4119 (3.1928) Prec@1 26.953 (32.066) Prec@5 52.734 (57.642)
Epoch: [6][410/5005] Time 0.616 (0.622) Data 0.001 (0.011) Loss 2.9968 (3.1917) Prec@1 35.156 (32.074) Prec@5 63.281 (57.662)
Epoch: [6][420/5005] Time 0.615 (0.621) Data 0.000 (0.010) Loss 3.1745 (3.1914) Prec@1 31.641 (32.082) Prec@5 58.984 (57.685)
Epoch: [6][430/5005] Time 0.613 (0.621) Data 0.001 (0.010) Loss 3.3729 (3.1902) Prec@1 26.562 (32.070) Prec@5 53.906 (57.712)
Epoch: [6][440/5005] Time 0.612 (0.621) Data 0.000 (0.010) Loss 3.1269 (3.1878) Prec@1 37.109 (32.079) Prec@5 57.031 (57.736)
Epoch: [6][450/5005] Time 0.609 (0.621) Data 0.001 (0.010) Loss 3.1164 (3.1858) Prec@1 32.031 (32.109) Prec@5 60.547 (57.813)
Epoch: [6][460/5005] Time 0.619 (0.621) Data 0.000 (0.010) Loss 3.2181 (3.1857) Prec@1 33.594 (32.119) Prec@5 53.906 (57.819)
Epoch: [6][470/5005] Time 0.617 (0.621) Data 0.000 (0.009) Loss 3.1830 (3.1858) Prec@1 29.688 (32.090) Prec@5 55.469 (57.827)
Epoch: [6][480/5005] Time 0.623 (0.620) Data 0.000 (0.009) Loss 3.2600 (3.1849) Prec@1 33.203 (32.108) Prec@5 57.422 (57.862)
Epoch: [6][490/5005] Time 0.607 (0.620) Data 0.001 (0.009) Loss 3.3418 (3.1851) Prec@1 28.906 (32.116) Prec@5 55.859 (57.879)
Epoch: [6][500/5005] Time 0.616 (0.620) Data 0.000 (0.009) Loss 3.0518 (3.1845) Prec@1 34.375 (32.131) Prec@5 62.109 (57.880)
Epoch: [6][510/5005] Time 0.615 (0.620) Data 0.000 (0.009) Loss 3.3090 (3.1842) Prec@1 30.469 (32.149) Prec@5 55.078 (57.873)
Epoch: [6][520/5005] Time 0.610 (0.620) Data 0.000 (0.009) Loss 3.0079 (3.1831) Prec@1 32.031 (32.176) Prec@5 62.109 (57.909)
Epoch: [6][530/5005] Time 0.616 (0.620) Data 0.000 (0.008) Loss 3.1261 (3.1825) Prec@1 35.938 (32.189) Prec@5 60.156 (57.932)
Epoch: [6][540/5005] Time 0.616 (0.620) Data 0.000 (0.008) Loss 3.0598 (3.1835) Prec@1 36.328 (32.168) Prec@5 61.328 (57.912)
Epoch: [6][550/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 3.0839 (3.1828) Prec@1 30.078 (32.169) Prec@5 61.719 (57.924)
Epoch: [6][560/5005] Time 0.618 (0.620) Data 0.000 (0.008) Loss 3.2202 (3.1835) Prec@1 30.469 (32.172) Prec@5 56.641 (57.906)
Epoch: [6][570/5005] Time 0.615 (0.619) Data 0.000 (0.008) Loss 3.0969 (3.1825) Prec@1 35.938 (32.191) Prec@5 58.203 (57.912)
Epoch: [6][580/5005] Time 0.618 (0.619) Data 0.001 (0.008) Loss 3.2177 (3.1840) Prec@1 30.859 (32.172) Prec@5 56.250 (57.888)
Epoch: [6][590/5005] Time 0.617 (0.619) Data 0.000 (0.008) Loss 3.1655 (3.1846) Prec@1 34.375 (32.168) Prec@5 57.812 (57.878)
Epoch: [6][600/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 3.1778 (3.1853) Prec@1 31.250 (32.157) Prec@5 57.812 (57.850)
Epoch: [6][610/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 3.2257 (3.1845) Prec@1 32.031 (32.175) Prec@5 58.203 (57.867)
Epoch: [6][620/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 3.4305 (3.1863) Prec@1 30.078 (32.146) Prec@5 54.688 (57.837)
Epoch: [6][630/5005] Time 0.613 (0.619) Data 0.001 (0.007) Loss 3.1341 (3.1868) Prec@1 35.938 (32.145) Prec@5 64.062 (57.835)
Epoch: [6][640/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 3.1037 (3.1862) Prec@1 33.203 (32.159) Prec@5 58.203 (57.844)
Epoch: [6][650/5005] Time 0.609 (0.619) Data 0.001 (0.007) Loss 3.1790 (3.1858) Prec@1 32.031 (32.167) Prec@5 58.594 (57.860)
Epoch: [6][660/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 3.0741 (3.1857) Prec@1 32.812 (32.170) Prec@5 61.328 (57.868)
Epoch: [6][670/5005] Time 0.611 (0.618) Data 0.001 (0.007) Loss 3.0802 (3.1856) Prec@1 34.375 (32.173) Prec@5 60.547 (57.862)
Epoch: [6][680/5005] Time 0.612 (0.618) Data 0.000 (0.007) Loss 3.1500 (3.1850) Prec@1 30.859 (32.192) Prec@5 60.547 (57.866)
Epoch: [6][690/5005] Time 0.614 (0.618) Data 0.000 (0.007) Loss 3.2569 (3.1852) Prec@1 28.516 (32.165) Prec@5 55.469 (57.867)
Epoch: [6][700/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 3.1584 (3.1840) Prec@1 30.469 (32.192) Prec@5 54.297 (57.868)
Epoch: [6][710/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.9718 (3.1828) Prec@1 35.156 (32.207) Prec@5 57.031 (57.866)
Epoch: [6][720/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.9462 (3.1821) Prec@1 35.156 (32.219) Prec@5 64.844 (57.886)
Epoch: [6][730/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 3.1212 (3.1816) Prec@1 33.594 (32.222) Prec@5 58.984 (57.895)
Epoch: [6][740/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 3.2275 (3.1826) Prec@1 31.250 (32.210) Prec@5 57.422 (57.860)
Epoch: [6][750/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 3.0975 (3.1827) Prec@1 35.547 (32.221) Prec@5 62.109 (57.874)
Epoch: [6][760/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 3.1168 (3.1817) Prec@1 33.203 (32.240) Prec@5 58.984 (57.897)
Epoch: [6][770/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 3.1727 (3.1811) Prec@1 31.641 (32.249) Prec@5 58.594 (57.922)
Epoch: [6][780/5005] Time 0.604 (0.618) Data 0.000 (0.006) Loss 3.3673 (3.1810) Prec@1 31.641 (32.244) Prec@5 57.812 (57.922)
Epoch: [6][790/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 3.2272 (3.1812) Prec@1 30.469 (32.255) Prec@5 59.375 (57.917)
Epoch: [6][800/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 3.3962 (3.1812) Prec@1 30.469 (32.261) Prec@5 54.297 (57.922)
Epoch: [6][810/5005] Time 0.615 (0.618) Data 0.001 (0.006) Loss 3.1405 (3.1811) Prec@1 31.641 (32.261) Prec@5 60.547 (57.935)
Epoch: [6][820/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 3.0198 (3.1797) Prec@1 37.109 (32.285) Prec@5 64.062 (57.970)
Epoch: [6][830/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 3.1240 (3.1785) Prec@1 35.547 (32.308) Prec@5 60.547 (57.996)
Epoch: [6][840/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 3.1808 (3.1780) Prec@1 32.422 (32.311) Prec@5 60.547 (58.007)
Epoch: [6][850/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 3.4588 (3.1783) Prec@1 26.562 (32.292) Prec@5 51.562 (57.998)
Epoch: [6][860/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 3.3622 (3.1790) Prec@1 29.297 (32.282) Prec@5 52.734 (57.992)
Epoch: [6][870/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.4807 (3.1793) Prec@1 29.688 (32.277) Prec@5 50.781 (57.973)
Epoch: [6][880/5005] Time 0.621 (0.617) Data 0.000 (0.005) Loss 2.9574 (3.1788) Prec@1 33.594 (32.284) Prec@5 62.891 (57.987)
Epoch: [6][890/5005] Time 0.618 (0.617) Data 0.000 (0.005) Loss 3.0135 (3.1780) Prec@1 32.422 (32.293) Prec@5 61.328 (58.003)
Epoch: [6][900/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 3.0035 (3.1779) Prec@1 34.766 (32.288) Prec@5 59.766 (58.003)
Epoch: [6][910/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.1078 (3.1774) Prec@1 31.250 (32.301) Prec@5 57.422 (58.010)
Epoch: [6][920/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 3.2343 (3.1766) Prec@1 32.422 (32.326) Prec@5 53.516 (58.019)
Epoch: [6][930/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.3653 (3.1764) Prec@1 29.688 (32.325) Prec@5 52.344 (58.032)
Epoch: [6][940/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 3.3435 (3.1759) Prec@1 30.859 (32.323) Prec@5 53.125 (58.042)
Epoch: [6][950/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.1150 (3.1759) Prec@1 32.031 (32.326) Prec@5 58.984 (58.046)
Epoch: [6][960/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 3.1562 (3.1759) Prec@1 32.812 (32.331) Prec@5 57.422 (58.045)
Epoch: [6][970/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 3.1434 (3.1762) Prec@1 33.594 (32.326) Prec@5 57.812 (58.041)
Epoch: [6][980/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 2.7967 (3.1760) Prec@1 39.062 (32.335) Prec@5 63.281 (58.052)
Epoch: [6][990/5005] Time 0.611 (0.617) Data 0.001 (0.005) Loss 3.0364 (3.1750) Prec@1 37.500 (32.361) Prec@5 58.984 (58.065)
Epoch: [6][1000/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.2919 (3.1750) Prec@1 32.031 (32.360) Prec@5 56.250 (58.071)
Epoch: [6][1010/5005] Time 0.605 (0.617) Data 0.000 (0.005) Loss 3.0841 (3.1742) Prec@1 35.156 (32.378) Prec@5 58.203 (58.085)
Epoch: [6][1020/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.1326 (3.1741) Prec@1 34.375 (32.374) Prec@5 58.203 (58.089)
Epoch: [6][1030/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 3.1712 (3.1738) Prec@1 32.812 (32.374) Prec@5 55.859 (58.095)
Epoch: [6][1040/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 2.9817 (3.1736) Prec@1 35.938 (32.370) Prec@5 61.719 (58.106)
Epoch: [6][1050/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 3.2954 (3.1733) Prec@1 29.297 (32.369) Prec@5 53.125 (58.108)
Epoch: [6][1060/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.3274 (3.1732) Prec@1 35.547 (32.377) Prec@5 58.203 (58.106)
Epoch: [6][1070/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.5119 (3.1732) Prec@1 26.953 (32.369) Prec@5 53.516 (58.102)
Epoch: [6][1080/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.0627 (3.1729) Prec@1 33.984 (32.366) Prec@5 59.375 (58.099)
Epoch: [6][1090/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 3.2088 (3.1725) Prec@1 28.516 (32.376) Prec@5 59.766 (58.110)
Epoch: [6][1100/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 3.4232 (3.1726) Prec@1 25.391 (32.367) Prec@5 54.688 (58.103)
Epoch: [6][1110/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 3.2386 (3.1717) Prec@1 32.422 (32.385) Prec@5 54.688 (58.115)
Epoch: [6][1120/5005] Time 0.621 (0.616) Data 0.001 (0.004) Loss 3.2368 (3.1717) Prec@1 32.422 (32.392) Prec@5 54.297 (58.116)
Epoch: [6][1130/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 3.0414 (3.1715) Prec@1 31.250 (32.401) Prec@5 56.641 (58.117)
Epoch: [6][1140/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 3.1746 (3.1715) Prec@1 36.328 (32.404) Prec@5 59.766 (58.115)
Epoch: [6][1150/5005] Time 0.612 (0.616) Data 0.001 (0.004) Loss 3.1085 (3.1713) Prec@1 34.375 (32.400) Prec@5 59.375 (58.116)
Epoch: [6][1160/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.3536 (3.1717) Prec@1 28.906 (32.402) Prec@5 54.297 (58.112)
Epoch: [6][1170/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 3.0438 (3.1722) Prec@1 34.375 (32.399) Prec@5 60.938 (58.098)
Epoch: [6][1180/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.7752 (3.1720) Prec@1 42.969 (32.414) Prec@5 64.062 (58.106)
Epoch: [6][1190/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.2828 (3.1713) Prec@1 28.125 (32.427) Prec@5 59.766 (58.124)
Epoch: [6][1200/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.3229 (3.1710) Prec@1 28.906 (32.423) Prec@5 55.078 (58.125)
Epoch: [6][1210/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.1637 (3.1711) Prec@1 35.156 (32.424) Prec@5 58.984 (58.133)
Epoch: [6][1220/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.0467 (3.1709) Prec@1 30.469 (32.428) Prec@5 59.375 (58.139)
Epoch: [6][1230/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 3.0515 (3.1708) Prec@1 39.062 (32.431) Prec@5 57.812 (58.139)
Epoch: [6][1240/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.3357 (3.1711) Prec@1 33.984 (32.429) Prec@5 55.078 (58.132)
Epoch: [6][1250/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.9831 (3.1711) Prec@1 32.812 (32.426) Prec@5 61.328 (58.136)
Epoch: [6][1260/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 3.1852 (3.1711) Prec@1 32.812 (32.420) Prec@5 56.250 (58.127)
Epoch: [6][1270/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.9816 (3.1711) Prec@1 35.547 (32.420) Prec@5 59.766 (58.125)
Epoch: [6][1280/5005] Time 0.623 (0.616) Data 0.000 (0.004) Loss 3.0353 (3.1708) Prec@1 35.156 (32.426) Prec@5 62.500 (58.137)
Epoch: [6][1290/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 3.1019 (3.1702) Prec@1 30.859 (32.426) Prec@5 62.500 (58.158)
Epoch: [6][1300/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.9836 (3.1700) Prec@1 34.766 (32.430) Prec@5 63.672 (58.165)
Epoch: [6][1310/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 3.2887 (3.1695) Prec@1 31.641 (32.437) Prec@5 56.641 (58.174)
Epoch: [6][1320/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 3.1435 (3.1693) Prec@1 34.766 (32.432) Prec@5 57.812 (58.167)
Epoch: [6][1330/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 3.1439 (3.1694) Prec@1 29.297 (32.428) Prec@5 58.984 (58.167)
Epoch: [6][1340/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.2063 (3.1699) Prec@1 33.594 (32.430) Prec@5 60.156 (58.160)
Epoch: [6][1350/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.2702 (3.1699) Prec@1 29.688 (32.423) Prec@5 56.250 (58.164)
Epoch: [6][1360/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 3.5507 (3.1700) Prec@1 25.781 (32.425) Prec@5 51.953 (58.159)
Epoch: [6][1370/5005] Time 0.613 (0.616) Data 0.001 (0.004) Loss 3.1051 (3.1696) Prec@1 33.984 (32.434) Prec@5 58.984 (58.169)
Epoch: [6][1380/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 3.0986 (3.1692) Prec@1 32.422 (32.438) Prec@5 59.766 (58.179)
Epoch: [6][1390/5005] Time 0.609 (0.616) Data 0.001 (0.003) Loss 3.0762 (3.1689) Prec@1 39.844 (32.451) Prec@5 61.328 (58.188)
Epoch: [6][1400/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.2358 (3.1691) Prec@1 33.984 (32.454) Prec@5 55.078 (58.188)
Epoch: [6][1410/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.1866 (3.1692) Prec@1 34.766 (32.457) Prec@5 59.375 (58.191)
Epoch: [6][1420/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.0851 (3.1683) Prec@1 33.203 (32.469) Prec@5 55.469 (58.203)
Epoch: [6][1430/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 3.1326 (3.1686) Prec@1 33.203 (32.471) Prec@5 58.594 (58.200)
Epoch: [6][1440/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.1107 (3.1688) Prec@1 33.203 (32.462) Prec@5 59.375 (58.193)
Epoch: [6][1450/5005] Time 0.614 (0.616) Data 0.001 (0.003) Loss 3.0492 (3.1684) Prec@1 37.500 (32.461) Prec@5 58.594 (58.203)
Epoch: [6][1460/5005] Time 0.615 (0.616) Data 0.001 (0.003) Loss 3.1710 (3.1689) Prec@1 33.203 (32.450) Prec@5 53.125 (58.197)
Epoch: [6][1470/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.0668 (3.1688) Prec@1 32.812 (32.449) Prec@5 60.547 (58.196)
Epoch: [6][1480/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.5928 (3.1681) Prec@1 39.062 (32.463) Prec@5 69.531 (58.213)
Epoch: [6][1490/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.2091 (3.1678) Prec@1 33.203 (32.469) Prec@5 53.516 (58.215)
Epoch: [6][1500/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.1805 (3.1679) Prec@1 33.984 (32.471) Prec@5 60.547 (58.219)
Epoch: [6][1510/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.1204 (3.1681) Prec@1 32.031 (32.464) Prec@5 58.203 (58.213)
Epoch: [6][1520/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.9839 (3.1680) Prec@1 33.594 (32.466) Prec@5 64.062 (58.211)
Epoch: [6][1530/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.1291 (3.1675) Prec@1 33.594 (32.485) Prec@5 58.203 (58.221)
Epoch: [6][1540/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.2680 (3.1670) Prec@1 33.594 (32.497) Prec@5 55.078 (58.234)
Epoch: [6][1550/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.8919 (3.1665) Prec@1 34.766 (32.509) Prec@5 65.625 (58.243)
Epoch: [6][1560/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.0544 (3.1662) Prec@1 34.766 (32.519) Prec@5 63.281 (58.250)
Epoch: [6][1570/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 3.0362 (3.1661) Prec@1 35.156 (32.518) Prec@5 62.500 (58.254)
Epoch: [6][1580/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.2985 (3.1663) Prec@1 33.594 (32.512) Prec@5 52.734 (58.252)
Epoch: [6][1590/5005] Time 0.618 (0.616) Data 0.001 (0.003) Loss 3.1106 (3.1657) Prec@1 32.031 (32.515) Prec@5 55.859 (58.259)
Epoch: [6][1600/5005] Time 0.617 (0.616) Data 0.001 (0.003) Loss 3.0377 (3.1661) Prec@1 36.328 (32.511) Prec@5 62.109 (58.256)
Epoch: [6][1610/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.2383 (3.1667) Prec@1 27.734 (32.502) Prec@5 57.812 (58.235)
Epoch: [6][1620/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.0862 (3.1667) Prec@1 31.641 (32.500) Prec@5 57.812 (58.232)
Epoch: [6][1630/5005] Time 0.612 (0.615) Data 0.001 (0.003) Loss 3.0831 (3.1664) Prec@1 33.203 (32.501) Prec@5 56.641 (58.228)
Epoch: [6][1640/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.1230 (3.1661) Prec@1 33.984 (32.504) Prec@5 60.156 (58.229)
Epoch: [6][1650/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 3.0366 (3.1655) Prec@1 34.766 (32.517) Prec@5 57.422 (58.235)
Epoch: [6][1660/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.1636 (3.1653) Prec@1 34.375 (32.524) Prec@5 58.984 (58.241)
Epoch: [6][1670/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.3694 (3.1654) Prec@1 29.297 (32.525) Prec@5 53.516 (58.239)
Epoch: [6][1680/5005] Time 0.613 (0.615) Data 0.001 (0.003) Loss 2.9412 (3.1651) Prec@1 37.500 (32.533) Prec@5 62.500 (58.248)
Epoch: [6][1690/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.1380 (3.1648) Prec@1 33.984 (32.544) Prec@5 56.250 (58.255)
Epoch: [6][1700/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.0509 (3.1646) Prec@1 33.203 (32.545) Prec@5 57.812 (58.250)
Epoch: [6][1710/5005] Time 0.622 (0.615) Data 0.000 (0.003) Loss 3.1372 (3.1643) Prec@1 30.469 (32.547) Prec@5 58.594 (58.257)
Epoch: [6][1720/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 3.5453 (3.1648) Prec@1 30.859 (32.539) Prec@5 52.734 (58.256)
Epoch: [6][1730/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.9879 (3.1644) Prec@1 33.203 (32.537) Prec@5 59.375 (58.269)
Epoch: [6][1740/5005] Time 0.607 (0.615) Data 0.001 (0.003) Loss 3.1128 (3.1644) Prec@1 31.250 (32.532) Prec@5 57.812 (58.272)
Epoch: [6][1750/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 2.9667 (3.1644) Prec@1 37.109 (32.535) Prec@5 61.328 (58.270)
Epoch: [6][1760/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.0135 (3.1641) Prec@1 35.938 (32.538) Prec@5 62.500 (58.277)
Epoch: [6][1770/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 3.0770 (3.1640) Prec@1 34.375 (32.533) Prec@5 58.203 (58.283)
Epoch: [6][1780/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 3.0442 (3.1634) Prec@1 32.812 (32.542) Prec@5 57.812 (58.288)
Epoch: [6][1790/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 3.2894 (3.1633) Prec@1 30.469 (32.550) Prec@5 58.594 (58.291)
Epoch: [6][1800/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 3.0469 (3.1634) Prec@1 33.984 (32.546) Prec@5 60.938 (58.291)
Epoch: [6][1810/5005] Time 0.608 (0.615) Data 0.001 (0.003) Loss 3.1679 (3.1631) Prec@1 33.203 (32.550) Prec@5 55.859 (58.294)
Epoch: [6][1820/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.9807 (3.1632) Prec@1 33.594 (32.548) Prec@5 57.422 (58.293)
Epoch: [6][1830/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 3.1569 (3.1631) Prec@1 39.062 (32.551) Prec@5 60.156 (58.294)
Epoch: [6][1840/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.2157 (3.1630) Prec@1 32.422 (32.551) Prec@5 54.688 (58.289)
Epoch: [6][1850/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.3816 (3.1632) Prec@1 30.078 (32.551) Prec@5 55.078 (58.286)
Epoch: [6][1860/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.2690 (3.1631) Prec@1 30.469 (32.551) Prec@5 56.641 (58.285)
Epoch: [6][1870/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.1030 (3.1629) Prec@1 33.203 (32.551) Prec@5 60.156 (58.287)
Epoch: [6][1880/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 3.1544 (3.1631) Prec@1 35.156 (32.549) Prec@5 57.422 (58.287)
Epoch: [6][1890/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.9938 (3.1630) Prec@1 38.281 (32.548) Prec@5 60.547 (58.287)
Epoch: [6][1900/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 3.1903 (3.1630) Prec@1 30.078 (32.545) Prec@5 56.641 (58.288)
Epoch: [6][1910/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 3.0029 (3.1627) Prec@1 35.547 (32.546) Prec@5 61.328 (58.291)
Epoch: [6][1920/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.1512 (3.1628) Prec@1 37.109 (32.549) Prec@5 58.984 (58.288)
Epoch: [6][1930/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 2.9582 (3.1629) Prec@1 35.156 (32.550) Prec@5 64.453 (58.283)
Epoch: [6][1940/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 3.3084 (3.1627) Prec@1 28.125 (32.553) Prec@5 55.469 (58.284)
Epoch: [6][1950/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.2339 (3.1626) Prec@1 28.516 (32.553) Prec@5 58.203 (58.283)
Epoch: [6][1960/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.1295 (3.1623) Prec@1 35.547 (32.557) Prec@5 60.156 (58.291)
Epoch: [6][1970/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 3.3578 (3.1623) Prec@1 27.344 (32.552) Prec@5 55.469 (58.291)
Epoch: [6][1980/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 3.2955 (3.1623) Prec@1 31.250 (32.552) Prec@5 56.641 (58.293)
Epoch: [6][1990/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.8839 (3.1620) Prec@1 37.109 (32.558) Prec@5 62.500 (58.298)
Epoch: [6][2000/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.3299 (3.1616) Prec@1 32.031 (32.565) Prec@5 53.125 (58.300)
Epoch: [6][2010/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.3118 (3.1619) Prec@1 27.344 (32.564) Prec@5 51.953 (58.297)
Epoch: [6][2020/5005] Time 0.618 (0.615) Data 0.001 (0.003) Loss 3.1050 (3.1619) Prec@1 28.906 (32.564) Prec@5 59.766 (58.300)
Epoch: [6][2030/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.2764 (3.1619) Prec@1 35.156 (32.564) Prec@5 56.250 (58.302)
Epoch: [6][2040/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 3.2004 (3.1618) Prec@1 30.859 (32.566) Prec@5 57.422 (58.305)
Epoch: [6][2050/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1917 (3.1612) Prec@1 30.469 (32.570) Prec@5 54.688 (58.313)
Epoch: [6][2060/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.3727 (3.1609) Prec@1 31.250 (32.578) Prec@5 54.297 (58.320)
Epoch: [6][2070/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.0475 (3.1606) Prec@1 34.766 (32.587) Prec@5 61.719 (58.328)
Epoch: [6][2080/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.0613 (3.1608) Prec@1 33.984 (32.585) Prec@5 60.938 (58.327)
Epoch: [6][2090/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 2.9143 (3.1608) Prec@1 31.250 (32.581) Prec@5 62.500 (58.326)
Epoch: [6][2100/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.4340 (3.1603) Prec@1 30.469 (32.591) Prec@5 50.781 (58.332)
Epoch: [6][2110/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 3.2286 (3.1602) Prec@1 30.469 (32.592) Prec@5 56.250 (58.337)
Epoch: [6][2120/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2122 (3.1595) Prec@1 33.984 (32.600) Prec@5 56.250 (58.349)
Epoch: [6][2130/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.2216 (3.1593) Prec@1 32.422 (32.606) Prec@5 57.031 (58.349)
Epoch: [6][2140/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.3371 (3.1596) Prec@1 30.469 (32.603) Prec@5 53.906 (58.338)
Epoch: [6][2150/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.0283 (3.1591) Prec@1 34.375 (32.608) Prec@5 60.547 (58.347)
Epoch: [6][2160/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.2221 (3.1584) Prec@1 33.984 (32.621) Prec@5 57.422 (58.360)
Epoch: [6][2170/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.3651 (3.1584) Prec@1 32.422 (32.628) Prec@5 55.859 (58.359)
Epoch: [6][2180/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.1003 (3.1582) Prec@1 33.984 (32.634) Prec@5 58.203 (58.359)
Epoch: [6][2190/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.3256 (3.1581) Prec@1 32.422 (32.642) Prec@5 55.469 (58.361)
Epoch: [6][2200/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9272 (3.1580) Prec@1 37.891 (32.645) Prec@5 61.719 (58.362)
Epoch: [6][2210/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.1095 (3.1579) Prec@1 36.328 (32.650) Prec@5 58.594 (58.365)
Epoch: [6][2220/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2369 (3.1577) Prec@1 28.906 (32.652) Prec@5 60.938 (58.371)
Epoch: [6][2230/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.0328 (3.1575) Prec@1 34.375 (32.652) Prec@5 59.766 (58.374)
Epoch: [6][2240/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 3.2145 (3.1574) Prec@1 32.812 (32.655) Prec@5 54.688 (58.373)
Epoch: [6][2250/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8991 (3.1570) Prec@1 39.062 (32.662) Prec@5 60.938 (58.379)
Epoch: [6][2260/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.1125 (3.1569) Prec@1 32.422 (32.661) Prec@5 60.547 (58.386)
Epoch: [6][2270/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.0191 (3.1568) Prec@1 37.500 (32.663) Prec@5 60.938 (58.385)
Epoch: [6][2280/5005] Time 0.602 (0.615) Data 0.000 (0.002) Loss 3.3174 (3.1567) Prec@1 31.250 (32.670) Prec@5 54.688 (58.390)
Epoch: [6][2290/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.1037 (3.1563) Prec@1 37.109 (32.676) Prec@5 61.719 (58.397)
Epoch: [6][2300/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.2308 (3.1561) Prec@1 32.031 (32.677) Prec@5 60.938 (58.396)
Epoch: [6][2310/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 3.3520 (3.1560) Prec@1 33.594 (32.679) Prec@5 55.859 (58.400)
Epoch: [6][2320/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.0315 (3.1559) Prec@1 35.938 (32.680) Prec@5 58.984 (58.400)
Epoch: [6][2330/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.0649 (3.1559) Prec@1 37.109 (32.685) Prec@5 57.422 (58.402)
Epoch: [6][2340/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.1915 (3.1560) Prec@1 30.859 (32.686) Prec@5 58.594 (58.403)
Epoch: [6][2350/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1494 (3.1561) Prec@1 32.422 (32.683) Prec@5 59.375 (58.405)
Epoch: [6][2360/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.0204 (3.1558) Prec@1 36.328 (32.686) Prec@5 59.375 (58.410)
Epoch: [6][2370/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.2879 (3.1559) Prec@1 29.688 (32.684) Prec@5 54.688 (58.408)
Epoch: [6][2380/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.0178 (3.1557) Prec@1 38.672 (32.688) Prec@5 61.719 (58.410)
Epoch: [6][2390/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.0353 (3.1555) Prec@1 31.641 (32.689) Prec@5 58.984 (58.416)
Epoch: [6][2400/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 3.0067 (3.1552) Prec@1 35.938 (32.698) Prec@5 60.938 (58.418)
Epoch: [6][2410/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.2604 (3.1549) Prec@1 31.641 (32.701) Prec@5 55.859 (58.420)
Epoch: [6][2420/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.3489 (3.1546) Prec@1 29.688 (32.707) Prec@5 50.781 (58.426)
Epoch: [6][2430/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1256 (3.1543) Prec@1 34.375 (32.713) Prec@5 58.203 (58.434)
Epoch: [6][2440/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.9574 (3.1538) Prec@1 37.891 (32.723) Prec@5 60.156 (58.441)
Epoch: [6][2450/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1922 (3.1537) Prec@1 29.688 (32.723) Prec@5 57.031 (58.439)
Epoch: [6][2460/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.0405 (3.1534) Prec@1 37.500 (32.726) Prec@5 59.766 (58.442)
Epoch: [6][2470/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9294 (3.1534) Prec@1 37.891 (32.725) Prec@5 61.328 (58.445)
Epoch: [6][2480/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.2043 (3.1530) Prec@1 33.594 (32.727) Prec@5 58.984 (58.453)
Epoch: [6][2490/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.9836 (3.1526) Prec@1 32.031 (32.731) Prec@5 60.547 (58.457)
Epoch: [6][2500/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.9254 (3.1524) Prec@1 39.453 (32.740) Prec@5 62.500 (58.462)
Epoch: [6][2510/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1026 (3.1520) Prec@1 34.375 (32.751) Prec@5 56.641 (58.467)
Epoch: [6][2520/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.2600 (3.1523) Prec@1 33.203 (32.749) Prec@5 55.469 (58.461)
Epoch: [6][2530/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.2026 (3.1520) Prec@1 33.984 (32.751) Prec@5 56.641 (58.468)
Epoch: [6][2540/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.0239 (3.1522) Prec@1 33.984 (32.750) Prec@5 60.938 (58.465)
Epoch: [6][2550/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8708 (3.1523) Prec@1 40.625 (32.750) Prec@5 65.625 (58.461)
Epoch: [6][2560/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.9515 (3.1522) Prec@1 31.250 (32.753) Prec@5 61.328 (58.459)
Epoch: [6][2570/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.0124 (3.1523) Prec@1 32.031 (32.750) Prec@5 61.328 (58.454)
Epoch: [6][2580/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1617 (3.1523) Prec@1 34.766 (32.749) Prec@5 55.469 (58.454)
Epoch: [6][2590/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8758 (3.1520) Prec@1 35.547 (32.752) Prec@5 66.016 (58.460)
Epoch: [6][2600/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.3069 (3.1518) Prec@1 33.594 (32.758) Prec@5 54.297 (58.463)
Epoch: [6][2610/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9390 (3.1516) Prec@1 34.766 (32.761) Prec@5 62.500 (58.466)
Epoch: [6][2620/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2153 (3.1515) Prec@1 32.422 (32.765) Prec@5 56.250 (58.470)
Epoch: [6][2630/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.1462 (3.1511) Prec@1 33.203 (32.772) Prec@5 59.375 (58.476)
Epoch: [6][2640/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.2331 (3.1509) Prec@1 34.766 (32.774) Prec@5 55.859 (58.480)
Epoch: [6][2650/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.0908 (3.1507) Prec@1 37.500 (32.778) Prec@5 57.812 (58.479)
Epoch: [6][2660/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 2.8815 (3.1507) Prec@1 32.422 (32.777) Prec@5 64.062 (58.482)
Epoch: [6][2670/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.0587 (3.1505) Prec@1 31.250 (32.775) Prec@5 62.500 (58.486)
Epoch: [6][2680/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1577 (3.1505) Prec@1 33.203 (32.774) Prec@5 57.422 (58.484)
Epoch: [6][2690/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1612 (3.1503) Prec@1 31.641 (32.776) Prec@5 58.984 (58.491)
Epoch: [6][2700/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.1138 (3.1502) Prec@1 28.516 (32.780) Prec@5 55.859 (58.491)
Epoch: [6][2710/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 3.1192 (3.1501) Prec@1 33.984 (32.780) Prec@5 58.984 (58.491)
Epoch: [6][2720/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.0406 (3.1500) Prec@1 33.594 (32.781) Prec@5 60.938 (58.495)
Epoch: [6][2730/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1026 (3.1499) Prec@1 33.984 (32.783) Prec@5 57.422 (58.494)
Epoch: [6][2740/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8760 (3.1497) Prec@1 35.938 (32.787) Prec@5 64.062 (58.498)
Epoch: [6][2750/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.0786 (3.1492) Prec@1 28.906 (32.790) Prec@5 62.891 (58.509)
Epoch: [6][2760/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.0639 (3.1490) Prec@1 34.766 (32.795) Prec@5 58.203 (58.509)
Epoch: [6][2770/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.9377 (3.1487) Prec@1 36.328 (32.802) Prec@5 63.672 (58.514)
Epoch: [6][2780/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.0417 (3.1483) Prec@1 37.500 (32.810) Prec@5 59.766 (58.525)
Epoch: [6][2790/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.4568 (3.1479) Prec@1 29.297 (32.817) Prec@5 52.734 (58.530)
Epoch: [6][2800/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.2654 (3.1479) Prec@1 30.859 (32.816) Prec@5 53.516 (58.524)
Epoch: [6][2810/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9542 (3.1473) Prec@1 37.109 (32.825) Prec@5 62.109 (58.535)
Epoch: [6][2820/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.2995 (3.1471) Prec@1 28.125 (32.829) Prec@5 55.078 (58.538)
Epoch: [6][2830/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.0901 (3.1473) Prec@1 35.156 (32.827) Prec@5 57.812 (58.535)
Epoch: [6][2840/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 3.1000 (3.1472) Prec@1 33.984 (32.830) Prec@5 57.422 (58.541)
Epoch: [6][2850/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.8923 (3.1472) Prec@1 36.328 (32.830) Prec@5 62.109 (58.541)
Epoch: [6][2860/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.1776 (3.1473) Prec@1 31.250 (32.826) Prec@5 58.984 (58.541)
Epoch: [6][2870/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.2284 (3.1474) Prec@1 34.766 (32.826) Prec@5 56.641 (58.542)
Epoch: [6][2880/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.0324 (3.1473) Prec@1 35.547 (32.829) Prec@5 62.109 (58.542)
Epoch: [6][2890/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.7828 (3.1472) Prec@1 36.328 (32.833) Prec@5 63.281 (58.542)
Epoch: [6][2900/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.3309 (3.1470) Prec@1 32.031 (32.836) Prec@5 58.203 (58.545)
Epoch: [6][2910/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.1845 (3.1470) Prec@1 30.078 (32.834) Prec@5 56.250 (58.544)
Epoch: [6][2920/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.9443 (3.1469) Prec@1 35.156 (32.836) Prec@5 58.594 (58.545)
Epoch: [6][2930/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.0724 (3.1469) Prec@1 37.500 (32.838) Prec@5 60.938 (58.547)
Epoch: [6][2940/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.0157 (3.1463) Prec@1 33.594 (32.846) Prec@5 61.328 (58.559)
Epoch: [6][2950/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.9820 (3.1459) Prec@1 34.766 (32.855) Prec@5 60.156 (58.565)
Epoch: [6][2960/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9331 (3.1457) Prec@1 37.500 (32.860) Prec@5 64.453 (58.571)
Epoch: [6][2970/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.3393 (3.1454) Prec@1 32.812 (32.865) Prec@5 56.250 (58.575)
Epoch: [6][2980/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.2794 (3.1455) Prec@1 32.422 (32.870) Prec@5 59.375 (58.579)
Epoch: [6][2990/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.1743 (3.1453) Prec@1 32.422 (32.873) Prec@5 58.203 (58.581)
Epoch: [6][3000/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 3.0534 (3.1452) Prec@1 32.812 (32.877) Prec@5 61.719 (58.582)
Epoch: [6][3010/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.9485 (3.1448) Prec@1 34.766 (32.881) Prec@5 58.203 (58.582)
Epoch: [6][3020/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.1096 (3.1447) Prec@1 32.422 (32.885) Prec@5 56.641 (58.584)
Epoch: [6][3030/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.0752 (3.1447) Prec@1 33.984 (32.882) Prec@5 60.938 (58.585)
Epoch: [6][3040/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.2750 (3.1446) Prec@1 36.328 (32.886) Prec@5 57.422 (58.583)
Epoch: [6][3050/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.9047 (3.1443) Prec@1 33.984 (32.891) Prec@5 64.844 (58.592)
Epoch: [6][3060/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.0574 (3.1444) Prec@1 31.250 (32.887) Prec@5 58.203 (58.592)
Epoch: [6][3070/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.1317 (3.1438) Prec@1 32.812 (32.901) Prec@5 62.109 (58.605)
Epoch: [6][3080/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.8973 (3.1435) Prec@1 30.078 (32.903) Prec@5 64.453 (58.610)
Epoch: [6][3090/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.3960 (3.1433) Prec@1 31.641 (32.903) Prec@5 54.688 (58.612)
Epoch: [6][3100/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.8822 (3.1433) Prec@1 39.844 (32.908) Prec@5 60.938 (58.617)
Epoch: [6][3110/5005] Time 0.621 (0.614) Data 0.001 (0.002) Loss 2.8948 (3.1429) Prec@1 35.938 (32.916) Prec@5 62.109 (58.621)
Epoch: [6][3120/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.1796 (3.1428) Prec@1 32.422 (32.921) Prec@5 57.812 (58.623)
Epoch: [6][3130/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.0574 (3.1426) Prec@1 34.766 (32.922) Prec@5 58.984 (58.625)
Epoch: [6][3140/5005] Time 0.608 (0.614) Data 0.001 (0.002) Loss 3.1540 (3.1423) Prec@1 31.250 (32.927) Prec@5 60.938 (58.630)
Epoch: [6][3150/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 3.2675 (3.1423) Prec@1 32.422 (32.930) Prec@5 53.906 (58.632)
Epoch: [6][3160/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.9096 (3.1420) Prec@1 37.500 (32.936) Prec@5 62.891 (58.638)
Epoch: [6][3170/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.9845 (3.1418) Prec@1 38.281 (32.941) Prec@5 61.328 (58.640)
Epoch: [6][3180/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.2428 (3.1417) Prec@1 33.594 (32.941) Prec@5 57.422 (58.643)
Epoch: [6][3190/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.0975 (3.1414) Prec@1 33.594 (32.945) Prec@5 60.547 (58.649)
Epoch: [6][3200/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.2038 (3.1412) Prec@1 31.641 (32.946) Prec@5 58.984 (58.651)
Epoch: [6][3210/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.0573 (3.1413) Prec@1 35.547 (32.949) Prec@5 63.281 (58.652)
Epoch: [6][3220/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.2894 (3.1412) Prec@1 30.078 (32.952) Prec@5 55.469 (58.655)
Epoch: [6][3230/5005] Time 0.609 (0.614) Data 0.001 (0.002) Loss 3.0783 (3.1409) Prec@1 32.031 (32.955) Prec@5 58.594 (58.662)
Epoch: [6][3240/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.2046 (3.1407) Prec@1 30.469 (32.958) Prec@5 54.297 (58.665)
Epoch: [6][3250/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.0785 (3.1406) Prec@1 33.203 (32.956) Prec@5 58.594 (58.667)
Epoch: [6][3260/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 3.1008 (3.1403) Prec@1 35.156 (32.958) Prec@5 60.938 (58.673)
Epoch: [6][3270/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.8460 (3.1400) Prec@1 38.672 (32.966) Prec@5 65.234 (58.680)
Epoch: [6][3280/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.2426 (3.1396) Prec@1 34.766 (32.973) Prec@5 57.812 (58.686)
Epoch: [6][3290/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.1125 (3.1396) Prec@1 32.031 (32.975) Prec@5 58.203 (58.683)
Epoch: [6][3300/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.2979 (3.1395) Prec@1 32.422 (32.977) Prec@5 57.031 (58.684)
Epoch: [6][3310/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.1509 (3.1391) Prec@1 33.984 (32.981) Prec@5 58.984 (58.692)
Epoch: [6][3320/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.1489 (3.1388) Prec@1 32.812 (32.987) Prec@5 57.031 (58.699)
Epoch: [6][3330/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.2282 (3.1389) Prec@1 31.250 (32.982) Prec@5 57.812 (58.701)
Epoch: [6][3340/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.2637 (3.1388) Prec@1 28.125 (32.979) Prec@5 53.906 (58.701)
Epoch: [6][3350/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.1803 (3.1388) Prec@1 33.594 (32.981) Prec@5 57.031 (58.698)
Epoch: [6][3360/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.1595 (3.1386) Prec@1 32.031 (32.985) Prec@5 57.812 (58.702)
Epoch: [6][3370/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.2641 (3.1386) Prec@1 28.125 (32.984) Prec@5 56.250 (58.702)
Epoch: [6][3380/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 2.9905 (3.1385) Prec@1 35.547 (32.985) Prec@5 61.719 (58.707)
Epoch: [6][3390/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.4281 (3.1384) Prec@1 28.516 (32.989) Prec@5 54.688 (58.709)
Epoch: [6][3400/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.4069 (3.1385) Prec@1 32.422 (32.987) Prec@5 51.953 (58.705)
Epoch: [6][3410/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 3.2385 (3.1382) Prec@1 31.250 (32.991) Prec@5 56.250 (58.710)
Epoch: [6][3420/5005] Time 0.623 (0.614) Data 0.000 (0.002) Loss 2.9651 (3.1380) Prec@1 36.328 (32.998) Prec@5 58.203 (58.714)
Epoch: [6][3430/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.0026 (3.1380) Prec@1 36.328 (33.000) Prec@5 58.594 (58.714)
Epoch: [6][3440/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 3.0215 (3.1377) Prec@1 37.891 (33.005) Prec@5 63.672 (58.721)
Epoch: [6][3450/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8169 (3.1373) Prec@1 39.844 (33.014) Prec@5 66.016 (58.730)
Epoch: [6][3460/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.1943 (3.1372) Prec@1 33.594 (33.017) Prec@5 54.297 (58.727)
Epoch: [6][3470/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.8523 (3.1369) Prec@1 34.766 (33.023) Prec@5 62.891 (58.734)
Epoch: [6][3480/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.9143 (3.1367) Prec@1 33.984 (33.026) Prec@5 64.844 (58.739)
Epoch: [6][3490/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 3.0255 (3.1363) Prec@1 35.156 (33.029) Prec@5 61.328 (58.745)
Epoch: [6][3500/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8695 (3.1360) Prec@1 36.719 (33.035) Prec@5 62.891 (58.751)
Epoch: [6][3510/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8309 (3.1359) Prec@1 40.234 (33.037) Prec@5 64.844 (58.755)
Epoch: [6][3520/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.9522 (3.1357) Prec@1 33.984 (33.041) Prec@5 62.891 (58.761)
Epoch: [6][3530/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.1930 (3.1357) Prec@1 33.594 (33.042) Prec@5 59.375 (58.762)
Epoch: [6][3540/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.8775 (3.1354) Prec@1 33.203 (33.049) Prec@5 62.109 (58.769)
Epoch: [6][3550/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.0246 (3.1354) Prec@1 33.984 (33.047) Prec@5 60.938 (58.768)
Epoch: [6][3560/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.9493 (3.1351) Prec@1 35.938 (33.053) Prec@5 59.375 (58.771)
Epoch: [6][3570/5005] Time 0.620 (0.614) Data 0.001 (0.002) Loss 3.1546 (3.1348) Prec@1 33.203 (33.058) Prec@5 58.203 (58.775)
Epoch: [6][3580/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8659 (3.1343) Prec@1 34.375 (33.066) Prec@5 64.844 (58.783)
Epoch: [6][3590/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.8352 (3.1340) Prec@1 37.109 (33.067) Prec@5 62.500 (58.787)
Epoch: [6][3600/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.8497 (3.1338) Prec@1 39.062 (33.073) Prec@5 64.453 (58.790)
Epoch: [6][3610/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 3.0453 (3.1335) Prec@1 32.422 (33.077) Prec@5 60.156 (58.794)
Epoch: [6][3620/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.9812 (3.1334) Prec@1 36.719 (33.079) Prec@5 60.938 (58.797)
Epoch: [6][3630/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.2401 (3.1332) Prec@1 31.250 (33.081) Prec@5 59.375 (58.802)
Epoch: [6][3640/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.0547 (3.1330) Prec@1 37.891 (33.083) Prec@5 58.594 (58.806)
Epoch: [6][3650/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.9291 (3.1328) Prec@1 34.375 (33.088) Prec@5 61.328 (58.809)
Epoch: [6][3660/5005] Time 0.615 (0.614) Data 0.001 (0.002) Loss 3.0738 (3.1325) Prec@1 32.812 (33.090) Prec@5 57.031 (58.815)
Epoch: [6][3670/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.1633 (3.1325) Prec@1 35.547 (33.090) Prec@5 61.328 (58.814)
Epoch: [6][3680/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 3.0309 (3.1323) Prec@1 35.938 (33.093) Prec@5 60.547 (58.818)
Epoch: [6][3690/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.1184 (3.1322) Prec@1 30.078 (33.094) Prec@5 58.594 (58.823)
Epoch: [6][3700/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 3.1279 (3.1321) Prec@1 33.594 (33.092) Prec@5 56.641 (58.824)
Epoch: [6][3710/5005] Time 0.607 (0.614) Data 0.001 (0.002) Loss 3.0919 (3.1317) Prec@1 31.641 (33.099) Prec@5 60.156 (58.832)
Epoch: [6][3720/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9743 (3.1315) Prec@1 36.328 (33.105) Prec@5 61.328 (58.836)
Epoch: [6][3730/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.0984 (3.1312) Prec@1 31.641 (33.110) Prec@5 62.109 (58.841)
Epoch: [6][3740/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.2096 (3.1309) Prec@1 32.812 (33.116) Prec@5 57.031 (58.848)
Epoch: [6][3750/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.1125 (3.1308) Prec@1 32.031 (33.117) Prec@5 61.328 (58.850)
Epoch: [6][3760/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.9404 (3.1307) Prec@1 37.891 (33.115) Prec@5 62.500 (58.851)
Epoch: [6][3770/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.8432 (3.1305) Prec@1 37.109 (33.121) Prec@5 64.844 (58.855)
Epoch: [6][3780/5005] Time 0.601 (0.614) Data 0.000 (0.002) Loss 2.9782 (3.1303) Prec@1 31.641 (33.120) Prec@5 61.328 (58.856)
Epoch: [6][3790/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.1664 (3.1299) Prec@1 29.688 (33.126) Prec@5 58.594 (58.864)
Epoch: [6][3800/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.9711 (3.1298) Prec@1 40.234 (33.126) Prec@5 62.109 (58.866)
Epoch: [6][3810/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.0899 (3.1296) Prec@1 37.500 (33.131) Prec@5 58.203 (58.869)
Epoch: [6][3820/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.2221 (3.1296) Prec@1 33.594 (33.131) Prec@5 55.078 (58.870)
Epoch: [6][3830/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 3.2490 (3.1294) Prec@1 33.203 (33.133) Prec@5 57.812 (58.873)
Epoch: [6][3840/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 3.0725 (3.1293) Prec@1 33.594 (33.136) Prec@5 57.812 (58.874)
Epoch: [6][3850/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9928 (3.1290) Prec@1 35.547 (33.141) Prec@5 59.375 (58.879)
Epoch: [6][3860/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.1385 (3.1288) Prec@1 32.812 (33.142) Prec@5 57.031 (58.882)
Epoch: [6][3870/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.0494 (3.1286) Prec@1 36.328 (33.150) Prec@5 58.984 (58.885)
Epoch: [6][3880/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.0504 (3.1285) Prec@1 33.984 (33.152) Prec@5 60.156 (58.883)
Epoch: [6][3890/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.3526 (3.1285) Prec@1 33.594 (33.153) Prec@5 56.641 (58.884)
Epoch: [6][3900/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 3.3009 (3.1284) Prec@1 31.250 (33.159) Prec@5 59.375 (58.888)
Epoch: [6][3910/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.0862 (3.1281) Prec@1 35.156 (33.165) Prec@5 59.766 (58.891)
Epoch: [6][3920/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 2.8410 (3.1278) Prec@1 40.625 (33.169) Prec@5 63.281 (58.897)
Epoch: [6][3930/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.9396 (3.1276) Prec@1 37.109 (33.174) Prec@5 63.672 (58.900)
Epoch: [6][3940/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.9568 (3.1273) Prec@1 39.844 (33.177) Prec@5 58.594 (58.906)
Epoch: [6][3950/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.9010 (3.1272) Prec@1 37.109 (33.181) Prec@5 62.109 (58.908)
Epoch: [6][3960/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 3.1738 (3.1271) Prec@1 32.812 (33.184) Prec@5 59.375 (58.908)
Epoch: [6][3970/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.0653 (3.1269) Prec@1 35.156 (33.188) Prec@5 60.547 (58.910)
Epoch: [6][3980/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.1568 (3.1268) Prec@1 28.516 (33.187) Prec@5 59.375 (58.912)
Epoch: [6][3990/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.9118 (3.1266) Prec@1 35.938 (33.190) Prec@5 60.156 (58.917)
Epoch: [6][4000/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.2959 (3.1266) Prec@1 30.469 (33.190) Prec@5 53.125 (58.916)
Epoch: [6][4010/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.8521 (3.1265) Prec@1 42.578 (33.191) Prec@5 64.453 (58.916)
Epoch: [6][4020/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.0517 (3.1262) Prec@1 32.422 (33.195) Prec@5 62.891 (58.921)
Epoch: [6][4030/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.9063 (3.1260) Prec@1 35.547 (33.200) Prec@5 62.891 (58.925)
Epoch: [6][4040/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.8873 (3.1257) Prec@1 37.109 (33.204) Prec@5 62.500 (58.929)
Epoch: [6][4050/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.1894 (3.1257) Prec@1 34.375 (33.208) Prec@5 60.156 (58.930)
Epoch: [6][4060/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.9204 (3.1256) Prec@1 39.453 (33.209) Prec@5 61.719 (58.934)
Epoch: [6][4070/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 2.9956 (3.1252) Prec@1 35.156 (33.216) Prec@5 64.062 (58.941)
Epoch: [6][4080/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0109 (3.1250) Prec@1 35.547 (33.220) Prec@5 62.500 (58.943)
Epoch: [6][4090/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.1106 (3.1248) Prec@1 33.203 (33.224) Prec@5 60.938 (58.948)
Epoch: [6][4100/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.9110 (3.1244) Prec@1 36.719 (33.231) Prec@5 60.938 (58.954)
Epoch: [6][4110/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6341 (3.1239) Prec@1 40.234 (33.237) Prec@5 67.188 (58.962)
Epoch: [6][4120/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.1175 (3.1237) Prec@1 34.766 (33.243) Prec@5 57.812 (58.966)
Epoch: [6][4130/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8067 (3.1235) Prec@1 37.109 (33.244) Prec@5 65.625 (58.969)
Epoch: [6][4140/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0134 (3.1233) Prec@1 29.297 (33.244) Prec@5 58.203 (58.972)
Epoch: [6][4150/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.9364 (3.1232) Prec@1 35.938 (33.245) Prec@5 62.109 (58.973)
Epoch: [6][4160/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.9479 (3.1229) Prec@1 35.938 (33.250) Prec@5 61.719 (58.977)
Epoch: [6][4170/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.9831 (3.1227) Prec@1 33.984 (33.255) Prec@5 60.547 (58.983)
Epoch: [6][4180/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.9058 (3.1225) Prec@1 35.547 (33.258) Prec@5 61.328 (58.986)
Epoch: [6][4190/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 3.1862 (3.1223) Prec@1 36.719 (33.259) Prec@5 61.719 (58.991)
Epoch: [6][4200/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.9638 (3.1222) Prec@1 37.109 (33.261) Prec@5 60.547 (58.993)
Epoch: [6][4210/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.1841 (3.1220) Prec@1 36.328 (33.266) Prec@5 59.766 (58.995)
Epoch: [6][4220/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 3.1877 (3.1218) Prec@1 30.078 (33.272) Prec@5 58.984 (58.998)
Epoch: [6][4230/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.2404 (3.1218) Prec@1 34.375 (33.273) Prec@5 55.078 (59.001)
Epoch: [6][4240/5005] Time 0.608 (0.614) Data 0.001 (0.001) Loss 2.9951 (3.1217) Prec@1 35.938 (33.277) Prec@5 58.594 (59.002)
Epoch: [6][4250/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.9304 (3.1215) Prec@1 35.547 (33.280) Prec@5 65.234 (59.008)
Epoch: [6][4260/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.0893 (3.1213) Prec@1 32.422 (33.285) Prec@5 59.375 (59.012)
Epoch: [6][4270/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.1530 (3.1211) Prec@1 32.031 (33.290) Prec@5 55.859 (59.013)
Epoch: [6][4280/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.2509 (3.1210) Prec@1 33.203 (33.292) Prec@5 58.984 (59.015)
Epoch: [6][4290/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.0065 (3.1207) Prec@1 35.156 (33.297) Prec@5 59.766 (59.020)
Epoch: [6][4300/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8190 (3.1207) Prec@1 36.719 (33.296) Prec@5 62.891 (59.023)
Epoch: [6][4310/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.1764 (3.1205) Prec@1 34.766 (33.300) Prec@5 60.938 (59.026)
Epoch: [6][4320/5005] Time 0.611 (0.614) Data 0.001 (0.001) Loss 3.0376 (3.1202) Prec@1 32.422 (33.305) Prec@5 63.281 (59.033)
Epoch: [6][4330/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.2454 (3.1201) Prec@1 32.812 (33.306) Prec@5 58.594 (59.037)
Epoch: [6][4340/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 3.1721 (3.1202) Prec@1 33.594 (33.308) Prec@5 56.250 (59.037)
Epoch: [6][4350/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.0450 (3.1199) Prec@1 32.812 (33.310) Prec@5 57.812 (59.039)
Epoch: [6][4360/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 3.1072 (3.1199) Prec@1 30.859 (33.312) Prec@5 58.984 (59.041)
Epoch: [6][4370/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 3.2362 (3.1198) Prec@1 30.859 (33.312) Prec@5 56.250 (59.041)
Epoch: [6][4380/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0847 (3.1198) Prec@1 35.547 (33.311) Prec@5 60.156 (59.040)
Epoch: [6][4390/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9758 (3.1198) Prec@1 39.062 (33.315) Prec@5 63.672 (59.041)
Epoch: [6][4400/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.7466 (3.1194) Prec@1 43.359 (33.323) Prec@5 63.281 (59.047)
Epoch: [6][4410/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.0407 (3.1192) Prec@1 39.453 (33.324) Prec@5 60.547 (59.051)
Epoch: [6][4420/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.0535 (3.1192) Prec@1 34.766 (33.323) Prec@5 62.891 (59.050)
Epoch: [6][4430/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.3237 (3.1193) Prec@1 32.422 (33.323) Prec@5 53.125 (59.047)
Epoch: [6][4440/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8924 (3.1193) Prec@1 42.188 (33.325) Prec@5 64.453 (59.046)
Epoch: [6][4450/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7670 (3.1192) Prec@1 40.625 (33.329) Prec@5 65.625 (59.054)
Epoch: [6][4460/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.0433 (3.1190) Prec@1 36.328 (33.332) Prec@5 62.109 (59.059)
Epoch: [6][4470/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.4545 (3.1190) Prec@1 29.297 (33.331) Prec@5 50.000 (59.058)
Epoch: [6][4480/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.0521 (3.1188) Prec@1 35.938 (33.332) Prec@5 59.766 (59.061)
Epoch: [6][4490/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.0191 (3.1185) Prec@1 35.547 (33.339) Prec@5 65.625 (59.070)
Epoch: [6][4500/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.0400 (3.1183) Prec@1 35.547 (33.343) Prec@5 65.234 (59.075)
Epoch: [6][4510/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.8312 (3.1179) Prec@1 35.547 (33.348) Prec@5 65.625 (59.083)
Epoch: [6][4520/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.2598 (3.1177) Prec@1 32.422 (33.349) Prec@5 55.469 (59.085)
Epoch: [6][4530/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.0159 (3.1177) Prec@1 35.938 (33.348) Prec@5 62.109 (59.087)
Epoch: [6][4540/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.0151 (3.1175) Prec@1 37.109 (33.351) Prec@5 61.328 (59.093)
Epoch: [6][4550/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0272 (3.1172) Prec@1 35.938 (33.355) Prec@5 61.719 (59.097)
Epoch: [6][4560/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.0510 (3.1171) Prec@1 36.328 (33.355) Prec@5 62.109 (59.097)
Epoch: [6][4570/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.9747 (3.1169) Prec@1 32.812 (33.358) Prec@5 61.328 (59.101)
Epoch: [6][4580/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.1788 (3.1167) Prec@1 35.938 (33.362) Prec@5 57.422 (59.105)
Epoch: [6][4590/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.8106 (3.1164) Prec@1 35.156 (33.366) Prec@5 65.625 (59.110)
Epoch: [6][4600/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.8065 (3.1164) Prec@1 41.406 (33.369) Prec@5 61.719 (59.110)
Epoch: [6][4610/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 3.0844 (3.1162) Prec@1 35.156 (33.371) Prec@5 56.641 (59.110)
Epoch: [6][4620/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.9608 (3.1159) Prec@1 38.281 (33.375) Prec@5 60.547 (59.113)
Epoch: [6][4630/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.9023 (3.1154) Prec@1 34.766 (33.384) Prec@5 63.281 (59.123)
Epoch: [6][4640/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0555 (3.1153) Prec@1 36.719 (33.388) Prec@5 62.500 (59.123)
Epoch: [6][4650/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.7914 (3.1151) Prec@1 37.500 (33.391) Prec@5 67.578 (59.129)
Epoch: [6][4660/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.0322 (3.1148) Prec@1 35.938 (33.393) Prec@5 61.719 (59.136)
Epoch: [6][4670/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1596 (3.1146) Prec@1 34.766 (33.397) Prec@5 60.938 (59.141)
Epoch: [6][4680/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.0080 (3.1144) Prec@1 37.500 (33.400) Prec@5 61.328 (59.144)
Epoch: [6][4690/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.0737 (3.1142) Prec@1 38.281 (33.404) Prec@5 61.328 (59.151)
Epoch: [6][4700/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.1959 (3.1141) Prec@1 35.547 (33.408) Prec@5 56.641 (59.149)
Epoch: [6][4710/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 3.0404 (3.1140) Prec@1 36.719 (33.413) Prec@5 62.109 (59.154)
Epoch: [6][4720/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 3.0339 (3.1138) Prec@1 33.203 (33.416) Prec@5 60.938 (59.155)
Epoch: [6][4730/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8667 (3.1135) Prec@1 36.328 (33.421) Prec@5 65.234 (59.162)
Epoch: [6][4740/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.0262 (3.1134) Prec@1 37.500 (33.426) Prec@5 60.547 (59.163)
Epoch: [6][4750/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.2926 (3.1134) Prec@1 30.469 (33.424) Prec@5 57.422 (59.164)
Epoch: [6][4760/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7603 (3.1133) Prec@1 36.719 (33.423) Prec@5 64.844 (59.166)
Epoch: [6][4770/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.9121 (3.1131) Prec@1 30.469 (33.425) Prec@5 62.891 (59.170)
Epoch: [6][4780/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.0729 (3.1129) Prec@1 34.766 (33.427) Prec@5 60.156 (59.175)
Epoch: [6][4790/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 2.9506 (3.1126) Prec@1 40.234 (33.433) Prec@5 63.672 (59.178)
Epoch: [6][4800/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0601 (3.1125) Prec@1 37.891 (33.436) Prec@5 63.281 (59.182)
Epoch: [6][4810/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.1136 (3.1124) Prec@1 33.594 (33.438) Prec@5 56.250 (59.183)
Epoch: [6][4820/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.3125 (3.1121) Prec@1 32.812 (33.442) Prec@5 56.641 (59.189)
Epoch: [6][4830/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.9737 (3.1120) Prec@1 34.375 (33.444) Prec@5 62.109 (59.193)
Epoch: [6][4840/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 3.0625 (3.1118) Prec@1 33.984 (33.445) Prec@5 56.250 (59.195)
Epoch: [6][4850/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.8533 (3.1117) Prec@1 36.328 (33.449) Prec@5 60.938 (59.196)
Epoch: [6][4860/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.3698 (3.1116) Prec@1 27.344 (33.450) Prec@5 55.859 (59.196)
Epoch: [6][4870/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7494 (3.1113) Prec@1 39.844 (33.456) Prec@5 67.188 (59.201)
Epoch: [6][4880/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.4579 (3.1112) Prec@1 28.906 (33.460) Prec@5 51.953 (59.203)
Epoch: [6][4890/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 3.1179 (3.1111) Prec@1 34.375 (33.466) Prec@5 59.766 (59.206)
Epoch: [6][4900/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.9877 (3.1109) Prec@1 32.422 (33.466) Prec@5 59.766 (59.209)
Epoch: [6][4910/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.0008 (3.1107) Prec@1 35.938 (33.471) Prec@5 62.891 (59.216)
Epoch: [6][4920/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 3.0700 (3.1105) Prec@1 35.938 (33.477) Prec@5 60.547 (59.219)
Epoch: [6][4930/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 3.2896 (3.1106) Prec@1 30.859 (33.475) Prec@5 58.203 (59.220)
Epoch: [6][4940/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 2.9462 (3.1105) Prec@1 36.719 (33.475) Prec@5 62.500 (59.219)
Epoch: [6][4950/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.1736 (3.1102) Prec@1 31.641 (33.480) Prec@5 57.031 (59.222)
Epoch: [6][4960/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0117 (3.1100) Prec@1 32.422 (33.483) Prec@5 63.281 (59.226)
Epoch: [6][4970/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.9095 (3.1099) Prec@1 35.156 (33.484) Prec@5 65.625 (59.230)
Epoch: [6][4980/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.8998 (3.1098) Prec@1 36.719 (33.486) Prec@5 63.281 (59.232)
Epoch: [6][4990/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.9319 (3.1095) Prec@1 36.328 (33.491) Prec@5 62.109 (59.237)
Epoch: [6][5000/5005] Time 0.601 (0.614) Data 0.000 (0.001) Loss 2.9133 (3.1092) Prec@1 34.766 (33.493) Prec@5 62.109 (59.243)
Test: [0/196] Time 5.214 (5.214) Loss 1.5079 (1.5079) Prec@1 64.844 (64.844) Prec@5 86.328 (86.328)
Test: [10/196] Time 0.202 (0.663) Loss 2.2946 (1.9578) Prec@1 44.141 (54.226) Prec@5 73.828 (78.196)
Test: [20/196] Time 0.202 (0.444) Loss 2.2791 (1.9269) Prec@1 53.125 (55.171) Prec@5 73.438 (78.646)
Test: [30/196] Time 0.217 (0.367) Loss 1.6533 (1.8945) Prec@1 56.641 (55.494) Prec@5 89.062 (79.347)
Test: [40/196] Time 0.202 (0.327) Loss 2.4731 (1.9792) Prec@1 33.594 (51.601) Prec@5 68.359 (78.535)
Test: [50/196] Time 0.204 (0.304) Loss 1.9490 (1.9567) Prec@1 45.703 (50.820) Prec@5 81.250 (79.350)
Test: [60/196] Time 0.204 (0.287) Loss 2.3104 (1.9686) Prec@1 41.016 (50.512) Prec@5 75.000 (79.470)
Test: [70/196] Time 0.203 (0.275) Loss 2.0809 (1.9739) Prec@1 52.344 (50.638) Prec@5 73.438 (79.253)
Test: [80/196] Time 0.205 (0.267) Loss 3.3137 (2.0134) Prec@1 27.344 (49.870) Prec@5 57.812 (78.559)
Test: [90/196] Time 0.204 (0.260) Loss 3.7317 (2.1075) Prec@1 20.312 (48.446) Prec@5 50.000 (76.983)
Test: [100/196] Time 0.201 (0.254) Loss 3.6863 (2.1967) Prec@1 23.828 (47.192) Prec@5 50.781 (75.433)
Test: [110/196] Time 0.204 (0.250) Loss 2.1585 (2.2310) Prec@1 56.250 (47.026) Prec@5 74.609 (74.796)
Test: [120/196] Time 0.207 (0.246) Loss 2.9965 (2.2634) Prec@1 37.891 (46.801) Prec@5 60.156 (74.151)
Test: [130/196] Time 0.202 (0.243) Loss 1.9699 (2.2961) Prec@1 58.203 (46.183) Prec@5 80.078 (73.670)
Test: [140/196] Time 0.203 (0.240) Loss 2.7364 (2.3338) Prec@1 39.844 (45.628) Prec@5 69.922 (72.989)
Test: [150/196] Time 0.206 (0.238) Loss 3.0095 (2.3728) Prec@1 39.062 (45.263) Prec@5 61.719 (72.281)
Test: [160/196] Time 0.202 (0.236) Loss 2.3283 (2.4025) Prec@1 50.000 (44.801) Prec@5 75.000 (71.812)
Test: [170/196] Time 0.208 (0.234) Loss 1.9450 (2.4339) Prec@1 47.656 (44.145) Prec@5 79.688 (71.258)
Test: [180/196] Time 0.202 (0.232) Loss 2.1081 (2.4557) Prec@1 45.703 (43.763) Prec@5 78.516 (70.859)
Test: [190/196] Time 0.202 (0.231) Loss 2.0513 (2.4435) Prec@1 47.266 (43.869) Prec@5 80.469 (71.120)
* Prec@1 44.264 Prec@5 71.324
Epoch: [7][0/5005] Time 4.079 (4.079) Data 3.828 (3.828) Loss 3.1523 (3.1523) Prec@1 32.812 (32.812) Prec@5 57.812 (57.812)
Epoch: [7][10/5005] Time 0.614 (0.963) Data 0.000 (0.414) Loss 2.9455 (3.0470) Prec@1 37.891 (34.162) Prec@5 62.891 (59.659)
Epoch: [7][20/5005] Time 0.615 (0.796) Data 0.000 (0.217) Loss 3.0688 (3.0103) Prec@1 32.422 (35.305) Prec@5 58.203 (60.696)
Epoch: [7][30/5005] Time 0.611 (0.737) Data 0.000 (0.147) Loss 2.9277 (3.0167) Prec@1 36.328 (35.307) Prec@5 60.938 (60.648)
Epoch: [7][40/5005] Time 0.613 (0.707) Data 0.001 (0.111) Loss 3.1230 (3.0058) Prec@1 36.328 (35.413) Prec@5 58.203 (60.766)
Epoch: [7][50/5005] Time 0.611 (0.688) Data 0.000 (0.090) Loss 2.9853 (2.9916) Prec@1 30.859 (35.539) Prec@5 60.938 (60.899)
Epoch: [7][60/5005] Time 0.609 (0.676) Data 0.000 (0.075) Loss 3.2252 (3.0043) Prec@1 28.125 (35.188) Prec@5 54.297 (60.784)
Epoch: [7][70/5005] Time 0.618 (0.667) Data 0.000 (0.065) Loss 2.8597 (3.0016) Prec@1 34.766 (35.206) Prec@5 59.375 (60.728)
Epoch: [7][80/5005] Time 0.619 (0.661) Data 0.000 (0.057) Loss 2.9933 (3.0008) Prec@1 34.375 (35.253) Prec@5 59.766 (60.716)
Epoch: [7][90/5005] Time 0.609 (0.655) Data 0.000 (0.050) Loss 2.8315 (2.9836) Prec@1 38.281 (35.525) Prec@5 63.281 (61.088)
Epoch: [7][100/5005] Time 0.608 (0.651) Data 0.000 (0.045) Loss 2.9939 (2.9834) Prec@1 33.203 (35.516) Prec@5 60.938 (61.115)
Epoch: [7][110/5005] Time 0.616 (0.648) Data 0.000 (0.041) Loss 3.0891 (2.9842) Prec@1 34.375 (35.336) Prec@5 60.938 (61.142)
Epoch: [7][120/5005] Time 0.622 (0.645) Data 0.000 (0.038) Loss 2.9735 (2.9877) Prec@1 35.938 (35.237) Prec@5 59.375 (61.044)
Epoch: [7][130/5005] Time 0.621 (0.643) Data 0.000 (0.035) Loss 2.8367 (2.9853) Prec@1 36.719 (35.311) Prec@5 63.281 (61.107)
Epoch: [7][140/5005] Time 0.610 (0.641) Data 0.000 (0.033) Loss 2.9737 (2.9817) Prec@1 33.984 (35.375) Prec@5 60.938 (61.209)
Epoch: [7][150/5005] Time 0.607 (0.639) Data 0.000 (0.031) Loss 2.8963 (2.9847) Prec@1 37.109 (35.296) Prec@5 61.719 (61.188)
Epoch: [7][160/5005] Time 0.614 (0.637) Data 0.001 (0.029) Loss 2.7938 (2.9805) Prec@1 37.891 (35.387) Prec@5 63.281 (61.260)
Epoch: [7][170/5005] Time 0.613 (0.636) Data 0.000 (0.027) Loss 2.8153 (2.9784) Prec@1 40.234 (35.419) Prec@5 64.062 (61.280)
Epoch: [7][180/5005] Time 0.615 (0.635) Data 0.000 (0.026) Loss 2.7686 (2.9735) Prec@1 40.625 (35.553) Prec@5 64.062 (61.399)
Epoch: [7][190/5005] Time 0.613 (0.634) Data 0.000 (0.024) Loss 2.8065 (2.9681) Prec@1 39.062 (35.643) Prec@5 65.234 (61.439)
Epoch: [7][200/5005] Time 0.610 (0.633) Data 0.001 (0.023) Loss 3.1730 (2.9712) Prec@1 33.203 (35.607) Prec@5 57.031 (61.379)
Epoch: [7][210/5005] Time 0.615 (0.632) Data 0.000 (0.022) Loss 2.9532 (2.9726) Prec@1 35.156 (35.552) Prec@5 64.453 (61.382)
Epoch: [7][220/5005] Time 0.614 (0.631) Data 0.000 (0.021) Loss 2.8222 (2.9686) Prec@1 39.062 (35.641) Prec@5 65.625 (61.454)
Epoch: [7][230/5005] Time 0.608 (0.630) Data 0.000 (0.020) Loss 2.9594 (2.9694) Prec@1 36.719 (35.655) Prec@5 60.938 (61.453)
Epoch: [7][240/5005] Time 0.618 (0.629) Data 0.000 (0.019) Loss 3.1059 (2.9701) Prec@1 33.203 (35.664) Prec@5 60.938 (61.477)
Epoch: [7][250/5005] Time 0.620 (0.629) Data 0.000 (0.019) Loss 2.8006 (2.9687) Prec@1 38.281 (35.690) Prec@5 62.109 (61.506)
Epoch: [7][260/5005] Time 0.613 (0.628) Data 0.001 (0.018) Loss 3.0307 (2.9709) Prec@1 35.938 (35.673) Prec@5 60.938 (61.457)
Epoch: [7][270/5005] Time 0.614 (0.628) Data 0.000 (0.017) Loss 3.1409 (2.9719) Prec@1 34.766 (35.684) Prec@5 59.375 (61.452)
Epoch: [7][280/5005] Time 0.617 (0.627) Data 0.000 (0.017) Loss 2.8846 (2.9719) Prec@1 33.984 (35.697) Prec@5 63.281 (61.469)
Epoch: [7][290/5005] Time 0.610 (0.627) Data 0.000 (0.016) Loss 3.0873 (2.9731) Prec@1 32.031 (35.678) Prec@5 59.766 (61.465)
Epoch: [7][300/5005] Time 0.619 (0.626) Data 0.000 (0.016) Loss 2.8875 (2.9710) Prec@1 37.500 (35.721) Prec@5 64.453 (61.498)
Epoch: [7][310/5005] Time 0.609 (0.626) Data 0.001 (0.015) Loss 2.9791 (2.9714) Prec@1 35.938 (35.740) Prec@5 60.547 (61.496)
Epoch: [7][320/5005] Time 0.623 (0.625) Data 0.000 (0.015) Loss 3.1544 (2.9737) Prec@1 33.594 (35.731) Prec@5 61.328 (61.494)
Epoch: [7][330/5005] Time 0.620 (0.625) Data 0.000 (0.014) Loss 3.0602 (2.9740) Prec@1 34.766 (35.676) Prec@5 59.766 (61.512)
Epoch: [7][340/5005] Time 0.611 (0.625) Data 0.000 (0.014) Loss 3.0361 (2.9778) Prec@1 30.859 (35.608) Prec@5 62.891 (61.450)
Epoch: [7][350/5005] Time 0.611 (0.624) Data 0.001 (0.013) Loss 3.0963 (2.9785) Prec@1 32.031 (35.567) Prec@5 57.812 (61.441)
Epoch: [7][360/5005] Time 0.614 (0.624) Data 0.000 (0.013) Loss 3.1725 (2.9771) Prec@1 35.547 (35.567) Prec@5 59.766 (61.479)
Epoch: [7][370/5005] Time 0.622 (0.624) Data 0.000 (0.013) Loss 3.1251 (2.9763) Prec@1 29.297 (35.591) Prec@5 60.156 (61.526)
Epoch: [7][380/5005] Time 0.611 (0.623) Data 0.000 (0.012) Loss 2.9008 (2.9773) Prec@1 36.719 (35.560) Prec@5 62.500 (61.544)
Epoch: [7][390/5005] Time 0.611 (0.623) Data 0.001 (0.012) Loss 3.2120 (2.9782) Prec@1 33.203 (35.553) Prec@5 58.984 (61.517)
Epoch: [7][400/5005] Time 0.618 (0.623) Data 0.000 (0.012) Loss 2.9116 (2.9766) Prec@1 36.328 (35.587) Prec@5 63.281 (61.530)
Epoch: [7][410/5005] Time 0.616 (0.623) Data 0.000 (0.012) Loss 3.1047 (2.9765) Prec@1 35.156 (35.574) Prec@5 58.984 (61.533)
Epoch: [7][420/5005] Time 0.610 (0.622) Data 0.000 (0.011) Loss 2.8964 (2.9771) Prec@1 36.328 (35.572) Prec@5 63.281 (61.516)
Epoch: [7][430/5005] Time 0.624 (0.622) Data 0.001 (0.011) Loss 2.8980 (2.9765) Prec@1 36.719 (35.568) Prec@5 62.891 (61.526)
Epoch: [7][440/5005] Time 0.614 (0.622) Data 0.000 (0.011) Loss 3.0581 (2.9774) Prec@1 31.641 (35.542) Prec@5 60.547 (61.517)
Epoch: [7][450/5005] Time 0.614 (0.622) Data 0.000 (0.011) Loss 2.9593 (2.9786) Prec@1 34.766 (35.492) Prec@5 60.156 (61.497)
Epoch: [7][460/5005] Time 0.621 (0.622) Data 0.000 (0.010) Loss 2.5775 (2.9773) Prec@1 37.891 (35.510) Prec@5 67.969 (61.514)
Epoch: [7][470/5005] Time 0.608 (0.622) Data 0.000 (0.010) Loss 2.8892 (2.9764) Prec@1 36.328 (35.532) Prec@5 62.500 (61.525)
Epoch: [7][480/5005] Time 0.613 (0.621) Data 0.000 (0.010) Loss 2.6248 (2.9759) Prec@1 41.797 (35.557) Prec@5 66.797 (61.532)
Epoch: [7][490/5005] Time 0.619 (0.621) Data 0.000 (0.010) Loss 3.2059 (2.9770) Prec@1 30.859 (35.544) Prec@5 58.594 (61.525)
Epoch: [7][500/5005] Time 0.610 (0.621) Data 0.000 (0.010) Loss 3.0086 (2.9777) Prec@1 33.203 (35.530) Prec@5 62.500 (61.507)
Epoch: [7][510/5005] Time 0.615 (0.621) Data 0.001 (0.009) Loss 2.9139 (2.9777) Prec@1 37.109 (35.548) Prec@5 59.375 (61.491)
Epoch: [7][520/5005] Time 0.622 (0.621) Data 0.000 (0.009) Loss 3.0202 (2.9780) Prec@1 33.984 (35.568) Prec@5 61.328 (61.486)
Epoch: [7][530/5005] Time 0.615 (0.621) Data 0.001 (0.009) Loss 2.9763 (2.9784) Prec@1 36.719 (35.573) Prec@5 60.938 (61.483)
Epoch: [7][540/5005] Time 0.620 (0.621) Data 0.000 (0.009) Loss 2.7448 (2.9771) Prec@1 35.938 (35.591) Prec@5 68.359 (61.503)
Epoch: [7][550/5005] Time 0.609 (0.620) Data 0.000 (0.009) Loss 2.8236 (2.9775) Prec@1 37.109 (35.594) Prec@5 64.062 (61.507)
Epoch: [7][560/5005] Time 0.618 (0.620) Data 0.000 (0.009) Loss 2.8865 (2.9779) Prec@1 37.109 (35.580) Prec@5 62.109 (61.512)
Epoch: [7][570/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 3.1221 (2.9792) Prec@1 32.031 (35.553) Prec@5 57.812 (61.478)
Epoch: [7][580/5005] Time 0.606 (0.620) Data 0.000 (0.008) Loss 3.0805 (2.9792) Prec@1 30.078 (35.542) Prec@5 58.203 (61.487)
Epoch: [7][590/5005] Time 0.614 (0.620) Data 0.001 (0.008) Loss 2.5723 (2.9790) Prec@1 42.578 (35.563) Prec@5 71.484 (61.498)
Epoch: [7][600/5005] Time 0.607 (0.620) Data 0.000 (0.008) Loss 3.0228 (2.9785) Prec@1 36.719 (35.564) Prec@5 62.109 (61.527)
Epoch: [7][610/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 2.9141 (2.9778) Prec@1 38.672 (35.574) Prec@5 62.891 (61.528)
Epoch: [7][620/5005] Time 0.612 (0.620) Data 0.000 (0.008) Loss 2.9801 (2.9776) Prec@1 36.719 (35.575) Prec@5 61.328 (61.535)
Epoch: [7][630/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 2.8002 (2.9781) Prec@1 42.969 (35.577) Prec@5 66.016 (61.534)
Epoch: [7][640/5005] Time 0.612 (0.619) Data 0.000 (0.008) Loss 2.9832 (2.9789) Prec@1 39.844 (35.583) Prec@5 60.156 (61.513)
Epoch: [7][650/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.8912 (2.9792) Prec@1 35.938 (35.579) Prec@5 66.797 (61.518)
Epoch: [7][660/5005] Time 0.612 (0.619) Data 0.001 (0.007) Loss 3.3048 (2.9798) Prec@1 30.859 (35.567) Prec@5 58.984 (61.515)
Epoch: [7][670/5005] Time 0.610 (0.619) Data 0.000 (0.007) Loss 3.2056 (2.9801) Prec@1 32.031 (35.559) Prec@5 54.297 (61.514)
Epoch: [7][680/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 2.8807 (2.9804) Prec@1 35.938 (35.558) Prec@5 59.766 (61.502)
Epoch: [7][690/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.8140 (2.9803) Prec@1 36.328 (35.576) Prec@5 64.844 (61.509)
Epoch: [7][700/5005] Time 0.615 (0.619) Data 0.000 (0.007) Loss 2.8139 (2.9796) Prec@1 40.625 (35.574) Prec@5 63.281 (61.521)
Epoch: [7][710/5005] Time 0.620 (0.619) Data 0.001 (0.007) Loss 2.7139 (2.9791) Prec@1 43.359 (35.582) Prec@5 67.188 (61.537)
Epoch: [7][720/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 3.0079 (2.9791) Prec@1 34.375 (35.578) Prec@5 59.766 (61.530)
Epoch: [7][730/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.6743 (2.9798) Prec@1 37.891 (35.553) Prec@5 64.453 (61.519)
Epoch: [7][740/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.8502 (2.9791) Prec@1 39.453 (35.582) Prec@5 61.719 (61.528)
Epoch: [7][750/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 2.8519 (2.9798) Prec@1 34.375 (35.584) Prec@5 63.281 (61.523)
Epoch: [7][760/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 2.9253 (2.9801) Prec@1 35.547 (35.567) Prec@5 63.672 (61.519)
Epoch: [7][770/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 2.7814 (2.9802) Prec@1 40.234 (35.568) Prec@5 62.891 (61.502)
Epoch: [7][780/5005] Time 0.607 (0.618) Data 0.000 (0.006) Loss 2.8006 (2.9798) Prec@1 41.016 (35.571) Prec@5 66.797 (61.513)
Epoch: [7][790/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 2.9515 (2.9794) Prec@1 33.984 (35.578) Prec@5 59.375 (61.523)
Epoch: [7][800/5005] Time 0.597 (0.618) Data 0.000 (0.006) Loss 2.9458 (2.9785) Prec@1 38.281 (35.613) Prec@5 58.203 (61.535)
Epoch: [7][810/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.8148 (2.9773) Prec@1 40.625 (35.647) Prec@5 66.797 (61.567)
Epoch: [7][820/5005] Time 0.605 (0.618) Data 0.000 (0.006) Loss 2.9943 (2.9775) Prec@1 34.766 (35.646) Prec@5 62.109 (61.577)
Epoch: [7][830/5005] Time 0.612 (0.618) Data 0.001 (0.006) Loss 3.2537 (2.9775) Prec@1 33.984 (35.660) Prec@5 59.375 (61.572)
Epoch: [7][840/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 2.9869 (2.9768) Prec@1 36.719 (35.669) Prec@5 60.547 (61.587)
Epoch: [7][850/5005] Time 0.616 (0.618) Data 0.001 (0.006) Loss 2.9843 (2.9766) Prec@1 37.109 (35.672) Prec@5 60.938 (61.585)
Epoch: [7][860/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 2.9061 (2.9767) Prec@1 34.766 (35.679) Prec@5 61.719 (61.586)
Epoch: [7][870/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 3.1579 (2.9774) Prec@1 35.547 (35.679) Prec@5 57.812 (61.579)
Epoch: [7][880/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 2.9865 (2.9780) Prec@1 33.594 (35.661) Prec@5 58.984 (61.565)
Epoch: [7][890/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 2.9607 (2.9786) Prec@1 37.891 (35.652) Prec@5 62.109 (61.557)
Epoch: [7][900/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.9989 (2.9787) Prec@1 38.672 (35.656) Prec@5 59.375 (61.558)
Epoch: [7][910/5005] Time 0.620 (0.618) Data 0.000 (0.005) Loss 2.7432 (2.9783) Prec@1 39.062 (35.658) Prec@5 61.719 (61.555)
Epoch: [7][920/5005] Time 0.607 (0.618) Data 0.000 (0.005) Loss 2.8518 (2.9785) Prec@1 39.453 (35.665) Prec@5 63.672 (61.539)
Epoch: [7][930/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 3.0449 (2.9772) Prec@1 34.375 (35.682) Prec@5 58.594 (61.570)
Epoch: [7][940/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 3.0104 (2.9769) Prec@1 35.156 (35.679) Prec@5 62.891 (61.570)
Epoch: [7][950/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 3.0112 (2.9762) Prec@1 35.156 (35.693) Prec@5 59.766 (61.582)
Epoch: [7][960/5005] Time 0.611 (0.617) Data 0.001 (0.005) Loss 3.1415 (2.9762) Prec@1 30.469 (35.685) Prec@5 57.812 (61.576)
Epoch: [7][970/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 2.9817 (2.9764) Prec@1 33.984 (35.682) Prec@5 63.672 (61.580)
Epoch: [7][980/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.8512 (2.9761) Prec@1 33.594 (35.686) Prec@5 60.938 (61.585)
Epoch: [7][990/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.7486 (2.9753) Prec@1 36.328 (35.696) Prec@5 67.188 (61.599)
Epoch: [7][1000/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.1103 (2.9756) Prec@1 29.297 (35.684) Prec@5 59.375 (61.598)
Epoch: [7][1010/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 2.9188 (2.9751) Prec@1 36.719 (35.698) Prec@5 60.156 (61.601)
Epoch: [7][1020/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.8857 (2.9751) Prec@1 32.422 (35.693) Prec@5 62.500 (61.600)
Epoch: [7][1030/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 2.8881 (2.9746) Prec@1 37.891 (35.707) Prec@5 62.109 (61.608)
Epoch: [7][1040/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 2.8530 (2.9745) Prec@1 36.719 (35.707) Prec@5 64.453 (61.614)
Epoch: [7][1050/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 3.0578 (2.9747) Prec@1 32.422 (35.699) Prec@5 60.547 (61.611)
Epoch: [7][1060/5005] Time 0.612 (0.617) Data 0.001 (0.005) Loss 3.0619 (2.9754) Prec@1 33.984 (35.691) Prec@5 59.766 (61.608)
Epoch: [7][1070/5005] Time 0.620 (0.617) Data 0.001 (0.005) Loss 2.9686 (2.9750) Prec@1 39.453 (35.709) Prec@5 66.406 (61.622)
Epoch: [7][1080/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.6577 (2.9751) Prec@1 39.062 (35.708) Prec@5 66.797 (61.622)
Epoch: [7][1090/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.9127 (2.9750) Prec@1 35.938 (35.712) Prec@5 66.406 (61.634)
Epoch: [7][1100/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.8607 (2.9746) Prec@1 38.281 (35.724) Prec@5 66.797 (61.645)
Epoch: [7][1110/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.0780 (2.9749) Prec@1 32.812 (35.720) Prec@5 60.156 (61.645)
Epoch: [7][1120/5005] Time 0.631 (0.617) Data 0.000 (0.005) Loss 3.0484 (2.9747) Prec@1 33.984 (35.717) Prec@5 59.766 (61.646)
Epoch: [7][1130/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.0051 (2.9744) Prec@1 36.328 (35.719) Prec@5 62.500 (61.654)
Epoch: [7][1140/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.9406 (2.9739) Prec@1 37.500 (35.715) Prec@5 62.500 (61.662)
Epoch: [7][1150/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.0794 (2.9736) Prec@1 32.422 (35.727) Prec@5 59.375 (61.663)
Epoch: [7][1160/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.8882 (2.9737) Prec@1 39.844 (35.734) Prec@5 60.156 (61.655)
Epoch: [7][1170/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.6483 (2.9735) Prec@1 39.844 (35.740) Prec@5 66.797 (61.659)
Epoch: [7][1180/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.0255 (2.9737) Prec@1 33.984 (35.738) Prec@5 60.547 (61.658)
Epoch: [7][1190/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 3.1350 (2.9748) Prec@1 35.547 (35.724) Prec@5 60.156 (61.646)
Epoch: [7][1200/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.7978 (2.9745) Prec@1 37.500 (35.735) Prec@5 66.406 (61.653)
Epoch: [7][1210/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 3.0861 (2.9746) Prec@1 35.547 (35.738) Prec@5 58.594 (61.647)
Epoch: [7][1220/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 3.0547 (2.9751) Prec@1 35.156 (35.724) Prec@5 58.594 (61.633)
Epoch: [7][1230/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 3.0391 (2.9750) Prec@1 34.375 (35.726) Prec@5 60.938 (61.627)
Epoch: [7][1240/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.9747 (2.9753) Prec@1 34.375 (35.723) Prec@5 63.281 (61.622)
Epoch: [7][1250/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 3.2609 (2.9760) Prec@1 33.594 (35.706) Prec@5 58.594 (61.614)
Epoch: [7][1260/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 3.1931 (2.9759) Prec@1 30.859 (35.710) Prec@5 59.375 (61.611)
Epoch: [7][1270/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.7502 (2.9763) Prec@1 38.281 (35.701) Prec@5 67.188 (61.618)
Epoch: [7][1280/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 3.0346 (2.9769) Prec@1 32.812 (35.696) Prec@5 62.109 (61.611)
Epoch: [7][1290/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.8830 (2.9766) Prec@1 34.375 (35.692) Prec@5 63.281 (61.616)
Epoch: [7][1300/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 2.6081 (2.9763) Prec@1 43.359 (35.698) Prec@5 66.797 (61.624)
Epoch: [7][1310/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.9175 (2.9761) Prec@1 32.031 (35.698) Prec@5 63.672 (61.621)
Epoch: [7][1320/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 3.0578 (2.9759) Prec@1 32.812 (35.702) Prec@5 63.672 (61.630)
Epoch: [7][1330/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.9163 (2.9758) Prec@1 36.719 (35.701) Prec@5 60.938 (61.633)
Epoch: [7][1340/5005] Time 0.606 (0.616) Data 0.000 (0.004) Loss 3.0849 (2.9764) Prec@1 31.250 (35.693) Prec@5 60.156 (61.623)
Epoch: [7][1350/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 2.9809 (2.9759) Prec@1 37.891 (35.704) Prec@5 60.547 (61.637)
Epoch: [7][1360/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.8945 (2.9758) Prec@1 36.719 (35.707) Prec@5 62.500 (61.639)
Epoch: [7][1370/5005] Time 0.620 (0.616) Data 0.001 (0.004) Loss 2.8317 (2.9757) Prec@1 36.719 (35.708) Prec@5 61.328 (61.637)
Epoch: [7][1380/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.1393 (2.9761) Prec@1 32.812 (35.701) Prec@5 58.594 (61.629)
Epoch: [7][1390/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 3.0493 (2.9759) Prec@1 32.422 (35.699) Prec@5 61.719 (61.629)
Epoch: [7][1400/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 3.0707 (2.9756) Prec@1 32.812 (35.702) Prec@5 60.938 (61.641)
Epoch: [7][1410/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 2.8776 (2.9750) Prec@1 39.453 (35.713) Prec@5 62.109 (61.651)
Epoch: [7][1420/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.8537 (2.9750) Prec@1 34.375 (35.712) Prec@5 62.891 (61.649)
Epoch: [7][1430/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.9097 (2.9751) Prec@1 39.062 (35.718) Prec@5 64.453 (61.645)
Epoch: [7][1440/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.9644 (2.9749) Prec@1 33.594 (35.722) Prec@5 60.938 (61.654)
Epoch: [7][1450/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 3.0271 (2.9746) Prec@1 35.938 (35.729) Prec@5 65.625 (61.658)
Epoch: [7][1460/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.8877 (2.9745) Prec@1 33.594 (35.721) Prec@5 64.453 (61.657)
Epoch: [7][1470/5005] Time 0.606 (0.616) Data 0.000 (0.004) Loss 2.8390 (2.9743) Prec@1 36.328 (35.726) Prec@5 64.844 (61.664)
Epoch: [7][1480/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 3.1752 (2.9748) Prec@1 32.031 (35.723) Prec@5 56.641 (61.659)
Epoch: [7][1490/5005] Time 0.620 (0.616) Data 0.001 (0.004) Loss 3.0789 (2.9752) Prec@1 34.375 (35.720) Prec@5 61.719 (61.652)
Epoch: [7][1500/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.9565 (2.9754) Prec@1 32.422 (35.718) Prec@5 63.672 (61.650)
Epoch: [7][1510/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.8937 (2.9752) Prec@1 37.891 (35.726) Prec@5 63.672 (61.653)
Epoch: [7][1520/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.7890 (2.9750) Prec@1 39.062 (35.725) Prec@5 64.062 (61.656)
Epoch: [7][1530/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.9434 (2.9748) Prec@1 38.672 (35.735) Prec@5 63.281 (61.661)
Epoch: [7][1540/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.5879 (2.9743) Prec@1 41.406 (35.737) Prec@5 67.578 (61.664)
Epoch: [7][1550/5005] Time 0.621 (0.616) Data 0.001 (0.003) Loss 2.9091 (2.9740) Prec@1 38.281 (35.746) Prec@5 61.719 (61.668)
Epoch: [7][1560/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 3.1014 (2.9739) Prec@1 33.203 (35.755) Prec@5 59.375 (61.671)
Epoch: [7][1570/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.8981 (2.9738) Prec@1 37.109 (35.759) Prec@5 62.109 (61.665)
Epoch: [7][1580/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.2904 (2.9741) Prec@1 35.156 (35.752) Prec@5 56.641 (61.660)
Epoch: [7][1590/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 3.1507 (2.9739) Prec@1 31.250 (35.754) Prec@5 56.250 (61.664)
Epoch: [7][1600/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 3.0887 (2.9738) Prec@1 32.422 (35.754) Prec@5 58.203 (61.663)
Epoch: [7][1610/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.0991 (2.9735) Prec@1 33.594 (35.757) Prec@5 59.766 (61.662)
Epoch: [7][1620/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.7889 (2.9739) Prec@1 39.844 (35.756) Prec@5 62.891 (61.661)
Epoch: [7][1630/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.8064 (2.9734) Prec@1 38.672 (35.766) Prec@5 63.281 (61.667)
Epoch: [7][1640/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.0823 (2.9732) Prec@1 33.984 (35.773) Prec@5 59.375 (61.669)
Epoch: [7][1650/5005] Time 0.618 (0.616) Data 0.001 (0.003) Loss 2.7494 (2.9728) Prec@1 39.844 (35.782) Prec@5 68.359 (61.682)
Epoch: [7][1660/5005] Time 0.660 (0.616) Data 0.000 (0.003) Loss 2.8976 (2.9728) Prec@1 33.984 (35.786) Prec@5 60.547 (61.679)
Epoch: [7][1670/5005] Time 0.554 (0.616) Data 0.001 (0.003) Loss 2.7116 (2.9721) Prec@1 39.062 (35.795) Prec@5 64.844 (61.688)
Epoch: [7][1680/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.0609 (2.9720) Prec@1 32.422 (35.797) Prec@5 60.547 (61.690)
Epoch: [7][1690/5005] Time 0.615 (0.616) Data 0.001 (0.003) Loss 2.9125 (2.9718) Prec@1 34.766 (35.794) Prec@5 60.938 (61.692)
Epoch: [7][1700/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 3.0739 (2.9718) Prec@1 30.469 (35.791) Prec@5 62.109 (61.697)
Epoch: [7][1710/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.8501 (2.9713) Prec@1 35.156 (35.800) Prec@5 63.281 (61.701)
Epoch: [7][1720/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.6563 (2.9710) Prec@1 44.922 (35.807) Prec@5 67.578 (61.703)
Epoch: [7][1730/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.8413 (2.9707) Prec@1 37.891 (35.810) Prec@5 63.281 (61.710)
Epoch: [7][1740/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.7864 (2.9705) Prec@1 37.891 (35.807) Prec@5 63.672 (61.715)
Epoch: [7][1750/5005] Time 0.604 (0.616) Data 0.000 (0.003) Loss 3.1514 (2.9700) Prec@1 32.812 (35.817) Prec@5 55.859 (61.721)
Epoch: [7][1760/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.8417 (2.9694) Prec@1 39.062 (35.829) Prec@5 64.062 (61.731)
Epoch: [7][1770/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 3.0945 (2.9688) Prec@1 34.375 (35.838) Prec@5 60.547 (61.741)
Epoch: [7][1780/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.9595 (2.9687) Prec@1 37.891 (35.842) Prec@5 64.062 (61.749)
Epoch: [7][1790/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.9282 (2.9689) Prec@1 35.938 (35.843) Prec@5 64.453 (61.745)
Epoch: [7][1800/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.5030 (2.9684) Prec@1 42.188 (35.839) Prec@5 68.750 (61.750)
Epoch: [7][1810/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.0499 (2.9680) Prec@1 32.422 (35.849) Prec@5 63.281 (61.762)
Epoch: [7][1820/5005] Time 0.612 (0.616) Data 0.001 (0.003) Loss 2.9993 (2.9679) Prec@1 34.766 (35.855) Prec@5 59.766 (61.770)
Epoch: [7][1830/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 3.0713 (2.9680) Prec@1 35.938 (35.849) Prec@5 62.500 (61.769)
Epoch: [7][1840/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.0957 (2.9678) Prec@1 35.938 (35.854) Prec@5 58.984 (61.771)
Epoch: [7][1850/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.9401 (2.9672) Prec@1 35.938 (35.874) Prec@5 64.453 (61.780)
Epoch: [7][1860/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.9405 (2.9672) Prec@1 36.328 (35.879) Prec@5 61.719 (61.780)
Epoch: [7][1870/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.9411 (2.9674) Prec@1 35.547 (35.879) Prec@5 62.891 (61.780)
Epoch: [7][1880/5005] Time 0.616 (0.616) Data 0.001 (0.003) Loss 3.0661 (2.9668) Prec@1 29.688 (35.880) Prec@5 62.109 (61.790)
Epoch: [7][1890/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.8908 (2.9668) Prec@1 32.031 (35.879) Prec@5 61.328 (61.788)
Epoch: [7][1900/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.8836 (2.9667) Prec@1 34.766 (35.880) Prec@5 60.156 (61.785)
Epoch: [7][1910/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.7462 (2.9663) Prec@1 36.328 (35.886) Prec@5 66.797 (61.789)
Epoch: [7][1920/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.6834 (2.9661) Prec@1 40.625 (35.891) Prec@5 67.578 (61.792)
Epoch: [7][1930/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.8674 (2.9657) Prec@1 38.672 (35.901) Prec@5 63.672 (61.798)
Epoch: [7][1940/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.8152 (2.9656) Prec@1 38.672 (35.906) Prec@5 63.281 (61.800)
Epoch: [7][1950/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.7287 (2.9658) Prec@1 41.797 (35.904) Prec@5 65.234 (61.796)
Epoch: [7][1960/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 3.1119 (2.9659) Prec@1 33.594 (35.903) Prec@5 62.891 (61.798)
Epoch: [7][1970/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.7234 (2.9656) Prec@1 38.281 (35.907) Prec@5 66.016 (61.808)
Epoch: [7][1980/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.5448 (2.9654) Prec@1 42.188 (35.906) Prec@5 69.141 (61.815)
Epoch: [7][1990/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.8976 (2.9653) Prec@1 35.547 (35.910) Prec@5 60.156 (61.818)
Epoch: [7][2000/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 3.0423 (2.9654) Prec@1 38.281 (35.910) Prec@5 62.109 (61.817)
Epoch: [7][2010/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.9572 (2.9653) Prec@1 39.453 (35.910) Prec@5 63.281 (61.819)
Epoch: [7][2020/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.9379 (2.9650) Prec@1 35.938 (35.922) Prec@5 64.062 (61.828)
Epoch: [7][2030/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.8173 (2.9649) Prec@1 40.234 (35.929) Prec@5 61.328 (61.833)
Epoch: [7][2040/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.2720 (2.9651) Prec@1 30.469 (35.925) Prec@5 57.422 (61.834)
Epoch: [7][2050/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 3.1046 (2.9654) Prec@1 31.250 (35.921) Prec@5 55.469 (61.827)
Epoch: [7][2060/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.7942 (2.9655) Prec@1 40.625 (35.920) Prec@5 63.281 (61.820)
Epoch: [7][2070/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.9101 (2.9654) Prec@1 35.938 (35.915) Prec@5 60.156 (61.818)
Epoch: [7][2080/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.8024 (2.9656) Prec@1 36.328 (35.910) Prec@5 66.797 (61.816)
Epoch: [7][2090/5005] Time 0.613 (0.615) Data 0.001 (0.003) Loss 2.6988 (2.9655) Prec@1 42.188 (35.912) Prec@5 67.969 (61.820)
Epoch: [7][2100/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.8365 (2.9659) Prec@1 39.844 (35.905) Prec@5 67.578 (61.814)
Epoch: [7][2110/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.0887 (2.9658) Prec@1 32.812 (35.909) Prec@5 57.031 (61.818)
Epoch: [7][2120/5005] Time 0.608 (0.615) Data 0.001 (0.003) Loss 3.1499 (2.9658) Prec@1 34.766 (35.914) Prec@5 58.203 (61.813)
Epoch: [7][2130/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.0117 (2.9654) Prec@1 32.031 (35.918) Prec@5 61.328 (61.819)
Epoch: [7][2140/5005] Time 0.604 (0.615) Data 0.000 (0.003) Loss 2.7542 (2.9652) Prec@1 38.672 (35.919) Prec@5 68.359 (61.819)
Epoch: [7][2150/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.8798 (2.9650) Prec@1 34.766 (35.921) Prec@5 64.062 (61.825)
Epoch: [7][2160/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.7139 (2.9650) Prec@1 37.109 (35.920) Prec@5 65.625 (61.820)
Epoch: [7][2170/5005] Time 0.617 (0.615) Data 0.001 (0.003) Loss 2.8911 (2.9648) Prec@1 37.891 (35.920) Prec@5 61.328 (61.818)
Epoch: [7][2180/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.9064 (2.9648) Prec@1 36.719 (35.919) Prec@5 66.016 (61.825)
Epoch: [7][2190/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.7817 (2.9647) Prec@1 41.406 (35.916) Prec@5 65.234 (61.825)
Epoch: [7][2200/5005] Time 0.617 (0.615) Data 0.001 (0.003) Loss 2.8617 (2.9646) Prec@1 34.766 (35.921) Prec@5 64.844 (61.826)
Epoch: [7][2210/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.7813 (2.9646) Prec@1 41.016 (35.918) Prec@5 64.453 (61.819)
Epoch: [7][2220/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.0592 (2.9645) Prec@1 33.594 (35.918) Prec@5 60.938 (61.817)
Epoch: [7][2230/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.0934 (2.9648) Prec@1 36.719 (35.917) Prec@5 60.547 (61.814)
Epoch: [7][2240/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.0506 (2.9649) Prec@1 36.328 (35.915) Prec@5 58.984 (61.811)
Epoch: [7][2250/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8131 (2.9647) Prec@1 37.109 (35.917) Prec@5 67.969 (61.817)
Epoch: [7][2260/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.9997 (2.9649) Prec@1 34.766 (35.918) Prec@5 62.109 (61.815)
Epoch: [7][2270/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 3.1289 (2.9652) Prec@1 34.766 (35.914) Prec@5 60.156 (61.805)
Epoch: [7][2280/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.8715 (2.9650) Prec@1 36.719 (35.922) Prec@5 63.672 (61.810)
Epoch: [7][2290/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.0249 (2.9648) Prec@1 35.156 (35.929) Prec@5 65.625 (61.814)
Epoch: [7][2300/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8694 (2.9646) Prec@1 36.328 (35.932) Prec@5 61.719 (61.818)
Epoch: [7][2310/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.7969 (2.9645) Prec@1 35.156 (35.934) Prec@5 62.109 (61.819)
Epoch: [7][2320/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9059 (2.9645) Prec@1 36.328 (35.932) Prec@5 60.156 (61.818)
Epoch: [7][2330/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.9710 (2.9643) Prec@1 37.891 (35.933) Prec@5 64.062 (61.820)
Epoch: [7][2340/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9400 (2.9643) Prec@1 39.844 (35.937) Prec@5 60.547 (61.819)
Epoch: [7][2350/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7129 (2.9642) Prec@1 40.625 (35.942) Prec@5 66.406 (61.820)
Epoch: [7][2360/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8592 (2.9642) Prec@1 37.891 (35.942) Prec@5 64.844 (61.820)
Epoch: [7][2370/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7150 (2.9639) Prec@1 41.406 (35.952) Prec@5 66.406 (61.826)
Epoch: [7][2380/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.8793 (2.9638) Prec@1 32.812 (35.949) Prec@5 65.234 (61.826)
Epoch: [7][2390/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9071 (2.9636) Prec@1 32.422 (35.951) Prec@5 63.672 (61.835)
Epoch: [7][2400/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.9596 (2.9634) Prec@1 36.719 (35.957) Prec@5 58.984 (61.835)
Epoch: [7][2410/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1135 (2.9632) Prec@1 35.547 (35.962) Prec@5 62.109 (61.843)
Epoch: [7][2420/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1803 (2.9633) Prec@1 32.031 (35.960) Prec@5 56.641 (61.841)
Epoch: [7][2430/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 3.0867 (2.9632) Prec@1 32.031 (35.958) Prec@5 59.766 (61.840)
Epoch: [7][2440/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7589 (2.9633) Prec@1 43.750 (35.963) Prec@5 66.797 (61.844)
Epoch: [7][2450/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9607 (2.9628) Prec@1 35.547 (35.969) Prec@5 59.766 (61.851)
Epoch: [7][2460/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8779 (2.9626) Prec@1 34.766 (35.971) Prec@5 62.109 (61.853)
Epoch: [7][2470/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.1490 (2.9623) Prec@1 34.766 (35.977) Prec@5 59.375 (61.861)
Epoch: [7][2480/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.0474 (2.9622) Prec@1 36.328 (35.983) Prec@5 61.328 (61.866)
Epoch: [7][2490/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.9095 (2.9619) Prec@1 36.328 (35.987) Prec@5 62.109 (61.870)
Epoch: [7][2500/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9594 (2.9616) Prec@1 37.109 (35.990) Prec@5 61.328 (61.877)
Epoch: [7][2510/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.8175 (2.9616) Prec@1 37.500 (35.994) Prec@5 63.672 (61.875)
Epoch: [7][2520/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8969 (2.9617) Prec@1 33.984 (35.993) Prec@5 62.891 (61.877)
Epoch: [7][2530/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.0975 (2.9621) Prec@1 38.281 (35.986) Prec@5 61.719 (61.869)
Epoch: [7][2540/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7678 (2.9621) Prec@1 41.797 (35.987) Prec@5 65.234 (61.870)
Epoch: [7][2550/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.9679 (2.9620) Prec@1 34.375 (35.990) Prec@5 62.109 (61.872)
Epoch: [7][2560/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9801 (2.9619) Prec@1 33.203 (35.990) Prec@5 65.625 (61.872)
Epoch: [7][2570/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7439 (2.9615) Prec@1 38.281 (35.996) Prec@5 67.188 (61.880)
Epoch: [7][2580/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8104 (2.9614) Prec@1 39.453 (36.002) Prec@5 63.281 (61.880)
Epoch: [7][2590/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.0521 (2.9615) Prec@1 34.766 (36.002) Prec@5 62.891 (61.882)
Epoch: [7][2600/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 3.1466 (2.9615) Prec@1 32.422 (35.997) Prec@5 62.109 (61.887)
Epoch: [7][2610/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8058 (2.9613) Prec@1 38.281 (36.000) Prec@5 65.234 (61.888)
Epoch: [7][2620/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 2.8627 (2.9611) Prec@1 40.625 (36.006) Prec@5 66.797 (61.893)
Epoch: [7][2630/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.1697 (2.9608) Prec@1 31.641 (36.012) Prec@5 58.984 (61.897)
Epoch: [7][2640/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9971 (2.9606) Prec@1 33.594 (36.016) Prec@5 59.766 (61.903)
Epoch: [7][2650/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.8749 (2.9601) Prec@1 38.672 (36.021) Prec@5 62.500 (61.911)
Epoch: [7][2660/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9147 (2.9602) Prec@1 37.891 (36.018) Prec@5 62.891 (61.909)
Epoch: [7][2670/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.1642 (2.9600) Prec@1 33.203 (36.023) Prec@5 60.938 (61.916)
Epoch: [7][2680/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.7328 (2.9598) Prec@1 39.453 (36.028) Prec@5 64.062 (61.919)
Epoch: [7][2690/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8978 (2.9597) Prec@1 39.453 (36.029) Prec@5 62.109 (61.922)
Epoch: [7][2700/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9303 (2.9600) Prec@1 35.156 (36.027) Prec@5 62.891 (61.920)
Epoch: [7][2710/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8237 (2.9600) Prec@1 37.891 (36.028) Prec@5 64.062 (61.921)
Epoch: [7][2720/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8009 (2.9598) Prec@1 37.109 (36.030) Prec@5 63.281 (61.924)
Epoch: [7][2730/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.1208 (2.9597) Prec@1 33.203 (36.033) Prec@5 58.594 (61.924)
Epoch: [7][2740/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.8743 (2.9596) Prec@1 39.844 (36.036) Prec@5 65.234 (61.926)
Epoch: [7][2750/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.9823 (2.9593) Prec@1 39.062 (36.043) Prec@5 60.547 (61.931)
Epoch: [7][2760/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 3.2016 (2.9591) Prec@1 29.688 (36.042) Prec@5 55.469 (61.932)
Epoch: [7][2770/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8554 (2.9586) Prec@1 36.719 (36.046) Prec@5 63.281 (61.938)
Epoch: [7][2780/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6287 (2.9585) Prec@1 39.453 (36.049) Prec@5 65.234 (61.936)
Epoch: [7][2790/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.7852 (2.9583) Prec@1 37.109 (36.050) Prec@5 64.062 (61.940)
Epoch: [7][2800/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9518 (2.9581) Prec@1 38.281 (36.057) Prec@5 61.328 (61.942)
Epoch: [7][2810/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.6480 (2.9579) Prec@1 42.188 (36.062) Prec@5 66.406 (61.947)
Epoch: [7][2820/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8692 (2.9577) Prec@1 37.500 (36.064) Prec@5 61.719 (61.951)
Epoch: [7][2830/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.9688 (2.9577) Prec@1 38.672 (36.069) Prec@5 63.672 (61.952)
Epoch: [7][2840/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.8534 (2.9576) Prec@1 35.938 (36.074) Prec@5 62.109 (61.954)
Epoch: [7][2850/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8410 (2.9575) Prec@1 38.281 (36.078) Prec@5 63.672 (61.957)
Epoch: [7][2860/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7582 (2.9570) Prec@1 38.672 (36.086) Prec@5 66.797 (61.969)
Epoch: [7][2870/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.2574 (2.9570) Prec@1 32.422 (36.087) Prec@5 57.031 (61.969)
Epoch: [7][2880/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8664 (2.9568) Prec@1 36.328 (36.090) Prec@5 62.891 (61.969)
Epoch: [7][2890/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9743 (2.9569) Prec@1 41.016 (36.089) Prec@5 59.375 (61.966)
Epoch: [7][2900/5005] Time 0.595 (0.615) Data 0.000 (0.002) Loss 3.0984 (2.9568) Prec@1 32.812 (36.092) Prec@5 58.984 (61.969)
Epoch: [7][2910/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.0950 (2.9567) Prec@1 33.594 (36.095) Prec@5 62.891 (61.976)
Epoch: [7][2920/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.2097 (2.9564) Prec@1 34.766 (36.099) Prec@5 57.812 (61.980)
Epoch: [7][2930/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.9343 (2.9563) Prec@1 35.938 (36.099) Prec@5 58.594 (61.980)
Epoch: [7][2940/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.0008 (2.9562) Prec@1 34.766 (36.101) Prec@5 60.156 (61.983)
Epoch: [7][2950/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.8629 (2.9561) Prec@1 38.672 (36.103) Prec@5 63.672 (61.983)
Epoch: [7][2960/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8702 (2.9562) Prec@1 39.062 (36.101) Prec@5 64.453 (61.979)
Epoch: [7][2970/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7439 (2.9562) Prec@1 39.844 (36.104) Prec@5 65.625 (61.979)
Epoch: [7][2980/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.9107 (2.9560) Prec@1 36.328 (36.104) Prec@5 62.891 (61.982)
Epoch: [7][2990/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8851 (2.9557) Prec@1 38.672 (36.113) Prec@5 62.109 (61.985)
Epoch: [7][3000/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.0352 (2.9559) Prec@1 33.984 (36.111) Prec@5 62.500 (61.985)
Epoch: [7][3010/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8910 (2.9557) Prec@1 38.281 (36.115) Prec@5 63.672 (61.990)
Epoch: [7][3020/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.9278 (2.9556) Prec@1 37.109 (36.117) Prec@5 62.891 (61.995)
Epoch: [7][3030/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.9381 (2.9554) Prec@1 35.156 (36.119) Prec@5 62.500 (61.997)
Epoch: [7][3040/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8323 (2.9552) Prec@1 38.281 (36.123) Prec@5 64.844 (62.000)
Epoch: [7][3050/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8665 (2.9550) Prec@1 41.406 (36.127) Prec@5 65.625 (62.004)
Epoch: [7][3060/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.3147 (2.9554) Prec@1 27.344 (36.120) Prec@5 59.766 (62.001)
Epoch: [7][3070/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7342 (2.9551) Prec@1 35.938 (36.125) Prec@5 64.062 (62.003)
Epoch: [7][3080/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6819 (2.9551) Prec@1 42.969 (36.126) Prec@5 66.406 (62.007)
Epoch: [7][3090/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.2038 (2.9550) Prec@1 31.641 (36.133) Prec@5 58.203 (62.008)
Epoch: [7][3100/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8441 (2.9548) Prec@1 39.453 (36.135) Prec@5 63.281 (62.012)
Epoch: [7][3110/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.9198 (2.9548) Prec@1 37.109 (36.137) Prec@5 61.328 (62.011)
Epoch: [7][3120/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9028 (2.9544) Prec@1 36.719 (36.144) Prec@5 62.109 (62.019)
Epoch: [7][3130/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8006 (2.9542) Prec@1 39.453 (36.149) Prec@5 64.062 (62.020)
Epoch: [7][3140/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 2.9299 (2.9539) Prec@1 35.938 (36.155) Prec@5 65.234 (62.028)
Epoch: [7][3150/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7099 (2.9538) Prec@1 42.578 (36.157) Prec@5 69.531 (62.032)
Epoch: [7][3160/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.9598 (2.9535) Prec@1 38.672 (36.165) Prec@5 61.328 (62.037)
Epoch: [7][3170/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.0288 (2.9532) Prec@1 32.422 (36.167) Prec@5 59.375 (62.043)
Epoch: [7][3180/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9807 (2.9530) Prec@1 35.156 (36.174) Prec@5 60.938 (62.044)
Epoch: [7][3190/5005] Time 0.608 (0.615) Data 0.001 (0.002) Loss 3.0462 (2.9530) Prec@1 35.547 (36.175) Prec@5 61.328 (62.042)
Epoch: [7][3200/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7046 (2.9528) Prec@1 39.844 (36.178) Prec@5 67.188 (62.044)
Epoch: [7][3210/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9092 (2.9529) Prec@1 38.672 (36.179) Prec@5 59.766 (62.043)
Epoch: [7][3220/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.1581 (2.9529) Prec@1 33.984 (36.181) Prec@5 59.766 (62.042)
Epoch: [7][3230/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8378 (2.9531) Prec@1 37.500 (36.179) Prec@5 63.281 (62.036)
Epoch: [7][3240/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8518 (2.9529) Prec@1 38.281 (36.184) Prec@5 64.453 (62.038)
Epoch: [7][3250/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8360 (2.9526) Prec@1 36.719 (36.186) Prec@5 66.406 (62.044)
Epoch: [7][3260/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8337 (2.9525) Prec@1 36.719 (36.186) Prec@5 61.719 (62.046)
Epoch: [7][3270/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.0263 (2.9526) Prec@1 33.203 (36.182) Prec@5 59.375 (62.045)
Epoch: [7][3280/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.0225 (2.9526) Prec@1 37.109 (36.185) Prec@5 60.938 (62.047)
Epoch: [7][3290/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.9754 (2.9527) Prec@1 39.453 (36.187) Prec@5 61.719 (62.043)
Epoch: [7][3300/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 3.1313 (2.9528) Prec@1 32.031 (36.187) Prec@5 58.594 (62.041)
Epoch: [7][3310/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 3.1161 (2.9526) Prec@1 33.594 (36.190) Prec@5 57.422 (62.045)
Epoch: [7][3320/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.8962 (2.9525) Prec@1 37.500 (36.191) Prec@5 60.156 (62.046)
Epoch: [7][3330/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.8637 (2.9523) Prec@1 33.984 (36.191) Prec@5 62.109 (62.047)
Epoch: [7][3340/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8351 (2.9520) Prec@1 37.500 (36.196) Prec@5 60.156 (62.051)
Epoch: [7][3350/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.0996 (2.9519) Prec@1 32.812 (36.195) Prec@5 60.547 (62.052)
Epoch: [7][3360/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9897 (2.9516) Prec@1 38.281 (36.203) Prec@5 61.719 (62.056)
Epoch: [7][3370/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 3.3571 (2.9515) Prec@1 32.422 (36.206) Prec@5 54.688 (62.060)
Epoch: [7][3380/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.8901 (2.9514) Prec@1 35.938 (36.210) Prec@5 62.109 (62.063)
Epoch: [7][3390/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7599 (2.9510) Prec@1 41.016 (36.218) Prec@5 64.453 (62.069)
Epoch: [7][3400/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1689 (2.9506) Prec@1 31.641 (36.222) Prec@5 60.156 (62.078)
Epoch: [7][3410/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8887 (2.9505) Prec@1 35.547 (36.222) Prec@5 61.328 (62.076)
Epoch: [7][3420/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7147 (2.9502) Prec@1 43.359 (36.231) Prec@5 67.969 (62.082)
Epoch: [7][3430/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.9602 (2.9501) Prec@1 34.375 (36.235) Prec@5 64.453 (62.085)
Epoch: [7][3440/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.8010 (2.9499) Prec@1 37.109 (36.237) Prec@5 64.062 (62.090)
Epoch: [7][3450/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7396 (2.9498) Prec@1 40.234 (36.238) Prec@5 64.844 (62.092)
Epoch: [7][3460/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 3.0580 (2.9498) Prec@1 37.109 (36.239) Prec@5 64.062 (62.095)
Epoch: [7][3470/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7659 (2.9497) Prec@1 41.016 (36.243) Prec@5 64.062 (62.094)
Epoch: [7][3480/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7012 (2.9496) Prec@1 40.625 (36.245) Prec@5 64.062 (62.094)
Epoch: [7][3490/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 3.1715 (2.9496) Prec@1 31.250 (36.245) Prec@5 60.938 (62.092)
Epoch: [7][3500/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6215 (2.9494) Prec@1 39.062 (36.245) Prec@5 64.453 (62.093)
Epoch: [7][3510/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.9369 (2.9494) Prec@1 37.109 (36.246) Prec@5 60.547 (62.095)
Epoch: [7][3520/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6840 (2.9491) Prec@1 40.625 (36.249) Prec@5 65.234 (62.098)
Epoch: [7][3530/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9099 (2.9489) Prec@1 38.672 (36.254) Prec@5 64.062 (62.102)
Epoch: [7][3540/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.8113 (2.9490) Prec@1 39.844 (36.252) Prec@5 67.969 (62.098)
Epoch: [7][3550/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8816 (2.9489) Prec@1 39.453 (36.257) Prec@5 61.328 (62.096)
Epoch: [7][3560/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.0017 (2.9488) Prec@1 36.328 (36.261) Prec@5 62.109 (62.099)
Epoch: [7][3570/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8643 (2.9487) Prec@1 38.672 (36.265) Prec@5 64.062 (62.102)
Epoch: [7][3580/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9120 (2.9486) Prec@1 33.594 (36.264) Prec@5 65.625 (62.102)
Epoch: [7][3590/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.8656 (2.9487) Prec@1 37.500 (36.264) Prec@5 63.281 (62.100)
Epoch: [7][3600/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7443 (2.9485) Prec@1 39.844 (36.271) Prec@5 64.844 (62.104)
Epoch: [7][3610/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 3.0099 (2.9485) Prec@1 34.375 (36.267) Prec@5 64.062 (62.103)
Epoch: [7][3620/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.9430 (2.9485) Prec@1 33.984 (36.267) Prec@5 60.938 (62.102)
Epoch: [7][3630/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.9923 (2.9482) Prec@1 35.938 (36.270) Prec@5 60.547 (62.106)
Epoch: [7][3640/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9116 (2.9482) Prec@1 35.938 (36.270) Prec@5 64.062 (62.106)
Epoch: [7][3650/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7739 (2.9483) Prec@1 35.156 (36.268) Prec@5 66.797 (62.107)
Epoch: [7][3660/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 3.0426 (2.9478) Prec@1 32.812 (36.274) Prec@5 60.547 (62.114)
Epoch: [7][3670/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 2.8425 (2.9476) Prec@1 35.547 (36.275) Prec@5 62.891 (62.121)
Epoch: [7][3680/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.1300 (2.9476) Prec@1 33.594 (36.273) Prec@5 59.766 (62.121)
Epoch: [7][3690/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8701 (2.9476) Prec@1 37.109 (36.271) Prec@5 60.547 (62.121)
Epoch: [7][3700/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7861 (2.9476) Prec@1 36.328 (36.272) Prec@5 63.281 (62.122)
Epoch: [7][3710/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6091 (2.9474) Prec@1 40.625 (36.276) Prec@5 66.797 (62.125)
Epoch: [7][3720/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7760 (2.9473) Prec@1 37.891 (36.277) Prec@5 64.453 (62.128)
Epoch: [7][3730/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.0539 (2.9471) Prec@1 35.547 (36.281) Prec@5 58.203 (62.133)
Epoch: [7][3740/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9494 (2.9471) Prec@1 33.984 (36.280) Prec@5 62.891 (62.134)
Epoch: [7][3750/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.9269 (2.9470) Prec@1 37.891 (36.283) Prec@5 62.500 (62.134)
Epoch: [7][3760/5005] Time 0.607 (0.614) Data 0.001 (0.002) Loss 3.0051 (2.9470) Prec@1 38.281 (36.285) Prec@5 61.719 (62.135)
Epoch: [7][3770/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6261 (2.9469) Prec@1 38.281 (36.286) Prec@5 66.406 (62.139)
Epoch: [7][3780/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.7954 (2.9466) Prec@1 39.844 (36.288) Prec@5 67.969 (62.144)
Epoch: [7][3790/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.7492 (2.9466) Prec@1 35.547 (36.288) Prec@5 65.234 (62.145)
Epoch: [7][3800/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 2.8293 (2.9467) Prec@1 37.891 (36.287) Prec@5 66.016 (62.142)
Epoch: [7][3810/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.9001 (2.9467) Prec@1 36.328 (36.287) Prec@5 64.062 (62.143)
Epoch: [7][3820/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 2.8863 (2.9465) Prec@1 41.406 (36.292) Prec@5 61.328 (62.145)
Epoch: [7][3830/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.9442 (2.9465) Prec@1 36.719 (36.294) Prec@5 65.234 (62.145)
Epoch: [7][3840/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.7911 (2.9465) Prec@1 39.844 (36.295) Prec@5 66.797 (62.148)
Epoch: [7][3850/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.8358 (2.9461) Prec@1 39.062 (36.303) Prec@5 64.453 (62.155)
Epoch: [7][3860/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.9622 (2.9461) Prec@1 34.766 (36.303) Prec@5 61.328 (62.156)
Epoch: [7][3870/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.9890 (2.9461) Prec@1 33.203 (36.303) Prec@5 62.891 (62.157)
Epoch: [7][3880/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.7746 (2.9459) Prec@1 39.062 (36.306) Prec@5 64.453 (62.160)
Epoch: [7][3890/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.8427 (2.9458) Prec@1 38.281 (36.307) Prec@5 66.797 (62.162)
Epoch: [7][3900/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8199 (2.9457) Prec@1 38.672 (36.307) Prec@5 61.328 (62.161)
Epoch: [7][3910/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.7303 (2.9455) Prec@1 39.844 (36.312) Prec@5 67.578 (62.167)
Epoch: [7][3920/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 3.0378 (2.9455) Prec@1 32.422 (36.313) Prec@5 58.203 (62.166)
Epoch: [7][3930/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.7514 (2.9454) Prec@1 39.062 (36.316) Prec@5 66.016 (62.170)
Epoch: [7][3940/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8227 (2.9452) Prec@1 41.797 (36.317) Prec@5 66.406 (62.173)
Epoch: [7][3950/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8368 (2.9450) Prec@1 36.719 (36.319) Prec@5 64.453 (62.178)
Epoch: [7][3960/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.6648 (2.9448) Prec@1 42.188 (36.324) Prec@5 66.406 (62.182)
Epoch: [7][3970/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.8381 (2.9447) Prec@1 35.547 (36.321) Prec@5 61.719 (62.182)
Epoch: [7][3980/5005] Time 0.599 (0.614) Data 0.001 (0.002) Loss 2.8064 (2.9447) Prec@1 40.625 (36.322) Prec@5 67.578 (62.184)
Epoch: [7][3990/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.7507 (2.9447) Prec@1 35.938 (36.325) Prec@5 62.500 (62.185)
Epoch: [7][4000/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.8229 (2.9445) Prec@1 39.062 (36.332) Prec@5 64.062 (62.187)
Epoch: [7][4010/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.0132 (2.9445) Prec@1 32.422 (36.331) Prec@5 63.281 (62.185)
Epoch: [7][4020/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.9779 (2.9444) Prec@1 37.500 (36.336) Prec@5 62.500 (62.188)
Epoch: [7][4030/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9627 (2.9445) Prec@1 35.156 (36.335) Prec@5 61.719 (62.187)
Epoch: [7][4040/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.7162 (2.9443) Prec@1 34.766 (36.336) Prec@5 68.359 (62.192)
Epoch: [7][4050/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.7472 (2.9442) Prec@1 39.844 (36.338) Prec@5 66.016 (62.193)
Epoch: [7][4060/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8567 (2.9441) Prec@1 37.109 (36.340) Prec@5 66.797 (62.195)
Epoch: [7][4070/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.8289 (2.9440) Prec@1 34.375 (36.341) Prec@5 64.453 (62.198)
Epoch: [7][4080/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.9181 (2.9438) Prec@1 34.766 (36.344) Prec@5 60.938 (62.202)
Epoch: [7][4090/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 2.8980 (2.9438) Prec@1 38.672 (36.346) Prec@5 61.328 (62.201)
Epoch: [7][4100/5005] Time 0.610 (0.614) Data 0.001 (0.002) Loss 2.8711 (2.9438) Prec@1 34.375 (36.345) Prec@5 66.016 (62.201)
Epoch: [7][4110/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.8562 (2.9436) Prec@1 40.625 (36.347) Prec@5 66.406 (62.205)
Epoch: [7][4120/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.8572 (2.9435) Prec@1 36.328 (36.350) Prec@5 64.844 (62.207)
Epoch: [7][4130/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8867 (2.9434) Prec@1 32.422 (36.349) Prec@5 62.891 (62.209)
Epoch: [7][4140/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.6796 (2.9433) Prec@1 41.797 (36.350) Prec@5 67.969 (62.207)
Epoch: [7][4150/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.9779 (2.9431) Prec@1 39.453 (36.359) Prec@5 64.844 (62.210)
Epoch: [7][4160/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.0040 (2.9428) Prec@1 37.500 (36.363) Prec@5 62.500 (62.212)
Epoch: [7][4170/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.9158 (2.9426) Prec@1 34.375 (36.369) Prec@5 62.109 (62.217)
Epoch: [7][4180/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 3.0787 (2.9425) Prec@1 35.547 (36.371) Prec@5 58.203 (62.217)
Epoch: [7][4190/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.9964 (2.9422) Prec@1 36.328 (36.376) Prec@5 62.500 (62.221)
Epoch: [7][4200/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.7249 (2.9421) Prec@1 37.500 (36.379) Prec@5 66.406 (62.223)
Epoch: [7][4210/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.7822 (2.9419) Prec@1 38.672 (36.383) Prec@5 64.453 (62.224)
Epoch: [7][4220/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 3.0697 (2.9420) Prec@1 40.625 (36.386) Prec@5 60.547 (62.225)
Epoch: [7][4230/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.9030 (2.9419) Prec@1 32.031 (36.386) Prec@5 63.281 (62.226)
Epoch: [7][4240/5005] Time 0.609 (0.614) Data 0.001 (0.002) Loss 2.9401 (2.9418) Prec@1 35.156 (36.387) Prec@5 62.891 (62.227)
Epoch: [7][4250/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.7917 (2.9418) Prec@1 34.766 (36.385) Prec@5 66.797 (62.226)
Epoch: [7][4260/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 3.0165 (2.9420) Prec@1 35.156 (36.383) Prec@5 65.234 (62.222)
Epoch: [7][4270/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 3.0542 (2.9420) Prec@1 36.328 (36.384) Prec@5 61.328 (62.223)
Epoch: [7][4280/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.9642 (2.9419) Prec@1 35.547 (36.384) Prec@5 60.547 (62.224)
Epoch: [7][4290/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8412 (2.9419) Prec@1 38.672 (36.384) Prec@5 62.891 (62.226)
Epoch: [7][4300/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.8282 (2.9416) Prec@1 36.328 (36.389) Prec@5 62.891 (62.230)
Epoch: [7][4310/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.9201 (2.9417) Prec@1 33.203 (36.387) Prec@5 61.328 (62.227)
Epoch: [7][4320/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.8860 (2.9416) Prec@1 35.156 (36.386) Prec@5 64.453 (62.228)
Epoch: [7][4330/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.0794 (2.9414) Prec@1 36.328 (36.389) Prec@5 62.109 (62.233)
Epoch: [7][4340/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7384 (2.9413) Prec@1 41.797 (36.390) Prec@5 62.891 (62.236)
Epoch: [7][4350/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.9834 (2.9413) Prec@1 29.688 (36.391) Prec@5 62.109 (62.235)
Epoch: [7][4360/5005] Time 0.624 (0.614) Data 0.000 (0.001) Loss 2.9806 (2.9411) Prec@1 35.938 (36.395) Prec@5 62.891 (62.239)
Epoch: [7][4370/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 2.7555 (2.9412) Prec@1 37.891 (36.393) Prec@5 64.453 (62.237)
Epoch: [7][4380/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 3.3907 (2.9413) Prec@1 33.984 (36.390) Prec@5 56.250 (62.236)
Epoch: [7][4390/5005] Time 0.614 (0.614) Data 0.001 (0.001) Loss 2.5494 (2.9411) Prec@1 40.625 (36.395) Prec@5 67.188 (62.240)
Epoch: [7][4400/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9152 (2.9409) Prec@1 36.719 (36.400) Prec@5 62.500 (62.244)
Epoch: [7][4410/5005] Time 0.607 (0.614) Data 0.001 (0.001) Loss 2.7824 (2.9406) Prec@1 40.234 (36.403) Prec@5 66.406 (62.250)
Epoch: [7][4420/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.8672 (2.9404) Prec@1 39.844 (36.407) Prec@5 61.328 (62.254)
Epoch: [7][4430/5005] Time 0.621 (0.614) Data 0.001 (0.001) Loss 2.7166 (2.9403) Prec@1 39.062 (36.410) Prec@5 65.234 (62.259)
Epoch: [7][4440/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 2.7424 (2.9402) Prec@1 39.062 (36.412) Prec@5 64.453 (62.261)
Epoch: [7][4450/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.6069 (2.9400) Prec@1 41.797 (36.416) Prec@5 69.922 (62.263)
Epoch: [7][4460/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.1664 (2.9400) Prec@1 32.812 (36.415) Prec@5 56.250 (62.261)
Epoch: [7][4470/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.7248 (2.9398) Prec@1 39.453 (36.420) Prec@5 67.578 (62.266)
Epoch: [7][4480/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.9511 (2.9395) Prec@1 35.938 (36.425) Prec@5 62.891 (62.270)
Epoch: [7][4490/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0109 (2.9395) Prec@1 35.156 (36.424) Prec@5 58.594 (62.271)
Epoch: [7][4500/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.8122 (2.9396) Prec@1 37.109 (36.424) Prec@5 64.844 (62.269)
Epoch: [7][4510/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.9070 (2.9395) Prec@1 36.719 (36.424) Prec@5 62.109 (62.270)
Epoch: [7][4520/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 3.1966 (2.9395) Prec@1 32.812 (36.426) Prec@5 55.078 (62.271)
Epoch: [7][4530/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9504 (2.9393) Prec@1 36.328 (36.429) Prec@5 60.156 (62.275)
Epoch: [7][4540/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 3.1176 (2.9392) Prec@1 31.250 (36.428) Prec@5 58.984 (62.278)
Epoch: [7][4550/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 3.0170 (2.9392) Prec@1 34.375 (36.430) Prec@5 61.328 (62.278)
Epoch: [7][4560/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.9346 (2.9392) Prec@1 33.203 (36.431) Prec@5 57.422 (62.279)
Epoch: [7][4570/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 3.0013 (2.9390) Prec@1 35.547 (36.435) Prec@5 63.281 (62.286)
Epoch: [7][4580/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7996 (2.9388) Prec@1 37.109 (36.438) Prec@5 64.844 (62.288)
Epoch: [7][4590/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.8183 (2.9386) Prec@1 38.672 (36.441) Prec@5 65.234 (62.292)
Epoch: [7][4600/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9135 (2.9382) Prec@1 37.891 (36.446) Prec@5 63.281 (62.302)
Epoch: [7][4610/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.9046 (2.9380) Prec@1 37.109 (36.445) Prec@5 61.328 (62.305)
Epoch: [7][4620/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8681 (2.9379) Prec@1 35.938 (36.445) Prec@5 60.938 (62.304)
Epoch: [7][4630/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0343 (2.9379) Prec@1 32.422 (36.446) Prec@5 63.281 (62.306)
Epoch: [7][4640/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 3.1309 (2.9380) Prec@1 35.938 (36.447) Prec@5 60.547 (62.306)
Epoch: [7][4650/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7951 (2.9379) Prec@1 39.453 (36.451) Prec@5 65.234 (62.310)
Epoch: [7][4660/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.8485 (2.9378) Prec@1 44.922 (36.456) Prec@5 66.016 (62.312)
Epoch: [7][4670/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.8178 (2.9378) Prec@1 37.891 (36.459) Prec@5 63.672 (62.313)
Epoch: [7][4680/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0779 (2.9378) Prec@1 32.422 (36.458) Prec@5 57.031 (62.314)
Epoch: [7][4690/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.7900 (2.9376) Prec@1 34.766 (36.460) Prec@5 65.625 (62.318)
Epoch: [7][4700/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.8900 (2.9377) Prec@1 37.500 (36.460) Prec@5 60.547 (62.317)
Epoch: [7][4710/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 3.0223 (2.9375) Prec@1 35.547 (36.463) Prec@5 58.203 (62.321)
Epoch: [7][4720/5005] Time 0.618 (0.614) Data 0.001 (0.001) Loss 2.8585 (2.9375) Prec@1 41.016 (36.465) Prec@5 64.844 (62.322)
Epoch: [7][4730/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.8243 (2.9373) Prec@1 39.453 (36.468) Prec@5 62.891 (62.326)
Epoch: [7][4740/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 2.9093 (2.9374) Prec@1 36.328 (36.467) Prec@5 59.375 (62.323)
Epoch: [7][4750/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.9420 (2.9372) Prec@1 37.500 (36.472) Prec@5 60.156 (62.325)
Epoch: [7][4760/5005] Time 0.599 (0.614) Data 0.000 (0.001) Loss 2.8842 (2.9371) Prec@1 36.719 (36.473) Prec@5 62.891 (62.330)
Epoch: [7][4770/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.7870 (2.9370) Prec@1 37.109 (36.474) Prec@5 64.062 (62.331)
Epoch: [7][4780/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.7524 (2.9368) Prec@1 38.672 (36.476) Prec@5 69.141 (62.333)
Epoch: [7][4790/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7438 (2.9369) Prec@1 39.453 (36.476) Prec@5 66.406 (62.333)
Epoch: [7][4800/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.8716 (2.9368) Prec@1 39.453 (36.478) Prec@5 66.406 (62.336)
Epoch: [7][4810/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 2.7109 (2.9366) Prec@1 40.625 (36.483) Prec@5 67.188 (62.341)
Epoch: [7][4820/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 3.0462 (2.9365) Prec@1 33.203 (36.486) Prec@5 58.984 (62.343)
Epoch: [7][4830/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.9403 (2.9362) Prec@1 35.156 (36.490) Prec@5 62.500 (62.349)
Epoch: [7][4840/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.1050 (2.9362) Prec@1 37.109 (36.491) Prec@5 62.500 (62.348)
Epoch: [7][4850/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8208 (2.9360) Prec@1 39.453 (36.495) Prec@5 65.625 (62.351)
Epoch: [7][4860/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.6553 (2.9359) Prec@1 41.016 (36.497) Prec@5 67.578 (62.354)
Epoch: [7][4870/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8425 (2.9357) Prec@1 41.016 (36.502) Prec@5 64.453 (62.357)
Epoch: [7][4880/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 3.1009 (2.9356) Prec@1 30.078 (36.502) Prec@5 57.812 (62.358)
Epoch: [7][4890/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.9780 (2.9355) Prec@1 36.328 (36.505) Prec@5 62.891 (62.362)
Epoch: [7][4900/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0593 (2.9355) Prec@1 33.984 (36.505) Prec@5 60.938 (62.363)
Epoch: [7][4910/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 3.0982 (2.9355) Prec@1 30.078 (36.508) Prec@5 58.984 (62.362)
Epoch: [7][4920/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.7814 (2.9355) Prec@1 40.625 (36.506) Prec@5 66.797 (62.363)
Epoch: [7][4930/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 3.0765 (2.9354) Prec@1 33.984 (36.506) Prec@5 59.375 (62.367)
Epoch: [7][4940/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.7820 (2.9351) Prec@1 35.938 (36.511) Prec@5 64.062 (62.373)
Epoch: [7][4950/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6075 (2.9350) Prec@1 39.062 (36.514) Prec@5 67.578 (62.374)
Epoch: [7][4960/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 3.0646 (2.9348) Prec@1 34.375 (36.519) Prec@5 58.594 (62.376)
Epoch: [7][4970/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7243 (2.9347) Prec@1 39.453 (36.519) Prec@5 68.750 (62.378)
Epoch: [7][4980/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8952 (2.9347) Prec@1 34.375 (36.520) Prec@5 65.234 (62.380)
Epoch: [7][4990/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 3.0322 (2.9345) Prec@1 34.766 (36.522) Prec@5 59.766 (62.381)
Epoch: [7][5000/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.9084 (2.9345) Prec@1 34.766 (36.523) Prec@5 62.891 (62.382)
Test: [0/196] Time 5.217 (5.217) Loss 1.3146 (1.3146) Prec@1 63.281 (63.281) Prec@5 88.281 (88.281)
Test: [10/196] Time 0.202 (0.661) Loss 2.1947 (1.7883) Prec@1 42.578 (55.433) Prec@5 77.734 (81.428)
Test: [20/196] Time 0.203 (0.443) Loss 1.9316 (1.8019) Prec@1 60.156 (56.417) Prec@5 77.344 (80.673)
Test: [30/196] Time 0.211 (0.368) Loss 1.6992 (1.7854) Prec@1 52.734 (56.880) Prec@5 85.156 (80.847)
Test: [40/196] Time 0.201 (0.327) Loss 2.1596 (1.8491) Prec@1 44.531 (53.763) Prec@5 76.562 (80.631)
Test: [50/196] Time 0.205 (0.303) Loss 1.5033 (1.8239) Prec@1 64.062 (53.853) Prec@5 87.109 (81.334)
Test: [60/196] Time 0.202 (0.288) Loss 2.3130 (1.8215) Prec@1 44.922 (53.644) Prec@5 78.125 (81.692)
Test: [70/196] Time 0.202 (0.276) Loss 1.8082 (1.8123) Prec@1 56.641 (54.143) Prec@5 79.297 (81.740)
Test: [80/196] Time 0.211 (0.267) Loss 2.8626 (1.8474) Prec@1 39.453 (53.728) Prec@5 62.109 (81.149)
Test: [90/196] Time 0.205 (0.260) Loss 3.1814 (1.9482) Prec@1 36.719 (52.155) Prec@5 58.984 (79.520)
Test: [100/196] Time 0.210 (0.255) Loss 3.4131 (2.0391) Prec@1 22.656 (50.688) Prec@5 57.422 (77.935)
Test: [110/196] Time 0.203 (0.250) Loss 2.1413 (2.0769) Prec@1 55.859 (50.278) Prec@5 70.703 (77.312)
Test: [120/196] Time 0.201 (0.246) Loss 3.0033 (2.1143) Prec@1 39.844 (49.910) Prec@5 62.109 (76.530)
Test: [130/196] Time 0.202 (0.243) Loss 2.2570 (2.1560) Prec@1 47.266 (49.147) Prec@5 71.484 (75.895)
Test: [140/196] Time 0.205 (0.241) Loss 2.4613 (2.1934) Prec@1 48.438 (48.590) Prec@5 70.703 (75.235)
Test: [150/196] Time 0.209 (0.238) Loss 2.5742 (2.2335) Prec@1 46.875 (48.003) Prec@5 69.141 (74.506)
Test: [160/196] Time 0.202 (0.236) Loss 2.2916 (2.2608) Prec@1 49.609 (47.600) Prec@5 72.656 (74.020)
Test: [170/196] Time 0.203 (0.235) Loss 1.7234 (2.2887) Prec@1 54.688 (47.010) Prec@5 83.203 (73.565)
Test: [180/196] Time 0.202 (0.233) Loss 2.0134 (2.3115) Prec@1 51.562 (46.705) Prec@5 80.078 (73.209)
Test: [190/196] Time 0.201 (0.231) Loss 2.0619 (2.3060) Prec@1 47.266 (46.787) Prec@5 80.859 (73.300)
* Prec@1 47.072 Prec@5 73.436
Epoch: [8][0/5005] Time 4.115 (4.115) Data 3.853 (3.853) Loss 2.8794 (2.8794) Prec@1 35.938 (35.938) Prec@5 62.500 (62.500)
Epoch: [8][10/5005] Time 0.632 (0.950) Data 0.000 (0.405) Loss 2.9990 (2.8714) Prec@1 35.938 (37.074) Prec@5 61.328 (63.175)
Epoch: [8][20/5005] Time 0.586 (0.787) Data 0.000 (0.213) Loss 2.7795 (2.8624) Prec@1 39.453 (37.686) Prec@5 64.844 (63.318)
Epoch: [8][30/5005] Time 0.623 (0.731) Data 0.000 (0.144) Loss 2.8295 (2.8537) Prec@1 34.766 (38.080) Prec@5 63.281 (63.647)
Epoch: [8][40/5005] Time 0.613 (0.701) Data 0.000 (0.109) Loss 2.7884 (2.8402) Prec@1 37.891 (38.167) Prec@5 66.016 (63.824)
Epoch: [8][50/5005] Time 0.610 (0.684) Data 0.000 (0.088) Loss 2.7843 (2.8442) Prec@1 38.672 (38.105) Prec@5 64.844 (63.863)
Epoch: [8][60/5005] Time 0.605 (0.673) Data 0.000 (0.073) Loss 2.8311 (2.8369) Prec@1 39.453 (38.268) Prec@5 63.281 (63.966)
Epoch: [8][70/5005] Time 0.612 (0.665) Data 0.000 (0.063) Loss 2.6445 (2.8337) Prec@1 40.234 (38.116) Prec@5 69.922 (64.051)
Epoch: [8][80/5005] Time 0.619 (0.658) Data 0.000 (0.055) Loss 2.8929 (2.8449) Prec@1 33.984 (38.030) Prec@5 61.719 (63.845)
Epoch: [8][90/5005] Time 0.613 (0.653) Data 0.000 (0.049) Loss 2.8292 (2.8378) Prec@1 39.453 (38.183) Prec@5 65.234 (63.921)
Epoch: [8][100/5005] Time 0.607 (0.649) Data 0.000 (0.045) Loss 2.5918 (2.8321) Prec@1 45.312 (38.301) Prec@5 69.531 (63.977)
Epoch: [8][110/5005] Time 0.610 (0.646) Data 0.000 (0.041) Loss 2.6349 (2.8322) Prec@1 42.578 (38.274) Prec@5 67.578 (64.154)
Epoch: [8][120/5005] Time 0.614 (0.643) Data 0.000 (0.037) Loss 2.6718 (2.8259) Prec@1 38.672 (38.291) Prec@5 66.016 (64.282)
Epoch: [8][130/5005] Time 0.608 (0.641) Data 0.000 (0.034) Loss 2.8176 (2.8220) Prec@1 41.797 (38.350) Prec@5 65.234 (64.382)
Epoch: [8][140/5005] Time 0.614 (0.639) Data 0.000 (0.032) Loss 2.6514 (2.8140) Prec@1 39.844 (38.461) Prec@5 66.406 (64.506)
Epoch: [8][150/5005] Time 0.617 (0.637) Data 0.000 (0.030) Loss 2.7229 (2.8166) Prec@1 41.406 (38.405) Prec@5 62.500 (64.492)
Epoch: [8][160/5005] Time 0.615 (0.636) Data 0.000 (0.028) Loss 3.1447 (2.8202) Prec@1 32.812 (38.376) Prec@5 60.156 (64.487)
Epoch: [8][170/5005] Time 0.613 (0.635) Data 0.000 (0.026) Loss 3.0402 (2.8226) Prec@1 36.328 (38.368) Prec@5 63.672 (64.517)
Epoch: [8][180/5005] Time 0.619 (0.633) Data 0.000 (0.025) Loss 2.8056 (2.8205) Prec@1 44.141 (38.434) Prec@5 62.109 (64.498)
Epoch: [8][190/5005] Time 0.613 (0.632) Data 0.000 (0.024) Loss 2.7868 (2.8221) Prec@1 37.500 (38.379) Prec@5 65.625 (64.455)
Epoch: [8][200/5005] Time 0.615 (0.631) Data 0.000 (0.023) Loss 3.1260 (2.8238) Prec@1 39.844 (38.402) Prec@5 61.328 (64.453)
Epoch: [8][210/5005] Time 0.621 (0.630) Data 0.000 (0.022) Loss 2.9595 (2.8257) Prec@1 37.500 (38.346) Prec@5 60.938 (64.418)
Epoch: [8][220/5005] Time 0.615 (0.630) Data 0.000 (0.021) Loss 2.8723 (2.8283) Prec@1 35.938 (38.364) Prec@5 61.719 (64.365)
Epoch: [8][230/5005] Time 0.612 (0.629) Data 0.000 (0.020) Loss 2.7596 (2.8290) Prec@1 41.406 (38.322) Prec@5 65.234 (64.369)
Epoch: [8][240/5005] Time 0.621 (0.628) Data 0.000 (0.019) Loss 2.9044 (2.8300) Prec@1 37.109 (38.249) Prec@5 62.891 (64.320)
Epoch: [8][250/5005] Time 0.617 (0.628) Data 0.000 (0.018) Loss 2.8358 (2.8293) Prec@1 37.500 (38.241) Prec@5 62.500 (64.318)
Epoch: [8][260/5005] Time 0.609 (0.627) Data 0.000 (0.018) Loss 2.7107 (2.8288) Prec@1 43.359 (38.254) Prec@5 66.406 (64.303)
Epoch: [8][270/5005] Time 0.608 (0.627) Data 0.000 (0.017) Loss 2.6751 (2.8266) Prec@1 38.672 (38.310) Prec@5 67.578 (64.359)
Epoch: [8][280/5005] Time 0.611 (0.626) Data 0.000 (0.016) Loss 2.7804 (2.8271) Prec@1 44.141 (38.313) Prec@5 63.672 (64.381)
Epoch: [8][290/5005] Time 0.620 (0.626) Data 0.000 (0.016) Loss 2.7806 (2.8267) Prec@1 39.062 (38.315) Prec@5 66.797 (64.381)
Epoch: [8][300/5005] Time 0.610 (0.625) Data 0.000 (0.015) Loss 2.7018 (2.8251) Prec@1 40.625 (38.351) Prec@5 66.406 (64.404)
Epoch: [8][310/5005] Time 0.612 (0.625) Data 0.000 (0.015) Loss 2.6319 (2.8260) Prec@1 39.453 (38.315) Prec@5 65.625 (64.408)
Epoch: [8][320/5005] Time 0.615 (0.625) Data 0.000 (0.014) Loss 2.6667 (2.8258) Prec@1 42.188 (38.326) Prec@5 67.188 (64.417)
Epoch: [8][330/5005] Time 0.614 (0.624) Data 0.000 (0.014) Loss 2.5698 (2.8227) Prec@1 43.359 (38.417) Prec@5 68.359 (64.461)
Epoch: [8][340/5005] Time 0.605 (0.624) Data 0.000 (0.013) Loss 2.9168 (2.8229) Prec@1 32.422 (38.366) Prec@5 64.062 (64.445)
Epoch: [8][350/5005] Time 0.608 (0.624) Data 0.000 (0.013) Loss 2.8884 (2.8222) Prec@1 37.500 (38.391) Prec@5 66.797 (64.448)
Epoch: [8][360/5005] Time 0.612 (0.623) Data 0.000 (0.013) Loss 2.8323 (2.8228) Prec@1 40.625 (38.395) Prec@5 61.719 (64.439)
Epoch: [8][370/5005] Time 0.611 (0.623) Data 0.000 (0.012) Loss 3.1081 (2.8241) Prec@1 33.984 (38.373) Prec@5 60.938 (64.409)
Epoch: [8][380/5005] Time 0.610 (0.623) Data 0.000 (0.012) Loss 2.7955 (2.8231) Prec@1 39.062 (38.393) Prec@5 64.844 (64.419)
Epoch: [8][390/5005] Time 0.614 (0.623) Data 0.000 (0.012) Loss 2.7646 (2.8228) Prec@1 42.188 (38.437) Prec@5 62.109 (64.418)
Epoch: [8][400/5005] Time 0.620 (0.622) Data 0.000 (0.012) Loss 2.8208 (2.8218) Prec@1 38.281 (38.441) Prec@5 63.672 (64.418)
Epoch: [8][410/5005] Time 0.615 (0.622) Data 0.000 (0.011) Loss 3.1952 (2.8205) Prec@1 32.812 (38.474) Prec@5 60.156 (64.440)
Epoch: [8][420/5005] Time 0.605 (0.622) Data 0.000 (0.011) Loss 2.6636 (2.8184) Prec@1 39.062 (38.506) Prec@5 67.578 (64.472)
Epoch: [8][430/5005] Time 0.613 (0.622) Data 0.000 (0.011) Loss 2.8576 (2.8184) Prec@1 39.062 (38.493) Prec@5 61.719 (64.463)
Epoch: [8][440/5005] Time 0.615 (0.622) Data 0.000 (0.011) Loss 2.9825 (2.8180) Prec@1 32.422 (38.484) Prec@5 62.891 (64.475)
Epoch: [8][450/5005] Time 0.608 (0.622) Data 0.000 (0.010) Loss 2.9155 (2.8205) Prec@1 37.109 (38.437) Prec@5 62.891 (64.419)
Epoch: [8][460/5005] Time 0.613 (0.621) Data 0.000 (0.010) Loss 2.8349 (2.8214) Prec@1 34.375 (38.441) Prec@5 64.453 (64.402)
Epoch: [8][470/5005] Time 0.616 (0.621) Data 0.000 (0.010) Loss 2.8384 (2.8209) Prec@1 36.719 (38.451) Prec@5 63.672 (64.393)
Epoch: [8][480/5005] Time 0.612 (0.621) Data 0.000 (0.010) Loss 2.8483 (2.8209) Prec@1 42.578 (38.451) Prec@5 62.891 (64.383)
Epoch: [8][490/5005] Time 0.610 (0.621) Data 0.000 (0.010) Loss 2.7447 (2.8207) Prec@1 41.797 (38.506) Prec@5 65.234 (64.392)
Epoch: [8][500/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 3.1421 (2.8222) Prec@1 33.594 (38.483) Prec@5 57.031 (64.366)
Epoch: [8][510/5005] Time 0.616 (0.621) Data 0.000 (0.009) Loss 2.9031 (2.8222) Prec@1 38.281 (38.469) Prec@5 62.500 (64.374)
Epoch: [8][520/5005] Time 0.613 (0.620) Data 0.000 (0.009) Loss 2.8199 (2.8212) Prec@1 41.016 (38.468) Prec@5 64.062 (64.383)
Epoch: [8][530/5005] Time 0.613 (0.620) Data 0.000 (0.009) Loss 2.6621 (2.8195) Prec@1 38.281 (38.505) Prec@5 64.453 (64.419)
Epoch: [8][540/5005] Time 0.611 (0.620) Data 0.000 (0.009) Loss 2.8101 (2.8203) Prec@1 36.328 (38.473) Prec@5 62.891 (64.400)
Epoch: [8][550/5005] Time 0.611 (0.620) Data 0.000 (0.009) Loss 2.6782 (2.8190) Prec@1 45.312 (38.502) Prec@5 66.406 (64.403)
Epoch: [8][560/5005] Time 0.617 (0.620) Data 0.000 (0.008) Loss 2.7324 (2.8196) Prec@1 39.844 (38.492) Prec@5 64.844 (64.411)
Epoch: [8][570/5005] Time 0.609 (0.620) Data 0.000 (0.008) Loss 3.0154 (2.8196) Prec@1 34.375 (38.487) Prec@5 60.938 (64.405)
Epoch: [8][580/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 3.0154 (2.8209) Prec@1 38.281 (38.448) Prec@5 62.500 (64.389)
Epoch: [8][590/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 2.6562 (2.8192) Prec@1 42.969 (38.484) Prec@5 65.625 (64.413)
Epoch: [8][600/5005] Time 0.622 (0.619) Data 0.000 (0.008) Loss 2.9319 (2.8194) Prec@1 37.500 (38.485) Prec@5 61.328 (64.406)
Epoch: [8][610/5005] Time 0.609 (0.619) Data 0.000 (0.008) Loss 2.9686 (2.8190) Prec@1 32.031 (38.467) Prec@5 63.672 (64.412)
Epoch: [8][620/5005] Time 0.614 (0.619) Data 0.000 (0.008) Loss 2.9223 (2.8198) Prec@1 39.453 (38.461) Prec@5 64.844 (64.412)
Epoch: [8][630/5005] Time 0.610 (0.619) Data 0.000 (0.008) Loss 2.7817 (2.8209) Prec@1 39.062 (38.432) Prec@5 65.234 (64.389)
Epoch: [8][640/5005] Time 0.620 (0.619) Data 0.000 (0.007) Loss 2.6934 (2.8210) Prec@1 44.922 (38.438) Prec@5 64.453 (64.401)
Epoch: [8][650/5005] Time 0.614 (0.619) Data 0.001 (0.007) Loss 2.8980 (2.8207) Prec@1 38.281 (38.440) Prec@5 59.766 (64.412)
Epoch: [8][660/5005] Time 0.606 (0.619) Data 0.000 (0.007) Loss 2.9504 (2.8202) Prec@1 38.672 (38.444) Prec@5 62.891 (64.405)
Epoch: [8][670/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.7421 (2.8209) Prec@1 40.625 (38.443) Prec@5 67.969 (64.398)
Epoch: [8][680/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.8532 (2.8216) Prec@1 38.672 (38.437) Prec@5 65.234 (64.395)
Epoch: [8][690/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.9501 (2.8226) Prec@1 35.938 (38.423) Prec@5 59.766 (64.381)
Epoch: [8][700/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.9573 (2.8228) Prec@1 34.375 (38.432) Prec@5 62.891 (64.376)
Epoch: [8][710/5005] Time 0.622 (0.619) Data 0.000 (0.007) Loss 2.9530 (2.8231) Prec@1 32.031 (38.447) Prec@5 64.062 (64.373)
Epoch: [8][720/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 2.8543 (2.8237) Prec@1 34.375 (38.424) Prec@5 60.547 (64.366)
Epoch: [8][730/5005] Time 0.611 (0.618) Data 0.000 (0.007) Loss 2.7140 (2.8239) Prec@1 40.234 (38.414) Prec@5 64.844 (64.365)
Epoch: [8][740/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 2.7352 (2.8239) Prec@1 35.547 (38.420) Prec@5 65.234 (64.353)
Epoch: [8][750/5005] Time 0.601 (0.618) Data 0.000 (0.006) Loss 2.7629 (2.8241) Prec@1 35.938 (38.407) Prec@5 64.453 (64.342)
Epoch: [8][760/5005] Time 0.607 (0.618) Data 0.000 (0.006) Loss 2.8577 (2.8239) Prec@1 37.500 (38.408) Prec@5 60.547 (64.332)
Epoch: [8][770/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.7254 (2.8241) Prec@1 41.797 (38.383) Prec@5 64.844 (64.337)
Epoch: [8][780/5005] Time 0.621 (0.618) Data 0.000 (0.006) Loss 2.8352 (2.8231) Prec@1 36.719 (38.400) Prec@5 64.062 (64.362)
Epoch: [8][790/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 2.8526 (2.8232) Prec@1 37.500 (38.392) Prec@5 65.625 (64.360)
Epoch: [8][800/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 3.0757 (2.8236) Prec@1 34.766 (38.387) Prec@5 61.719 (64.360)
Epoch: [8][810/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 2.8383 (2.8246) Prec@1 39.453 (38.368) Prec@5 58.984 (64.345)
Epoch: [8][820/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.9163 (2.8246) Prec@1 37.500 (38.380) Prec@5 62.500 (64.342)
Epoch: [8][830/5005] Time 0.606 (0.618) Data 0.000 (0.006) Loss 3.0295 (2.8247) Prec@1 31.641 (38.373) Prec@5 61.719 (64.333)
Epoch: [8][840/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 2.9625 (2.8256) Prec@1 36.328 (38.375) Prec@5 58.203 (64.316)
Epoch: [8][850/5005] Time 0.613 (0.618) Data 0.001 (0.006) Loss 2.7886 (2.8248) Prec@1 40.234 (38.387) Prec@5 62.891 (64.324)
Epoch: [8][860/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 2.8732 (2.8240) Prec@1 36.328 (38.397) Prec@5 63.281 (64.330)
Epoch: [8][870/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.6158 (2.8242) Prec@1 42.188 (38.385) Prec@5 68.359 (64.333)
Epoch: [8][880/5005] Time 0.607 (0.618) Data 0.000 (0.006) Loss 2.6911 (2.8251) Prec@1 42.188 (38.383) Prec@5 66.406 (64.308)
Epoch: [8][890/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.7155 (2.8240) Prec@1 42.578 (38.402) Prec@5 69.531 (64.334)
Epoch: [8][900/5005] Time 0.612 (0.618) Data 0.000 (0.005) Loss 2.6905 (2.8240) Prec@1 38.281 (38.389) Prec@5 68.359 (64.333)
Epoch: [8][910/5005] Time 0.615 (0.618) Data 0.000 (0.005) Loss 2.6569 (2.8226) Prec@1 41.797 (38.412) Prec@5 63.281 (64.348)
Epoch: [8][920/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 2.9091 (2.8231) Prec@1 34.375 (38.407) Prec@5 63.672 (64.345)
Epoch: [8][930/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.8357 (2.8237) Prec@1 40.234 (38.392) Prec@5 62.891 (64.331)
Epoch: [8][940/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.8446 (2.8231) Prec@1 40.234 (38.412) Prec@5 64.453 (64.337)
Epoch: [8][950/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 2.9145 (2.8237) Prec@1 40.625 (38.400) Prec@5 60.156 (64.328)
Epoch: [8][960/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.7897 (2.8227) Prec@1 38.281 (38.419) Prec@5 65.234 (64.341)
Epoch: [8][970/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.8517 (2.8228) Prec@1 38.281 (38.416) Prec@5 63.672 (64.335)
Epoch: [8][980/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 2.7915 (2.8228) Prec@1 39.062 (38.425) Prec@5 67.578 (64.336)
Epoch: [8][990/5005] Time 0.604 (0.617) Data 0.000 (0.005) Loss 2.9592 (2.8231) Prec@1 35.547 (38.417) Prec@5 60.156 (64.338)
Epoch: [8][1000/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.8187 (2.8240) Prec@1 41.016 (38.414) Prec@5 66.797 (64.320)
Epoch: [8][1010/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 2.9936 (2.8247) Prec@1 32.812 (38.399) Prec@5 59.375 (64.298)
Epoch: [8][1020/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 2.8608 (2.8240) Prec@1 37.500 (38.399) Prec@5 63.672 (64.297)
Epoch: [8][1030/5005] Time 0.620 (0.617) Data 0.000 (0.005) Loss 2.7302 (2.8240) Prec@1 37.500 (38.408) Prec@5 69.531 (64.308)
Epoch: [8][1040/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 3.0593 (2.8239) Prec@1 32.812 (38.404) Prec@5 64.844 (64.319)
Epoch: [8][1050/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 2.8479 (2.8244) Prec@1 36.719 (38.406) Prec@5 63.672 (64.307)
Epoch: [8][1060/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.7374 (2.8248) Prec@1 40.625 (38.404) Prec@5 65.625 (64.300)
Epoch: [8][1070/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.6322 (2.8247) Prec@1 41.016 (38.406) Prec@5 64.844 (64.306)
Epoch: [8][1080/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.8200 (2.8251) Prec@1 41.016 (38.400) Prec@5 65.234 (64.300)
Epoch: [8][1090/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.6520 (2.8254) Prec@1 41.406 (38.399) Prec@5 67.578 (64.297)
Epoch: [8][1100/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 2.4970 (2.8241) Prec@1 40.625 (38.413) Prec@5 67.969 (64.314)
Epoch: [8][1110/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 3.0433 (2.8247) Prec@1 37.109 (38.416) Prec@5 60.156 (64.303)
Epoch: [8][1120/5005] Time 0.607 (0.617) Data 0.000 (0.004) Loss 2.7241 (2.8237) Prec@1 42.578 (38.435) Prec@5 68.750 (64.324)
Epoch: [8][1130/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.7671 (2.8233) Prec@1 41.016 (38.441) Prec@5 65.625 (64.324)
Epoch: [8][1140/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.9773 (2.8238) Prec@1 38.672 (38.450) Prec@5 64.844 (64.315)
Epoch: [8][1150/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.9841 (2.8243) Prec@1 38.281 (38.448) Prec@5 62.891 (64.308)
Epoch: [8][1160/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 2.7544 (2.8237) Prec@1 39.453 (38.459) Prec@5 64.062 (64.321)
Epoch: [8][1170/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.6246 (2.8234) Prec@1 39.844 (38.462) Prec@5 69.531 (64.320)
Epoch: [8][1180/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.7026 (2.8230) Prec@1 37.109 (38.460) Prec@5 67.188 (64.328)
Epoch: [8][1190/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.9772 (2.8231) Prec@1 33.984 (38.454) Prec@5 62.109 (64.334)
Epoch: [8][1200/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 2.7804 (2.8232) Prec@1 37.891 (38.456) Prec@5 64.453 (64.322)
Epoch: [8][1210/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.7198 (2.8222) Prec@1 39.453 (38.458) Prec@5 65.234 (64.336)
Epoch: [8][1220/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 2.7127 (2.8222) Prec@1 39.844 (38.457) Prec@5 61.328 (64.327)
Epoch: [8][1230/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.5564 (2.8214) Prec@1 43.750 (38.472) Prec@5 69.141 (64.337)
Epoch: [8][1240/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 3.0007 (2.8219) Prec@1 35.938 (38.473) Prec@5 59.766 (64.334)
Epoch: [8][1250/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 3.0028 (2.8214) Prec@1 38.672 (38.480) Prec@5 62.500 (64.353)
Epoch: [8][1260/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.4754 (2.8212) Prec@1 46.484 (38.486) Prec@5 72.266 (64.361)
Epoch: [8][1270/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 2.7498 (2.8210) Prec@1 39.453 (38.493) Prec@5 65.234 (64.367)
Epoch: [8][1280/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 3.0019 (2.8204) Prec@1 33.984 (38.501) Prec@5 60.156 (64.373)
Epoch: [8][1290/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.6828 (2.8204) Prec@1 42.188 (38.505) Prec@5 67.969 (64.374)
Epoch: [8][1300/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.8683 (2.8206) Prec@1 34.375 (38.504) Prec@5 65.625 (64.367)
Epoch: [8][1310/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 2.7909 (2.8203) Prec@1 37.500 (38.504) Prec@5 62.891 (64.374)
Epoch: [8][1320/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.9414 (2.8207) Prec@1 36.719 (38.496) Prec@5 62.891 (64.371)
Epoch: [8][1330/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.7526 (2.8206) Prec@1 34.766 (38.496) Prec@5 68.359 (64.383)
Epoch: [8][1340/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.6690 (2.8200) Prec@1 43.750 (38.514) Prec@5 68.359 (64.399)
Epoch: [8][1350/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.6948 (2.8199) Prec@1 38.281 (38.510) Prec@5 65.625 (64.409)
Epoch: [8][1360/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.4970 (2.8200) Prec@1 44.922 (38.506) Prec@5 68.750 (64.406)
Epoch: [8][1370/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.9406 (2.8199) Prec@1 33.594 (38.498) Prec@5 63.281 (64.406)
Epoch: [8][1380/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.8091 (2.8198) Prec@1 41.016 (38.496) Prec@5 62.891 (64.402)
Epoch: [8][1390/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.9776 (2.8200) Prec@1 36.719 (38.497) Prec@5 62.109 (64.403)
Epoch: [8][1400/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.9404 (2.8201) Prec@1 38.672 (38.497) Prec@5 59.375 (64.400)
Epoch: [8][1410/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 2.9518 (2.8203) Prec@1 35.547 (38.492) Prec@5 62.500 (64.396)
Epoch: [8][1420/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.7762 (2.8202) Prec@1 41.797 (38.495) Prec@5 64.062 (64.400)
Epoch: [8][1430/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 2.5514 (2.8199) Prec@1 43.750 (38.501) Prec@5 69.141 (64.396)
Epoch: [8][1440/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.8842 (2.8203) Prec@1 39.844 (38.497) Prec@5 61.328 (64.387)
Epoch: [8][1450/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.8377 (2.8208) Prec@1 37.109 (38.492) Prec@5 63.672 (64.378)
Epoch: [8][1460/5005] Time 0.622 (0.616) Data 0.000 (0.004) Loss 2.5456 (2.8206) Prec@1 43.750 (38.499) Prec@5 68.750 (64.385)
Epoch: [8][1470/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.7412 (2.8208) Prec@1 39.844 (38.491) Prec@5 66.016 (64.376)
Epoch: [8][1480/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.8182 (2.8209) Prec@1 35.547 (38.486) Prec@5 67.188 (64.375)
Epoch: [8][1490/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.6759 (2.8210) Prec@1 41.016 (38.493) Prec@5 66.406 (64.376)
Epoch: [8][1500/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.6735 (2.8204) Prec@1 40.234 (38.504) Prec@5 67.188 (64.393)
Epoch: [8][1510/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.7668 (2.8199) Prec@1 37.891 (38.510) Prec@5 62.109 (64.395)
Epoch: [8][1520/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.5541 (2.8197) Prec@1 37.109 (38.512) Prec@5 71.484 (64.399)
Epoch: [8][1530/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.9269 (2.8193) Prec@1 36.719 (38.522) Prec@5 60.156 (64.410)
Epoch: [8][1540/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.7890 (2.8193) Prec@1 38.672 (38.526) Prec@5 62.109 (64.402)
Epoch: [8][1550/5005] Time 0.622 (0.616) Data 0.001 (0.003) Loss 2.8499 (2.8189) Prec@1 35.547 (38.533) Prec@5 63.281 (64.412)
Epoch: [8][1560/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.8431 (2.8191) Prec@1 38.281 (38.529) Prec@5 65.234 (64.418)
Epoch: [8][1570/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.5644 (2.8190) Prec@1 42.578 (38.531) Prec@5 67.578 (64.415)
Epoch: [8][1580/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 3.0625 (2.8186) Prec@1 35.938 (38.531) Prec@5 62.891 (64.421)
Epoch: [8][1590/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.8618 (2.8180) Prec@1 36.328 (38.543) Prec@5 63.672 (64.429)
Epoch: [8][1600/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 2.9488 (2.8179) Prec@1 38.672 (38.545) Prec@5 59.766 (64.427)
Epoch: [8][1610/5005] Time 0.623 (0.616) Data 0.000 (0.003) Loss 2.8970 (2.8182) Prec@1 39.453 (38.543) Prec@5 61.719 (64.417)
Epoch: [8][1620/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.5173 (2.8179) Prec@1 43.359 (38.543) Prec@5 67.969 (64.419)
Epoch: [8][1630/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.5904 (2.8176) Prec@1 46.094 (38.549) Prec@5 67.578 (64.430)
Epoch: [8][1640/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.6840 (2.8180) Prec@1 39.453 (38.541) Prec@5 66.406 (64.425)
Epoch: [8][1650/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 3.0082 (2.8186) Prec@1 33.594 (38.529) Prec@5 62.109 (64.419)
Epoch: [8][1660/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.7661 (2.8186) Prec@1 38.281 (38.532) Prec@5 64.453 (64.415)
Epoch: [8][1670/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.8061 (2.8182) Prec@1 37.500 (38.534) Prec@5 66.406 (64.424)
Epoch: [8][1680/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 3.0769 (2.8184) Prec@1 36.328 (38.534) Prec@5 59.375 (64.424)
Epoch: [8][1690/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.7987 (2.8186) Prec@1 37.109 (38.530) Prec@5 65.234 (64.427)
Epoch: [8][1700/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.8909 (2.8182) Prec@1 37.891 (38.532) Prec@5 60.547 (64.432)
Epoch: [8][1710/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.8937 (2.8182) Prec@1 33.594 (38.531) Prec@5 64.844 (64.434)
Epoch: [8][1720/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.4851 (2.8180) Prec@1 43.750 (38.540) Prec@5 72.266 (64.438)
Epoch: [8][1730/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.6609 (2.8183) Prec@1 42.578 (38.534) Prec@5 67.188 (64.436)
Epoch: [8][1740/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.7346 (2.8182) Prec@1 42.188 (38.538) Prec@5 68.750 (64.437)
Epoch: [8][1750/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.9384 (2.8179) Prec@1 34.766 (38.542) Prec@5 62.500 (64.439)
Epoch: [8][1760/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6849 (2.8178) Prec@1 39.844 (38.541) Prec@5 70.312 (64.447)
Epoch: [8][1770/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.0098 (2.8178) Prec@1 40.625 (38.542) Prec@5 60.938 (64.442)
Epoch: [8][1780/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.6605 (2.8174) Prec@1 44.922 (38.548) Prec@5 62.109 (64.451)
Epoch: [8][1790/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.8565 (2.8173) Prec@1 37.500 (38.550) Prec@5 62.891 (64.454)
Epoch: [8][1800/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.7717 (2.8172) Prec@1 40.234 (38.555) Prec@5 64.453 (64.458)
Epoch: [8][1810/5005] Time 0.626 (0.616) Data 0.000 (0.003) Loss 2.9080 (2.8177) Prec@1 34.766 (38.546) Prec@5 63.281 (64.450)
Epoch: [8][1820/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.9021 (2.8178) Prec@1 35.547 (38.538) Prec@5 61.328 (64.445)
Epoch: [8][1830/5005] Time 0.619 (0.616) Data 0.001 (0.003) Loss 2.7946 (2.8176) Prec@1 41.406 (38.539) Prec@5 67.188 (64.448)
Epoch: [8][1840/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.9501 (2.8177) Prec@1 37.109 (38.540) Prec@5 63.281 (64.445)
Epoch: [8][1850/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.8700 (2.8179) Prec@1 37.109 (38.536) Prec@5 65.234 (64.442)
Epoch: [8][1860/5005] Time 0.614 (0.616) Data 0.001 (0.003) Loss 2.7255 (2.8182) Prec@1 40.625 (38.538) Prec@5 67.188 (64.438)
Epoch: [8][1870/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.7256 (2.8179) Prec@1 40.234 (38.545) Prec@5 67.578 (64.439)
Epoch: [8][1880/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.8882 (2.8179) Prec@1 33.203 (38.540) Prec@5 61.328 (64.437)
Epoch: [8][1890/5005] Time 0.604 (0.615) Data 0.000 (0.003) Loss 3.0686 (2.8177) Prec@1 36.719 (38.546) Prec@5 62.891 (64.442)
Epoch: [8][1900/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 2.9068 (2.8178) Prec@1 37.500 (38.546) Prec@5 63.281 (64.441)
Epoch: [8][1910/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.6857 (2.8174) Prec@1 38.672 (38.551) Prec@5 68.359 (64.449)
Epoch: [8][1920/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.8864 (2.8171) Prec@1 35.938 (38.553) Prec@5 65.234 (64.451)
Epoch: [8][1930/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.7526 (2.8167) Prec@1 39.062 (38.565) Prec@5 68.359 (64.458)
Epoch: [8][1940/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.7993 (2.8164) Prec@1 37.891 (38.570) Prec@5 63.281 (64.465)
Epoch: [8][1950/5005] Time 0.605 (0.615) Data 0.000 (0.003) Loss 2.7368 (2.8162) Prec@1 44.922 (38.572) Prec@5 64.453 (64.466)
Epoch: [8][1960/5005] Time 0.603 (0.615) Data 0.000 (0.003) Loss 2.8808 (2.8160) Prec@1 39.062 (38.581) Prec@5 62.500 (64.466)
Epoch: [8][1970/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.9962 (2.8160) Prec@1 34.766 (38.585) Prec@5 59.766 (64.462)
Epoch: [8][1980/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8316 (2.8159) Prec@1 42.188 (38.589) Prec@5 62.500 (64.463)
Epoch: [8][1990/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.9277 (2.8161) Prec@1 37.891 (38.581) Prec@5 62.109 (64.460)
Epoch: [8][2000/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.8676 (2.8165) Prec@1 36.328 (38.578) Prec@5 63.281 (64.455)
Epoch: [8][2010/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.8032 (2.8162) Prec@1 39.062 (38.579) Prec@5 66.016 (64.455)
Epoch: [8][2020/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 3.0237 (2.8163) Prec@1 31.250 (38.573) Prec@5 60.156 (64.452)
Epoch: [8][2030/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.9326 (2.8161) Prec@1 38.672 (38.578) Prec@5 59.766 (64.456)
Epoch: [8][2040/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 3.0255 (2.8159) Prec@1 35.156 (38.578) Prec@5 59.766 (64.458)
Epoch: [8][2050/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 3.1896 (2.8162) Prec@1 33.594 (38.573) Prec@5 59.766 (64.454)
Epoch: [8][2060/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.8181 (2.8163) Prec@1 39.062 (38.572) Prec@5 63.672 (64.447)
Epoch: [8][2070/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.7785 (2.8162) Prec@1 40.234 (38.577) Prec@5 64.062 (64.449)
Epoch: [8][2080/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.9665 (2.8162) Prec@1 36.719 (38.577) Prec@5 61.719 (64.447)
Epoch: [8][2090/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.7251 (2.8160) Prec@1 38.672 (38.579) Prec@5 66.406 (64.445)
Epoch: [8][2100/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 3.2907 (2.8162) Prec@1 34.375 (38.578) Prec@5 54.688 (64.441)
Epoch: [8][2110/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 3.0681 (2.8160) Prec@1 30.859 (38.585) Prec@5 60.938 (64.446)
Epoch: [8][2120/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 2.7187 (2.8156) Prec@1 37.500 (38.591) Prec@5 66.797 (64.446)
Epoch: [8][2130/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.6788 (2.8156) Prec@1 39.062 (38.593) Prec@5 67.188 (64.442)
Epoch: [8][2140/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.7997 (2.8156) Prec@1 38.281 (38.594) Prec@5 63.672 (64.440)
Epoch: [8][2150/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 3.0734 (2.8153) Prec@1 34.375 (38.595) Prec@5 58.203 (64.446)
Epoch: [8][2160/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.7396 (2.8151) Prec@1 39.844 (38.594) Prec@5 62.500 (64.447)
Epoch: [8][2170/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 2.6865 (2.8151) Prec@1 42.578 (38.592) Prec@5 64.844 (64.446)
Epoch: [8][2180/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.6616 (2.8150) Prec@1 40.234 (38.591) Prec@5 66.406 (64.449)
Epoch: [8][2190/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7021 (2.8152) Prec@1 38.672 (38.588) Prec@5 64.453 (64.443)
Epoch: [8][2200/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7309 (2.8149) Prec@1 40.625 (38.591) Prec@5 69.531 (64.446)
Epoch: [8][2210/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8491 (2.8145) Prec@1 37.500 (38.594) Prec@5 64.453 (64.453)
Epoch: [8][2220/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8207 (2.8147) Prec@1 36.328 (38.591) Prec@5 65.234 (64.449)
Epoch: [8][2230/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.8066 (2.8148) Prec@1 37.500 (38.589) Prec@5 64.844 (64.448)
Epoch: [8][2240/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.8470 (2.8146) Prec@1 38.672 (38.591) Prec@5 62.500 (64.450)
Epoch: [8][2250/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6624 (2.8146) Prec@1 41.797 (38.589) Prec@5 66.406 (64.447)
Epoch: [8][2260/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7631 (2.8146) Prec@1 36.328 (38.587) Prec@5 63.672 (64.449)
Epoch: [8][2270/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6579 (2.8148) Prec@1 39.844 (38.580) Prec@5 66.406 (64.447)
Epoch: [8][2280/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 2.7566 (2.8147) Prec@1 36.328 (38.581) Prec@5 66.406 (64.444)
Epoch: [8][2290/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8238 (2.8145) Prec@1 42.578 (38.587) Prec@5 64.062 (64.447)
Epoch: [8][2300/5005] Time 0.619 (0.615) Data 0.001 (0.002) Loss 2.8252 (2.8145) Prec@1 36.719 (38.584) Prec@5 66.016 (64.450)
Epoch: [8][2310/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 3.1395 (2.8148) Prec@1 32.422 (38.585) Prec@5 57.812 (64.445)
Epoch: [8][2320/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.7987 (2.8149) Prec@1 46.875 (38.586) Prec@5 63.672 (64.435)
Epoch: [8][2330/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8575 (2.8148) Prec@1 39.062 (38.588) Prec@5 64.453 (64.436)
Epoch: [8][2340/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 3.0378 (2.8150) Prec@1 33.984 (38.581) Prec@5 60.938 (64.438)
Epoch: [8][2350/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.8418 (2.8149) Prec@1 35.156 (38.581) Prec@5 64.844 (64.444)
Epoch: [8][2360/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8925 (2.8145) Prec@1 40.234 (38.585) Prec@5 62.500 (64.451)
Epoch: [8][2370/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.7362 (2.8146) Prec@1 37.500 (38.586) Prec@5 66.406 (64.450)
Epoch: [8][2380/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7889 (2.8146) Prec@1 35.156 (38.591) Prec@5 63.281 (64.445)
Epoch: [8][2390/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9056 (2.8146) Prec@1 39.062 (38.596) Prec@5 64.453 (64.446)
Epoch: [8][2400/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.9012 (2.8144) Prec@1 36.328 (38.600) Prec@5 59.375 (64.448)
Epoch: [8][2410/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.8288 (2.8146) Prec@1 42.188 (38.600) Prec@5 66.406 (64.444)
Epoch: [8][2420/5005] Time 0.608 (0.615) Data 0.001 (0.002) Loss 2.7626 (2.8146) Prec@1 43.750 (38.606) Prec@5 64.844 (64.447)
Epoch: [8][2430/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7922 (2.8145) Prec@1 38.281 (38.610) Prec@5 64.453 (64.446)
Epoch: [8][2440/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8396 (2.8145) Prec@1 41.406 (38.613) Prec@5 62.500 (64.445)
Epoch: [8][2450/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7601 (2.8143) Prec@1 37.891 (38.614) Prec@5 67.578 (64.450)
Epoch: [8][2460/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8314 (2.8141) Prec@1 42.188 (38.623) Prec@5 65.234 (64.453)
Epoch: [8][2470/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 2.9203 (2.8142) Prec@1 36.719 (38.624) Prec@5 62.891 (64.452)
Epoch: [8][2480/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 3.0430 (2.8142) Prec@1 35.938 (38.624) Prec@5 57.812 (64.451)
Epoch: [8][2490/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6823 (2.8139) Prec@1 40.234 (38.626) Prec@5 69.141 (64.456)
Epoch: [8][2500/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.9484 (2.8140) Prec@1 35.938 (38.617) Prec@5 63.281 (64.453)
Epoch: [8][2510/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.9476 (2.8139) Prec@1 37.500 (38.620) Prec@5 62.109 (64.452)
Epoch: [8][2520/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7578 (2.8140) Prec@1 40.625 (38.620) Prec@5 64.062 (64.451)
Epoch: [8][2530/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9097 (2.8137) Prec@1 40.234 (38.621) Prec@5 63.672 (64.455)
Epoch: [8][2540/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.7218 (2.8135) Prec@1 40.234 (38.628) Prec@5 65.234 (64.460)
Epoch: [8][2550/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7787 (2.8132) Prec@1 35.938 (38.630) Prec@5 61.328 (64.464)
Epoch: [8][2560/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6758 (2.8130) Prec@1 39.844 (38.633) Prec@5 66.797 (64.470)
Epoch: [8][2570/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6637 (2.8129) Prec@1 38.281 (38.635) Prec@5 69.141 (64.470)
Epoch: [8][2580/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5764 (2.8130) Prec@1 44.531 (38.633) Prec@5 69.141 (64.468)
Epoch: [8][2590/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7628 (2.8128) Prec@1 39.844 (38.644) Prec@5 64.844 (64.471)
Epoch: [8][2600/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.8557 (2.8128) Prec@1 37.891 (38.641) Prec@5 65.625 (64.474)
Epoch: [8][2610/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7239 (2.8127) Prec@1 39.062 (38.642) Prec@5 64.453 (64.472)
Epoch: [8][2620/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.6630 (2.8122) Prec@1 40.234 (38.655) Prec@5 66.406 (64.482)
Epoch: [8][2630/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.0765 (2.8125) Prec@1 33.203 (38.652) Prec@5 57.422 (64.476)
Epoch: [8][2640/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.8816 (2.8125) Prec@1 35.938 (38.654) Prec@5 60.938 (64.475)
Epoch: [8][2650/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8623 (2.8127) Prec@1 39.062 (38.654) Prec@5 62.109 (64.470)
Epoch: [8][2660/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 3.0039 (2.8128) Prec@1 36.719 (38.649) Prec@5 61.328 (64.466)
Epoch: [8][2670/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6045 (2.8127) Prec@1 42.578 (38.650) Prec@5 67.578 (64.468)
Epoch: [8][2680/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6579 (2.8127) Prec@1 36.328 (38.649) Prec@5 65.625 (64.469)
Epoch: [8][2690/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7649 (2.8125) Prec@1 38.281 (38.652) Prec@5 65.234 (64.477)
Epoch: [8][2700/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.9884 (2.8123) Prec@1 32.422 (38.654) Prec@5 62.500 (64.482)
Epoch: [8][2710/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7445 (2.8120) Prec@1 41.406 (38.658) Prec@5 66.797 (64.489)
Epoch: [8][2720/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9222 (2.8122) Prec@1 34.375 (38.652) Prec@5 63.281 (64.487)
Epoch: [8][2730/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.6868 (2.8121) Prec@1 37.500 (38.653) Prec@5 65.625 (64.489)
Epoch: [8][2740/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5141 (2.8118) Prec@1 44.141 (38.658) Prec@5 71.484 (64.493)
Epoch: [8][2750/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.9161 (2.8118) Prec@1 37.109 (38.660) Prec@5 60.547 (64.493)
Epoch: [8][2760/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8468 (2.8119) Prec@1 40.234 (38.657) Prec@5 62.500 (64.491)
Epoch: [8][2770/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.8142 (2.8119) Prec@1 38.672 (38.664) Prec@5 63.281 (64.494)
Epoch: [8][2780/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.8831 (2.8120) Prec@1 37.109 (38.660) Prec@5 60.938 (64.494)
Epoch: [8][2790/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.9602 (2.8121) Prec@1 35.938 (38.656) Prec@5 60.156 (64.493)
Epoch: [8][2800/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 3.0695 (2.8121) Prec@1 35.156 (38.655) Prec@5 60.938 (64.495)
Epoch: [8][2810/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.0605 (2.8121) Prec@1 36.328 (38.652) Prec@5 60.156 (64.493)
Epoch: [8][2820/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.8969 (2.8119) Prec@1 35.156 (38.658) Prec@5 64.844 (64.498)
Epoch: [8][2830/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7423 (2.8117) Prec@1 37.891 (38.659) Prec@5 66.406 (64.504)
Epoch: [8][2840/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 2.6239 (2.8116) Prec@1 42.969 (38.657) Prec@5 68.750 (64.509)
Epoch: [8][2850/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.9768 (2.8115) Prec@1 33.984 (38.660) Prec@5 60.547 (64.510)
Epoch: [8][2860/5005] Time 0.593 (0.615) Data 0.001 (0.002) Loss 3.0055 (2.8116) Prec@1 38.672 (38.659) Prec@5 61.328 (64.513)
Epoch: [8][2870/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7652 (2.8112) Prec@1 41.016 (38.666) Prec@5 63.672 (64.518)
Epoch: [8][2880/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6685 (2.8111) Prec@1 44.141 (38.667) Prec@5 67.578 (64.520)
Epoch: [8][2890/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7339 (2.8110) Prec@1 37.891 (38.671) Prec@5 62.500 (64.521)
Epoch: [8][2900/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8010 (2.8107) Prec@1 44.531 (38.676) Prec@5 66.406 (64.525)
Epoch: [8][2910/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3457 (2.8103) Prec@1 44.922 (38.679) Prec@5 73.828 (64.530)
Epoch: [8][2920/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5629 (2.8100) Prec@1 41.406 (38.684) Prec@5 68.750 (64.536)
Epoch: [8][2930/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8629 (2.8099) Prec@1 39.062 (38.689) Prec@5 61.328 (64.537)
Epoch: [8][2940/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9792 (2.8100) Prec@1 31.641 (38.686) Prec@5 63.281 (64.533)
Epoch: [8][2950/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.7626 (2.8101) Prec@1 37.109 (38.683) Prec@5 64.844 (64.532)
Epoch: [8][2960/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.8195 (2.8098) Prec@1 37.109 (38.687) Prec@5 65.234 (64.537)
Epoch: [8][2970/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.7491 (2.8094) Prec@1 41.016 (38.697) Prec@5 65.234 (64.544)
Epoch: [8][2980/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6073 (2.8091) Prec@1 43.359 (38.703) Prec@5 70.312 (64.548)
Epoch: [8][2990/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 3.1166 (2.8090) Prec@1 36.328 (38.702) Prec@5 60.938 (64.551)
Epoch: [8][3000/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 3.1161 (2.8092) Prec@1 33.984 (38.702) Prec@5 59.375 (64.550)
Epoch: [8][3010/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6105 (2.8092) Prec@1 44.531 (38.706) Prec@5 68.750 (64.553)
Epoch: [8][3020/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.9027 (2.8093) Prec@1 40.625 (38.709) Prec@5 61.719 (64.554)
Epoch: [8][3030/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6788 (2.8092) Prec@1 41.406 (38.712) Prec@5 67.578 (64.554)
Epoch: [8][3040/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8049 (2.8090) Prec@1 38.281 (38.715) Prec@5 62.891 (64.557)
Epoch: [8][3050/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.8621 (2.8088) Prec@1 37.500 (38.722) Prec@5 60.547 (64.558)
Epoch: [8][3060/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.8302 (2.8085) Prec@1 39.062 (38.725) Prec@5 65.234 (64.560)
Epoch: [8][3070/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6270 (2.8085) Prec@1 43.359 (38.724) Prec@5 63.672 (64.560)
Epoch: [8][3080/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 3.1259 (2.8087) Prec@1 35.156 (38.724) Prec@5 61.719 (64.557)
Epoch: [8][3090/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9760 (2.8088) Prec@1 36.719 (38.722) Prec@5 63.672 (64.556)
Epoch: [8][3100/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.8006 (2.8087) Prec@1 37.891 (38.725) Prec@5 64.062 (64.557)
Epoch: [8][3110/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6225 (2.8087) Prec@1 41.016 (38.725) Prec@5 69.141 (64.559)
Epoch: [8][3120/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.5674 (2.8086) Prec@1 43.750 (38.729) Prec@5 68.359 (64.556)
Epoch: [8][3130/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 3.0982 (2.8086) Prec@1 33.984 (38.729) Prec@5 58.203 (64.556)
Epoch: [8][3140/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7270 (2.8085) Prec@1 37.109 (38.734) Prec@5 65.234 (64.555)
Epoch: [8][3150/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.7013 (2.8083) Prec@1 40.234 (38.736) Prec@5 65.625 (64.556)
Epoch: [8][3160/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5437 (2.8082) Prec@1 42.188 (38.736) Prec@5 67.969 (64.558)
Epoch: [8][3170/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6737 (2.8080) Prec@1 41.016 (38.737) Prec@5 68.359 (64.564)
Epoch: [8][3180/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5202 (2.8078) Prec@1 42.578 (38.741) Prec@5 67.969 (64.565)
Epoch: [8][3190/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7897 (2.8077) Prec@1 41.406 (38.741) Prec@5 60.938 (64.563)
Epoch: [8][3200/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8759 (2.8078) Prec@1 38.672 (38.742) Prec@5 63.281 (64.560)
Epoch: [8][3210/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7502 (2.8077) Prec@1 43.750 (38.749) Prec@5 67.578 (64.565)
Epoch: [8][3220/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.8370 (2.8078) Prec@1 38.672 (38.748) Prec@5 62.109 (64.566)
Epoch: [8][3230/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7581 (2.8079) Prec@1 39.062 (38.749) Prec@5 66.406 (64.562)
Epoch: [8][3240/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6040 (2.8079) Prec@1 39.062 (38.746) Prec@5 69.531 (64.560)
Epoch: [8][3250/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8423 (2.8079) Prec@1 38.672 (38.744) Prec@5 59.375 (64.561)
Epoch: [8][3260/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7767 (2.8081) Prec@1 40.625 (38.740) Prec@5 65.625 (64.555)
Epoch: [8][3270/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7428 (2.8077) Prec@1 35.547 (38.748) Prec@5 66.797 (64.564)
Epoch: [8][3280/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7511 (2.8075) Prec@1 40.625 (38.753) Prec@5 61.719 (64.565)
Epoch: [8][3290/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7723 (2.8075) Prec@1 37.891 (38.753) Prec@5 63.281 (64.563)
Epoch: [8][3300/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 3.0681 (2.8074) Prec@1 37.109 (38.757) Prec@5 60.156 (64.564)
Epoch: [8][3310/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.9055 (2.8072) Prec@1 37.109 (38.756) Prec@5 66.406 (64.573)
Epoch: [8][3320/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.6845 (2.8070) Prec@1 41.016 (38.765) Prec@5 69.531 (64.580)
Epoch: [8][3330/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7363 (2.8072) Prec@1 38.281 (38.763) Prec@5 68.750 (64.575)
Epoch: [8][3340/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7437 (2.8072) Prec@1 41.016 (38.767) Prec@5 66.406 (64.575)
Epoch: [8][3350/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7595 (2.8072) Prec@1 38.672 (38.765) Prec@5 67.578 (64.575)
Epoch: [8][3360/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.7963 (2.8070) Prec@1 41.406 (38.767) Prec@5 64.453 (64.578)
Epoch: [8][3370/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.8404 (2.8069) Prec@1 37.109 (38.769) Prec@5 61.719 (64.581)
Epoch: [8][3380/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7914 (2.8068) Prec@1 39.453 (38.769) Prec@5 61.719 (64.581)
Epoch: [8][3390/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.6620 (2.8065) Prec@1 38.672 (38.774) Prec@5 65.625 (64.584)
Epoch: [8][3400/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7758 (2.8065) Prec@1 37.500 (38.774) Prec@5 66.406 (64.584)
Epoch: [8][3410/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8574 (2.8062) Prec@1 38.281 (38.780) Prec@5 64.062 (64.591)
Epoch: [8][3420/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7369 (2.8063) Prec@1 40.625 (38.778) Prec@5 66.016 (64.589)
Epoch: [8][3430/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7393 (2.8061) Prec@1 36.328 (38.781) Prec@5 71.875 (64.592)
Epoch: [8][3440/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6051 (2.8061) Prec@1 40.625 (38.779) Prec@5 67.188 (64.589)
Epoch: [8][3450/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7882 (2.8061) Prec@1 39.844 (38.782) Prec@5 66.016 (64.587)
Epoch: [8][3460/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.7280 (2.8062) Prec@1 38.672 (38.781) Prec@5 65.234 (64.585)
Epoch: [8][3470/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7595 (2.8060) Prec@1 39.062 (38.785) Prec@5 66.797 (64.589)
Epoch: [8][3480/5005] Time 0.608 (0.615) Data 0.001 (0.002) Loss 2.8030 (2.8061) Prec@1 38.281 (38.783) Prec@5 62.891 (64.588)
Epoch: [8][3490/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.8088 (2.8059) Prec@1 41.406 (38.788) Prec@5 63.672 (64.591)
Epoch: [8][3500/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7961 (2.8058) Prec@1 41.016 (38.793) Prec@5 64.062 (64.594)
Epoch: [8][3510/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4702 (2.8057) Prec@1 42.188 (38.795) Prec@5 69.922 (64.596)
Epoch: [8][3520/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.8980 (2.8057) Prec@1 34.375 (38.793) Prec@5 65.625 (64.597)
Epoch: [8][3530/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8728 (2.8055) Prec@1 40.625 (38.798) Prec@5 65.234 (64.602)
Epoch: [8][3540/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8626 (2.8054) Prec@1 39.453 (38.796) Prec@5 64.062 (64.604)
Epoch: [8][3550/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.8922 (2.8053) Prec@1 35.547 (38.795) Prec@5 63.672 (64.604)
Epoch: [8][3560/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6156 (2.8051) Prec@1 38.281 (38.798) Prec@5 65.625 (64.605)
Epoch: [8][3570/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8462 (2.8051) Prec@1 42.578 (38.798) Prec@5 62.891 (64.604)
Epoch: [8][3580/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9316 (2.8048) Prec@1 37.109 (38.801) Prec@5 62.109 (64.610)
Epoch: [8][3590/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6925 (2.8047) Prec@1 40.625 (38.804) Prec@5 66.016 (64.613)
Epoch: [8][3600/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.6914 (2.8044) Prec@1 42.188 (38.809) Prec@5 65.234 (64.618)
Epoch: [8][3610/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7986 (2.8042) Prec@1 35.938 (38.815) Prec@5 62.500 (64.624)
Epoch: [8][3620/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.8090 (2.8041) Prec@1 38.281 (38.816) Prec@5 61.719 (64.623)
Epoch: [8][3630/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.9110 (2.8041) Prec@1 37.109 (38.819) Prec@5 59.766 (64.622)
Epoch: [8][3640/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 2.8825 (2.8041) Prec@1 37.500 (38.817) Prec@5 65.625 (64.626)
Epoch: [8][3650/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8536 (2.8041) Prec@1 39.453 (38.821) Prec@5 63.281 (64.628)
Epoch: [8][3660/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.9930 (2.8038) Prec@1 39.453 (38.823) Prec@5 60.938 (64.630)
Epoch: [8][3670/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8335 (2.8038) Prec@1 33.984 (38.826) Prec@5 66.406 (64.632)
Epoch: [8][3680/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.4969 (2.8036) Prec@1 41.797 (38.831) Prec@5 69.531 (64.638)
Epoch: [8][3690/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6456 (2.8035) Prec@1 39.844 (38.833) Prec@5 68.750 (64.642)
Epoch: [8][3700/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6550 (2.8032) Prec@1 41.797 (38.838) Prec@5 70.312 (64.646)
Epoch: [8][3710/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.5837 (2.8031) Prec@1 44.141 (38.840) Prec@5 70.312 (64.649)
Epoch: [8][3720/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.6424 (2.8030) Prec@1 42.578 (38.843) Prec@5 68.359 (64.653)
Epoch: [8][3730/5005] Time 0.595 (0.614) Data 0.000 (0.002) Loss 2.7896 (2.8029) Prec@1 37.891 (38.845) Prec@5 65.625 (64.654)
Epoch: [8][3740/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.8604 (2.8027) Prec@1 35.938 (38.849) Prec@5 65.625 (64.657)
Epoch: [8][3750/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6810 (2.8027) Prec@1 40.625 (38.852) Prec@5 66.406 (64.659)
Epoch: [8][3760/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.8568 (2.8028) Prec@1 36.719 (38.852) Prec@5 65.625 (64.657)
Epoch: [8][3770/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.9266 (2.8028) Prec@1 38.281 (38.852) Prec@5 64.453 (64.656)
Epoch: [8][3780/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.7578 (2.8027) Prec@1 39.844 (38.854) Prec@5 67.578 (64.659)
Epoch: [8][3790/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 3.0293 (2.8026) Prec@1 36.328 (38.856) Prec@5 60.547 (64.661)
Epoch: [8][3800/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.9100 (2.8026) Prec@1 36.719 (38.856) Prec@5 63.672 (64.662)
Epoch: [8][3810/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.8176 (2.8026) Prec@1 35.547 (38.854) Prec@5 62.109 (64.662)
Epoch: [8][3820/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.9059 (2.8027) Prec@1 36.719 (38.855) Prec@5 59.766 (64.659)
Epoch: [8][3830/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9213 (2.8027) Prec@1 38.672 (38.856) Prec@5 59.375 (64.657)
Epoch: [8][3840/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8386 (2.8026) Prec@1 36.328 (38.856) Prec@5 62.109 (64.657)
Epoch: [8][3850/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.7917 (2.8025) Prec@1 36.719 (38.856) Prec@5 64.062 (64.659)
Epoch: [8][3860/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.7070 (2.8023) Prec@1 39.844 (38.858) Prec@5 65.625 (64.660)
Epoch: [8][3870/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.8171 (2.8021) Prec@1 39.844 (38.865) Prec@5 62.500 (64.666)
Epoch: [8][3880/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.7387 (2.8019) Prec@1 37.891 (38.869) Prec@5 66.016 (64.672)
Epoch: [8][3890/5005] Time 0.600 (0.614) Data 0.000 (0.002) Loss 2.2892 (2.8015) Prec@1 42.969 (38.873) Prec@5 71.094 (64.677)
Epoch: [8][3900/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.8194 (2.8013) Prec@1 37.500 (38.876) Prec@5 68.750 (64.678)
Epoch: [8][3910/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 3.0803 (2.8013) Prec@1 30.859 (38.874) Prec@5 60.547 (64.677)
Epoch: [8][3920/5005] Time 0.624 (0.614) Data 0.001 (0.002) Loss 2.6920 (2.8013) Prec@1 41.797 (38.876) Prec@5 66.016 (64.681)
Epoch: [8][3930/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8300 (2.8014) Prec@1 41.797 (38.878) Prec@5 65.234 (64.681)
Epoch: [8][3940/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.5768 (2.8010) Prec@1 42.578 (38.884) Prec@5 67.188 (64.685)
Epoch: [8][3950/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.7551 (2.8009) Prec@1 41.406 (38.887) Prec@5 66.797 (64.683)
Epoch: [8][3960/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.6948 (2.8010) Prec@1 40.234 (38.887) Prec@5 62.500 (64.681)
Epoch: [8][3970/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.4770 (2.8009) Prec@1 42.578 (38.888) Prec@5 68.750 (64.683)
Epoch: [8][3980/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.5552 (2.8008) Prec@1 41.406 (38.886) Prec@5 66.797 (64.684)
Epoch: [8][3990/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.6145 (2.8007) Prec@1 43.359 (38.891) Prec@5 64.844 (64.686)
Epoch: [8][4000/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.9351 (2.8006) Prec@1 38.281 (38.890) Prec@5 62.891 (64.688)
Epoch: [8][4010/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.8123 (2.8005) Prec@1 39.062 (38.893) Prec@5 65.234 (64.690)
Epoch: [8][4020/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.5303 (2.8005) Prec@1 41.406 (38.895) Prec@5 67.188 (64.691)
Epoch: [8][4030/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8129 (2.8004) Prec@1 38.281 (38.894) Prec@5 64.062 (64.691)
Epoch: [8][4040/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6990 (2.8004) Prec@1 42.188 (38.894) Prec@5 68.750 (64.693)
Epoch: [8][4050/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.8534 (2.8005) Prec@1 37.891 (38.894) Prec@5 62.891 (64.693)
Epoch: [8][4060/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8329 (2.8004) Prec@1 38.672 (38.897) Prec@5 65.234 (64.694)
Epoch: [8][4070/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 3.0452 (2.8004) Prec@1 36.328 (38.901) Prec@5 64.453 (64.697)
Epoch: [8][4080/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6443 (2.8003) Prec@1 39.062 (38.903) Prec@5 66.016 (64.698)
Epoch: [8][4090/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8381 (2.8002) Prec@1 37.891 (38.906) Prec@5 66.406 (64.699)
Epoch: [8][4100/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 3.2770 (2.8003) Prec@1 34.375 (38.902) Prec@5 59.375 (64.696)
Epoch: [8][4110/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.9088 (2.8004) Prec@1 35.547 (38.898) Prec@5 60.156 (64.696)
Epoch: [8][4120/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.8731 (2.8002) Prec@1 40.625 (38.901) Prec@5 58.984 (64.696)
Epoch: [8][4130/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.7276 (2.8002) Prec@1 40.234 (38.901) Prec@5 66.016 (64.697)
Epoch: [8][4140/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 3.0403 (2.8002) Prec@1 33.594 (38.900) Prec@5 60.156 (64.698)
Epoch: [8][4150/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.7675 (2.8000) Prec@1 39.844 (38.905) Prec@5 65.625 (64.703)
Epoch: [8][4160/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.6250 (2.8000) Prec@1 41.406 (38.907) Prec@5 69.141 (64.703)
Epoch: [8][4170/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6707 (2.7998) Prec@1 38.672 (38.910) Prec@5 68.359 (64.706)
Epoch: [8][4180/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8715 (2.7999) Prec@1 39.062 (38.910) Prec@5 64.844 (64.708)
Epoch: [8][4190/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.7690 (2.7999) Prec@1 45.312 (38.913) Prec@5 65.625 (64.710)
Epoch: [8][4200/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.7953 (2.7998) Prec@1 39.844 (38.914) Prec@5 68.750 (64.712)
Epoch: [8][4210/5005] Time 0.609 (0.614) Data 0.001 (0.002) Loss 2.7370 (2.7997) Prec@1 39.062 (38.917) Prec@5 66.797 (64.714)
Epoch: [8][4220/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8789 (2.7996) Prec@1 40.625 (38.919) Prec@5 62.500 (64.716)
Epoch: [8][4230/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.9507 (2.7996) Prec@1 36.719 (38.922) Prec@5 60.938 (64.715)
Epoch: [8][4240/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.7115 (2.7995) Prec@1 38.281 (38.922) Prec@5 62.891 (64.718)
Epoch: [8][4250/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8181 (2.7994) Prec@1 35.938 (38.923) Prec@5 65.234 (64.720)
Epoch: [8][4260/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.8645 (2.7994) Prec@1 35.938 (38.922) Prec@5 65.234 (64.720)
Epoch: [8][4270/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 3.0528 (2.7995) Prec@1 34.766 (38.919) Prec@5 58.984 (64.719)
Epoch: [8][4280/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.6753 (2.7993) Prec@1 41.797 (38.922) Prec@5 66.797 (64.721)
Epoch: [8][4290/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9120 (2.7991) Prec@1 36.719 (38.925) Prec@5 63.672 (64.726)
Epoch: [8][4300/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.8295 (2.7991) Prec@1 37.500 (38.927) Prec@5 63.672 (64.727)
Epoch: [8][4310/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 2.7791 (2.7990) Prec@1 40.234 (38.930) Prec@5 64.453 (64.727)
Epoch: [8][4320/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8046 (2.7990) Prec@1 39.453 (38.929) Prec@5 66.016 (64.726)
Epoch: [8][4330/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.5936 (2.7989) Prec@1 45.703 (38.929) Prec@5 66.406 (64.726)
Epoch: [8][4340/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8004 (2.7989) Prec@1 42.188 (38.930) Prec@5 64.453 (64.723)
Epoch: [8][4350/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7468 (2.7990) Prec@1 40.234 (38.928) Prec@5 64.453 (64.723)
Epoch: [8][4360/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6360 (2.7988) Prec@1 38.672 (38.929) Prec@5 67.188 (64.727)
Epoch: [8][4370/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6772 (2.7988) Prec@1 37.500 (38.928) Prec@5 68.750 (64.727)
Epoch: [8][4380/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.8934 (2.7987) Prec@1 36.328 (38.930) Prec@5 63.281 (64.730)
Epoch: [8][4390/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.5474 (2.7985) Prec@1 41.797 (38.934) Prec@5 69.922 (64.733)
Epoch: [8][4400/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7383 (2.7985) Prec@1 37.109 (38.934) Prec@5 64.453 (64.734)
Epoch: [8][4410/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.7109 (2.7982) Prec@1 37.109 (38.933) Prec@5 66.406 (64.738)
Epoch: [8][4420/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.8428 (2.7982) Prec@1 39.844 (38.935) Prec@5 61.719 (64.739)
Epoch: [8][4430/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6632 (2.7981) Prec@1 39.453 (38.933) Prec@5 67.969 (64.740)
Epoch: [8][4440/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.9865 (2.7981) Prec@1 33.594 (38.932) Prec@5 60.156 (64.740)
Epoch: [8][4450/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8453 (2.7980) Prec@1 37.891 (38.937) Prec@5 63.672 (64.743)
Epoch: [8][4460/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.9721 (2.7980) Prec@1 37.109 (38.936) Prec@5 58.984 (64.742)
Epoch: [8][4470/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5990 (2.7979) Prec@1 41.797 (38.938) Prec@5 66.016 (64.743)
Epoch: [8][4480/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.8240 (2.7978) Prec@1 41.406 (38.937) Prec@5 64.062 (64.745)
Epoch: [8][4490/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.9201 (2.7979) Prec@1 36.719 (38.941) Prec@5 62.500 (64.744)
Epoch: [8][4500/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5206 (2.7977) Prec@1 44.531 (38.944) Prec@5 68.750 (64.746)
Epoch: [8][4510/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 3.0475 (2.7978) Prec@1 33.984 (38.939) Prec@5 57.812 (64.744)
Epoch: [8][4520/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7992 (2.7977) Prec@1 42.188 (38.942) Prec@5 66.016 (64.747)
Epoch: [8][4530/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6976 (2.7976) Prec@1 38.672 (38.944) Prec@5 66.016 (64.748)
Epoch: [8][4540/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6495 (2.7974) Prec@1 39.453 (38.949) Prec@5 66.016 (64.752)
Epoch: [8][4550/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.6865 (2.7975) Prec@1 42.969 (38.946) Prec@5 63.672 (64.751)
Epoch: [8][4560/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7110 (2.7974) Prec@1 41.016 (38.946) Prec@5 65.234 (64.751)
Epoch: [8][4570/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 2.9767 (2.7974) Prec@1 37.109 (38.947) Prec@5 58.203 (64.750)
Epoch: [8][4580/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 3.0401 (2.7974) Prec@1 37.500 (38.947) Prec@5 60.547 (64.750)
Epoch: [8][4590/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.9824 (2.7972) Prec@1 32.422 (38.948) Prec@5 60.938 (64.751)
Epoch: [8][4600/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7839 (2.7971) Prec@1 39.062 (38.948) Prec@5 65.234 (64.752)
Epoch: [8][4610/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.9211 (2.7972) Prec@1 37.109 (38.948) Prec@5 60.547 (64.751)
Epoch: [8][4620/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.7610 (2.7972) Prec@1 38.672 (38.947) Prec@5 66.016 (64.750)
Epoch: [8][4630/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.8849 (2.7972) Prec@1 38.672 (38.946) Prec@5 63.672 (64.751)
Epoch: [8][4640/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.5968 (2.7973) Prec@1 44.531 (38.946) Prec@5 68.359 (64.750)
Epoch: [8][4650/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.9173 (2.7973) Prec@1 38.281 (38.946) Prec@5 60.547 (64.750)
Epoch: [8][4660/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7847 (2.7972) Prec@1 39.453 (38.948) Prec@5 63.672 (64.752)
Epoch: [8][4670/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4825 (2.7970) Prec@1 44.531 (38.950) Prec@5 66.016 (64.752)
Epoch: [8][4680/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6927 (2.7970) Prec@1 37.500 (38.948) Prec@5 65.625 (64.751)
Epoch: [8][4690/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.9282 (2.7971) Prec@1 34.766 (38.946) Prec@5 62.500 (64.750)
Epoch: [8][4700/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.8655 (2.7970) Prec@1 37.500 (38.949) Prec@5 65.234 (64.751)
Epoch: [8][4710/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.8035 (2.7971) Prec@1 36.719 (38.946) Prec@5 63.281 (64.750)
Epoch: [8][4720/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.6241 (2.7969) Prec@1 44.922 (38.948) Prec@5 66.406 (64.755)
Epoch: [8][4730/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 2.6281 (2.7966) Prec@1 40.234 (38.952) Prec@5 67.188 (64.761)
Epoch: [8][4740/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.7647 (2.7964) Prec@1 42.969 (38.954) Prec@5 64.062 (64.763)
Epoch: [8][4750/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8133 (2.7963) Prec@1 37.891 (38.956) Prec@5 64.453 (64.766)
Epoch: [8][4760/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8433 (2.7962) Prec@1 41.406 (38.954) Prec@5 64.062 (64.768)
Epoch: [8][4770/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.7575 (2.7959) Prec@1 40.625 (38.959) Prec@5 62.500 (64.773)
Epoch: [8][4780/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.6437 (2.7959) Prec@1 46.094 (38.962) Prec@5 68.750 (64.774)
Epoch: [8][4790/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8413 (2.7958) Prec@1 39.062 (38.961) Prec@5 65.625 (64.775)
Epoch: [8][4800/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.9324 (2.7958) Prec@1 37.109 (38.964) Prec@5 65.625 (64.778)
Epoch: [8][4810/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6528 (2.7955) Prec@1 39.062 (38.964) Prec@5 68.750 (64.785)
Epoch: [8][4820/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6900 (2.7955) Prec@1 35.547 (38.963) Prec@5 69.141 (64.786)
Epoch: [8][4830/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 2.6927 (2.7955) Prec@1 41.016 (38.964) Prec@5 67.578 (64.785)
Epoch: [8][4840/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.5174 (2.7954) Prec@1 46.094 (38.966) Prec@5 70.312 (64.787)
Epoch: [8][4850/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.6584 (2.7951) Prec@1 43.750 (38.971) Prec@5 68.359 (64.791)
Epoch: [8][4860/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.5054 (2.7950) Prec@1 41.406 (38.974) Prec@5 69.922 (64.793)
Epoch: [8][4870/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5314 (2.7948) Prec@1 43.750 (38.977) Prec@5 69.922 (64.797)
Epoch: [8][4880/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.6862 (2.7947) Prec@1 42.969 (38.980) Prec@5 64.453 (64.799)
Epoch: [8][4890/5005] Time 0.601 (0.614) Data 0.000 (0.001) Loss 2.7481 (2.7947) Prec@1 39.062 (38.979) Prec@5 64.453 (64.799)
Epoch: [8][4900/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6932 (2.7947) Prec@1 38.672 (38.978) Prec@5 67.188 (64.800)
Epoch: [8][4910/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.3501 (2.7945) Prec@1 42.578 (38.981) Prec@5 71.094 (64.803)
Epoch: [8][4920/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 2.8605 (2.7944) Prec@1 37.891 (38.983) Prec@5 62.891 (64.805)
Epoch: [8][4930/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.7814 (2.7943) Prec@1 38.281 (38.985) Prec@5 65.625 (64.808)
Epoch: [8][4940/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8902 (2.7944) Prec@1 42.578 (38.983) Prec@5 62.891 (64.806)
Epoch: [8][4950/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.7730 (2.7944) Prec@1 39.453 (38.985) Prec@5 66.016 (64.808)
Epoch: [8][4960/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.8493 (2.7944) Prec@1 37.500 (38.985) Prec@5 64.062 (64.808)
Epoch: [8][4970/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8126 (2.7943) Prec@1 38.281 (38.989) Prec@5 67.578 (64.812)
Epoch: [8][4980/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.7818 (2.7943) Prec@1 38.281 (38.988) Prec@5 68.359 (64.813)
Epoch: [8][4990/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.7216 (2.7942) Prec@1 41.797 (38.989) Prec@5 67.578 (64.815)
Epoch: [8][5000/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6777 (2.7939) Prec@1 40.625 (38.994) Prec@5 66.797 (64.820)
Test: [0/196] Time 5.306 (5.306) Loss 1.2277 (1.2277) Prec@1 67.578 (67.578) Prec@5 88.672 (88.672)
Test: [10/196] Time 0.202 (0.672) Loss 2.0660 (1.6563) Prec@1 49.609 (59.624) Prec@5 77.344 (82.990)
Test: [20/196] Time 0.202 (0.449) Loss 1.5758 (1.6567) Prec@1 64.062 (59.710) Prec@5 81.641 (82.664)
Test: [30/196] Time 0.204 (0.370) Loss 1.5997 (1.6403) Prec@1 55.859 (60.194) Prec@5 88.281 (82.825)
Test: [40/196] Time 0.207 (0.329) Loss 2.0689 (1.7278) Prec@1 46.094 (56.717) Prec@5 80.078 (82.231)
Test: [50/196] Time 0.202 (0.305) Loss 1.3363 (1.6874) Prec@1 67.578 (57.177) Prec@5 89.453 (83.418)
Test: [60/196] Time 0.217 (0.289) Loss 2.0061 (1.6752) Prec@1 48.047 (57.198) Prec@5 81.250 (83.837)
Test: [70/196] Time 0.209 (0.277) Loss 1.6309 (1.6623) Prec@1 59.766 (57.735) Prec@5 83.984 (83.924)
Test: [80/196] Time 0.214 (0.269) Loss 2.6927 (1.6981) Prec@1 40.234 (56.959) Prec@5 69.531 (83.410)
Test: [90/196] Time 0.205 (0.261) Loss 3.8541 (1.8043) Prec@1 21.094 (55.147) Prec@5 48.828 (81.684)
Test: [100/196] Time 0.202 (0.256) Loss 3.0114 (1.8912) Prec@1 30.859 (53.713) Prec@5 63.281 (80.202)
Test: [110/196] Time 0.208 (0.251) Loss 2.2198 (1.9310) Prec@1 53.516 (53.343) Prec@5 73.828 (79.519)
Test: [120/196] Time 0.202 (0.247) Loss 2.8387 (1.9694) Prec@1 41.797 (52.896) Prec@5 62.891 (78.832)
Test: [130/196] Time 0.202 (0.244) Loss 1.9811 (2.0038) Prec@1 58.203 (52.245) Prec@5 77.734 (78.292)
Test: [140/196] Time 0.202 (0.241) Loss 2.2108 (2.0392) Prec@1 53.125 (51.682) Prec@5 78.125 (77.687)
Test: [150/196] Time 0.207 (0.239) Loss 2.6470 (2.0797) Prec@1 47.656 (51.149) Prec@5 65.625 (76.961)
Test: [160/196] Time 0.202 (0.237) Loss 2.1921 (2.1101) Prec@1 51.562 (50.650) Prec@5 77.734 (76.410)
Test: [170/196] Time 0.201 (0.235) Loss 1.6302 (2.1439) Prec@1 55.859 (49.922) Prec@5 83.984 (75.816)
Test: [180/196] Time 0.202 (0.233) Loss 1.9278 (2.1656) Prec@1 48.047 (49.558) Prec@5 81.250 (75.477)
Test: [190/196] Time 0.202 (0.232) Loss 1.8499 (2.1576) Prec@1 50.781 (49.622) Prec@5 84.375 (75.683)
* Prec@1 49.962 Prec@5 75.878
Epoch: [9][0/5005] Time 3.996 (3.996) Data 3.727 (3.727) Loss 2.7920 (2.7920) Prec@1 38.672 (38.672) Prec@5 67.188 (67.188)
Epoch: [9][10/5005] Time 0.610 (0.965) Data 0.000 (0.416) Loss 2.5686 (2.6626) Prec@1 44.531 (41.690) Prec@5 66.797 (67.188)
Epoch: [9][20/5005] Time 0.612 (0.798) Data 0.000 (0.218) Loss 2.6668 (2.6968) Prec@1 39.844 (41.146) Prec@5 65.625 (66.927)
Epoch: [9][30/5005] Time 0.610 (0.738) Data 0.000 (0.148) Loss 2.8155 (2.6996) Prec@1 41.016 (40.726) Prec@5 64.062 (66.545)
Epoch: [9][40/5005] Time 0.611 (0.708) Data 0.000 (0.112) Loss 2.9674 (2.7023) Prec@1 36.328 (40.406) Prec@5 61.328 (66.463)
Epoch: [9][50/5005] Time 0.613 (0.689) Data 0.000 (0.090) Loss 2.8963 (2.7013) Prec@1 37.891 (40.395) Prec@5 66.797 (66.628)
Epoch: [9][60/5005] Time 0.616 (0.677) Data 0.000 (0.075) Loss 2.7303 (2.7026) Prec@1 40.625 (40.311) Prec@5 64.062 (66.515)
Epoch: [9][70/5005] Time 0.609 (0.668) Data 0.000 (0.065) Loss 2.6435 (2.6968) Prec@1 42.578 (40.388) Prec@5 67.969 (66.621)
Epoch: [9][80/5005] Time 0.609 (0.661) Data 0.000 (0.057) Loss 2.6442 (2.7018) Prec@1 38.281 (40.316) Prec@5 64.844 (66.459)
Epoch: [9][90/5005] Time 0.620 (0.656) Data 0.000 (0.051) Loss 2.6649 (2.6946) Prec@1 39.453 (40.385) Prec@5 68.750 (66.668)
Epoch: [9][100/5005] Time 0.612 (0.652) Data 0.000 (0.046) Loss 2.7561 (2.6953) Prec@1 40.234 (40.316) Prec@5 66.406 (66.615)
Epoch: [9][110/5005] Time 0.615 (0.648) Data 0.000 (0.042) Loss 2.6330 (2.6902) Prec@1 40.234 (40.442) Prec@5 68.359 (66.642)
Epoch: [9][120/5005] Time 0.606 (0.645) Data 0.000 (0.038) Loss 2.8423 (2.6933) Prec@1 34.766 (40.373) Prec@5 63.672 (66.555)
Epoch: [9][130/5005] Time 0.619 (0.643) Data 0.000 (0.035) Loss 2.8862 (2.6916) Prec@1 37.109 (40.461) Prec@5 61.719 (66.543)
Epoch: [9][140/5005] Time 0.609 (0.641) Data 0.000 (0.033) Loss 2.7551 (2.6903) Prec@1 42.578 (40.572) Prec@5 66.016 (66.548)
Epoch: [9][150/5005] Time 0.615 (0.639) Data 0.001 (0.031) Loss 2.8027 (2.6878) Prec@1 36.328 (40.576) Prec@5 64.844 (66.593)
Epoch: [9][160/5005] Time 0.614 (0.637) Data 0.000 (0.029) Loss 2.9365 (2.6921) Prec@1 36.719 (40.496) Prec@5 60.938 (66.545)
Epoch: [9][170/5005] Time 0.615 (0.636) Data 0.000 (0.027) Loss 2.7502 (2.6887) Prec@1 38.672 (40.531) Prec@5 65.234 (66.607)
Epoch: [9][180/5005] Time 0.618 (0.635) Data 0.000 (0.026) Loss 2.7635 (2.6896) Prec@1 41.797 (40.569) Prec@5 64.453 (66.557)
Epoch: [9][190/5005] Time 0.618 (0.634) Data 0.000 (0.024) Loss 2.6046 (2.6888) Prec@1 44.922 (40.590) Prec@5 66.797 (66.556)
Epoch: [9][200/5005] Time 0.615 (0.633) Data 0.000 (0.023) Loss 2.7023 (2.6905) Prec@1 42.188 (40.555) Prec@5 64.844 (66.503)
Epoch: [9][210/5005] Time 0.615 (0.632) Data 0.001 (0.022) Loss 2.9531 (2.6908) Prec@1 37.500 (40.551) Prec@5 59.766 (66.497)
Epoch: [9][220/5005] Time 0.616 (0.631) Data 0.000 (0.021) Loss 2.5871 (2.6918) Prec@1 39.453 (40.521) Prec@5 69.141 (66.482)
Epoch: [9][230/5005] Time 0.621 (0.630) Data 0.000 (0.020) Loss 2.7016 (2.6920) Prec@1 36.328 (40.488) Prec@5 67.578 (66.492)
Epoch: [9][240/5005] Time 0.618 (0.630) Data 0.000 (0.019) Loss 2.5565 (2.6924) Prec@1 42.188 (40.455) Prec@5 69.922 (66.466)
Epoch: [9][250/5005] Time 0.612 (0.629) Data 0.000 (0.019) Loss 2.7262 (2.6953) Prec@1 42.188 (40.404) Prec@5 66.797 (66.430)
Epoch: [9][260/5005] Time 0.611 (0.628) Data 0.000 (0.018) Loss 2.7185 (2.6958) Prec@1 39.062 (40.429) Prec@5 66.406 (66.403)
Epoch: [9][270/5005] Time 0.615 (0.628) Data 0.000 (0.017) Loss 3.0593 (2.6980) Prec@1 32.031 (40.386) Prec@5 57.812 (66.339)
Epoch: [9][280/5005] Time 0.617 (0.627) Data 0.000 (0.017) Loss 2.4758 (2.6986) Prec@1 42.969 (40.400) Prec@5 68.359 (66.331)
Epoch: [9][290/5005] Time 0.608 (0.627) Data 0.000 (0.016) Loss 2.9018 (2.6971) Prec@1 36.719 (40.418) Prec@5 62.891 (66.358)
Epoch: [9][300/5005] Time 0.619 (0.627) Data 0.000 (0.016) Loss 2.6388 (2.6964) Prec@1 40.234 (40.460) Prec@5 67.578 (66.373)
Epoch: [9][310/5005] Time 0.613 (0.626) Data 0.000 (0.015) Loss 2.4551 (2.6944) Prec@1 46.094 (40.548) Prec@5 70.312 (66.414)
Epoch: [9][320/5005] Time 0.609 (0.626) Data 0.000 (0.015) Loss 2.6870 (2.6943) Prec@1 39.453 (40.531) Prec@5 67.578 (66.425)
Epoch: [9][330/5005] Time 0.614 (0.625) Data 0.001 (0.014) Loss 2.6147 (2.6925) Prec@1 41.016 (40.552) Prec@5 69.141 (66.464)
Epoch: [9][340/5005] Time 0.611 (0.625) Data 0.000 (0.014) Loss 2.8052 (2.6920) Prec@1 37.500 (40.525) Prec@5 64.844 (66.490)
Epoch: [9][350/5005] Time 0.616 (0.625) Data 0.000 (0.013) Loss 2.5921 (2.6935) Prec@1 43.359 (40.489) Prec@5 69.922 (66.470)
Epoch: [9][360/5005] Time 0.607 (0.624) Data 0.000 (0.013) Loss 2.6175 (2.6927) Prec@1 39.844 (40.506) Prec@5 67.578 (66.490)
Epoch: [9][370/5005] Time 0.609 (0.624) Data 0.000 (0.013) Loss 2.7885 (2.6934) Prec@1 38.672 (40.487) Prec@5 65.625 (66.459)
Epoch: [9][380/5005] Time 0.611 (0.624) Data 0.000 (0.012) Loss 2.6691 (2.6933) Prec@1 42.578 (40.490) Prec@5 67.969 (66.455)
Epoch: [9][390/5005] Time 0.618 (0.624) Data 0.000 (0.012) Loss 2.9127 (2.6932) Prec@1 36.328 (40.519) Prec@5 62.891 (66.459)
Epoch: [9][400/5005] Time 0.619 (0.623) Data 0.000 (0.012) Loss 2.6408 (2.6931) Prec@1 43.359 (40.526) Prec@5 66.797 (66.461)
Epoch: [9][410/5005] Time 0.622 (0.623) Data 0.000 (0.012) Loss 2.7359 (2.6924) Prec@1 41.797 (40.522) Prec@5 66.406 (66.468)
Epoch: [9][420/5005] Time 0.614 (0.623) Data 0.001 (0.011) Loss 2.6594 (2.6936) Prec@1 40.625 (40.516) Prec@5 69.922 (66.444)
Epoch: [9][430/5005] Time 0.612 (0.623) Data 0.000 (0.011) Loss 2.4823 (2.6925) Prec@1 41.406 (40.531) Prec@5 70.703 (66.459)
Epoch: [9][440/5005] Time 0.616 (0.623) Data 0.000 (0.011) Loss 2.9348 (2.6918) Prec@1 37.109 (40.543) Prec@5 67.188 (66.465)
Epoch: [9][450/5005] Time 0.618 (0.622) Data 0.001 (0.011) Loss 2.7229 (2.6896) Prec@1 39.062 (40.587) Prec@5 64.453 (66.512)
Epoch: [9][460/5005] Time 0.612 (0.622) Data 0.000 (0.010) Loss 2.5320 (2.6882) Prec@1 43.359 (40.605) Prec@5 67.188 (66.527)
Epoch: [9][470/5005] Time 0.618 (0.622) Data 0.000 (0.010) Loss 2.6475 (2.6892) Prec@1 42.578 (40.606) Prec@5 64.844 (66.506)
Epoch: [9][480/5005] Time 0.608 (0.622) Data 0.000 (0.010) Loss 2.4784 (2.6893) Prec@1 47.656 (40.599) Prec@5 70.312 (66.485)
Epoch: [9][490/5005] Time 0.611 (0.622) Data 0.000 (0.010) Loss 2.5307 (2.6904) Prec@1 45.312 (40.593) Prec@5 69.141 (66.465)
Epoch: [9][500/5005] Time 0.610 (0.621) Data 0.000 (0.010) Loss 2.7352 (2.6911) Prec@1 41.406 (40.577) Prec@5 67.969 (66.448)
Epoch: [9][510/5005] Time 0.612 (0.621) Data 0.000 (0.009) Loss 2.4110 (2.6894) Prec@1 40.234 (40.620) Prec@5 73.828 (66.484)
Epoch: [9][520/5005] Time 0.615 (0.621) Data 0.001 (0.009) Loss 2.7263 (2.6888) Prec@1 40.625 (40.606) Prec@5 65.234 (66.486)
Epoch: [9][530/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 2.8179 (2.6895) Prec@1 38.281 (40.615) Prec@5 68.359 (66.481)
Epoch: [9][540/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 2.8381 (2.6909) Prec@1 37.891 (40.599) Prec@5 64.453 (66.467)
Epoch: [9][550/5005] Time 0.611 (0.621) Data 0.001 (0.009) Loss 2.8159 (2.6923) Prec@1 39.453 (40.579) Prec@5 61.719 (66.438)
Epoch: [9][560/5005] Time 0.617 (0.621) Data 0.000 (0.009) Loss 2.6885 (2.6909) Prec@1 43.750 (40.599) Prec@5 64.062 (66.468)
Epoch: [9][570/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 2.7998 (2.6904) Prec@1 41.797 (40.606) Prec@5 64.844 (66.471)
Epoch: [9][580/5005] Time 0.613 (0.620) Data 0.001 (0.008) Loss 2.5595 (2.6910) Prec@1 43.750 (40.625) Prec@5 70.312 (66.473)
Epoch: [9][590/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 2.7583 (2.6911) Prec@1 42.969 (40.624) Prec@5 64.453 (66.462)
Epoch: [9][600/5005] Time 0.617 (0.620) Data 0.000 (0.008) Loss 2.8494 (2.6924) Prec@1 35.156 (40.602) Prec@5 66.797 (66.453)
Epoch: [9][610/5005] Time 0.612 (0.620) Data 0.000 (0.008) Loss 2.8402 (2.6918) Prec@1 41.016 (40.603) Prec@5 64.453 (66.452)
Epoch: [9][620/5005] Time 0.619 (0.620) Data 0.000 (0.008) Loss 2.7150 (2.6921) Prec@1 41.797 (40.607) Prec@5 67.578 (66.452)
Epoch: [9][630/5005] Time 0.609 (0.620) Data 0.000 (0.008) Loss 2.8153 (2.6936) Prec@1 36.328 (40.576) Prec@5 63.281 (66.430)
Epoch: [9][640/5005] Time 0.607 (0.620) Data 0.000 (0.008) Loss 2.5720 (2.6941) Prec@1 44.922 (40.584) Prec@5 66.016 (66.426)
Epoch: [9][650/5005] Time 0.614 (0.620) Data 0.000 (0.007) Loss 2.8152 (2.6937) Prec@1 37.500 (40.582) Prec@5 66.406 (66.448)
Epoch: [9][660/5005] Time 0.607 (0.620) Data 0.000 (0.007) Loss 2.4197 (2.6929) Prec@1 48.438 (40.588) Prec@5 70.312 (66.464)
Epoch: [9][670/5005] Time 0.611 (0.619) Data 0.001 (0.007) Loss 2.7283 (2.6933) Prec@1 42.188 (40.618) Prec@5 66.797 (66.453)
Epoch: [9][680/5005] Time 0.615 (0.619) Data 0.000 (0.007) Loss 2.5217 (2.6936) Prec@1 44.922 (40.610) Prec@5 68.750 (66.462)
Epoch: [9][690/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 2.5775 (2.6930) Prec@1 40.234 (40.604) Prec@5 66.406 (66.461)
Epoch: [9][700/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.6592 (2.6922) Prec@1 42.188 (40.619) Prec@5 67.969 (66.483)
Epoch: [9][710/5005] Time 0.615 (0.619) Data 0.000 (0.007) Loss 2.6862 (2.6923) Prec@1 42.578 (40.613) Prec@5 65.234 (66.486)
Epoch: [9][720/5005] Time 0.609 (0.619) Data 0.000 (0.007) Loss 2.8020 (2.6923) Prec@1 39.062 (40.632) Prec@5 64.844 (66.481)
Epoch: [9][730/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.7430 (2.6927) Prec@1 38.672 (40.612) Prec@5 62.500 (66.461)
Epoch: [9][740/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 2.8099 (2.6945) Prec@1 36.328 (40.585) Prec@5 64.062 (66.431)
Epoch: [9][750/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.7118 (2.6949) Prec@1 39.062 (40.589) Prec@5 64.844 (66.432)
Epoch: [9][760/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 2.7847 (2.6945) Prec@1 41.406 (40.594) Prec@5 60.938 (66.417)
Epoch: [9][770/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 2.9902 (2.6955) Prec@1 37.891 (40.579) Prec@5 60.938 (66.396)
Epoch: [9][780/5005] Time 0.616 (0.619) Data 0.000 (0.006) Loss 2.6761 (2.6971) Prec@1 41.016 (40.551) Prec@5 66.016 (66.366)
Epoch: [9][790/5005] Time 0.614 (0.619) Data 0.000 (0.006) Loss 2.8199 (2.6969) Prec@1 41.797 (40.560) Prec@5 66.406 (66.358)
Epoch: [9][800/5005] Time 0.621 (0.618) Data 0.000 (0.006) Loss 2.7710 (2.6975) Prec@1 35.938 (40.569) Prec@5 65.234 (66.356)
Epoch: [9][810/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 3.0175 (2.6987) Prec@1 38.281 (40.563) Prec@5 61.719 (66.338)
Epoch: [9][820/5005] Time 0.606 (0.618) Data 0.000 (0.006) Loss 2.4921 (2.6975) Prec@1 47.656 (40.588) Prec@5 66.797 (66.360)
Epoch: [9][830/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 2.5218 (2.6970) Prec@1 41.406 (40.599) Prec@5 70.312 (66.376)
Epoch: [9][840/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 2.6026 (2.6972) Prec@1 39.453 (40.585) Prec@5 69.141 (66.383)
Epoch: [9][850/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 2.5776 (2.6970) Prec@1 44.141 (40.592) Prec@5 69.531 (66.385)
Epoch: [9][860/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 3.0102 (2.6978) Prec@1 31.641 (40.586) Prec@5 60.938 (66.363)
Epoch: [9][870/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 2.6615 (2.6980) Prec@1 37.109 (40.577) Prec@5 67.969 (66.367)
Epoch: [9][880/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.6486 (2.6972) Prec@1 39.062 (40.583) Prec@5 67.578 (66.376)
Epoch: [9][890/5005] Time 0.616 (0.618) Data 0.000 (0.006) Loss 2.5849 (2.6972) Prec@1 44.141 (40.582) Prec@5 66.406 (66.371)
Epoch: [9][900/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 3.0201 (2.6972) Prec@1 34.766 (40.574) Prec@5 58.984 (66.361)
Epoch: [9][910/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 2.7197 (2.6969) Prec@1 38.672 (40.577) Prec@5 61.719 (66.374)
Epoch: [9][920/5005] Time 0.623 (0.618) Data 0.000 (0.005) Loss 2.7448 (2.6972) Prec@1 42.969 (40.566) Prec@5 66.797 (66.377)
Epoch: [9][930/5005] Time 0.607 (0.618) Data 0.000 (0.005) Loss 2.6979 (2.6979) Prec@1 37.109 (40.552) Prec@5 68.750 (66.371)
Epoch: [9][940/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 2.8362 (2.6990) Prec@1 36.719 (40.527) Prec@5 62.891 (66.350)
Epoch: [9][950/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 3.0067 (2.6990) Prec@1 35.156 (40.524) Prec@5 58.594 (66.350)
Epoch: [9][960/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 2.6053 (2.6990) Prec@1 42.578 (40.521) Prec@5 68.359 (66.346)
Epoch: [9][970/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 2.8061 (2.6992) Prec@1 35.547 (40.516) Prec@5 62.891 (66.334)
Epoch: [9][980/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 2.4819 (2.6987) Prec@1 42.969 (40.526) Prec@5 69.922 (66.345)
Epoch: [9][990/5005] Time 0.612 (0.618) Data 0.000 (0.005) Loss 2.9216 (2.6984) Prec@1 40.234 (40.526) Prec@5 64.062 (66.353)
Epoch: [9][1000/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.6996 (2.6986) Prec@1 42.188 (40.524) Prec@5 67.578 (66.348)
Epoch: [9][1010/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 2.6306 (2.6990) Prec@1 42.188 (40.511) Prec@5 67.188 (66.350)
Epoch: [9][1020/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.8036 (2.6991) Prec@1 37.891 (40.503) Prec@5 66.016 (66.345)
Epoch: [9][1030/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 2.4757 (2.6983) Prec@1 43.359 (40.529) Prec@5 67.969 (66.356)
Epoch: [9][1040/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.6664 (2.6980) Prec@1 42.188 (40.544) Prec@5 66.406 (66.358)
Epoch: [9][1050/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.6923 (2.6982) Prec@1 42.578 (40.545) Prec@5 65.234 (66.350)
Epoch: [9][1060/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.6998 (2.6982) Prec@1 40.234 (40.540) Prec@5 69.922 (66.353)
Epoch: [9][1070/5005] Time 0.610 (0.617) Data 0.001 (0.005) Loss 2.5203 (2.6984) Prec@1 40.625 (40.534) Prec@5 69.141 (66.349)
Epoch: [9][1080/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 2.9739 (2.6989) Prec@1 39.062 (40.525) Prec@5 62.109 (66.344)
Epoch: [9][1090/5005] Time 0.616 (0.617) Data 0.001 (0.005) Loss 2.6888 (2.6988) Prec@1 41.797 (40.524) Prec@5 69.141 (66.346)
Epoch: [9][1100/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 2.7608 (2.6988) Prec@1 37.109 (40.520) Prec@5 66.406 (66.352)
Epoch: [9][1110/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.7061 (2.6986) Prec@1 41.406 (40.521) Prec@5 67.188 (66.354)
Epoch: [9][1120/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 2.4528 (2.6982) Prec@1 42.969 (40.531) Prec@5 68.750 (66.351)
Epoch: [9][1130/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 2.8828 (2.6990) Prec@1 36.719 (40.522) Prec@5 62.500 (66.343)
Epoch: [9][1140/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.7329 (2.6985) Prec@1 37.109 (40.528) Prec@5 67.578 (66.346)
Epoch: [9][1150/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5554 (2.6986) Prec@1 42.969 (40.521) Prec@5 67.188 (66.342)
Epoch: [9][1160/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.9033 (2.6992) Prec@1 39.062 (40.521) Prec@5 66.406 (66.339)
Epoch: [9][1170/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.7661 (2.6992) Prec@1 37.891 (40.521) Prec@5 66.016 (66.344)
Epoch: [9][1180/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.9434 (2.6992) Prec@1 37.109 (40.524) Prec@5 62.500 (66.346)
Epoch: [9][1190/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.5382 (2.6989) Prec@1 44.922 (40.531) Prec@5 68.750 (66.353)
Epoch: [9][1200/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.9751 (2.6998) Prec@1 39.062 (40.516) Prec@5 62.500 (66.341)
Epoch: [9][1210/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.5687 (2.6997) Prec@1 44.531 (40.515) Prec@5 69.141 (66.345)
Epoch: [9][1220/5005] Time 0.607 (0.617) Data 0.000 (0.004) Loss 2.7045 (2.7000) Prec@1 42.578 (40.505) Prec@5 67.969 (66.338)
Epoch: [9][1230/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.9242 (2.7002) Prec@1 37.891 (40.500) Prec@5 63.672 (66.337)
Epoch: [9][1240/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.4587 (2.7004) Prec@1 49.219 (40.506) Prec@5 70.312 (66.335)
Epoch: [9][1250/5005] Time 0.614 (0.617) Data 0.001 (0.004) Loss 2.8003 (2.7004) Prec@1 44.141 (40.511) Prec@5 67.188 (66.341)
Epoch: [9][1260/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.7899 (2.7009) Prec@1 37.891 (40.500) Prec@5 62.109 (66.332)
Epoch: [9][1270/5005] Time 0.606 (0.617) Data 0.000 (0.004) Loss 2.5467 (2.7005) Prec@1 41.016 (40.500) Prec@5 70.312 (66.330)
Epoch: [9][1280/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.5305 (2.7002) Prec@1 43.750 (40.504) Prec@5 69.531 (66.339)
Epoch: [9][1290/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.8928 (2.7001) Prec@1 37.891 (40.512) Prec@5 65.625 (66.347)
Epoch: [9][1300/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 2.5181 (2.6993) Prec@1 41.406 (40.524) Prec@5 70.703 (66.359)
Epoch: [9][1310/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.7742 (2.6994) Prec@1 37.109 (40.517) Prec@5 64.453 (66.355)
Epoch: [9][1320/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.8917 (2.6995) Prec@1 43.750 (40.525) Prec@5 63.281 (66.349)
Epoch: [9][1330/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.7749 (2.6994) Prec@1 38.281 (40.521) Prec@5 60.547 (66.349)
Epoch: [9][1340/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.6786 (2.6991) Prec@1 41.406 (40.521) Prec@5 67.188 (66.351)
Epoch: [9][1350/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.6923 (2.6983) Prec@1 37.500 (40.529) Prec@5 69.141 (66.367)
Epoch: [9][1360/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.7593 (2.6992) Prec@1 39.844 (40.515) Prec@5 65.234 (66.354)
Epoch: [9][1370/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.7952 (2.6992) Prec@1 37.500 (40.525) Prec@5 62.891 (66.353)
Epoch: [9][1380/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.6548 (2.6992) Prec@1 41.406 (40.526) Prec@5 68.750 (66.361)
Epoch: [9][1390/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.8835 (2.6992) Prec@1 40.234 (40.527) Prec@5 59.766 (66.360)
Epoch: [9][1400/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.8588 (2.6990) Prec@1 42.578 (40.535) Prec@5 58.594 (66.354)
Epoch: [9][1410/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.4444 (2.6987) Prec@1 46.875 (40.543) Prec@5 71.875 (66.363)
Epoch: [9][1420/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 2.6390 (2.6985) Prec@1 41.016 (40.549) Prec@5 68.359 (66.372)
Epoch: [9][1430/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 2.7451 (2.6980) Prec@1 42.188 (40.554) Prec@5 65.625 (66.384)
Epoch: [9][1440/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.7666 (2.6979) Prec@1 38.672 (40.557) Prec@5 61.719 (66.378)
Epoch: [9][1450/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 2.6493 (2.6984) Prec@1 39.453 (40.547) Prec@5 64.453 (66.366)
Epoch: [9][1460/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 2.4530 (2.6987) Prec@1 44.531 (40.545) Prec@5 67.578 (66.358)
Epoch: [9][1470/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.5444 (2.6982) Prec@1 42.188 (40.555) Prec@5 69.141 (66.375)
Epoch: [9][1480/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.8217 (2.6983) Prec@1 36.719 (40.560) Prec@5 66.797 (66.371)
Epoch: [9][1490/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.6305 (2.6983) Prec@1 39.844 (40.558) Prec@5 65.625 (66.370)
Epoch: [9][1500/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.5945 (2.6989) Prec@1 42.188 (40.547) Prec@5 66.406 (66.357)
Epoch: [9][1510/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.7378 (2.6990) Prec@1 38.281 (40.543) Prec@5 67.578 (66.355)
Epoch: [9][1520/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6891 (2.6994) Prec@1 41.406 (40.543) Prec@5 67.969 (66.346)
Epoch: [9][1530/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.8222 (2.6994) Prec@1 37.109 (40.537) Prec@5 62.109 (66.347)
Epoch: [9][1540/5005] Time 0.623 (0.616) Data 0.000 (0.003) Loss 2.6592 (2.6991) Prec@1 37.891 (40.540) Prec@5 67.578 (66.354)
Epoch: [9][1550/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.6380 (2.6988) Prec@1 46.094 (40.549) Prec@5 67.578 (66.359)
Epoch: [9][1560/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.4540 (2.6985) Prec@1 45.312 (40.555) Prec@5 71.875 (66.358)
Epoch: [9][1570/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.7445 (2.6982) Prec@1 38.672 (40.562) Prec@5 68.359 (66.366)
Epoch: [9][1580/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.6642 (2.6982) Prec@1 42.578 (40.567) Prec@5 66.797 (66.364)
Epoch: [9][1590/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.9183 (2.6983) Prec@1 41.016 (40.572) Prec@5 66.016 (66.363)
Epoch: [9][1600/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.6766 (2.6982) Prec@1 37.500 (40.565) Prec@5 64.453 (66.359)
Epoch: [9][1610/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.8815 (2.6984) Prec@1 37.500 (40.560) Prec@5 63.281 (66.356)
Epoch: [9][1620/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.8172 (2.6985) Prec@1 38.672 (40.563) Prec@5 65.625 (66.355)
Epoch: [9][1630/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.7312 (2.6983) Prec@1 37.109 (40.557) Prec@5 64.062 (66.357)
Epoch: [9][1640/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.6165 (2.6978) Prec@1 42.188 (40.567) Prec@5 67.188 (66.365)
Epoch: [9][1650/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.6206 (2.6977) Prec@1 43.750 (40.572) Prec@5 67.188 (66.365)
Epoch: [9][1660/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.7987 (2.6976) Prec@1 37.500 (40.570) Prec@5 65.625 (66.368)
Epoch: [9][1670/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.7997 (2.6976) Prec@1 39.844 (40.570) Prec@5 63.672 (66.366)
Epoch: [9][1680/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 3.0317 (2.6976) Prec@1 37.500 (40.574) Prec@5 60.938 (66.367)
Epoch: [9][1690/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 2.6287 (2.6978) Prec@1 42.188 (40.573) Prec@5 67.969 (66.368)
Epoch: [9][1700/5005] Time 0.610 (0.616) Data 0.001 (0.003) Loss 2.8393 (2.6976) Prec@1 36.328 (40.576) Prec@5 60.156 (66.370)
Epoch: [9][1710/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6774 (2.6975) Prec@1 41.797 (40.570) Prec@5 64.844 (66.371)
Epoch: [9][1720/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.7567 (2.6976) Prec@1 43.359 (40.574) Prec@5 68.359 (66.374)
Epoch: [9][1730/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.6691 (2.6976) Prec@1 44.922 (40.585) Prec@5 66.406 (66.367)
Epoch: [9][1740/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.8556 (2.6975) Prec@1 39.453 (40.585) Prec@5 62.891 (66.370)
Epoch: [9][1750/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.5874 (2.6974) Prec@1 43.359 (40.591) Prec@5 66.797 (66.364)
Epoch: [9][1760/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.5703 (2.6976) Prec@1 41.797 (40.588) Prec@5 67.188 (66.359)
Epoch: [9][1770/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.7581 (2.6977) Prec@1 39.453 (40.591) Prec@5 68.359 (66.360)
Epoch: [9][1780/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.3897 (2.6975) Prec@1 46.484 (40.600) Prec@5 73.828 (66.359)
Epoch: [9][1790/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.4146 (2.6974) Prec@1 46.094 (40.605) Prec@5 72.266 (66.361)
Epoch: [9][1800/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.8513 (2.6972) Prec@1 35.938 (40.607) Prec@5 64.062 (66.364)
Epoch: [9][1810/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.4972 (2.6971) Prec@1 41.406 (40.606) Prec@5 70.703 (66.364)
Epoch: [9][1820/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.7875 (2.6971) Prec@1 39.844 (40.617) Prec@5 63.672 (66.368)
Epoch: [9][1830/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6460 (2.6966) Prec@1 40.234 (40.629) Prec@5 67.969 (66.374)
Epoch: [9][1840/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.5293 (2.6967) Prec@1 46.094 (40.638) Prec@5 68.750 (66.372)
Epoch: [9][1850/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.4672 (2.6970) Prec@1 42.578 (40.638) Prec@5 71.094 (66.366)
Epoch: [9][1860/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.6304 (2.6966) Prec@1 42.188 (40.649) Prec@5 66.797 (66.374)
Epoch: [9][1870/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.7384 (2.6963) Prec@1 42.578 (40.654) Prec@5 67.188 (66.383)
Epoch: [9][1880/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.7938 (2.6964) Prec@1 37.109 (40.650) Prec@5 62.500 (66.383)
Epoch: [9][1890/5005] Time 0.603 (0.616) Data 0.000 (0.003) Loss 2.7829 (2.6964) Prec@1 38.672 (40.647) Prec@5 66.406 (66.380)
Epoch: [9][1900/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.6920 (2.6963) Prec@1 35.938 (40.650) Prec@5 67.969 (66.380)
Epoch: [9][1910/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.8134 (2.6962) Prec@1 39.453 (40.653) Prec@5 64.062 (66.378)
Epoch: [9][1920/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.8603 (2.6962) Prec@1 42.188 (40.650) Prec@5 65.625 (66.382)
Epoch: [9][1930/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.4808 (2.6962) Prec@1 42.969 (40.653) Prec@5 69.922 (66.383)
Epoch: [9][1940/5005] Time 0.610 (0.616) Data 0.001 (0.003) Loss 2.6267 (2.6963) Prec@1 41.016 (40.647) Prec@5 64.844 (66.384)
Epoch: [9][1950/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.4826 (2.6964) Prec@1 43.359 (40.640) Prec@5 65.625 (66.375)
Epoch: [9][1960/5005] Time 0.614 (0.615) Data 0.001 (0.003) Loss 2.7207 (2.6966) Prec@1 41.797 (40.637) Prec@5 66.797 (66.375)
Epoch: [9][1970/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.7438 (2.6968) Prec@1 42.578 (40.636) Prec@5 68.359 (66.377)
Epoch: [9][1980/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.6476 (2.6963) Prec@1 42.969 (40.647) Prec@5 65.625 (66.383)
Epoch: [9][1990/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.9285 (2.6964) Prec@1 41.406 (40.645) Prec@5 64.062 (66.379)
Epoch: [9][2000/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.8427 (2.6962) Prec@1 41.797 (40.647) Prec@5 63.672 (66.385)
Epoch: [9][2010/5005] Time 0.609 (0.615) Data 0.001 (0.003) Loss 2.7741 (2.6961) Prec@1 37.500 (40.652) Prec@5 62.500 (66.381)
Epoch: [9][2020/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.8556 (2.6959) Prec@1 35.156 (40.658) Prec@5 65.234 (66.387)
Epoch: [9][2030/5005] Time 0.605 (0.615) Data 0.000 (0.003) Loss 2.8133 (2.6957) Prec@1 41.406 (40.663) Prec@5 65.625 (66.390)
Epoch: [9][2040/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.8531 (2.6955) Prec@1 33.984 (40.666) Prec@5 61.719 (66.392)
Epoch: [9][2050/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.6197 (2.6955) Prec@1 44.141 (40.665) Prec@5 67.969 (66.393)
Epoch: [9][2060/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.6356 (2.6956) Prec@1 41.797 (40.669) Prec@5 69.141 (66.389)
Epoch: [9][2070/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.7889 (2.6959) Prec@1 40.234 (40.661) Prec@5 67.578 (66.387)
Epoch: [9][2080/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.6759 (2.6957) Prec@1 43.750 (40.669) Prec@5 68.359 (66.393)
Epoch: [9][2090/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8915 (2.6958) Prec@1 39.062 (40.665) Prec@5 62.891 (66.389)
Epoch: [9][2100/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 2.7031 (2.6959) Prec@1 41.016 (40.665) Prec@5 69.141 (66.392)
Epoch: [9][2110/5005] Time 0.623 (0.615) Data 0.000 (0.003) Loss 2.7892 (2.6958) Prec@1 39.062 (40.667) Prec@5 66.406 (66.391)
Epoch: [9][2120/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.4170 (2.6958) Prec@1 42.188 (40.660) Prec@5 75.000 (66.393)
Epoch: [9][2130/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.5887 (2.6959) Prec@1 44.531 (40.662) Prec@5 69.531 (66.395)
Epoch: [9][2140/5005] Time 0.601 (0.615) Data 0.000 (0.003) Loss 2.6284 (2.6959) Prec@1 38.281 (40.661) Prec@5 67.578 (66.395)
Epoch: [9][2150/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8088 (2.6957) Prec@1 40.234 (40.666) Prec@5 66.016 (66.400)
Epoch: [9][2160/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.5992 (2.6958) Prec@1 45.312 (40.664) Prec@5 68.359 (66.397)
Epoch: [9][2170/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.6026 (2.6955) Prec@1 41.406 (40.672) Prec@5 70.703 (66.405)
Epoch: [9][2180/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.6112 (2.6952) Prec@1 42.188 (40.677) Prec@5 66.797 (66.412)
Epoch: [9][2190/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.5415 (2.6953) Prec@1 41.016 (40.675) Prec@5 68.750 (66.416)
Epoch: [9][2200/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.7725 (2.6953) Prec@1 36.328 (40.680) Prec@5 64.453 (66.416)
Epoch: [9][2210/5005] Time 0.607 (0.615) Data 0.001 (0.003) Loss 2.8381 (2.6956) Prec@1 38.672 (40.680) Prec@5 64.453 (66.411)
Epoch: [9][2220/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.7748 (2.6958) Prec@1 38.281 (40.676) Prec@5 66.016 (66.407)
Epoch: [9][2230/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.6063 (2.6960) Prec@1 44.922 (40.670) Prec@5 68.359 (66.403)
Epoch: [9][2240/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6015 (2.6958) Prec@1 47.656 (40.675) Prec@5 69.922 (66.410)
Epoch: [9][2250/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.3874 (2.6954) Prec@1 50.000 (40.681) Prec@5 74.219 (66.417)
Epoch: [9][2260/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4806 (2.6949) Prec@1 43.750 (40.690) Prec@5 69.531 (66.425)
Epoch: [9][2270/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8826 (2.6951) Prec@1 40.234 (40.691) Prec@5 64.453 (66.420)
Epoch: [9][2280/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5680 (2.6951) Prec@1 46.484 (40.691) Prec@5 72.266 (66.424)
Epoch: [9][2290/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8617 (2.6945) Prec@1 41.406 (40.700) Prec@5 66.406 (66.435)
Epoch: [9][2300/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7669 (2.6947) Prec@1 41.797 (40.702) Prec@5 63.672 (66.432)
Epoch: [9][2310/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.7671 (2.6948) Prec@1 36.328 (40.700) Prec@5 65.234 (66.430)
Epoch: [9][2320/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8139 (2.6948) Prec@1 39.844 (40.707) Prec@5 66.797 (66.431)
Epoch: [9][2330/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.7713 (2.6945) Prec@1 38.281 (40.712) Prec@5 66.016 (66.434)
Epoch: [9][2340/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6277 (2.6946) Prec@1 43.359 (40.715) Prec@5 68.359 (66.434)
Epoch: [9][2350/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7943 (2.6942) Prec@1 39.844 (40.721) Prec@5 65.625 (66.442)
Epoch: [9][2360/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9571 (2.6938) Prec@1 35.938 (40.726) Prec@5 60.156 (66.444)
Epoch: [9][2370/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.5664 (2.6934) Prec@1 39.453 (40.735) Prec@5 69.922 (66.448)
Epoch: [9][2380/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8982 (2.6933) Prec@1 39.062 (40.738) Prec@5 60.938 (66.449)
Epoch: [9][2390/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 3.0407 (2.6933) Prec@1 37.500 (40.742) Prec@5 58.984 (66.446)
Epoch: [9][2400/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7470 (2.6933) Prec@1 37.891 (40.742) Prec@5 67.578 (66.444)
Epoch: [9][2410/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.7633 (2.6932) Prec@1 39.453 (40.744) Prec@5 64.453 (66.446)
Epoch: [9][2420/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6918 (2.6933) Prec@1 42.578 (40.742) Prec@5 70.312 (66.445)
Epoch: [9][2430/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7820 (2.6932) Prec@1 38.672 (40.739) Prec@5 63.672 (66.446)
Epoch: [9][2440/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 2.4601 (2.6930) Prec@1 44.141 (40.744) Prec@5 71.094 (66.456)
Epoch: [9][2450/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6065 (2.6925) Prec@1 44.922 (40.749) Prec@5 68.750 (66.464)
Epoch: [9][2460/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.6405 (2.6925) Prec@1 36.328 (40.749) Prec@5 69.531 (66.467)
Epoch: [9][2470/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 2.3991 (2.6923) Prec@1 44.922 (40.748) Prec@5 71.094 (66.471)
Epoch: [9][2480/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7253 (2.6926) Prec@1 39.844 (40.745) Prec@5 63.281 (66.466)
Epoch: [9][2490/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6094 (2.6927) Prec@1 46.875 (40.742) Prec@5 70.312 (66.467)
Epoch: [9][2500/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.4816 (2.6927) Prec@1 44.531 (40.742) Prec@5 73.438 (66.471)
Epoch: [9][2510/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8438 (2.6927) Prec@1 43.750 (40.747) Prec@5 61.719 (66.472)
Epoch: [9][2520/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6489 (2.6926) Prec@1 45.312 (40.752) Prec@5 69.141 (66.478)
Epoch: [9][2530/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7108 (2.6924) Prec@1 39.844 (40.756) Prec@5 66.406 (66.483)
Epoch: [9][2540/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.5523 (2.6920) Prec@1 46.875 (40.764) Prec@5 67.578 (66.490)
Epoch: [9][2550/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5258 (2.6919) Prec@1 43.750 (40.765) Prec@5 69.531 (66.494)
Epoch: [9][2560/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5986 (2.6919) Prec@1 40.234 (40.767) Prec@5 67.188 (66.496)
Epoch: [9][2570/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 3.0572 (2.6923) Prec@1 34.375 (40.759) Prec@5 54.297 (66.486)
Epoch: [9][2580/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7891 (2.6925) Prec@1 38.281 (40.755) Prec@5 69.531 (66.484)
Epoch: [9][2590/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7561 (2.6928) Prec@1 39.844 (40.752) Prec@5 68.359 (66.480)
Epoch: [9][2600/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8776 (2.6931) Prec@1 39.062 (40.750) Prec@5 66.797 (66.476)
Epoch: [9][2610/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6629 (2.6931) Prec@1 41.797 (40.753) Prec@5 68.750 (66.475)
Epoch: [9][2620/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7776 (2.6932) Prec@1 41.016 (40.756) Prec@5 64.844 (66.472)
Epoch: [9][2630/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9602 (2.6931) Prec@1 38.281 (40.759) Prec@5 62.891 (66.478)
Epoch: [9][2640/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6662 (2.6931) Prec@1 42.969 (40.760) Prec@5 66.797 (66.478)
Epoch: [9][2650/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.8519 (2.6932) Prec@1 41.797 (40.756) Prec@5 64.453 (66.482)
Epoch: [9][2660/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7233 (2.6933) Prec@1 42.188 (40.755) Prec@5 67.188 (66.480)
Epoch: [9][2670/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8234 (2.6934) Prec@1 39.062 (40.751) Prec@5 64.844 (66.478)
Epoch: [9][2680/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.5947 (2.6933) Prec@1 46.094 (40.757) Prec@5 67.969 (66.482)
Epoch: [9][2690/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5928 (2.6929) Prec@1 42.578 (40.763) Prec@5 65.625 (66.488)
Epoch: [9][2700/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5766 (2.6929) Prec@1 46.875 (40.764) Prec@5 65.625 (66.492)
Epoch: [9][2710/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4745 (2.6930) Prec@1 41.797 (40.761) Prec@5 68.750 (66.490)
Epoch: [9][2720/5005] Time 0.619 (0.615) Data 0.001 (0.002) Loss 2.5249 (2.6930) Prec@1 42.969 (40.758) Prec@5 68.359 (66.488)
Epoch: [9][2730/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.6303 (2.6930) Prec@1 42.188 (40.756) Prec@5 67.188 (66.489)
Epoch: [9][2740/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5049 (2.6929) Prec@1 43.750 (40.758) Prec@5 71.875 (66.492)
Epoch: [9][2750/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5709 (2.6928) Prec@1 39.062 (40.757) Prec@5 64.453 (66.492)
Epoch: [9][2760/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 2.4093 (2.6927) Prec@1 41.797 (40.758) Prec@5 73.047 (66.497)
Epoch: [9][2770/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.7112 (2.6929) Prec@1 43.750 (40.759) Prec@5 66.797 (66.496)
Epoch: [9][2780/5005] Time 0.605 (0.615) Data 0.001 (0.002) Loss 2.7654 (2.6928) Prec@1 39.844 (40.761) Prec@5 65.234 (66.495)
Epoch: [9][2790/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8437 (2.6928) Prec@1 40.234 (40.763) Prec@5 63.281 (66.491)
Epoch: [9][2800/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5908 (2.6926) Prec@1 46.484 (40.767) Prec@5 67.969 (66.493)
Epoch: [9][2810/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4935 (2.6925) Prec@1 43.750 (40.770) Prec@5 67.188 (66.496)
Epoch: [9][2820/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7617 (2.6924) Prec@1 37.891 (40.771) Prec@5 64.453 (66.496)
Epoch: [9][2830/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6313 (2.6926) Prec@1 42.188 (40.767) Prec@5 65.234 (66.494)
Epoch: [9][2840/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6655 (2.6923) Prec@1 39.062 (40.776) Prec@5 67.188 (66.498)
Epoch: [9][2850/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5989 (2.6923) Prec@1 39.453 (40.773) Prec@5 68.359 (66.500)
Epoch: [9][2860/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7365 (2.6925) Prec@1 38.281 (40.769) Prec@5 69.531 (66.496)
Epoch: [9][2870/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7771 (2.6928) Prec@1 40.625 (40.763) Prec@5 66.016 (66.493)
Epoch: [9][2880/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.6753 (2.6928) Prec@1 42.188 (40.758) Prec@5 65.234 (66.495)
Epoch: [9][2890/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.5525 (2.6929) Prec@1 41.797 (40.756) Prec@5 67.578 (66.492)
Epoch: [9][2900/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7876 (2.6930) Prec@1 41.016 (40.753) Prec@5 66.016 (66.492)
Epoch: [9][2910/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.7531 (2.6930) Prec@1 41.016 (40.756) Prec@5 67.188 (66.491)
Epoch: [9][2920/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5157 (2.6926) Prec@1 45.312 (40.765) Prec@5 69.922 (66.498)
Epoch: [9][2930/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9616 (2.6925) Prec@1 36.719 (40.770) Prec@5 58.984 (66.497)
Epoch: [9][2940/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.5989 (2.6924) Prec@1 41.016 (40.768) Prec@5 68.750 (66.497)
Epoch: [9][2950/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5958 (2.6923) Prec@1 42.969 (40.768) Prec@5 71.875 (66.502)
Epoch: [9][2960/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4658 (2.6921) Prec@1 42.578 (40.774) Prec@5 68.359 (66.503)
Epoch: [9][2970/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 2.7306 (2.6920) Prec@1 38.672 (40.773) Prec@5 61.328 (66.503)
Epoch: [9][2980/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.5899 (2.6921) Prec@1 44.141 (40.775) Prec@5 69.141 (66.504)
Epoch: [9][2990/5005] Time 0.602 (0.615) Data 0.000 (0.002) Loss 2.6561 (2.6920) Prec@1 43.750 (40.777) Prec@5 66.797 (66.501)
Epoch: [9][3000/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5636 (2.6919) Prec@1 42.578 (40.781) Prec@5 71.875 (66.506)
Epoch: [9][3010/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5534 (2.6919) Prec@1 41.797 (40.780) Prec@5 68.750 (66.504)
Epoch: [9][3020/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.8159 (2.6917) Prec@1 37.891 (40.783) Prec@5 66.406 (66.509)
Epoch: [9][3030/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6833 (2.6918) Prec@1 39.062 (40.781) Prec@5 68.750 (66.510)
Epoch: [9][3040/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3984 (2.6916) Prec@1 47.656 (40.785) Prec@5 71.875 (66.514)
Epoch: [9][3050/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5047 (2.6914) Prec@1 39.844 (40.790) Prec@5 67.578 (66.515)
Epoch: [9][3060/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6979 (2.6914) Prec@1 40.625 (40.785) Prec@5 64.062 (66.512)
Epoch: [9][3070/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6330 (2.6917) Prec@1 38.281 (40.784) Prec@5 66.406 (66.509)
Epoch: [9][3080/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5693 (2.6918) Prec@1 43.359 (40.783) Prec@5 69.141 (66.507)
Epoch: [9][3090/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8769 (2.6916) Prec@1 33.984 (40.786) Prec@5 64.844 (66.511)
Epoch: [9][3100/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6292 (2.6913) Prec@1 44.531 (40.791) Prec@5 67.578 (66.516)
Epoch: [9][3110/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.6852 (2.6910) Prec@1 44.141 (40.797) Prec@5 65.234 (66.518)
Epoch: [9][3120/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4961 (2.6909) Prec@1 42.188 (40.798) Prec@5 68.750 (66.520)
Epoch: [9][3130/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8739 (2.6912) Prec@1 39.062 (40.797) Prec@5 66.016 (66.516)
Epoch: [9][3140/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5966 (2.6911) Prec@1 41.797 (40.798) Prec@5 65.625 (66.516)
Epoch: [9][3150/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.8444 (2.6914) Prec@1 35.938 (40.791) Prec@5 62.109 (66.509)
Epoch: [9][3160/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6987 (2.6915) Prec@1 43.750 (40.791) Prec@5 65.625 (66.509)
Epoch: [9][3170/5005] Time 0.622 (0.615) Data 0.001 (0.002) Loss 2.4661 (2.6913) Prec@1 46.094 (40.793) Prec@5 71.484 (66.513)
Epoch: [9][3180/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8165 (2.6911) Prec@1 37.500 (40.793) Prec@5 63.281 (66.513)
Epoch: [9][3190/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4191 (2.6907) Prec@1 47.656 (40.802) Prec@5 72.266 (66.521)
Epoch: [9][3200/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.9435 (2.6905) Prec@1 39.453 (40.806) Prec@5 62.891 (66.522)
Epoch: [9][3210/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.9113 (2.6905) Prec@1 35.938 (40.806) Prec@5 63.281 (66.522)
Epoch: [9][3220/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.6120 (2.6904) Prec@1 41.406 (40.807) Prec@5 64.844 (66.524)
Epoch: [9][3230/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.7324 (2.6902) Prec@1 42.188 (40.810) Prec@5 66.797 (66.531)
Epoch: [9][3240/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.6323 (2.6899) Prec@1 40.234 (40.817) Prec@5 67.578 (66.535)
Epoch: [9][3250/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5996 (2.6900) Prec@1 42.188 (40.816) Prec@5 72.656 (66.537)
Epoch: [9][3260/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7476 (2.6896) Prec@1 41.406 (40.821) Prec@5 63.281 (66.543)
Epoch: [9][3270/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4341 (2.6895) Prec@1 45.312 (40.822) Prec@5 71.484 (66.546)
Epoch: [9][3280/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.7350 (2.6894) Prec@1 38.281 (40.822) Prec@5 63.281 (66.549)
Epoch: [9][3290/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6132 (2.6892) Prec@1 39.062 (40.821) Prec@5 66.016 (66.552)
Epoch: [9][3300/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5445 (2.6892) Prec@1 44.141 (40.823) Prec@5 68.750 (66.553)
Epoch: [9][3310/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5407 (2.6890) Prec@1 41.406 (40.828) Prec@5 68.750 (66.557)
Epoch: [9][3320/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.7631 (2.6889) Prec@1 39.062 (40.828) Prec@5 65.625 (66.555)
Epoch: [9][3330/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5252 (2.6889) Prec@1 42.578 (40.831) Prec@5 72.266 (66.557)
Epoch: [9][3340/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 3.0949 (2.6889) Prec@1 37.891 (40.834) Prec@5 59.375 (66.555)
Epoch: [9][3350/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5832 (2.6888) Prec@1 39.453 (40.837) Prec@5 67.578 (66.557)
Epoch: [9][3360/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7539 (2.6887) Prec@1 41.016 (40.840) Prec@5 63.281 (66.559)
Epoch: [9][3370/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4919 (2.6884) Prec@1 43.750 (40.845) Prec@5 68.750 (66.564)
Epoch: [9][3380/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5562 (2.6885) Prec@1 43.750 (40.844) Prec@5 68.359 (66.563)
Epoch: [9][3390/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6260 (2.6884) Prec@1 42.188 (40.844) Prec@5 66.797 (66.566)
Epoch: [9][3400/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.8120 (2.6883) Prec@1 39.453 (40.848) Prec@5 66.016 (66.568)
Epoch: [9][3410/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5584 (2.6881) Prec@1 45.312 (40.853) Prec@5 67.969 (66.571)
Epoch: [9][3420/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.8605 (2.6884) Prec@1 37.109 (40.850) Prec@5 64.844 (66.569)
Epoch: [9][3430/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7151 (2.6883) Prec@1 44.531 (40.853) Prec@5 68.359 (66.569)
Epoch: [9][3440/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.2974 (2.6882) Prec@1 46.875 (40.856) Prec@5 76.172 (66.574)
Epoch: [9][3450/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8272 (2.6882) Prec@1 41.797 (40.855) Prec@5 67.188 (66.574)
Epoch: [9][3460/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5898 (2.6882) Prec@1 46.094 (40.859) Prec@5 67.188 (66.574)
Epoch: [9][3470/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6468 (2.6882) Prec@1 41.797 (40.861) Prec@5 65.625 (66.573)
Epoch: [9][3480/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6564 (2.6879) Prec@1 41.016 (40.861) Prec@5 66.406 (66.576)
Epoch: [9][3490/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6059 (2.6876) Prec@1 41.406 (40.861) Prec@5 71.094 (66.583)
Epoch: [9][3500/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7389 (2.6878) Prec@1 41.406 (40.859) Prec@5 63.281 (66.581)
Epoch: [9][3510/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5141 (2.6876) Prec@1 41.797 (40.860) Prec@5 67.188 (66.583)
Epoch: [9][3520/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.5809 (2.6877) Prec@1 41.016 (40.855) Prec@5 71.875 (66.585)
Epoch: [9][3530/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.6441 (2.6878) Prec@1 39.062 (40.854) Prec@5 68.750 (66.584)
Epoch: [9][3540/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8643 (2.6875) Prec@1 37.500 (40.860) Prec@5 59.766 (66.588)
Epoch: [9][3550/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7352 (2.6874) Prec@1 38.281 (40.862) Prec@5 65.234 (66.592)
Epoch: [9][3560/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7868 (2.6872) Prec@1 42.969 (40.863) Prec@5 65.234 (66.593)
Epoch: [9][3570/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4468 (2.6872) Prec@1 45.703 (40.863) Prec@5 71.484 (66.595)
Epoch: [9][3580/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7392 (2.6874) Prec@1 40.625 (40.861) Prec@5 66.016 (66.594)
Epoch: [9][3590/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8251 (2.6875) Prec@1 37.109 (40.859) Prec@5 66.797 (66.592)
Epoch: [9][3600/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.8325 (2.6876) Prec@1 39.453 (40.857) Prec@5 61.328 (66.590)
Epoch: [9][3610/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.6944 (2.6874) Prec@1 46.094 (40.862) Prec@5 67.578 (66.593)
Epoch: [9][3620/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5377 (2.6871) Prec@1 41.797 (40.862) Prec@5 69.922 (66.599)
Epoch: [9][3630/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.7729 (2.6871) Prec@1 42.188 (40.866) Prec@5 65.625 (66.599)
Epoch: [9][3640/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.4730 (2.6869) Prec@1 48.828 (40.868) Prec@5 68.750 (66.599)
Epoch: [9][3650/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8345 (2.6870) Prec@1 38.672 (40.869) Prec@5 62.500 (66.598)
Epoch: [9][3660/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.7924 (2.6871) Prec@1 37.109 (40.867) Prec@5 61.719 (66.593)
Epoch: [9][3670/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.5805 (2.6869) Prec@1 41.797 (40.872) Prec@5 68.750 (66.596)
Epoch: [9][3680/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8051 (2.6868) Prec@1 42.969 (40.873) Prec@5 62.500 (66.599)
Epoch: [9][3690/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.5566 (2.6866) Prec@1 43.359 (40.878) Prec@5 68.750 (66.603)
Epoch: [9][3700/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.7559 (2.6865) Prec@1 41.797 (40.879) Prec@5 66.797 (66.604)
Epoch: [9][3710/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.5911 (2.6865) Prec@1 43.359 (40.881) Prec@5 69.531 (66.605)
Epoch: [9][3720/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.5868 (2.6863) Prec@1 42.578 (40.881) Prec@5 69.141 (66.610)
Epoch: [9][3730/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8332 (2.6864) Prec@1 40.234 (40.882) Prec@5 65.234 (66.609)
Epoch: [9][3740/5005] Time 0.620 (0.614) Data 0.001 (0.002) Loss 2.6511 (2.6861) Prec@1 42.188 (40.887) Prec@5 69.141 (66.613)
Epoch: [9][3750/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 3.0863 (2.6862) Prec@1 33.203 (40.885) Prec@5 63.672 (66.611)
Epoch: [9][3760/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.6961 (2.6863) Prec@1 37.891 (40.884) Prec@5 67.578 (66.612)
Epoch: [9][3770/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.6210 (2.6863) Prec@1 40.625 (40.886) Prec@5 69.922 (66.610)
Epoch: [9][3780/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 2.8469 (2.6863) Prec@1 39.844 (40.885) Prec@5 61.719 (66.608)
Epoch: [9][3790/5005] Time 0.600 (0.614) Data 0.000 (0.002) Loss 2.6375 (2.6864) Prec@1 41.016 (40.882) Prec@5 66.406 (66.605)
Epoch: [9][3800/5005] Time 0.622 (0.614) Data 0.001 (0.002) Loss 2.4874 (2.6861) Prec@1 41.016 (40.886) Prec@5 69.531 (66.611)
Epoch: [9][3810/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.7754 (2.6863) Prec@1 40.234 (40.883) Prec@5 66.406 (66.609)
Epoch: [9][3820/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5990 (2.6862) Prec@1 42.578 (40.887) Prec@5 67.969 (66.612)
Epoch: [9][3830/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.4473 (2.6862) Prec@1 43.750 (40.887) Prec@5 71.094 (66.612)
Epoch: [9][3840/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8382 (2.6864) Prec@1 39.453 (40.884) Prec@5 64.062 (66.609)
Epoch: [9][3850/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.6701 (2.6863) Prec@1 41.016 (40.884) Prec@5 70.703 (66.609)
Epoch: [9][3860/5005] Time 0.618 (0.614) Data 0.001 (0.002) Loss 2.8481 (2.6863) Prec@1 38.281 (40.885) Prec@5 63.281 (66.610)
Epoch: [9][3870/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.8740 (2.6861) Prec@1 37.109 (40.889) Prec@5 66.406 (66.615)
Epoch: [9][3880/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8240 (2.6860) Prec@1 42.578 (40.895) Prec@5 67.578 (66.615)
Epoch: [9][3890/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.7196 (2.6859) Prec@1 39.453 (40.895) Prec@5 66.797 (66.620)
Epoch: [9][3900/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6434 (2.6856) Prec@1 38.672 (40.900) Prec@5 66.016 (66.624)
Epoch: [9][3910/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6072 (2.6854) Prec@1 41.406 (40.902) Prec@5 67.188 (66.630)
Epoch: [9][3920/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 2.9719 (2.6856) Prec@1 35.938 (40.903) Prec@5 62.500 (66.628)
Epoch: [9][3930/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.8881 (2.6855) Prec@1 33.594 (40.908) Prec@5 61.328 (66.631)
Epoch: [9][3940/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.7309 (2.6854) Prec@1 41.797 (40.909) Prec@5 66.016 (66.630)
Epoch: [9][3950/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.7863 (2.6855) Prec@1 38.672 (40.910) Prec@5 67.188 (66.629)
Epoch: [9][3960/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 2.5850 (2.6853) Prec@1 40.234 (40.914) Prec@5 67.969 (66.631)
Epoch: [9][3970/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.7269 (2.6853) Prec@1 39.844 (40.914) Prec@5 64.844 (66.633)
Epoch: [9][3980/5005] Time 0.610 (0.614) Data 0.001 (0.002) Loss 2.6837 (2.6853) Prec@1 39.062 (40.913) Prec@5 67.578 (66.634)
Epoch: [9][3990/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.6512 (2.6851) Prec@1 40.234 (40.918) Prec@5 67.578 (66.637)
Epoch: [9][4000/5005] Time 0.603 (0.614) Data 0.000 (0.002) Loss 2.5687 (2.6849) Prec@1 37.109 (40.921) Prec@5 68.359 (66.640)
Epoch: [9][4010/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.5354 (2.6848) Prec@1 43.359 (40.922) Prec@5 69.531 (66.643)
Epoch: [9][4020/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.7786 (2.6847) Prec@1 41.797 (40.923) Prec@5 65.234 (66.645)
Epoch: [9][4030/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6466 (2.6847) Prec@1 40.625 (40.923) Prec@5 67.578 (66.645)
Epoch: [9][4040/5005] Time 0.625 (0.614) Data 0.000 (0.002) Loss 2.7269 (2.6849) Prec@1 39.844 (40.920) Prec@5 69.922 (66.644)
Epoch: [9][4050/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.8128 (2.6848) Prec@1 41.797 (40.922) Prec@5 66.797 (66.645)
Epoch: [9][4060/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.3449 (2.6846) Prec@1 47.656 (40.924) Prec@5 70.312 (66.648)
Epoch: [9][4070/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.7279 (2.6845) Prec@1 39.062 (40.922) Prec@5 67.188 (66.650)
Epoch: [9][4080/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.5377 (2.6845) Prec@1 43.750 (40.925) Prec@5 67.188 (66.650)
Epoch: [9][4090/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.6947 (2.6843) Prec@1 36.719 (40.927) Prec@5 64.844 (66.654)
Epoch: [9][4100/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.5089 (2.6843) Prec@1 44.531 (40.930) Prec@5 68.750 (66.655)
Epoch: [9][4110/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 2.7457 (2.6842) Prec@1 40.234 (40.933) Prec@5 65.234 (66.659)
Epoch: [9][4120/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8972 (2.6843) Prec@1 41.406 (40.930) Prec@5 63.672 (66.658)
Epoch: [9][4130/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.2241 (2.6843) Prec@1 48.047 (40.931) Prec@5 72.656 (66.660)
Epoch: [9][4140/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.3762 (2.6840) Prec@1 44.922 (40.939) Prec@5 71.484 (66.664)
Epoch: [9][4150/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6755 (2.6840) Prec@1 42.969 (40.940) Prec@5 69.922 (66.669)
Epoch: [9][4160/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.6450 (2.6839) Prec@1 40.625 (40.941) Prec@5 67.578 (66.671)
Epoch: [9][4170/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.6831 (2.6839) Prec@1 41.797 (40.941) Prec@5 66.797 (66.671)
Epoch: [9][4180/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5328 (2.6839) Prec@1 45.703 (40.944) Prec@5 67.578 (66.671)
Epoch: [9][4190/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.7727 (2.6836) Prec@1 35.156 (40.949) Prec@5 66.797 (66.676)
Epoch: [9][4200/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.8333 (2.6836) Prec@1 39.844 (40.951) Prec@5 64.844 (66.675)
Epoch: [9][4210/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.3077 (2.6832) Prec@1 46.875 (40.958) Prec@5 73.438 (66.683)
Epoch: [9][4220/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4706 (2.6831) Prec@1 48.047 (40.959) Prec@5 67.188 (66.684)
Epoch: [9][4230/5005] Time 0.608 (0.614) Data 0.001 (0.002) Loss 2.8286 (2.6832) Prec@1 38.672 (40.961) Prec@5 61.719 (66.682)
Epoch: [9][4240/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3402 (2.6829) Prec@1 43.750 (40.965) Prec@5 71.484 (66.685)
Epoch: [9][4250/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6784 (2.6831) Prec@1 40.625 (40.959) Prec@5 65.625 (66.681)
Epoch: [9][4260/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.8208 (2.6832) Prec@1 38.672 (40.959) Prec@5 61.328 (66.677)
Epoch: [9][4270/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.7070 (2.6833) Prec@1 46.484 (40.958) Prec@5 67.578 (66.680)
Epoch: [9][4280/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.4579 (2.6830) Prec@1 42.969 (40.964) Prec@5 71.484 (66.685)
Epoch: [9][4290/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.5221 (2.6829) Prec@1 42.969 (40.970) Prec@5 71.484 (66.689)
Epoch: [9][4300/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4867 (2.6827) Prec@1 47.266 (40.975) Prec@5 66.016 (66.692)
Epoch: [9][4310/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.5660 (2.6827) Prec@1 42.188 (40.977) Prec@5 69.922 (66.689)
Epoch: [9][4320/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8013 (2.6826) Prec@1 39.844 (40.982) Prec@5 66.406 (66.689)
Epoch: [9][4330/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.6817 (2.6825) Prec@1 40.625 (40.982) Prec@5 65.625 (66.692)
Epoch: [9][4340/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.6754 (2.6825) Prec@1 37.109 (40.983) Prec@5 66.797 (66.692)
Epoch: [9][4350/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.7764 (2.6825) Prec@1 39.453 (40.983) Prec@5 65.234 (66.690)
Epoch: [9][4360/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.5105 (2.6825) Prec@1 46.094 (40.985) Prec@5 72.266 (66.694)
Epoch: [9][4370/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.9068 (2.6823) Prec@1 36.328 (40.988) Prec@5 64.453 (66.698)
Epoch: [9][4380/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.7703 (2.6822) Prec@1 35.547 (40.987) Prec@5 66.797 (66.702)
Epoch: [9][4390/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.6526 (2.6821) Prec@1 41.406 (40.992) Prec@5 68.750 (66.705)
Epoch: [9][4400/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6721 (2.6821) Prec@1 41.406 (40.995) Prec@5 66.406 (66.705)
Epoch: [9][4410/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.5554 (2.6821) Prec@1 47.266 (40.995) Prec@5 69.141 (66.704)
Epoch: [9][4420/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7340 (2.6821) Prec@1 38.281 (40.994) Prec@5 67.188 (66.707)
Epoch: [9][4430/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5525 (2.6820) Prec@1 44.922 (40.995) Prec@5 69.922 (66.707)
Epoch: [9][4440/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.6371 (2.6819) Prec@1 43.750 (40.994) Prec@5 66.406 (66.710)
Epoch: [9][4450/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4205 (2.6818) Prec@1 46.094 (40.994) Prec@5 69.141 (66.710)
Epoch: [9][4460/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7951 (2.6818) Prec@1 37.500 (40.995) Prec@5 63.281 (66.709)
Epoch: [9][4470/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.7167 (2.6818) Prec@1 39.844 (40.995) Prec@5 66.797 (66.709)
Epoch: [9][4480/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.5880 (2.6816) Prec@1 44.141 (40.998) Prec@5 68.359 (66.713)
Epoch: [9][4490/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.5355 (2.6814) Prec@1 46.875 (41.002) Prec@5 70.312 (66.715)
Epoch: [9][4500/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6271 (2.6813) Prec@1 41.797 (41.005) Prec@5 68.750 (66.719)
Epoch: [9][4510/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.6678 (2.6811) Prec@1 39.453 (41.006) Prec@5 66.797 (66.723)
Epoch: [9][4520/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7215 (2.6811) Prec@1 37.500 (41.006) Prec@5 65.625 (66.723)
Epoch: [9][4530/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5907 (2.6808) Prec@1 44.531 (41.008) Prec@5 71.094 (66.726)
Epoch: [9][4540/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.7771 (2.6806) Prec@1 41.016 (41.012) Prec@5 65.234 (66.729)
Epoch: [9][4550/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.5164 (2.6805) Prec@1 40.234 (41.011) Prec@5 69.531 (66.731)
Epoch: [9][4560/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6206 (2.6804) Prec@1 41.797 (41.014) Prec@5 67.188 (66.733)
Epoch: [9][4570/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4606 (2.6802) Prec@1 41.406 (41.016) Prec@5 70.703 (66.735)
Epoch: [9][4580/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6063 (2.6801) Prec@1 43.359 (41.019) Prec@5 68.750 (66.737)
Epoch: [9][4590/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.4769 (2.6801) Prec@1 47.266 (41.022) Prec@5 73.438 (66.740)
Epoch: [9][4600/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.6844 (2.6799) Prec@1 40.234 (41.023) Prec@5 68.359 (66.743)
Epoch: [9][4610/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6340 (2.6798) Prec@1 46.875 (41.026) Prec@5 64.453 (66.745)
Epoch: [9][4620/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.6790 (2.6797) Prec@1 41.797 (41.029) Prec@5 65.234 (66.747)
Epoch: [9][4630/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.4295 (2.6796) Prec@1 43.359 (41.032) Prec@5 71.875 (66.753)
Epoch: [9][4640/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7650 (2.6795) Prec@1 37.109 (41.033) Prec@5 62.891 (66.754)
Epoch: [9][4650/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.8690 (2.6796) Prec@1 35.547 (41.034) Prec@5 60.938 (66.754)
Epoch: [9][4660/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 2.3681 (2.6794) Prec@1 46.484 (41.033) Prec@5 73.438 (66.759)
Epoch: [9][4670/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3388 (2.6793) Prec@1 43.750 (41.036) Prec@5 75.781 (66.762)
Epoch: [9][4680/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8456 (2.6792) Prec@1 36.328 (41.036) Prec@5 65.234 (66.762)
Epoch: [9][4690/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.4643 (2.6791) Prec@1 45.312 (41.037) Prec@5 69.141 (66.762)
Epoch: [9][4700/5005] Time 0.607 (0.614) Data 0.001 (0.001) Loss 2.4566 (2.6789) Prec@1 43.359 (41.041) Prec@5 73.438 (66.765)
Epoch: [9][4710/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.7012 (2.6789) Prec@1 44.141 (41.041) Prec@5 67.969 (66.767)
Epoch: [9][4720/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 3.0052 (2.6788) Prec@1 30.469 (41.042) Prec@5 61.328 (66.766)
Epoch: [9][4730/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5029 (2.6787) Prec@1 42.969 (41.044) Prec@5 69.922 (66.767)
Epoch: [9][4740/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.6167 (2.6786) Prec@1 41.797 (41.045) Prec@5 72.266 (66.768)
Epoch: [9][4750/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5278 (2.6785) Prec@1 42.969 (41.051) Prec@5 69.531 (66.772)
Epoch: [9][4760/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4875 (2.6783) Prec@1 43.359 (41.056) Prec@5 73.047 (66.777)
Epoch: [9][4770/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.6282 (2.6783) Prec@1 41.406 (41.055) Prec@5 70.312 (66.778)
Epoch: [9][4780/5005] Time 0.607 (0.614) Data 0.001 (0.001) Loss 2.7854 (2.6783) Prec@1 41.016 (41.059) Prec@5 63.281 (66.779)
Epoch: [9][4790/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6736 (2.6783) Prec@1 40.234 (41.061) Prec@5 68.359 (66.780)
Epoch: [9][4800/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5420 (2.6783) Prec@1 42.578 (41.061) Prec@5 68.750 (66.779)
Epoch: [9][4810/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7078 (2.6782) Prec@1 41.797 (41.062) Prec@5 67.578 (66.779)
Epoch: [9][4820/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.6363 (2.6782) Prec@1 43.359 (41.062) Prec@5 67.969 (66.780)
Epoch: [9][4830/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.5451 (2.6781) Prec@1 42.188 (41.062) Prec@5 69.531 (66.783)
Epoch: [9][4840/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.5102 (2.6780) Prec@1 42.969 (41.064) Prec@5 69.141 (66.784)
Epoch: [9][4850/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7133 (2.6780) Prec@1 37.109 (41.065) Prec@5 65.625 (66.784)
Epoch: [9][4860/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.8047 (2.6779) Prec@1 36.719 (41.067) Prec@5 67.969 (66.786)
Epoch: [9][4870/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.6445 (2.6777) Prec@1 41.406 (41.070) Prec@5 66.016 (66.788)
Epoch: [9][4880/5005] Time 0.619 (0.614) Data 0.001 (0.001) Loss 2.4121 (2.6777) Prec@1 48.047 (41.073) Prec@5 71.875 (66.788)
Epoch: [9][4890/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6340 (2.6776) Prec@1 41.797 (41.072) Prec@5 70.312 (66.790)
Epoch: [9][4900/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4583 (2.6776) Prec@1 44.141 (41.074) Prec@5 70.703 (66.790)
Epoch: [9][4910/5005] Time 0.622 (0.614) Data 0.001 (0.001) Loss 2.6818 (2.6777) Prec@1 39.844 (41.071) Prec@5 68.750 (66.790)
Epoch: [9][4920/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6109 (2.6777) Prec@1 40.234 (41.071) Prec@5 69.141 (66.792)
Epoch: [9][4930/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.5807 (2.6777) Prec@1 44.531 (41.071) Prec@5 68.359 (66.793)
Epoch: [9][4940/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.4575 (2.6775) Prec@1 44.531 (41.075) Prec@5 73.047 (66.796)
Epoch: [9][4950/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.8186 (2.6775) Prec@1 39.453 (41.075) Prec@5 66.016 (66.795)
Epoch: [9][4960/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7994 (2.6775) Prec@1 37.109 (41.075) Prec@5 64.844 (66.796)
Epoch: [9][4970/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 2.8120 (2.6775) Prec@1 39.453 (41.075) Prec@5 66.016 (66.796)
Epoch: [9][4980/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.9238 (2.6775) Prec@1 38.281 (41.074) Prec@5 62.109 (66.797)
Epoch: [9][4990/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6828 (2.6774) Prec@1 42.188 (41.074) Prec@5 64.062 (66.799)
Epoch: [9][5000/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.8119 (2.6774) Prec@1 37.109 (41.071) Prec@5 62.109 (66.797)
Test: [0/196] Time 5.093 (5.093) Loss 1.3947 (1.3947) Prec@1 62.500 (62.500) Prec@5 89.062 (89.062)
Test: [10/196] Time 0.204 (0.648) Loss 1.8813 (1.5582) Prec@1 51.953 (60.085) Prec@5 83.203 (85.298)
Test: [20/196] Time 0.205 (0.436) Loss 1.4845 (1.5448) Prec@1 69.531 (61.663) Prec@5 84.375 (84.710)
Test: [30/196] Time 0.208 (0.363) Loss 1.4973 (1.5367) Prec@1 58.203 (62.009) Prec@5 88.281 (84.854)
Test: [40/196] Time 0.204 (0.325) Loss 1.8085 (1.6136) Prec@1 54.688 (58.765) Prec@5 79.297 (84.032)
Test: [50/196] Time 0.206 (0.301) Loss 1.0627 (1.5998) Prec@1 73.828 (58.563) Prec@5 91.406 (84.628)
Test: [60/196] Time 0.209 (0.286) Loss 2.1002 (1.5957) Prec@1 45.312 (58.562) Prec@5 80.469 (84.894)
Test: [70/196] Time 0.202 (0.274) Loss 1.5419 (1.5918) Prec@1 60.938 (58.825) Prec@5 85.938 (84.980)
Test: [80/196] Time 0.204 (0.266) Loss 2.4978 (1.6124) Prec@1 45.703 (58.492) Prec@5 69.922 (84.650)
Test: [90/196] Time 0.203 (0.259) Loss 3.3330 (1.7079) Prec@1 29.297 (57.027) Prec@5 59.766 (83.255)
Test: [100/196] Time 0.204 (0.254) Loss 2.7731 (1.7966) Prec@1 34.375 (55.446) Prec@5 67.188 (81.853)
Test: [110/196] Time 0.203 (0.250) Loss 1.9239 (1.8304) Prec@1 60.547 (55.120) Prec@5 77.344 (81.257)
Test: [120/196] Time 0.205 (0.246) Loss 2.7982 (1.8666) Prec@1 42.188 (54.791) Prec@5 66.797 (80.566)
Test: [130/196] Time 0.203 (0.243) Loss 1.9633 (1.9053) Prec@1 57.812 (54.175) Prec@5 76.562 (79.986)
Test: [140/196] Time 0.204 (0.240) Loss 2.4595 (1.9411) Prec@1 45.312 (53.599) Prec@5 71.875 (79.352)
Test: [150/196] Time 0.209 (0.238) Loss 2.4585 (1.9808) Prec@1 47.656 (52.998) Prec@5 72.266 (78.681)
Test: [160/196] Time 0.204 (0.236) Loss 1.9454 (2.0089) Prec@1 56.641 (52.533) Prec@5 80.859 (78.220)
Test: [170/196] Time 0.207 (0.234) Loss 1.2438 (2.0427) Prec@1 68.359 (51.859) Prec@5 89.453 (77.645)
Test: [180/196] Time 0.201 (0.232) Loss 1.7963 (2.0688) Prec@1 56.641 (51.442) Prec@5 80.469 (77.281)
Test: [190/196] Time 0.201 (0.231) Loss 1.8456 (2.0631) Prec@1 51.172 (51.507) Prec@5 83.203 (77.444)
* Prec@1 51.780 Prec@5 77.582
Epoch: [10][0/5005] Time 4.032 (4.032) Data 3.769 (3.769) Loss 2.6836 (2.6836) Prec@1 41.016 (41.016) Prec@5 68.750 (68.750)
Epoch: [10][10/5005] Time 0.603 (0.922) Data 0.001 (0.386) Loss 2.5942 (2.6370) Prec@1 44.141 (41.655) Prec@5 72.656 (68.466)
Epoch: [10][20/5005] Time 0.589 (0.775) Data 0.000 (0.203) Loss 2.4751 (2.6088) Prec@1 41.797 (42.094) Prec@5 69.531 (68.341)
Epoch: [10][30/5005] Time 0.615 (0.723) Data 0.000 (0.137) Loss 2.6183 (2.6059) Prec@1 42.188 (42.188) Prec@5 69.531 (68.611)
Epoch: [10][40/5005] Time 0.623 (0.697) Data 0.000 (0.104) Loss 2.6901 (2.6173) Prec@1 40.625 (42.102) Prec@5 67.188 (68.388)
Epoch: [10][50/5005] Time 0.608 (0.681) Data 0.000 (0.084) Loss 2.3603 (2.6117) Prec@1 46.484 (42.042) Prec@5 71.875 (68.390)
Epoch: [10][60/5005] Time 0.607 (0.670) Data 0.000 (0.070) Loss 2.5743 (2.6123) Prec@1 40.234 (41.899) Prec@5 69.531 (68.334)
Epoch: [10][70/5005] Time 0.614 (0.662) Data 0.000 (0.060) Loss 2.9282 (2.6151) Prec@1 34.766 (41.918) Prec@5 61.328 (68.266)
Epoch: [10][80/5005] Time 0.613 (0.656) Data 0.000 (0.053) Loss 2.3643 (2.6165) Prec@1 42.188 (41.778) Prec@5 73.438 (68.292)
Epoch: [10][90/5005] Time 0.614 (0.651) Data 0.000 (0.047) Loss 2.5443 (2.6109) Prec@1 43.750 (41.986) Prec@5 68.750 (68.329)
Epoch: [10][100/5005] Time 0.613 (0.647) Data 0.000 (0.042) Loss 2.6006 (2.6079) Prec@1 45.703 (42.180) Prec@5 68.750 (68.390)
Epoch: [10][110/5005] Time 0.610 (0.644) Data 0.000 (0.039) Loss 2.3401 (2.6069) Prec@1 47.266 (42.103) Prec@5 72.266 (68.398)
Epoch: [10][120/5005] Time 0.617 (0.642) Data 0.000 (0.036) Loss 2.5700 (2.6016) Prec@1 43.750 (42.220) Prec@5 69.531 (68.392)
Epoch: [10][130/5005] Time 0.620 (0.640) Data 0.000 (0.033) Loss 2.3748 (2.6007) Prec@1 45.703 (42.337) Prec@5 73.438 (68.404)
Epoch: [10][140/5005] Time 0.609 (0.638) Data 0.000 (0.031) Loss 2.6845 (2.6008) Prec@1 42.969 (42.401) Prec@5 67.578 (68.431)
Epoch: [10][150/5005] Time 0.612 (0.636) Data 0.000 (0.029) Loss 2.6467 (2.5995) Prec@1 45.312 (42.405) Prec@5 67.578 (68.427)
Epoch: [10][160/5005] Time 0.619 (0.635) Data 0.000 (0.027) Loss 2.6160 (2.5944) Prec@1 42.188 (42.452) Prec@5 69.141 (68.544)
Epoch: [10][170/5005] Time 0.621 (0.634) Data 0.000 (0.025) Loss 2.4822 (2.5914) Prec@1 46.094 (42.532) Prec@5 70.703 (68.595)
Epoch: [10][180/5005] Time 0.612 (0.632) Data 0.000 (0.024) Loss 2.7349 (2.5918) Prec@1 39.062 (42.479) Prec@5 66.406 (68.597)
Epoch: [10][190/5005] Time 0.614 (0.631) Data 0.000 (0.023) Loss 2.8629 (2.5888) Prec@1 40.234 (42.498) Prec@5 64.453 (68.666)
Epoch: [10][200/5005] Time 0.617 (0.631) Data 0.000 (0.022) Loss 2.3263 (2.5857) Prec@1 45.703 (42.520) Prec@5 72.656 (68.699)
Epoch: [10][210/5005] Time 0.616 (0.630) Data 0.000 (0.021) Loss 2.3448 (2.5866) Prec@1 45.312 (42.506) Prec@5 71.094 (68.643)
Epoch: [10][220/5005] Time 0.615 (0.629) Data 0.000 (0.020) Loss 2.8360 (2.5899) Prec@1 39.453 (42.435) Prec@5 62.891 (68.591)
Epoch: [10][230/5005] Time 0.615 (0.628) Data 0.000 (0.019) Loss 2.6210 (2.5931) Prec@1 46.094 (42.395) Prec@5 69.922 (68.559)
Epoch: [10][240/5005] Time 0.617 (0.628) Data 0.000 (0.018) Loss 2.4436 (2.5920) Prec@1 40.625 (42.429) Prec@5 71.875 (68.578)
Epoch: [10][250/5005] Time 0.621 (0.627) Data 0.000 (0.017) Loss 2.3887 (2.5904) Prec@1 46.875 (42.399) Prec@5 70.703 (68.554)
Epoch: [10][260/5005] Time 0.611 (0.627) Data 0.000 (0.017) Loss 2.5085 (2.5902) Prec@1 43.750 (42.394) Prec@5 68.750 (68.558)
Epoch: [10][270/5005] Time 0.613 (0.626) Data 0.000 (0.016) Loss 2.9600 (2.5904) Prec@1 35.938 (42.372) Prec@5 60.547 (68.512)
Epoch: [10][280/5005] Time 0.625 (0.626) Data 0.000 (0.016) Loss 2.6721 (2.5883) Prec@1 45.312 (42.427) Prec@5 68.359 (68.533)
Epoch: [10][290/5005] Time 0.619 (0.625) Data 0.000 (0.015) Loss 2.4123 (2.5885) Prec@1 48.828 (42.422) Prec@5 71.875 (68.542)
Epoch: [10][300/5005] Time 0.615 (0.625) Data 0.000 (0.015) Loss 2.6712 (2.5899) Prec@1 46.094 (42.446) Prec@5 68.359 (68.529)
Epoch: [10][310/5005] Time 0.609 (0.625) Data 0.000 (0.014) Loss 2.6385 (2.5916) Prec@1 36.328 (42.400) Prec@5 68.359 (68.484)
Epoch: [10][320/5005] Time 0.614 (0.624) Data 0.000 (0.014) Loss 2.2357 (2.5901) Prec@1 48.828 (42.419) Prec@5 72.656 (68.515)
Epoch: [10][330/5005] Time 0.613 (0.624) Data 0.000 (0.013) Loss 2.6173 (2.5918) Prec@1 40.234 (42.348) Prec@5 67.969 (68.480)
Epoch: [10][340/5005] Time 0.614 (0.624) Data 0.000 (0.013) Loss 2.7957 (2.5908) Prec@1 38.672 (42.357) Prec@5 64.453 (68.479)
Epoch: [10][350/5005] Time 0.615 (0.623) Data 0.000 (0.013) Loss 2.6248 (2.5905) Prec@1 45.703 (42.397) Prec@5 66.016 (68.454)
Epoch: [10][360/5005] Time 0.613 (0.623) Data 0.000 (0.012) Loss 2.5822 (2.5892) Prec@1 42.969 (42.408) Prec@5 70.312 (68.483)
Epoch: [10][370/5005] Time 0.618 (0.623) Data 0.000 (0.012) Loss 2.8012 (2.5902) Prec@1 40.234 (42.383) Prec@5 63.672 (68.459)
Epoch: [10][380/5005] Time 0.618 (0.623) Data 0.000 (0.012) Loss 2.6092 (2.5896) Prec@1 41.797 (42.376) Prec@5 68.750 (68.468)
Epoch: [10][390/5005] Time 0.613 (0.622) Data 0.000 (0.011) Loss 2.3841 (2.5867) Prec@1 48.828 (42.431) Prec@5 71.875 (68.524)
Epoch: [10][400/5005] Time 0.616 (0.622) Data 0.000 (0.011) Loss 2.4291 (2.5881) Prec@1 48.047 (42.403) Prec@5 70.312 (68.487)
Epoch: [10][410/5005] Time 0.618 (0.622) Data 0.000 (0.011) Loss 2.4665 (2.5897) Prec@1 41.797 (42.380) Prec@5 70.703 (68.446)
Epoch: [10][420/5005] Time 0.611 (0.622) Data 0.000 (0.011) Loss 2.6682 (2.5914) Prec@1 45.312 (42.361) Prec@5 66.016 (68.419)
Epoch: [10][430/5005] Time 0.612 (0.622) Data 0.000 (0.010) Loss 2.5962 (2.5916) Prec@1 44.531 (42.398) Prec@5 68.359 (68.405)
Epoch: [10][440/5005] Time 0.614 (0.621) Data 0.000 (0.010) Loss 2.5870 (2.5908) Prec@1 39.844 (42.398) Prec@5 68.359 (68.411)
Epoch: [10][450/5005] Time 0.616 (0.621) Data 0.000 (0.010) Loss 2.4677 (2.5897) Prec@1 41.406 (42.422) Prec@5 71.875 (68.421)
Epoch: [10][460/5005] Time 0.620 (0.621) Data 0.000 (0.010) Loss 2.6091 (2.5896) Prec@1 39.844 (42.437) Prec@5 69.141 (68.415)
Epoch: [10][470/5005] Time 0.608 (0.621) Data 0.000 (0.009) Loss 2.6579 (2.5914) Prec@1 44.531 (42.439) Prec@5 63.672 (68.353)
Epoch: [10][480/5005] Time 0.619 (0.621) Data 0.000 (0.009) Loss 2.6153 (2.5924) Prec@1 44.141 (42.406) Prec@5 68.359 (68.336)
Epoch: [10][490/5005] Time 0.616 (0.621) Data 0.000 (0.009) Loss 2.5861 (2.5927) Prec@1 43.359 (42.402) Prec@5 65.625 (68.343)
Epoch: [10][500/5005] Time 0.612 (0.621) Data 0.000 (0.009) Loss 2.7183 (2.5935) Prec@1 43.750 (42.414) Prec@5 66.406 (68.331)
Epoch: [10][510/5005] Time 0.607 (0.620) Data 0.001 (0.009) Loss 2.7952 (2.5945) Prec@1 41.016 (42.409) Prec@5 65.625 (68.312)
Epoch: [10][520/5005] Time 0.617 (0.620) Data 0.000 (0.009) Loss 2.8308 (2.5938) Prec@1 39.844 (42.415) Prec@5 62.500 (68.325)
Epoch: [10][530/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 2.5761 (2.5931) Prec@1 44.531 (42.437) Prec@5 69.141 (68.325)
Epoch: [10][540/5005] Time 0.612 (0.620) Data 0.000 (0.008) Loss 2.3732 (2.5938) Prec@1 45.312 (42.404) Prec@5 71.094 (68.302)
Epoch: [10][550/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 2.5430 (2.5950) Prec@1 39.062 (42.365) Prec@5 68.750 (68.284)
Epoch: [10][560/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 2.7242 (2.5956) Prec@1 41.016 (42.355) Prec@5 67.969 (68.271)
Epoch: [10][570/5005] Time 0.623 (0.620) Data 0.001 (0.008) Loss 2.7167 (2.5953) Prec@1 41.016 (42.359) Prec@5 65.625 (68.272)
Epoch: [10][580/5005] Time 0.612 (0.620) Data 0.000 (0.008) Loss 2.6588 (2.5955) Prec@1 42.969 (42.343) Prec@5 65.234 (68.258)
Epoch: [10][590/5005] Time 0.615 (0.619) Data 0.000 (0.008) Loss 2.4035 (2.5955) Prec@1 44.531 (42.323) Prec@5 72.266 (68.254)
Epoch: [10][600/5005] Time 0.608 (0.619) Data 0.000 (0.008) Loss 2.4908 (2.5970) Prec@1 43.359 (42.301) Prec@5 68.750 (68.208)
Epoch: [10][610/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 2.6464 (2.5963) Prec@1 41.016 (42.319) Prec@5 67.578 (68.215)
Epoch: [10][620/5005] Time 0.610 (0.619) Data 0.000 (0.007) Loss 2.4157 (2.5962) Prec@1 47.656 (42.340) Prec@5 70.312 (68.196)
Epoch: [10][630/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.6821 (2.5963) Prec@1 37.500 (42.351) Prec@5 69.141 (68.204)
Epoch: [10][640/5005] Time 0.609 (0.619) Data 0.000 (0.007) Loss 2.5928 (2.5970) Prec@1 44.141 (42.340) Prec@5 69.531 (68.189)
Epoch: [10][650/5005] Time 0.620 (0.619) Data 0.000 (0.007) Loss 2.5507 (2.5983) Prec@1 42.578 (42.315) Prec@5 68.359 (68.166)
Epoch: [10][660/5005] Time 0.620 (0.619) Data 0.000 (0.007) Loss 2.8807 (2.5986) Prec@1 37.109 (42.308) Prec@5 62.109 (68.156)
Epoch: [10][670/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.5504 (2.5985) Prec@1 44.922 (42.318) Prec@5 68.750 (68.164)
Epoch: [10][680/5005] Time 0.621 (0.619) Data 0.000 (0.007) Loss 2.6202 (2.5993) Prec@1 47.656 (42.306) Prec@5 66.797 (68.153)
Epoch: [10][690/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 2.4388 (2.5990) Prec@1 47.266 (42.320) Prec@5 71.484 (68.156)
Epoch: [10][700/5005] Time 0.608 (0.619) Data 0.000 (0.007) Loss 2.4453 (2.5997) Prec@1 46.094 (42.306) Prec@5 71.484 (68.152)
Epoch: [10][710/5005] Time 0.608 (0.618) Data 0.000 (0.006) Loss 2.6831 (2.6002) Prec@1 40.625 (42.300) Prec@5 65.234 (68.140)
Epoch: [10][720/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 2.2211 (2.6001) Prec@1 47.266 (42.304) Prec@5 75.391 (68.156)
Epoch: [10][730/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.6973 (2.5996) Prec@1 40.234 (42.306) Prec@5 64.062 (68.162)
Epoch: [10][740/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 2.6028 (2.5987) Prec@1 41.016 (42.325) Prec@5 67.188 (68.165)
Epoch: [10][750/5005] Time 0.608 (0.618) Data 0.000 (0.006) Loss 2.6321 (2.5991) Prec@1 40.625 (42.316) Prec@5 65.234 (68.159)
Epoch: [10][760/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 2.5206 (2.5989) Prec@1 42.969 (42.325) Prec@5 69.141 (68.169)
Epoch: [10][770/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.7380 (2.5996) Prec@1 40.234 (42.301) Prec@5 66.797 (68.150)
Epoch: [10][780/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.6971 (2.5990) Prec@1 44.141 (42.326) Prec@5 66.797 (68.154)
Epoch: [10][790/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 2.6528 (2.5998) Prec@1 41.406 (42.302) Prec@5 64.844 (68.125)
Epoch: [10][800/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.6415 (2.6004) Prec@1 43.359 (42.287) Prec@5 66.797 (68.106)
Epoch: [10][810/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.4822 (2.6007) Prec@1 43.359 (42.279) Prec@5 68.359 (68.094)
Epoch: [10][820/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 2.4564 (2.6016) Prec@1 39.844 (42.253) Prec@5 70.703 (68.084)
Epoch: [10][830/5005] Time 0.599 (0.618) Data 0.000 (0.006) Loss 2.5045 (2.6016) Prec@1 43.359 (42.246) Prec@5 68.750 (68.086)
Epoch: [10][840/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.6393 (2.6015) Prec@1 43.750 (42.262) Prec@5 69.531 (68.096)
Epoch: [10][850/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 2.3886 (2.6018) Prec@1 47.266 (42.260) Prec@5 71.094 (68.101)
Epoch: [10][860/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 2.5364 (2.6014) Prec@1 42.188 (42.270) Prec@5 66.406 (68.100)
Epoch: [10][870/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 2.6890 (2.6015) Prec@1 43.359 (42.286) Prec@5 67.969 (68.109)
Epoch: [10][880/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.5260 (2.6017) Prec@1 42.188 (42.283) Prec@5 68.359 (68.100)
Epoch: [10][890/5005] Time 0.608 (0.617) Data 0.000 (0.005) Loss 2.5594 (2.6016) Prec@1 44.141 (42.285) Prec@5 69.141 (68.106)
Epoch: [10][900/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 2.6814 (2.6024) Prec@1 43.750 (42.282) Prec@5 68.359 (68.083)
Epoch: [10][910/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 2.7673 (2.6021) Prec@1 41.797 (42.293) Prec@5 62.500 (68.079)
Epoch: [10][920/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.8324 (2.6024) Prec@1 36.719 (42.282) Prec@5 63.672 (68.070)
Epoch: [10][930/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 2.6627 (2.6034) Prec@1 44.531 (42.269) Prec@5 65.234 (68.047)
Epoch: [10][940/5005] Time 0.609 (0.617) Data 0.000 (0.005) Loss 2.7928 (2.6030) Prec@1 44.531 (42.296) Prec@5 63.672 (68.056)
Epoch: [10][950/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.3483 (2.6025) Prec@1 48.047 (42.308) Prec@5 70.312 (68.064)
Epoch: [10][960/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 2.7671 (2.6022) Prec@1 39.844 (42.316) Prec@5 66.797 (68.072)
Epoch: [10][970/5005] Time 0.617 (0.617) Data 0.000 (0.005) Loss 2.6042 (2.6026) Prec@1 44.922 (42.309) Prec@5 68.750 (68.063)
Epoch: [10][980/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 2.7261 (2.6030) Prec@1 43.359 (42.303) Prec@5 67.578 (68.060)
Epoch: [10][990/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.5833 (2.6025) Prec@1 41.406 (42.308) Prec@5 68.359 (68.067)
Epoch: [10][1000/5005] Time 0.623 (0.617) Data 0.000 (0.005) Loss 2.4701 (2.6019) Prec@1 44.141 (42.321) Prec@5 72.656 (68.081)
Epoch: [10][1010/5005] Time 0.606 (0.617) Data 0.000 (0.005) Loss 2.4093 (2.6018) Prec@1 48.438 (42.322) Prec@5 70.312 (68.086)
Epoch: [10][1020/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 2.4072 (2.6018) Prec@1 43.359 (42.326) Prec@5 73.047 (68.086)
Epoch: [10][1030/5005] Time 0.605 (0.617) Data 0.000 (0.005) Loss 2.4081 (2.6009) Prec@1 43.359 (42.328) Prec@5 71.875 (68.109)
Epoch: [10][1040/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 2.7547 (2.6010) Prec@1 41.406 (42.321) Prec@5 65.234 (68.110)
Epoch: [10][1050/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.5633 (2.6007) Prec@1 41.797 (42.318) Prec@5 73.047 (68.116)
Epoch: [10][1060/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.6378 (2.5999) Prec@1 44.922 (42.349) Prec@5 65.625 (68.131)
Epoch: [10][1070/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.6725 (2.5992) Prec@1 40.234 (42.359) Prec@5 67.188 (68.139)
Epoch: [10][1080/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.4731 (2.5986) Prec@1 46.875 (42.369) Prec@5 70.703 (68.154)
Epoch: [10][1090/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.7891 (2.5985) Prec@1 38.672 (42.372) Prec@5 65.625 (68.156)
Epoch: [10][1100/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.4197 (2.5984) Prec@1 49.609 (42.385) Prec@5 71.094 (68.156)
Epoch: [10][1110/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5932 (2.5979) Prec@1 43.359 (42.393) Prec@5 70.312 (68.165)
Epoch: [10][1120/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.6120 (2.5984) Prec@1 41.016 (42.379) Prec@5 71.094 (68.153)
Epoch: [10][1130/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 2.7987 (2.5991) Prec@1 39.062 (42.362) Prec@5 64.062 (68.144)
Epoch: [10][1140/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5904 (2.5989) Prec@1 41.406 (42.360) Prec@5 67.578 (68.150)
Epoch: [10][1150/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.4769 (2.5984) Prec@1 43.359 (42.366) Prec@5 71.484 (68.155)
Epoch: [10][1160/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.7020 (2.5981) Prec@1 39.844 (42.369) Prec@5 65.234 (68.164)
Epoch: [10][1170/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.5375 (2.5981) Prec@1 42.188 (42.366) Prec@5 67.969 (68.167)
Epoch: [10][1180/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.4676 (2.5987) Prec@1 47.656 (42.358) Prec@5 73.047 (68.165)
Epoch: [10][1190/5005] Time 0.619 (0.616) Data 0.000 (0.004) Loss 2.5823 (2.5979) Prec@1 42.578 (42.372) Prec@5 67.188 (68.173)
Epoch: [10][1200/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.4643 (2.5981) Prec@1 43.750 (42.370) Prec@5 70.312 (68.170)
Epoch: [10][1210/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 2.7321 (2.5988) Prec@1 37.891 (42.367) Prec@5 67.578 (68.166)
Epoch: [10][1220/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.6417 (2.5983) Prec@1 38.281 (42.373) Prec@5 64.844 (68.173)
Epoch: [10][1230/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.3777 (2.5979) Prec@1 47.656 (42.372) Prec@5 73.047 (68.183)
Epoch: [10][1240/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.6214 (2.5981) Prec@1 47.266 (42.371) Prec@5 66.016 (68.181)
Epoch: [10][1250/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.9142 (2.5985) Prec@1 35.938 (42.360) Prec@5 63.672 (68.174)
Epoch: [10][1260/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.5403 (2.5989) Prec@1 44.922 (42.361) Prec@5 70.312 (68.163)
Epoch: [10][1270/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.5739 (2.5993) Prec@1 41.406 (42.352) Prec@5 70.312 (68.161)
Epoch: [10][1280/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.5241 (2.5991) Prec@1 44.922 (42.357) Prec@5 69.531 (68.163)
Epoch: [10][1290/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.3984 (2.5990) Prec@1 48.047 (42.358) Prec@5 71.484 (68.166)
Epoch: [10][1300/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 2.5314 (2.5993) Prec@1 43.359 (42.351) Prec@5 70.703 (68.168)
Epoch: [10][1310/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.9406 (2.5996) Prec@1 32.812 (42.347) Prec@5 65.625 (68.165)
Epoch: [10][1320/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.2642 (2.5994) Prec@1 46.875 (42.355) Prec@5 73.438 (68.168)
Epoch: [10][1330/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.3392 (2.5991) Prec@1 44.531 (42.366) Prec@5 70.703 (68.168)
Epoch: [10][1340/5005] Time 0.617 (0.616) Data 0.000 (0.004) Loss 2.7722 (2.5987) Prec@1 38.672 (42.372) Prec@5 66.016 (68.172)
Epoch: [10][1350/5005] Time 0.611 (0.616) Data 0.000 (0.004) Loss 2.6617 (2.5986) Prec@1 41.406 (42.378) Prec@5 66.016 (68.176)
Epoch: [10][1360/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.4600 (2.5982) Prec@1 46.875 (42.390) Prec@5 70.703 (68.184)
Epoch: [10][1370/5005] Time 0.622 (0.616) Data 0.000 (0.004) Loss 2.6319 (2.5980) Prec@1 42.578 (42.401) Prec@5 67.578 (68.187)
Epoch: [10][1380/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.4130 (2.5982) Prec@1 48.828 (42.395) Prec@5 70.312 (68.179)
Epoch: [10][1390/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.7527 (2.5981) Prec@1 39.062 (42.393) Prec@5 66.406 (68.179)
Epoch: [10][1400/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.5629 (2.5988) Prec@1 44.141 (42.385) Prec@5 67.578 (68.165)
Epoch: [10][1410/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.4629 (2.5989) Prec@1 43.750 (42.384) Prec@5 69.531 (68.156)
Epoch: [10][1420/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6802 (2.5991) Prec@1 42.969 (42.382) Prec@5 66.406 (68.152)
Epoch: [10][1430/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.4209 (2.5992) Prec@1 40.234 (42.378) Prec@5 71.484 (68.146)
Epoch: [10][1440/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.6789 (2.5991) Prec@1 42.188 (42.379) Prec@5 68.750 (68.149)
Epoch: [10][1450/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.2972 (2.5989) Prec@1 48.438 (42.386) Prec@5 73.438 (68.154)
Epoch: [10][1460/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.7315 (2.5986) Prec@1 40.625 (42.393) Prec@5 67.969 (68.153)
Epoch: [10][1470/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.4200 (2.5991) Prec@1 46.875 (42.381) Prec@5 69.531 (68.140)
Epoch: [10][1480/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.6693 (2.5991) Prec@1 40.625 (42.375) Prec@5 67.969 (68.137)
Epoch: [10][1490/5005] Time 0.604 (0.616) Data 0.000 (0.003) Loss 2.7464 (2.5995) Prec@1 39.844 (42.371) Prec@5 64.453 (68.140)
Epoch: [10][1500/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.4898 (2.5992) Prec@1 47.656 (42.375) Prec@5 67.578 (68.146)
Epoch: [10][1510/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.7518 (2.5992) Prec@1 41.016 (42.381) Prec@5 64.453 (68.142)
Epoch: [10][1520/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.3004 (2.5989) Prec@1 48.828 (42.392) Prec@5 70.703 (68.148)
Epoch: [10][1530/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.6595 (2.5990) Prec@1 40.625 (42.398) Prec@5 66.016 (68.146)
Epoch: [10][1540/5005] Time 0.623 (0.616) Data 0.000 (0.003) Loss 2.6478 (2.5993) Prec@1 42.578 (42.397) Prec@5 67.188 (68.142)
Epoch: [10][1550/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.8757 (2.5992) Prec@1 33.594 (42.398) Prec@5 66.016 (68.146)
Epoch: [10][1560/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6615 (2.5992) Prec@1 40.234 (42.390) Prec@5 66.797 (68.144)
Epoch: [10][1570/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.5303 (2.5989) Prec@1 39.453 (42.391) Prec@5 70.703 (68.149)
Epoch: [10][1580/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.4325 (2.5983) Prec@1 49.609 (42.410) Prec@5 70.312 (68.159)
Epoch: [10][1590/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6516 (2.5981) Prec@1 41.797 (42.422) Prec@5 66.016 (68.164)
Epoch: [10][1600/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.8743 (2.5983) Prec@1 41.406 (42.418) Prec@5 65.234 (68.166)
Epoch: [10][1610/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.7403 (2.5984) Prec@1 44.141 (42.418) Prec@5 66.016 (68.162)
Epoch: [10][1620/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.4072 (2.5982) Prec@1 42.188 (42.421) Prec@5 71.875 (68.163)
Epoch: [10][1630/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.7043 (2.5982) Prec@1 42.578 (42.419) Prec@5 67.188 (68.162)
Epoch: [10][1640/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.3338 (2.5982) Prec@1 46.875 (42.420) Prec@5 72.656 (68.163)
Epoch: [10][1650/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6869 (2.5981) Prec@1 41.797 (42.421) Prec@5 66.406 (68.167)
Epoch: [10][1660/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.8522 (2.5983) Prec@1 38.672 (42.416) Prec@5 62.500 (68.167)
Epoch: [10][1670/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.7561 (2.5985) Prec@1 40.234 (42.406) Prec@5 65.234 (68.160)
Epoch: [10][1680/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.5091 (2.5987) Prec@1 42.188 (42.406) Prec@5 70.703 (68.153)
Epoch: [10][1690/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.6165 (2.5984) Prec@1 46.094 (42.410) Prec@5 67.578 (68.163)
Epoch: [10][1700/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.7504 (2.5982) Prec@1 38.672 (42.417) Prec@5 64.062 (68.165)
Epoch: [10][1710/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.4073 (2.5980) Prec@1 46.094 (42.423) Prec@5 71.094 (68.170)
Epoch: [10][1720/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.6443 (2.5980) Prec@1 43.359 (42.425) Prec@5 65.234 (68.167)
Epoch: [10][1730/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.4489 (2.5977) Prec@1 43.750 (42.428) Prec@5 71.484 (68.171)
Epoch: [10][1740/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.5522 (2.5978) Prec@1 42.188 (42.428) Prec@5 71.094 (68.174)
Epoch: [10][1750/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.4450 (2.5975) Prec@1 46.094 (42.430) Prec@5 73.438 (68.179)
Epoch: [10][1760/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.7146 (2.5975) Prec@1 41.797 (42.431) Prec@5 65.625 (68.180)
Epoch: [10][1770/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8057 (2.5972) Prec@1 39.453 (42.433) Prec@5 64.062 (68.184)
Epoch: [10][1780/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 2.9548 (2.5974) Prec@1 36.328 (42.423) Prec@5 64.844 (68.180)
Epoch: [10][1790/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.5724 (2.5974) Prec@1 42.578 (42.423) Prec@5 69.922 (68.181)
Epoch: [10][1800/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.6846 (2.5977) Prec@1 43.750 (42.412) Prec@5 69.141 (68.178)
Epoch: [10][1810/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.6266 (2.5979) Prec@1 42.578 (42.407) Prec@5 66.406 (68.172)
Epoch: [10][1820/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.3236 (2.5978) Prec@1 46.875 (42.418) Prec@5 73.047 (68.170)
Epoch: [10][1830/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.6310 (2.5979) Prec@1 42.578 (42.411) Prec@5 67.578 (68.173)
Epoch: [10][1840/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.6339 (2.5984) Prec@1 41.797 (42.400) Prec@5 65.625 (68.164)
Epoch: [10][1850/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.7340 (2.5981) Prec@1 40.234 (42.409) Prec@5 68.359 (68.171)
Epoch: [10][1860/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8004 (2.5979) Prec@1 37.109 (42.409) Prec@5 62.109 (68.173)
Epoch: [10][1870/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 2.5334 (2.5982) Prec@1 44.141 (42.410) Prec@5 70.703 (68.170)
Epoch: [10][1880/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.8196 (2.5983) Prec@1 41.797 (42.406) Prec@5 65.234 (68.167)
Epoch: [10][1890/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.4838 (2.5981) Prec@1 42.578 (42.406) Prec@5 67.578 (68.166)
Epoch: [10][1900/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 2.6530 (2.5981) Prec@1 41.797 (42.405) Prec@5 65.625 (68.163)
Epoch: [10][1910/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.3713 (2.5979) Prec@1 43.750 (42.407) Prec@5 71.094 (68.164)
Epoch: [10][1920/5005] Time 0.617 (0.615) Data 0.000 (0.003) Loss 2.7217 (2.5979) Prec@1 39.844 (42.413) Prec@5 66.016 (68.169)
Epoch: [10][1930/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.5718 (2.5978) Prec@1 42.578 (42.418) Prec@5 66.406 (68.166)
Epoch: [10][1940/5005] Time 0.605 (0.615) Data 0.000 (0.003) Loss 2.6498 (2.5983) Prec@1 42.969 (42.415) Prec@5 66.016 (68.160)
Epoch: [10][1950/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.2648 (2.5979) Prec@1 44.922 (42.424) Prec@5 75.781 (68.170)
Epoch: [10][1960/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.5123 (2.5975) Prec@1 44.922 (42.437) Prec@5 71.875 (68.178)
Epoch: [10][1970/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.7174 (2.5981) Prec@1 38.281 (42.432) Prec@5 65.234 (68.168)
Epoch: [10][1980/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.6280 (2.5981) Prec@1 39.453 (42.434) Prec@5 67.188 (68.165)
Epoch: [10][1990/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.4148 (2.5980) Prec@1 45.312 (42.435) Prec@5 72.656 (68.168)
Epoch: [10][2000/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.5791 (2.5982) Prec@1 43.750 (42.433) Prec@5 68.359 (68.166)
Epoch: [10][2010/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 2.7581 (2.5984) Prec@1 40.625 (42.436) Prec@5 62.891 (68.161)
Epoch: [10][2020/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.3744 (2.5980) Prec@1 48.047 (42.438) Prec@5 71.875 (68.168)
Epoch: [10][2030/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.7306 (2.5986) Prec@1 39.844 (42.426) Prec@5 64.453 (68.157)
Epoch: [10][2040/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.7288 (2.5989) Prec@1 42.578 (42.422) Prec@5 63.281 (68.153)
Epoch: [10][2050/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.3096 (2.5988) Prec@1 43.359 (42.425) Prec@5 73.828 (68.157)
Epoch: [10][2060/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.6201 (2.5988) Prec@1 47.266 (42.429) Prec@5 67.578 (68.150)
Epoch: [10][2070/5005] Time 0.622 (0.615) Data 0.000 (0.003) Loss 2.7046 (2.5990) Prec@1 40.625 (42.428) Prec@5 67.578 (68.145)
Epoch: [10][2080/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5853 (2.5987) Prec@1 46.484 (42.435) Prec@5 69.922 (68.153)
Epoch: [10][2090/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.7423 (2.5987) Prec@1 44.141 (42.440) Prec@5 66.797 (68.156)
Epoch: [10][2100/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.8802 (2.5988) Prec@1 38.281 (42.438) Prec@5 61.328 (68.153)
Epoch: [10][2110/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5782 (2.5992) Prec@1 41.016 (42.432) Prec@5 68.359 (68.140)
Epoch: [10][2120/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.5516 (2.5992) Prec@1 46.094 (42.430) Prec@5 70.703 (68.141)
Epoch: [10][2130/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3469 (2.5989) Prec@1 46.875 (42.433) Prec@5 72.266 (68.146)
Epoch: [10][2140/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6735 (2.5989) Prec@1 42.188 (42.431) Prec@5 67.969 (68.146)
Epoch: [10][2150/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.6611 (2.5989) Prec@1 44.141 (42.434) Prec@5 66.016 (68.145)
Epoch: [10][2160/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6832 (2.5986) Prec@1 41.016 (42.440) Prec@5 66.406 (68.150)
Epoch: [10][2170/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4390 (2.5986) Prec@1 45.312 (42.439) Prec@5 71.875 (68.150)
Epoch: [10][2180/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7643 (2.5988) Prec@1 36.328 (42.435) Prec@5 66.406 (68.147)
Epoch: [10][2190/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7532 (2.5986) Prec@1 40.625 (42.439) Prec@5 66.016 (68.147)
Epoch: [10][2200/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6476 (2.5984) Prec@1 42.188 (42.443) Prec@5 67.969 (68.151)
Epoch: [10][2210/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5391 (2.5986) Prec@1 46.875 (42.441) Prec@5 69.922 (68.146)
Epoch: [10][2220/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.5151 (2.5988) Prec@1 45.703 (42.441) Prec@5 67.578 (68.140)
Epoch: [10][2230/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.4962 (2.5986) Prec@1 42.188 (42.437) Prec@5 71.094 (68.142)
Epoch: [10][2240/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.5871 (2.5984) Prec@1 39.844 (42.440) Prec@5 70.312 (68.149)
Epoch: [10][2250/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5041 (2.5979) Prec@1 42.578 (42.448) Prec@5 69.141 (68.155)
Epoch: [10][2260/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4534 (2.5978) Prec@1 42.969 (42.450) Prec@5 70.703 (68.158)
Epoch: [10][2270/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6232 (2.5977) Prec@1 42.188 (42.452) Prec@5 71.484 (68.165)
Epoch: [10][2280/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.6159 (2.5972) Prec@1 40.625 (42.453) Prec@5 69.531 (68.174)
Epoch: [10][2290/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.4717 (2.5972) Prec@1 45.312 (42.452) Prec@5 70.312 (68.174)
Epoch: [10][2300/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.2563 (2.5971) Prec@1 47.266 (42.449) Prec@5 73.047 (68.175)
Epoch: [10][2310/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6160 (2.5969) Prec@1 42.578 (42.449) Prec@5 64.453 (68.172)
Epoch: [10][2320/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7395 (2.5967) Prec@1 41.016 (42.454) Prec@5 64.062 (68.178)
Epoch: [10][2330/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.8218 (2.5965) Prec@1 42.578 (42.460) Prec@5 63.672 (68.177)
Epoch: [10][2340/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.6487 (2.5967) Prec@1 41.406 (42.459) Prec@5 67.969 (68.174)
Epoch: [10][2350/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5280 (2.5965) Prec@1 42.578 (42.464) Prec@5 66.406 (68.177)
Epoch: [10][2360/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5918 (2.5967) Prec@1 41.797 (42.455) Prec@5 66.406 (68.171)
Epoch: [10][2370/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4719 (2.5964) Prec@1 45.312 (42.462) Prec@5 69.531 (68.175)
Epoch: [10][2380/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5148 (2.5961) Prec@1 40.234 (42.466) Prec@5 70.312 (68.180)
Epoch: [10][2390/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4442 (2.5959) Prec@1 44.922 (42.469) Prec@5 71.094 (68.184)
Epoch: [10][2400/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4438 (2.5960) Prec@1 45.312 (42.473) Prec@5 70.703 (68.179)
Epoch: [10][2410/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.6100 (2.5960) Prec@1 41.406 (42.471) Prec@5 68.750 (68.181)
Epoch: [10][2420/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5828 (2.5956) Prec@1 41.406 (42.475) Prec@5 67.969 (68.186)
Epoch: [10][2430/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6529 (2.5958) Prec@1 42.969 (42.473) Prec@5 64.453 (68.181)
Epoch: [10][2440/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 2.4033 (2.5956) Prec@1 45.312 (42.476) Prec@5 70.703 (68.186)
Epoch: [10][2450/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7162 (2.5955) Prec@1 42.969 (42.475) Prec@5 66.016 (68.186)
Epoch: [10][2460/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5159 (2.5954) Prec@1 41.016 (42.474) Prec@5 71.484 (68.190)
Epoch: [10][2470/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5446 (2.5950) Prec@1 43.359 (42.479) Prec@5 68.359 (68.195)
Epoch: [10][2480/5005] Time 0.594 (0.615) Data 0.000 (0.002) Loss 2.1471 (2.5947) Prec@1 54.688 (42.486) Prec@5 74.609 (68.203)
Epoch: [10][2490/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6693 (2.5946) Prec@1 38.672 (42.482) Prec@5 66.406 (68.204)
Epoch: [10][2500/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7348 (2.5951) Prec@1 44.922 (42.478) Prec@5 63.281 (68.196)
Epoch: [10][2510/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.9953 (2.5952) Prec@1 30.469 (42.476) Prec@5 62.500 (68.192)
Epoch: [10][2520/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.4313 (2.5952) Prec@1 43.750 (42.477) Prec@5 71.875 (68.193)
Epoch: [10][2530/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7130 (2.5951) Prec@1 41.797 (42.483) Prec@5 65.625 (68.195)
Epoch: [10][2540/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.6287 (2.5948) Prec@1 43.750 (42.490) Prec@5 66.797 (68.205)
Epoch: [10][2550/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5759 (2.5950) Prec@1 40.234 (42.489) Prec@5 64.062 (68.198)
Epoch: [10][2560/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6062 (2.5951) Prec@1 39.844 (42.489) Prec@5 66.406 (68.196)
Epoch: [10][2570/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6653 (2.5951) Prec@1 38.672 (42.486) Prec@5 66.016 (68.196)
Epoch: [10][2580/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.5941 (2.5950) Prec@1 42.188 (42.492) Prec@5 66.016 (68.197)
Epoch: [10][2590/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7149 (2.5952) Prec@1 38.672 (42.490) Prec@5 64.844 (68.193)
Epoch: [10][2600/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.5821 (2.5952) Prec@1 41.406 (42.493) Prec@5 69.531 (68.191)
Epoch: [10][2610/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3747 (2.5950) Prec@1 44.922 (42.491) Prec@5 72.656 (68.195)
Epoch: [10][2620/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7378 (2.5947) Prec@1 42.578 (42.499) Prec@5 68.359 (68.204)
Epoch: [10][2630/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6110 (2.5947) Prec@1 42.969 (42.497) Prec@5 69.531 (68.205)
Epoch: [10][2640/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5117 (2.5948) Prec@1 44.531 (42.497) Prec@5 70.703 (68.206)
Epoch: [10][2650/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5259 (2.5946) Prec@1 46.484 (42.499) Prec@5 66.797 (68.210)
Epoch: [10][2660/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.4302 (2.5944) Prec@1 44.922 (42.503) Prec@5 71.875 (68.214)
Epoch: [10][2670/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.3293 (2.5937) Prec@1 42.188 (42.510) Prec@5 73.047 (68.223)
Epoch: [10][2680/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4515 (2.5938) Prec@1 44.141 (42.510) Prec@5 67.578 (68.221)
Epoch: [10][2690/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.8153 (2.5939) Prec@1 41.406 (42.509) Prec@5 64.844 (68.219)
Epoch: [10][2700/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.6389 (2.5939) Prec@1 42.969 (42.508) Prec@5 71.094 (68.216)
Epoch: [10][2710/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.7732 (2.5940) Prec@1 42.188 (42.508) Prec@5 64.062 (68.213)
Epoch: [10][2720/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.3131 (2.5937) Prec@1 48.438 (42.515) Prec@5 71.875 (68.215)
Epoch: [10][2730/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4144 (2.5934) Prec@1 44.141 (42.517) Prec@5 70.703 (68.220)
Epoch: [10][2740/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7278 (2.5936) Prec@1 37.891 (42.516) Prec@5 67.578 (68.217)
Epoch: [10][2750/5005] Time 0.624 (0.615) Data 0.000 (0.002) Loss 2.5875 (2.5935) Prec@1 39.844 (42.515) Prec@5 67.578 (68.219)
Epoch: [10][2760/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4783 (2.5936) Prec@1 44.922 (42.510) Prec@5 68.750 (68.214)
Epoch: [10][2770/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.7028 (2.5934) Prec@1 42.969 (42.515) Prec@5 65.625 (68.219)
Epoch: [10][2780/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3371 (2.5935) Prec@1 50.391 (42.520) Prec@5 74.219 (68.218)
Epoch: [10][2790/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4286 (2.5934) Prec@1 48.438 (42.519) Prec@5 68.750 (68.216)
Epoch: [10][2800/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7380 (2.5935) Prec@1 41.797 (42.519) Prec@5 66.406 (68.216)
Epoch: [10][2810/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5535 (2.5936) Prec@1 41.016 (42.519) Prec@5 67.188 (68.215)
Epoch: [10][2820/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5424 (2.5934) Prec@1 43.750 (42.522) Prec@5 70.703 (68.218)
Epoch: [10][2830/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.9331 (2.5935) Prec@1 38.281 (42.522) Prec@5 66.016 (68.222)
Epoch: [10][2840/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.6091 (2.5934) Prec@1 41.406 (42.524) Prec@5 66.016 (68.223)
Epoch: [10][2850/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.7445 (2.5936) Prec@1 38.281 (42.516) Prec@5 66.016 (68.219)
Epoch: [10][2860/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7021 (2.5936) Prec@1 37.891 (42.521) Prec@5 64.453 (68.222)
Epoch: [10][2870/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.5164 (2.5933) Prec@1 45.703 (42.527) Prec@5 68.359 (68.229)
Epoch: [10][2880/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6876 (2.5936) Prec@1 40.234 (42.525) Prec@5 61.719 (68.224)
Epoch: [10][2890/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4663 (2.5937) Prec@1 41.406 (42.525) Prec@5 70.703 (68.221)
Epoch: [10][2900/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7099 (2.5940) Prec@1 43.750 (42.524) Prec@5 66.016 (68.215)
Epoch: [10][2910/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.7072 (2.5942) Prec@1 40.625 (42.519) Prec@5 66.016 (68.209)
Epoch: [10][2920/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7904 (2.5943) Prec@1 41.016 (42.517) Prec@5 67.578 (68.208)
Epoch: [10][2930/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.6619 (2.5944) Prec@1 41.406 (42.516) Prec@5 66.797 (68.207)
Epoch: [10][2940/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5587 (2.5943) Prec@1 40.625 (42.517) Prec@5 69.922 (68.208)
Epoch: [10][2950/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6124 (2.5941) Prec@1 44.531 (42.524) Prec@5 69.531 (68.217)
Epoch: [10][2960/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5234 (2.5943) Prec@1 43.750 (42.519) Prec@5 70.703 (68.212)
Epoch: [10][2970/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5161 (2.5943) Prec@1 42.969 (42.520) Prec@5 70.312 (68.213)
Epoch: [10][2980/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.7740 (2.5939) Prec@1 40.625 (42.528) Prec@5 66.406 (68.224)
Epoch: [10][2990/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.8222 (2.5939) Prec@1 36.719 (42.522) Prec@5 66.016 (68.223)
Epoch: [10][3000/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.4075 (2.5936) Prec@1 48.047 (42.526) Prec@5 74.219 (68.228)
Epoch: [10][3010/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4010 (2.5936) Prec@1 44.141 (42.525) Prec@5 75.000 (68.230)
Epoch: [10][3020/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6021 (2.5937) Prec@1 45.703 (42.527) Prec@5 69.141 (68.233)
Epoch: [10][3030/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.6226 (2.5938) Prec@1 37.500 (42.523) Prec@5 67.188 (68.229)
Epoch: [10][3040/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.8160 (2.5936) Prec@1 38.281 (42.528) Prec@5 66.016 (68.234)
Epoch: [10][3050/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.7310 (2.5938) Prec@1 40.625 (42.531) Prec@5 64.453 (68.233)
Epoch: [10][3060/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6136 (2.5939) Prec@1 41.406 (42.533) Prec@5 64.453 (68.231)
Epoch: [10][3070/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8255 (2.5937) Prec@1 36.719 (42.538) Prec@5 64.844 (68.232)
Epoch: [10][3080/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6239 (2.5937) Prec@1 41.797 (42.539) Prec@5 66.797 (68.231)
Epoch: [10][3090/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5919 (2.5937) Prec@1 42.969 (42.540) Prec@5 67.969 (68.233)
Epoch: [10][3100/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6370 (2.5936) Prec@1 43.359 (42.541) Prec@5 66.797 (68.234)
Epoch: [10][3110/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.6209 (2.5937) Prec@1 41.406 (42.542) Prec@5 66.797 (68.233)
Epoch: [10][3120/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.7502 (2.5937) Prec@1 41.406 (42.543) Prec@5 64.453 (68.230)
Epoch: [10][3130/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.7444 (2.5936) Prec@1 40.625 (42.549) Prec@5 64.062 (68.232)
Epoch: [10][3140/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4569 (2.5934) Prec@1 46.875 (42.555) Prec@5 72.266 (68.235)
Epoch: [10][3150/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6651 (2.5934) Prec@1 41.016 (42.555) Prec@5 67.969 (68.235)
Epoch: [10][3160/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5742 (2.5933) Prec@1 38.672 (42.558) Prec@5 69.531 (68.238)
Epoch: [10][3170/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.6257 (2.5932) Prec@1 45.703 (42.557) Prec@5 68.750 (68.237)
Epoch: [10][3180/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6220 (2.5933) Prec@1 40.234 (42.559) Prec@5 67.969 (68.238)
Epoch: [10][3190/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.2836 (2.5931) Prec@1 46.484 (42.561) Prec@5 71.875 (68.241)
Epoch: [10][3200/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.4287 (2.5929) Prec@1 41.797 (42.564) Prec@5 74.219 (68.247)
Epoch: [10][3210/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.3279 (2.5928) Prec@1 45.312 (42.566) Prec@5 71.875 (68.250)
Epoch: [10][3220/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.5227 (2.5927) Prec@1 43.359 (42.568) Prec@5 68.750 (68.252)
Epoch: [10][3230/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.3013 (2.5923) Prec@1 45.703 (42.572) Prec@5 72.266 (68.258)
Epoch: [10][3240/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5432 (2.5922) Prec@1 43.750 (42.571) Prec@5 70.312 (68.260)
Epoch: [10][3250/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.3503 (2.5919) Prec@1 46.484 (42.578) Prec@5 72.656 (68.266)
Epoch: [10][3260/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.7440 (2.5920) Prec@1 41.406 (42.580) Prec@5 66.016 (68.266)
Epoch: [10][3270/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.7950 (2.5920) Prec@1 41.406 (42.582) Prec@5 62.109 (68.266)
Epoch: [10][3280/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5307 (2.5917) Prec@1 44.922 (42.588) Prec@5 69.141 (68.269)
Epoch: [10][3290/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.2030 (2.5916) Prec@1 47.656 (42.586) Prec@5 74.609 (68.272)
Epoch: [10][3300/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4386 (2.5915) Prec@1 45.703 (42.589) Prec@5 71.875 (68.272)
Epoch: [10][3310/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.6768 (2.5915) Prec@1 40.234 (42.589) Prec@5 66.406 (68.273)
Epoch: [10][3320/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.7117 (2.5915) Prec@1 41.016 (42.591) Prec@5 66.406 (68.273)
Epoch: [10][3330/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.7356 (2.5917) Prec@1 43.750 (42.589) Prec@5 64.062 (68.268)
Epoch: [10][3340/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4946 (2.5917) Prec@1 44.531 (42.593) Prec@5 71.875 (68.269)
Epoch: [10][3350/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.3349 (2.5916) Prec@1 45.703 (42.593) Prec@5 72.266 (68.268)
Epoch: [10][3360/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.7369 (2.5917) Prec@1 40.625 (42.589) Prec@5 64.453 (68.267)
Epoch: [10][3370/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.7457 (2.5916) Prec@1 37.891 (42.589) Prec@5 64.844 (68.270)
Epoch: [10][3380/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.5530 (2.5917) Prec@1 44.531 (42.590) Prec@5 70.703 (68.268)
Epoch: [10][3390/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.4303 (2.5917) Prec@1 44.141 (42.591) Prec@5 74.219 (68.269)
Epoch: [10][3400/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.5747 (2.5915) Prec@1 42.188 (42.593) Prec@5 68.359 (68.270)
Epoch: [10][3410/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.3869 (2.5918) Prec@1 48.438 (42.592) Prec@5 70.312 (68.269)
Epoch: [10][3420/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.7878 (2.5919) Prec@1 36.328 (42.591) Prec@5 67.578 (68.270)
Epoch: [10][3430/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.5864 (2.5918) Prec@1 41.797 (42.591) Prec@5 68.750 (68.273)
Epoch: [10][3440/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3479 (2.5916) Prec@1 46.875 (42.594) Prec@5 72.656 (68.275)
Epoch: [10][3450/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.9196 (2.5916) Prec@1 37.500 (42.594) Prec@5 62.500 (68.277)
Epoch: [10][3460/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.3210 (2.5913) Prec@1 48.047 (42.600) Prec@5 74.609 (68.284)
Epoch: [10][3470/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6626 (2.5912) Prec@1 43.359 (42.599) Prec@5 65.625 (68.289)
Epoch: [10][3480/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4415 (2.5909) Prec@1 45.312 (42.606) Prec@5 73.047 (68.295)
Epoch: [10][3490/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.5593 (2.5906) Prec@1 44.922 (42.611) Prec@5 66.016 (68.297)
Epoch: [10][3500/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.4170 (2.5905) Prec@1 44.141 (42.617) Prec@5 71.094 (68.302)
Epoch: [10][3510/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5972 (2.5904) Prec@1 42.578 (42.620) Prec@5 66.406 (68.306)
Epoch: [10][3520/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.8181 (2.5905) Prec@1 41.406 (42.618) Prec@5 66.797 (68.305)
Epoch: [10][3530/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.5354 (2.5904) Prec@1 45.703 (42.620) Prec@5 67.969 (68.307)
Epoch: [10][3540/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.7642 (2.5905) Prec@1 41.016 (42.616) Prec@5 66.016 (68.306)
Epoch: [10][3550/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.6070 (2.5905) Prec@1 45.312 (42.621) Prec@5 69.531 (68.308)
Epoch: [10][3560/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.6139 (2.5905) Prec@1 44.531 (42.625) Prec@5 68.359 (68.310)
Epoch: [10][3570/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3692 (2.5903) Prec@1 47.266 (42.628) Prec@5 71.094 (68.313)
Epoch: [10][3580/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.2676 (2.5902) Prec@1 47.656 (42.633) Prec@5 71.484 (68.314)
Epoch: [10][3590/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4700 (2.5902) Prec@1 46.484 (42.635) Prec@5 69.922 (68.314)
Epoch: [10][3600/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5293 (2.5903) Prec@1 44.141 (42.636) Prec@5 69.531 (68.311)
Epoch: [10][3610/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.6049 (2.5901) Prec@1 40.625 (42.639) Prec@5 71.094 (68.314)
Epoch: [10][3620/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.5970 (2.5903) Prec@1 40.234 (42.639) Prec@5 67.969 (68.312)
Epoch: [10][3630/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6948 (2.5903) Prec@1 41.797 (42.636) Prec@5 64.844 (68.311)
Epoch: [10][3640/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.4351 (2.5902) Prec@1 41.797 (42.640) Prec@5 72.266 (68.312)
Epoch: [10][3650/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4776 (2.5903) Prec@1 45.312 (42.640) Prec@5 70.312 (68.313)
Epoch: [10][3660/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.5288 (2.5903) Prec@1 44.922 (42.640) Prec@5 73.047 (68.312)
Epoch: [10][3670/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.2798 (2.5902) Prec@1 49.219 (42.642) Prec@5 71.484 (68.311)
Epoch: [10][3680/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.6612 (2.5900) Prec@1 40.625 (42.645) Prec@5 68.750 (68.314)
Epoch: [10][3690/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.3942 (2.5900) Prec@1 48.047 (42.649) Prec@5 70.703 (68.313)
Epoch: [10][3700/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.6658 (2.5898) Prec@1 39.844 (42.652) Prec@5 66.016 (68.319)
Epoch: [10][3710/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.6189 (2.5898) Prec@1 41.797 (42.650) Prec@5 67.188 (68.315)
Epoch: [10][3720/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.4685 (2.5896) Prec@1 48.828 (42.654) Prec@5 68.359 (68.317)
Epoch: [10][3730/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.6251 (2.5896) Prec@1 46.094 (42.651) Prec@5 68.750 (68.319)
Epoch: [10][3740/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.6849 (2.5897) Prec@1 43.359 (42.647) Prec@5 66.797 (68.318)
Epoch: [10][3750/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.3007 (2.5894) Prec@1 50.000 (42.653) Prec@5 73.438 (68.325)
Epoch: [10][3760/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6111 (2.5892) Prec@1 43.359 (42.658) Prec@5 67.969 (68.327)
Epoch: [10][3770/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.8296 (2.5892) Prec@1 36.328 (42.659) Prec@5 63.672 (68.328)
Epoch: [10][3780/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.6376 (2.5891) Prec@1 44.141 (42.659) Prec@5 69.531 (68.330)
Epoch: [10][3790/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.8171 (2.5893) Prec@1 39.844 (42.657) Prec@5 62.891 (68.329)
Epoch: [10][3800/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.6231 (2.5894) Prec@1 41.797 (42.654) Prec@5 68.750 (68.328)
Epoch: [10][3810/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.4510 (2.5892) Prec@1 43.750 (42.657) Prec@5 68.750 (68.330)
Epoch: [10][3820/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5517 (2.5891) Prec@1 46.484 (42.663) Prec@5 66.797 (68.332)
Epoch: [10][3830/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.7756 (2.5890) Prec@1 39.062 (42.663) Prec@5 63.672 (68.331)
Epoch: [10][3840/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.6058 (2.5890) Prec@1 40.625 (42.664) Prec@5 68.359 (68.333)
Epoch: [10][3850/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.7378 (2.5892) Prec@1 42.578 (42.661) Prec@5 66.406 (68.331)
Epoch: [10][3860/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.5666 (2.5893) Prec@1 40.625 (42.661) Prec@5 68.750 (68.330)
Epoch: [10][3870/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4204 (2.5892) Prec@1 44.922 (42.661) Prec@5 70.312 (68.329)
Epoch: [10][3880/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.8188 (2.5892) Prec@1 42.188 (42.661) Prec@5 64.062 (68.329)
Epoch: [10][3890/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.9127 (2.5893) Prec@1 40.625 (42.658) Prec@5 62.500 (68.325)
Epoch: [10][3900/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.4105 (2.5893) Prec@1 44.531 (42.658) Prec@5 71.094 (68.324)
Epoch: [10][3910/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.6285 (2.5895) Prec@1 43.359 (42.658) Prec@5 63.672 (68.320)
Epoch: [10][3920/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.9015 (2.5895) Prec@1 37.109 (42.658) Prec@5 63.281 (68.319)
Epoch: [10][3930/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.5148 (2.5894) Prec@1 42.578 (42.662) Prec@5 70.703 (68.320)
Epoch: [10][3940/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.3306 (2.5893) Prec@1 46.484 (42.664) Prec@5 73.047 (68.323)
Epoch: [10][3950/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.2662 (2.5893) Prec@1 49.219 (42.667) Prec@5 72.266 (68.322)
Epoch: [10][3960/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6226 (2.5892) Prec@1 44.141 (42.667) Prec@5 66.406 (68.323)
Epoch: [10][3970/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.7941 (2.5894) Prec@1 37.109 (42.665) Prec@5 65.234 (68.323)
Epoch: [10][3980/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.4138 (2.5892) Prec@1 41.797 (42.668) Prec@5 69.531 (68.323)
Epoch: [10][3990/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6046 (2.5890) Prec@1 40.234 (42.673) Prec@5 70.703 (68.328)
Epoch: [10][4000/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4564 (2.5890) Prec@1 46.094 (42.674) Prec@5 69.531 (68.327)
Epoch: [10][4010/5005] Time 0.605 (0.614) Data 0.000 (0.002) Loss 2.4893 (2.5890) Prec@1 43.359 (42.671) Prec@5 69.141 (68.328)
Epoch: [10][4020/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.5476 (2.5890) Prec@1 39.062 (42.671) Prec@5 69.141 (68.330)
Epoch: [10][4030/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4680 (2.5889) Prec@1 42.578 (42.674) Prec@5 67.578 (68.331)
Epoch: [10][4040/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5801 (2.5886) Prec@1 44.141 (42.676) Prec@5 67.969 (68.334)
Epoch: [10][4050/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.4296 (2.5885) Prec@1 43.359 (42.677) Prec@5 71.484 (68.340)
Epoch: [10][4060/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.4538 (2.5885) Prec@1 45.312 (42.679) Prec@5 70.703 (68.341)
Epoch: [10][4070/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.7268 (2.5886) Prec@1 41.016 (42.678) Prec@5 70.703 (68.338)
Epoch: [10][4080/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.6252 (2.5887) Prec@1 38.281 (42.680) Prec@5 67.188 (68.338)
Epoch: [10][4090/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4069 (2.5885) Prec@1 44.141 (42.683) Prec@5 72.266 (68.340)
Epoch: [10][4100/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6546 (2.5885) Prec@1 36.328 (42.678) Prec@5 68.750 (68.339)
Epoch: [10][4110/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5473 (2.5887) Prec@1 43.359 (42.676) Prec@5 69.922 (68.335)
Epoch: [10][4120/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5419 (2.5887) Prec@1 46.094 (42.678) Prec@5 68.359 (68.334)
Epoch: [10][4130/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4765 (2.5886) Prec@1 43.359 (42.679) Prec@5 69.531 (68.337)
Epoch: [10][4140/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.6181 (2.5886) Prec@1 46.094 (42.684) Prec@5 67.578 (68.338)
Epoch: [10][4150/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.7305 (2.5886) Prec@1 41.016 (42.686) Prec@5 67.578 (68.337)
Epoch: [10][4160/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.6740 (2.5886) Prec@1 43.359 (42.684) Prec@5 72.266 (68.338)
Epoch: [10][4170/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4635 (2.5883) Prec@1 45.703 (42.689) Prec@5 71.484 (68.342)
Epoch: [10][4180/5005] Time 0.614 (0.614) Data 0.001 (0.001) Loss 2.4780 (2.5884) Prec@1 43.359 (42.687) Prec@5 71.094 (68.344)
Epoch: [10][4190/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.7041 (2.5883) Prec@1 41.016 (42.687) Prec@5 65.625 (68.345)
Epoch: [10][4200/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.6724 (2.5883) Prec@1 40.625 (42.686) Prec@5 63.672 (68.345)
Epoch: [10][4210/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.7580 (2.5882) Prec@1 38.281 (42.689) Prec@5 65.234 (68.346)
Epoch: [10][4220/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.6448 (2.5880) Prec@1 41.016 (42.694) Prec@5 64.844 (68.350)
Epoch: [10][4230/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.5608 (2.5881) Prec@1 42.578 (42.691) Prec@5 71.484 (68.350)
Epoch: [10][4240/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5455 (2.5881) Prec@1 44.922 (42.692) Prec@5 68.359 (68.348)
Epoch: [10][4250/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5897 (2.5880) Prec@1 41.406 (42.696) Prec@5 68.359 (68.350)
Epoch: [10][4260/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.6086 (2.5878) Prec@1 42.188 (42.699) Prec@5 66.797 (68.352)
Epoch: [10][4270/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6663 (2.5879) Prec@1 39.453 (42.698) Prec@5 70.703 (68.350)
Epoch: [10][4280/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.4575 (2.5877) Prec@1 46.484 (42.702) Prec@5 68.750 (68.351)
Epoch: [10][4290/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.3385 (2.5875) Prec@1 46.875 (42.705) Prec@5 69.922 (68.355)
Epoch: [10][4300/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.4038 (2.5873) Prec@1 46.094 (42.712) Prec@5 73.438 (68.358)
Epoch: [10][4310/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4664 (2.5872) Prec@1 44.531 (42.713) Prec@5 70.703 (68.361)
Epoch: [10][4320/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4088 (2.5871) Prec@1 42.969 (42.714) Prec@5 69.922 (68.364)
Epoch: [10][4330/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6058 (2.5871) Prec@1 41.406 (42.714) Prec@5 67.188 (68.361)
Epoch: [10][4340/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.6557 (2.5871) Prec@1 41.797 (42.714) Prec@5 64.453 (68.360)
Epoch: [10][4350/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5640 (2.5870) Prec@1 41.797 (42.713) Prec@5 69.531 (68.363)
Epoch: [10][4360/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6077 (2.5871) Prec@1 43.750 (42.713) Prec@5 70.312 (68.363)
Epoch: [10][4370/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4722 (2.5870) Prec@1 42.578 (42.714) Prec@5 71.484 (68.364)
Epoch: [10][4380/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5321 (2.5869) Prec@1 45.703 (42.718) Prec@5 67.969 (68.366)
Epoch: [10][4390/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.7003 (2.5869) Prec@1 44.141 (42.719) Prec@5 69.141 (68.367)
Epoch: [10][4400/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4790 (2.5866) Prec@1 45.703 (42.723) Prec@5 67.578 (68.373)
Epoch: [10][4410/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7762 (2.5866) Prec@1 39.062 (42.727) Prec@5 66.016 (68.372)
Epoch: [10][4420/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5352 (2.5867) Prec@1 42.969 (42.725) Prec@5 70.703 (68.368)
Epoch: [10][4430/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.6043 (2.5865) Prec@1 41.406 (42.727) Prec@5 69.531 (68.371)
Epoch: [10][4440/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.7406 (2.5863) Prec@1 38.281 (42.729) Prec@5 66.797 (68.374)
Epoch: [10][4450/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.4038 (2.5863) Prec@1 44.141 (42.730) Prec@5 69.922 (68.374)
Epoch: [10][4460/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.6077 (2.5863) Prec@1 45.703 (42.729) Prec@5 68.750 (68.374)
Epoch: [10][4470/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5548 (2.5862) Prec@1 43.359 (42.730) Prec@5 65.625 (68.373)
Epoch: [10][4480/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.5473 (2.5860) Prec@1 43.359 (42.733) Prec@5 67.969 (68.375)
Epoch: [10][4490/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3663 (2.5859) Prec@1 45.312 (42.736) Prec@5 71.094 (68.377)
Epoch: [10][4500/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.5268 (2.5858) Prec@1 44.141 (42.736) Prec@5 73.438 (68.380)
Epoch: [10][4510/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3336 (2.5858) Prec@1 50.000 (42.737) Prec@5 71.875 (68.378)
Epoch: [10][4520/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.2967 (2.5856) Prec@1 47.656 (42.739) Prec@5 75.391 (68.382)
Epoch: [10][4530/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4656 (2.5855) Prec@1 42.188 (42.741) Prec@5 71.484 (68.385)
Epoch: [10][4540/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.4655 (2.5854) Prec@1 45.312 (42.744) Prec@5 67.578 (68.387)
Epoch: [10][4550/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.5752 (2.5854) Prec@1 45.703 (42.745) Prec@5 67.969 (68.386)
Epoch: [10][4560/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.6332 (2.5853) Prec@1 42.578 (42.749) Prec@5 67.578 (68.389)
Epoch: [10][4570/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.6934 (2.5853) Prec@1 43.750 (42.750) Prec@5 68.750 (68.388)
Epoch: [10][4580/5005] Time 0.607 (0.614) Data 0.001 (0.001) Loss 2.2316 (2.5853) Prec@1 48.438 (42.750) Prec@5 71.094 (68.389)
Epoch: [10][4590/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.4120 (2.5853) Prec@1 46.484 (42.752) Prec@5 68.359 (68.390)
Epoch: [10][4600/5005] Time 0.594 (0.614) Data 0.001 (0.001) Loss 2.4766 (2.5852) Prec@1 46.484 (42.754) Prec@5 69.922 (68.391)
Epoch: [10][4610/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.3092 (2.5852) Prec@1 50.391 (42.753) Prec@5 72.266 (68.392)
Epoch: [10][4620/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.6794 (2.5853) Prec@1 40.234 (42.751) Prec@5 66.406 (68.389)
Epoch: [10][4630/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6570 (2.5853) Prec@1 44.531 (42.753) Prec@5 67.578 (68.390)
Epoch: [10][4640/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.7481 (2.5852) Prec@1 40.234 (42.753) Prec@5 65.234 (68.391)
Epoch: [10][4650/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.4505 (2.5853) Prec@1 44.141 (42.754) Prec@5 69.922 (68.390)
Epoch: [10][4660/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4856 (2.5852) Prec@1 46.094 (42.758) Prec@5 69.141 (68.392)
Epoch: [10][4670/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5557 (2.5852) Prec@1 41.797 (42.760) Prec@5 70.312 (68.393)
Epoch: [10][4680/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.6809 (2.5852) Prec@1 38.672 (42.760) Prec@5 65.234 (68.393)
Epoch: [10][4690/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6597 (2.5854) Prec@1 41.406 (42.758) Prec@5 66.016 (68.389)
Epoch: [10][4700/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6781 (2.5854) Prec@1 42.188 (42.759) Prec@5 65.625 (68.390)
Epoch: [10][4710/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.3527 (2.5852) Prec@1 47.656 (42.760) Prec@5 69.141 (68.392)
Epoch: [10][4720/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6274 (2.5854) Prec@1 41.016 (42.760) Prec@5 66.406 (68.390)
Epoch: [10][4730/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6759 (2.5853) Prec@1 37.500 (42.761) Prec@5 65.234 (68.391)
Epoch: [10][4740/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.7250 (2.5851) Prec@1 36.328 (42.766) Prec@5 70.312 (68.394)
Epoch: [10][4750/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.5439 (2.5852) Prec@1 39.844 (42.765) Prec@5 70.312 (68.393)
Epoch: [10][4760/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.5544 (2.5850) Prec@1 41.406 (42.766) Prec@5 68.359 (68.395)
Epoch: [10][4770/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.3122 (2.5848) Prec@1 45.703 (42.770) Prec@5 71.094 (68.396)
Epoch: [10][4780/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.6779 (2.5848) Prec@1 40.625 (42.772) Prec@5 67.578 (68.397)
Epoch: [10][4790/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5862 (2.5848) Prec@1 43.359 (42.771) Prec@5 67.578 (68.395)
Epoch: [10][4800/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5081 (2.5847) Prec@1 42.969 (42.773) Prec@5 70.312 (68.398)
Epoch: [10][4810/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.6704 (2.5846) Prec@1 44.141 (42.776) Prec@5 64.844 (68.399)
Epoch: [10][4820/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4585 (2.5846) Prec@1 46.484 (42.776) Prec@5 71.484 (68.399)
Epoch: [10][4830/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5852 (2.5845) Prec@1 38.672 (42.777) Prec@5 65.234 (68.400)
Epoch: [10][4840/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4805 (2.5845) Prec@1 43.359 (42.778) Prec@5 72.266 (68.400)
Epoch: [10][4850/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4709 (2.5843) Prec@1 41.016 (42.782) Prec@5 70.312 (68.403)
Epoch: [10][4860/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.1712 (2.5841) Prec@1 50.781 (42.787) Prec@5 74.219 (68.406)
Epoch: [10][4870/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.7416 (2.5842) Prec@1 41.797 (42.786) Prec@5 69.531 (68.405)
Epoch: [10][4880/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5327 (2.5841) Prec@1 42.969 (42.791) Prec@5 68.750 (68.406)
Epoch: [10][4890/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6378 (2.5841) Prec@1 44.141 (42.794) Prec@5 69.531 (68.406)
Epoch: [10][4900/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4908 (2.5840) Prec@1 44.141 (42.793) Prec@5 70.312 (68.406)
Epoch: [10][4910/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.2304 (2.5839) Prec@1 44.531 (42.793) Prec@5 73.047 (68.408)
Epoch: [10][4920/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5686 (2.5841) Prec@1 48.828 (42.792) Prec@5 72.266 (68.406)
Epoch: [10][4930/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4661 (2.5840) Prec@1 44.531 (42.795) Prec@5 70.312 (68.407)
Epoch: [10][4940/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.5717 (2.5838) Prec@1 45.703 (42.797) Prec@5 67.578 (68.410)
Epoch: [10][4950/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.4841 (2.5837) Prec@1 44.922 (42.799) Prec@5 67.188 (68.410)
Epoch: [10][4960/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5193 (2.5838) Prec@1 42.188 (42.798) Prec@5 69.141 (68.411)
Epoch: [10][4970/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7414 (2.5837) Prec@1 39.844 (42.798) Prec@5 62.109 (68.410)
Epoch: [10][4980/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6165 (2.5837) Prec@1 43.359 (42.796) Prec@5 67.578 (68.409)
Epoch: [10][4990/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.4116 (2.5833) Prec@1 43.359 (42.803) Prec@5 71.484 (68.416)
Epoch: [10][5000/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.5116 (2.5832) Prec@1 44.141 (42.804) Prec@5 68.750 (68.417)
Test: [0/196] Time 5.090 (5.090) Loss 1.3447 (1.3447) Prec@1 66.797 (66.797) Prec@5 87.109 (87.109)
Test: [10/196] Time 0.203 (0.653) Loss 1.9988 (1.5172) Prec@1 43.750 (61.967) Prec@5 84.375 (85.440)
Test: [20/196] Time 0.207 (0.439) Loss 1.5635 (1.4548) Prec@1 65.625 (63.914) Prec@5 82.031 (85.510)
Test: [30/196] Time 0.204 (0.363) Loss 1.5018 (1.4386) Prec@1 60.547 (64.730) Prec@5 87.500 (85.610)
Test: [40/196] Time 0.202 (0.324) Loss 1.5294 (1.4948) Prec@1 62.891 (62.176) Prec@5 88.281 (85.633)
Test: [50/196] Time 0.202 (0.301) Loss 1.4692 (1.4829) Prec@1 57.812 (61.857) Prec@5 87.891 (86.114)
Test: [60/196] Time 0.202 (0.285) Loss 1.8761 (1.4833) Prec@1 55.469 (61.751) Prec@5 81.641 (86.264)
Test: [70/196] Time 0.204 (0.274) Loss 1.6078 (1.4815) Prec@1 57.031 (61.884) Prec@5 83.203 (86.235)
Test: [80/196] Time 0.202 (0.266) Loss 2.6386 (1.5126) Prec@1 38.672 (61.188) Prec@5 67.969 (85.749)
Test: [90/196] Time 0.206 (0.259) Loss 3.3374 (1.6056) Prec@1 30.078 (59.512) Prec@5 61.328 (84.388)
Test: [100/196] Time 0.202 (0.253) Loss 2.5928 (1.6862) Prec@1 37.109 (58.002) Prec@5 69.531 (83.149)
Test: [110/196] Time 0.203 (0.249) Loss 1.6903 (1.7248) Prec@1 63.672 (57.503) Prec@5 81.641 (82.531)
Test: [120/196] Time 0.204 (0.246) Loss 2.6273 (1.7603) Prec@1 45.312 (57.160) Prec@5 69.922 (81.883)
Test: [130/196] Time 0.202 (0.242) Loss 1.8133 (1.8074) Prec@1 60.938 (56.196) Prec@5 78.516 (81.161)
Test: [140/196] Time 0.205 (0.240) Loss 2.3986 (1.8541) Prec@1 48.047 (55.383) Prec@5 74.609 (80.347)
Test: [150/196] Time 0.204 (0.237) Loss 2.2801 (1.8918) Prec@1 54.297 (54.863) Prec@5 73.828 (79.752)
Test: [160/196] Time 0.203 (0.235) Loss 1.8329 (1.9188) Prec@1 61.328 (54.445) Prec@5 80.859 (79.338)
Test: [170/196] Time 0.208 (0.234) Loss 1.3599 (1.9483) Prec@1 61.328 (53.893) Prec@5 89.062 (78.815)
Test: [180/196] Time 0.202 (0.232) Loss 1.8499 (1.9715) Prec@1 52.734 (53.440) Prec@5 84.766 (78.481)
Test: [190/196] Time 0.202 (0.230) Loss 1.7429 (1.9690) Prec@1 53.906 (53.415) Prec@5 84.766 (78.602)
* Prec@1 53.692 Prec@5 78.724
Epoch: [11][0/5005] Time 4.546 (4.546) Data 4.281 (4.281) Loss 2.0900 (2.0900) Prec@1 48.438 (48.438) Prec@5 76.562 (76.562)
Epoch: [11][10/5005] Time 0.601 (0.971) Data 0.000 (0.390) Loss 2.6942 (2.5223) Prec@1 44.141 (42.791) Prec@5 67.969 (70.348)
Epoch: [11][20/5005] Time 0.617 (0.799) Data 0.000 (0.204) Loss 2.1609 (2.4893) Prec@1 50.781 (44.699) Prec@5 74.219 (70.219)
Epoch: [11][30/5005] Time 0.620 (0.739) Data 0.000 (0.139) Loss 2.5280 (2.5039) Prec@1 44.922 (44.582) Prec@5 66.797 (69.733)
Epoch: [11][40/5005] Time 0.619 (0.709) Data 0.000 (0.105) Loss 2.4734 (2.4822) Prec@1 46.094 (44.979) Prec@5 71.875 (70.112)
Epoch: [11][50/5005] Time 0.607 (0.690) Data 0.000 (0.084) Loss 2.5228 (2.4817) Prec@1 42.969 (44.730) Prec@5 70.703 (70.106)
Epoch: [11][60/5005] Time 0.619 (0.678) Data 0.000 (0.071) Loss 2.8375 (2.4922) Prec@1 37.109 (44.422) Prec@5 63.281 (69.864)
Epoch: [11][70/5005] Time 0.611 (0.669) Data 0.000 (0.061) Loss 2.4526 (2.4921) Prec@1 47.266 (44.350) Prec@5 69.141 (69.878)
Epoch: [11][80/5005] Time 0.620 (0.662) Data 0.000 (0.053) Loss 2.4006 (2.4934) Prec@1 44.922 (44.382) Prec@5 72.656 (69.932)
Epoch: [11][90/5005] Time 0.606 (0.657) Data 0.000 (0.047) Loss 2.4450 (2.4932) Prec@1 47.266 (44.368) Prec@5 69.141 (69.926)
Epoch: [11][100/5005] Time 0.616 (0.653) Data 0.000 (0.043) Loss 2.4663 (2.4930) Prec@1 44.141 (44.380) Prec@5 69.531 (69.972)
Epoch: [11][110/5005] Time 0.609 (0.649) Data 0.000 (0.039) Loss 2.5245 (2.4938) Prec@1 44.922 (44.345) Prec@5 70.703 (69.989)
Epoch: [11][120/5005] Time 0.621 (0.646) Data 0.000 (0.036) Loss 2.4394 (2.4896) Prec@1 45.312 (44.531) Prec@5 69.141 (70.041)
Epoch: [11][130/5005] Time 0.614 (0.644) Data 0.000 (0.033) Loss 2.4565 (2.4891) Prec@1 39.844 (44.543) Prec@5 68.750 (69.984)
Epoch: [11][140/5005] Time 0.619 (0.641) Data 0.000 (0.031) Loss 2.4666 (2.4892) Prec@1 47.266 (44.526) Prec@5 70.703 (69.952)
Epoch: [11][150/5005] Time 0.614 (0.640) Data 0.001 (0.029) Loss 2.6022 (2.4900) Prec@1 40.625 (44.456) Prec@5 67.188 (69.979)
Epoch: [11][160/5005] Time 0.605 (0.638) Data 0.000 (0.027) Loss 2.5974 (2.4906) Prec@1 42.188 (44.478) Prec@5 69.531 (70.002)
Epoch: [11][170/5005] Time 0.613 (0.637) Data 0.000 (0.025) Loss 2.7670 (2.4897) Prec@1 37.109 (44.497) Prec@5 64.844 (70.018)
Epoch: [11][180/5005] Time 0.612 (0.635) Data 0.000 (0.024) Loss 2.6953 (2.4932) Prec@1 40.234 (44.447) Prec@5 66.016 (69.933)
Epoch: [11][190/5005] Time 0.613 (0.634) Data 0.000 (0.023) Loss 2.7735 (2.4953) Prec@1 39.844 (44.409) Prec@5 64.453 (69.887)
Epoch: [11][200/5005] Time 0.615 (0.633) Data 0.000 (0.022) Loss 2.6220 (2.4990) Prec@1 42.578 (44.420) Prec@5 67.578 (69.827)
Epoch: [11][210/5005] Time 0.618 (0.632) Data 0.000 (0.021) Loss 2.4491 (2.5002) Prec@1 43.750 (44.381) Prec@5 69.531 (69.777)
Epoch: [11][220/5005] Time 0.609 (0.631) Data 0.000 (0.020) Loss 2.3125 (2.4980) Prec@1 44.922 (44.386) Prec@5 72.266 (69.819)
Epoch: [11][230/5005] Time 0.612 (0.631) Data 0.000 (0.019) Loss 2.6541 (2.5042) Prec@1 41.406 (44.225) Prec@5 66.797 (69.727)
Epoch: [11][240/5005] Time 0.607 (0.630) Data 0.000 (0.018) Loss 2.7563 (2.5019) Prec@1 36.719 (44.215) Prec@5 67.188 (69.789)
Epoch: [11][250/5005] Time 0.621 (0.629) Data 0.000 (0.017) Loss 2.6235 (2.5025) Prec@1 43.750 (44.228) Prec@5 67.969 (69.783)
Epoch: [11][260/5005] Time 0.610 (0.629) Data 0.000 (0.017) Loss 2.6797 (2.5059) Prec@1 43.359 (44.181) Prec@5 68.359 (69.739)
Epoch: [11][270/5005] Time 0.615 (0.628) Data 0.000 (0.016) Loss 2.5593 (2.5042) Prec@1 41.406 (44.201) Prec@5 68.750 (69.778)
Epoch: [11][280/5005] Time 0.611 (0.628) Data 0.000 (0.016) Loss 2.2908 (2.5031) Prec@1 44.141 (44.252) Prec@5 72.266 (69.798)
Epoch: [11][290/5005] Time 0.612 (0.627) Data 0.000 (0.015) Loss 2.4050 (2.5034) Prec@1 46.875 (44.245) Prec@5 71.484 (69.804)
Epoch: [11][300/5005] Time 0.614 (0.627) Data 0.000 (0.015) Loss 2.7008 (2.5033) Prec@1 42.188 (44.229) Prec@5 67.969 (69.775)
Epoch: [11][310/5005] Time 0.616 (0.626) Data 0.000 (0.014) Loss 2.3965 (2.5027) Prec@1 43.750 (44.256) Prec@5 73.438 (69.785)
Epoch: [11][320/5005] Time 0.608 (0.626) Data 0.000 (0.014) Loss 2.5179 (2.5036) Prec@1 42.188 (44.211) Prec@5 68.359 (69.754)
Epoch: [11][330/5005] Time 0.616 (0.626) Data 0.000 (0.013) Loss 2.2147 (2.5043) Prec@1 50.000 (44.163) Prec@5 75.000 (69.733)
Epoch: [11][340/5005] Time 0.617 (0.625) Data 0.000 (0.013) Loss 2.4673 (2.5045) Prec@1 44.531 (44.157) Prec@5 69.531 (69.709)
Epoch: [11][350/5005] Time 0.611 (0.625) Data 0.001 (0.013) Loss 2.6456 (2.5044) Prec@1 43.359 (44.162) Prec@5 68.359 (69.728)
Epoch: [11][360/5005] Time 0.614 (0.625) Data 0.000 (0.012) Loss 2.7069 (2.5066) Prec@1 40.625 (44.134) Prec@5 66.406 (69.697)
Epoch: [11][370/5005] Time 0.610 (0.624) Data 0.000 (0.012) Loss 2.4450 (2.5092) Prec@1 44.922 (44.100) Prec@5 71.094 (69.657)
Epoch: [11][380/5005] Time 0.612 (0.624) Data 0.000 (0.012) Loss 2.8280 (2.5096) Prec@1 40.625 (44.103) Prec@5 65.234 (69.658)
Epoch: [11][390/5005] Time 0.609 (0.624) Data 0.000 (0.011) Loss 2.4468 (2.5118) Prec@1 45.312 (44.081) Prec@5 70.703 (69.610)
Epoch: [11][400/5005] Time 0.616 (0.624) Data 0.000 (0.011) Loss 2.3321 (2.5121) Prec@1 46.094 (44.040) Prec@5 71.484 (69.592)
Epoch: [11][410/5005] Time 0.618 (0.623) Data 0.000 (0.011) Loss 2.5033 (2.5125) Prec@1 44.922 (44.009) Prec@5 66.016 (69.574)
Epoch: [11][420/5005] Time 0.615 (0.623) Data 0.000 (0.011) Loss 2.4087 (2.5124) Prec@1 46.094 (44.040) Prec@5 70.703 (69.586)
Epoch: [11][430/5005] Time 0.615 (0.623) Data 0.000 (0.010) Loss 2.5754 (2.5125) Prec@1 42.188 (44.031) Prec@5 67.969 (69.588)
Epoch: [11][440/5005] Time 0.616 (0.623) Data 0.000 (0.010) Loss 2.5565 (2.5131) Prec@1 43.750 (44.024) Prec@5 70.703 (69.593)
Epoch: [11][450/5005] Time 0.624 (0.622) Data 0.000 (0.010) Loss 2.4020 (2.5106) Prec@1 47.266 (44.077) Prec@5 68.359 (69.635)
Epoch: [11][460/5005] Time 0.616 (0.622) Data 0.000 (0.010) Loss 2.2186 (2.5112) Prec@1 49.609 (44.075) Prec@5 73.828 (69.631)
Epoch: [11][470/5005] Time 0.621 (0.622) Data 0.000 (0.010) Loss 2.5735 (2.5106) Prec@1 41.797 (44.068) Prec@5 66.016 (69.632)
Epoch: [11][480/5005] Time 0.618 (0.622) Data 0.000 (0.009) Loss 2.6373 (2.5082) Prec@1 40.625 (44.113) Prec@5 71.094 (69.675)
Epoch: [11][490/5005] Time 0.612 (0.622) Data 0.000 (0.009) Loss 2.3064 (2.5091) Prec@1 51.172 (44.100) Prec@5 74.219 (69.664)
Epoch: [11][500/5005] Time 0.610 (0.622) Data 0.000 (0.009) Loss 2.4603 (2.5097) Prec@1 44.922 (44.080) Prec@5 69.531 (69.647)
Epoch: [11][510/5005] Time 0.608 (0.621) Data 0.000 (0.009) Loss 2.2983 (2.5084) Prec@1 45.312 (44.103) Prec@5 71.094 (69.663)
Epoch: [11][520/5005] Time 0.619 (0.621) Data 0.000 (0.009) Loss 2.5802 (2.5081) Prec@1 44.531 (44.120) Prec@5 69.141 (69.671)
Epoch: [11][530/5005] Time 0.621 (0.621) Data 0.000 (0.009) Loss 2.7125 (2.5096) Prec@1 41.797 (44.119) Prec@5 64.844 (69.638)
Epoch: [11][540/5005] Time 0.612 (0.621) Data 0.000 (0.008) Loss 2.2734 (2.5105) Prec@1 47.266 (44.108) Prec@5 74.219 (69.606)
Epoch: [11][550/5005] Time 0.605 (0.621) Data 0.000 (0.008) Loss 2.4474 (2.5106) Prec@1 45.312 (44.112) Prec@5 71.875 (69.616)
Epoch: [11][560/5005] Time 0.613 (0.621) Data 0.000 (0.008) Loss 2.6782 (2.5112) Prec@1 42.578 (44.119) Prec@5 65.234 (69.589)
Epoch: [11][570/5005] Time 0.611 (0.621) Data 0.001 (0.008) Loss 2.5873 (2.5104) Prec@1 44.141 (44.151) Prec@5 69.531 (69.607)
Epoch: [11][580/5005] Time 0.609 (0.621) Data 0.000 (0.008) Loss 2.6718 (2.5105) Prec@1 42.188 (44.140) Prec@5 66.797 (69.605)
Epoch: [11][590/5005] Time 0.616 (0.620) Data 0.000 (0.008) Loss 2.6155 (2.5110) Prec@1 39.062 (44.121) Prec@5 66.797 (69.593)
Epoch: [11][600/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 2.4321 (2.5108) Prec@1 48.438 (44.146) Prec@5 71.484 (69.581)
Epoch: [11][610/5005] Time 0.619 (0.620) Data 0.000 (0.007) Loss 2.4951 (2.5113) Prec@1 46.875 (44.116) Prec@5 72.656 (69.588)
Epoch: [11][620/5005] Time 0.610 (0.620) Data 0.000 (0.007) Loss 2.4205 (2.5108) Prec@1 44.922 (44.148) Prec@5 73.438 (69.590)
Epoch: [11][630/5005] Time 0.607 (0.620) Data 0.000 (0.007) Loss 2.5474 (2.5104) Prec@1 47.656 (44.165) Prec@5 67.188 (69.584)
Epoch: [11][640/5005] Time 0.621 (0.620) Data 0.001 (0.007) Loss 2.5511 (2.5118) Prec@1 42.969 (44.145) Prec@5 69.922 (69.558)
Epoch: [11][650/5005] Time 0.617 (0.620) Data 0.000 (0.007) Loss 2.5816 (2.5122) Prec@1 39.062 (44.119) Prec@5 68.359 (69.555)
Epoch: [11][660/5005] Time 0.613 (0.620) Data 0.000 (0.007) Loss 2.4794 (2.5121) Prec@1 44.531 (44.112) Prec@5 67.188 (69.549)
Epoch: [11][670/5005] Time 0.614 (0.620) Data 0.000 (0.007) Loss 2.5974 (2.5128) Prec@1 42.969 (44.093) Prec@5 67.188 (69.549)
Epoch: [11][680/5005] Time 0.616 (0.620) Data 0.001 (0.007) Loss 2.4223 (2.5119) Prec@1 45.312 (44.123) Prec@5 73.438 (69.578)
Epoch: [11][690/5005] Time 0.615 (0.619) Data 0.000 (0.007) Loss 2.4130 (2.5118) Prec@1 48.047 (44.123) Prec@5 71.094 (69.573)
Epoch: [11][700/5005] Time 0.610 (0.619) Data 0.000 (0.007) Loss 2.3345 (2.5109) Prec@1 47.266 (44.133) Prec@5 71.875 (69.580)
Epoch: [11][710/5005] Time 0.614 (0.619) Data 0.000 (0.006) Loss 2.8015 (2.5110) Prec@1 35.938 (44.122) Prec@5 67.188 (69.569)
Epoch: [11][720/5005] Time 0.621 (0.619) Data 0.000 (0.006) Loss 2.3972 (2.5104) Prec@1 42.969 (44.137) Prec@5 70.703 (69.579)
Epoch: [11][730/5005] Time 0.606 (0.619) Data 0.000 (0.006) Loss 2.6113 (2.5109) Prec@1 37.891 (44.120) Prec@5 67.969 (69.575)
Epoch: [11][740/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 2.4304 (2.5107) Prec@1 46.484 (44.128) Prec@5 71.094 (69.572)
Epoch: [11][750/5005] Time 0.615 (0.619) Data 0.000 (0.006) Loss 2.5165 (2.5107) Prec@1 42.578 (44.116) Prec@5 67.188 (69.572)
Epoch: [11][760/5005] Time 0.613 (0.619) Data 0.000 (0.006) Loss 2.4904 (2.5110) Prec@1 40.625 (44.114) Prec@5 67.969 (69.571)
Epoch: [11][770/5005] Time 0.609 (0.619) Data 0.000 (0.006) Loss 2.4430 (2.5112) Prec@1 46.094 (44.120) Prec@5 70.703 (69.571)
Epoch: [11][780/5005] Time 0.616 (0.619) Data 0.001 (0.006) Loss 2.2721 (2.5109) Prec@1 45.703 (44.133) Prec@5 74.609 (69.587)
Epoch: [11][790/5005] Time 0.614 (0.619) Data 0.000 (0.006) Loss 2.4043 (2.5104) Prec@1 47.266 (44.145) Prec@5 71.094 (69.599)
Epoch: [11][800/5005] Time 0.609 (0.619) Data 0.000 (0.006) Loss 2.6858 (2.5109) Prec@1 44.922 (44.136) Prec@5 69.141 (69.581)
Epoch: [11][810/5005] Time 0.608 (0.619) Data 0.000 (0.006) Loss 2.3147 (2.5117) Prec@1 42.578 (44.122) Prec@5 68.750 (69.559)
Epoch: [11][820/5005] Time 0.615 (0.618) Data 0.000 (0.006) Loss 2.6147 (2.5124) Prec@1 44.922 (44.114) Prec@5 66.797 (69.538)
Epoch: [11][830/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 2.5216 (2.5130) Prec@1 44.141 (44.108) Prec@5 67.188 (69.528)
Epoch: [11][840/5005] Time 0.613 (0.618) Data 0.001 (0.006) Loss 2.6496 (2.5140) Prec@1 40.625 (44.089) Prec@5 65.234 (69.517)
Epoch: [11][850/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 2.4637 (2.5137) Prec@1 44.922 (44.092) Prec@5 67.969 (69.515)
Epoch: [11][860/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 2.3930 (2.5136) Prec@1 45.703 (44.094) Prec@5 66.797 (69.515)
Epoch: [11][870/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 2.4792 (2.5140) Prec@1 50.000 (44.104) Prec@5 71.484 (69.510)
Epoch: [11][880/5005] Time 0.606 (0.618) Data 0.000 (0.005) Loss 2.6332 (2.5138) Prec@1 44.922 (44.099) Prec@5 67.969 (69.512)
Epoch: [11][890/5005] Time 0.618 (0.618) Data 0.000 (0.005) Loss 2.6035 (2.5141) Prec@1 42.578 (44.091) Prec@5 70.703 (69.511)
Epoch: [11][900/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 2.2872 (2.5137) Prec@1 45.703 (44.080) Prec@5 71.094 (69.515)
Epoch: [11][910/5005] Time 0.610 (0.618) Data 0.000 (0.005) Loss 2.2118 (2.5139) Prec@1 50.000 (44.071) Prec@5 75.391 (69.505)
Epoch: [11][920/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 2.4889 (2.5144) Prec@1 46.094 (44.074) Prec@5 69.531 (69.489)
Epoch: [11][930/5005] Time 0.607 (0.618) Data 0.000 (0.005) Loss 2.4401 (2.5141) Prec@1 46.094 (44.078) Prec@5 69.141 (69.488)
Epoch: [11][940/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.5974 (2.5143) Prec@1 41.016 (44.066) Prec@5 69.141 (69.491)
Epoch: [11][950/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 2.4437 (2.5143) Prec@1 46.875 (44.056) Prec@5 71.875 (69.490)
Epoch: [11][960/5005] Time 0.620 (0.618) Data 0.000 (0.005) Loss 2.5939 (2.5149) Prec@1 39.844 (44.049) Prec@5 69.141 (69.491)
Epoch: [11][970/5005] Time 0.620 (0.618) Data 0.000 (0.005) Loss 2.4420 (2.5149) Prec@1 45.312 (44.053) Prec@5 71.484 (69.496)
Epoch: [11][980/5005] Time 0.619 (0.618) Data 0.000 (0.005) Loss 2.5672 (2.5154) Prec@1 42.969 (44.045) Prec@5 71.094 (69.492)
Epoch: [11][990/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.4262 (2.5149) Prec@1 42.578 (44.052) Prec@5 70.703 (69.502)
Epoch: [11][1000/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 2.4045 (2.5157) Prec@1 43.750 (44.036) Prec@5 72.656 (69.489)
Epoch: [11][1010/5005] Time 0.618 (0.618) Data 0.000 (0.005) Loss 2.7019 (2.5151) Prec@1 46.094 (44.061) Prec@5 66.016 (69.493)
Epoch: [11][1020/5005] Time 0.610 (0.618) Data 0.000 (0.005) Loss 2.5005 (2.5159) Prec@1 42.188 (44.053) Prec@5 69.141 (69.475)
Epoch: [11][1030/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 2.4953 (2.5158) Prec@1 46.094 (44.062) Prec@5 67.578 (69.479)
Epoch: [11][1040/5005] Time 0.620 (0.617) Data 0.000 (0.005) Loss 2.3026 (2.5154) Prec@1 45.312 (44.061) Prec@5 71.094 (69.483)
Epoch: [11][1050/5005] Time 0.615 (0.617) Data 0.000 (0.005) Loss 2.2502 (2.5148) Prec@1 48.438 (44.059) Prec@5 72.656 (69.491)
Epoch: [11][1060/5005] Time 0.614 (0.617) Data 0.001 (0.004) Loss 2.3672 (2.5142) Prec@1 50.781 (44.076) Prec@5 72.266 (69.504)
Epoch: [11][1070/5005] Time 0.622 (0.617) Data 0.000 (0.004) Loss 2.5546 (2.5145) Prec@1 42.578 (44.063) Prec@5 66.016 (69.501)
Epoch: [11][1080/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.5790 (2.5144) Prec@1 42.969 (44.056) Prec@5 68.750 (69.507)
Epoch: [11][1090/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.7923 (2.5150) Prec@1 39.453 (44.051) Prec@5 64.453 (69.490)
Epoch: [11][1100/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.4712 (2.5151) Prec@1 43.750 (44.045) Prec@5 73.828 (69.501)
Epoch: [11][1110/5005] Time 0.607 (0.617) Data 0.000 (0.004) Loss 2.4276 (2.5148) Prec@1 48.828 (44.065) Prec@5 70.312 (69.501)
Epoch: [11][1120/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.6424 (2.5147) Prec@1 39.844 (44.072) Prec@5 67.188 (69.497)
Epoch: [11][1130/5005] Time 0.607 (0.617) Data 0.001 (0.004) Loss 2.5241 (2.5152) Prec@1 41.797 (44.056) Prec@5 70.703 (69.500)
Epoch: [11][1140/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 2.4102 (2.5154) Prec@1 44.141 (44.053) Prec@5 72.656 (69.499)
Epoch: [11][1150/5005] Time 0.622 (0.617) Data 0.000 (0.004) Loss 2.3734 (2.5150) Prec@1 45.703 (44.045) Prec@5 73.047 (69.504)
Epoch: [11][1160/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.4797 (2.5146) Prec@1 47.656 (44.047) Prec@5 70.312 (69.504)
Epoch: [11][1170/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.5139 (2.5145) Prec@1 39.844 (44.053) Prec@5 70.312 (69.509)
Epoch: [11][1180/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5545 (2.5150) Prec@1 43.750 (44.050) Prec@5 69.922 (69.503)
Epoch: [11][1190/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 2.4924 (2.5149) Prec@1 42.578 (44.047) Prec@5 69.531 (69.504)
Epoch: [11][1200/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 2.3596 (2.5146) Prec@1 49.609 (44.051) Prec@5 74.609 (69.509)
Epoch: [11][1210/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.6086 (2.5151) Prec@1 44.922 (44.041) Prec@5 70.312 (69.511)
Epoch: [11][1220/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.4044 (2.5151) Prec@1 46.484 (44.046) Prec@5 69.531 (69.501)
Epoch: [11][1230/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.4080 (2.5151) Prec@1 44.531 (44.046) Prec@5 68.750 (69.505)
Epoch: [11][1240/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.5432 (2.5151) Prec@1 41.797 (44.038) Prec@5 68.359 (69.502)
Epoch: [11][1250/5005] Time 0.621 (0.617) Data 0.000 (0.004) Loss 2.5156 (2.5158) Prec@1 40.234 (44.017) Prec@5 69.531 (69.489)
Epoch: [11][1260/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 2.6351 (2.5161) Prec@1 44.141 (44.011) Prec@5 64.453 (69.479)
Epoch: [11][1270/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 2.6870 (2.5159) Prec@1 40.625 (44.011) Prec@5 68.359 (69.480)
Epoch: [11][1280/5005] Time 0.618 (0.617) Data 0.000 (0.004) Loss 2.5529 (2.5160) Prec@1 43.359 (44.005) Prec@5 66.406 (69.472)
Epoch: [11][1290/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.3576 (2.5159) Prec@1 44.922 (44.001) Prec@5 70.703 (69.470)
Epoch: [11][1300/5005] Time 0.616 (0.617) Data 0.001 (0.004) Loss 2.6230 (2.5161) Prec@1 41.016 (43.999) Prec@5 69.141 (69.471)
Epoch: [11][1310/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.5645 (2.5162) Prec@1 41.016 (44.003) Prec@5 70.703 (69.467)
Epoch: [11][1320/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.7850 (2.5167) Prec@1 45.703 (44.004) Prec@5 66.797 (69.459)
Epoch: [11][1330/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 2.6776 (2.5167) Prec@1 41.797 (44.008) Prec@5 69.531 (69.470)
Epoch: [11][1340/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.2597 (2.5167) Prec@1 49.609 (44.012) Prec@5 73.047 (69.470)
Epoch: [11][1350/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.7105 (2.5168) Prec@1 37.109 (44.002) Prec@5 65.625 (69.467)
Epoch: [11][1360/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5301 (2.5170) Prec@1 42.188 (43.984) Prec@5 70.312 (69.463)
Epoch: [11][1370/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 2.4428 (2.5168) Prec@1 46.094 (43.991) Prec@5 72.656 (69.473)
Epoch: [11][1380/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.3426 (2.5162) Prec@1 42.578 (43.997) Prec@5 73.047 (69.477)
Epoch: [11][1390/5005] Time 0.614 (0.616) Data 0.000 (0.004) Loss 2.5230 (2.5157) Prec@1 47.266 (44.007) Prec@5 70.703 (69.486)
Epoch: [11][1400/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.5666 (2.5159) Prec@1 45.703 (43.995) Prec@5 68.359 (69.483)
Epoch: [11][1410/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.5632 (2.5157) Prec@1 42.969 (43.996) Prec@5 71.875 (69.491)
Epoch: [11][1420/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.6271 (2.5160) Prec@1 43.750 (43.987) Prec@5 66.406 (69.481)
Epoch: [11][1430/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6490 (2.5156) Prec@1 38.672 (43.992) Prec@5 69.531 (69.489)
Epoch: [11][1440/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.7842 (2.5161) Prec@1 43.359 (43.990) Prec@5 64.844 (69.476)
Epoch: [11][1450/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.5982 (2.5163) Prec@1 44.141 (43.996) Prec@5 69.141 (69.475)
Epoch: [11][1460/5005] Time 0.609 (0.616) Data 0.001 (0.003) Loss 2.5379 (2.5162) Prec@1 44.141 (44.002) Prec@5 68.359 (69.474)
Epoch: [11][1470/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.4856 (2.5157) Prec@1 47.656 (44.013) Prec@5 69.531 (69.478)
Epoch: [11][1480/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6827 (2.5162) Prec@1 43.359 (44.009) Prec@5 66.406 (69.462)
Epoch: [11][1490/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.7517 (2.5167) Prec@1 40.625 (43.999) Prec@5 66.797 (69.464)
Epoch: [11][1500/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.3240 (2.5171) Prec@1 45.703 (44.000) Prec@5 69.141 (69.457)
Epoch: [11][1510/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.5044 (2.5175) Prec@1 42.578 (43.996) Prec@5 67.969 (69.451)
Epoch: [11][1520/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.5011 (2.5175) Prec@1 42.578 (43.993) Prec@5 69.922 (69.456)
Epoch: [11][1530/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.2519 (2.5176) Prec@1 46.484 (43.996) Prec@5 75.000 (69.459)
Epoch: [11][1540/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.5724 (2.5172) Prec@1 44.531 (44.009) Prec@5 67.188 (69.466)
Epoch: [11][1550/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.6554 (2.5169) Prec@1 41.406 (44.008) Prec@5 64.453 (69.478)
Epoch: [11][1560/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.5351 (2.5173) Prec@1 43.750 (44.008) Prec@5 67.578 (69.468)
Epoch: [11][1570/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.5535 (2.5173) Prec@1 47.656 (44.002) Prec@5 67.188 (69.469)
Epoch: [11][1580/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.5761 (2.5175) Prec@1 44.922 (43.992) Prec@5 66.797 (69.459)
Epoch: [11][1590/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.6998 (2.5176) Prec@1 42.188 (43.983) Prec@5 66.016 (69.456)
Epoch: [11][1600/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.4403 (2.5178) Prec@1 44.141 (43.979) Prec@5 70.312 (69.458)
Epoch: [11][1610/5005] Time 0.618 (0.616) Data 0.001 (0.003) Loss 2.4946 (2.5175) Prec@1 46.094 (43.979) Prec@5 69.141 (69.463)
Epoch: [11][1620/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.3954 (2.5171) Prec@1 46.875 (43.985) Prec@5 71.484 (69.474)
Epoch: [11][1630/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.6321 (2.5167) Prec@1 46.484 (43.991) Prec@5 67.188 (69.479)
Epoch: [11][1640/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.8177 (2.5169) Prec@1 42.188 (43.990) Prec@5 62.500 (69.481)
Epoch: [11][1650/5005] Time 0.611 (0.616) Data 0.001 (0.003) Loss 2.3761 (2.5166) Prec@1 47.656 (44.002) Prec@5 71.875 (69.487)
Epoch: [11][1660/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.1835 (2.5165) Prec@1 52.344 (43.999) Prec@5 74.609 (69.486)
Epoch: [11][1670/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.4305 (2.5168) Prec@1 46.484 (43.997) Prec@5 69.531 (69.482)
Epoch: [11][1680/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.8242 (2.5170) Prec@1 36.328 (43.996) Prec@5 62.500 (69.476)
Epoch: [11][1690/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.6236 (2.5170) Prec@1 45.312 (43.993) Prec@5 67.969 (69.478)
Epoch: [11][1700/5005] Time 0.614 (0.616) Data 0.001 (0.003) Loss 2.3735 (2.5167) Prec@1 48.047 (44.001) Prec@5 70.703 (69.482)
Epoch: [11][1710/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.4673 (2.5170) Prec@1 42.578 (43.999) Prec@5 67.578 (69.476)
Epoch: [11][1720/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.4145 (2.5171) Prec@1 45.312 (44.008) Prec@5 73.828 (69.479)
Epoch: [11][1730/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.5211 (2.5169) Prec@1 42.188 (44.012) Prec@5 69.531 (69.483)
Epoch: [11][1740/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.3203 (2.5170) Prec@1 45.703 (44.015) Prec@5 73.438 (69.487)
Epoch: [11][1750/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.6646 (2.5168) Prec@1 38.672 (44.020) Prec@5 64.453 (69.491)
Epoch: [11][1760/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.5913 (2.5161) Prec@1 44.531 (44.035) Prec@5 70.703 (69.502)
Epoch: [11][1770/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 2.3599 (2.5154) Prec@1 43.750 (44.044) Prec@5 74.609 (69.515)
Epoch: [11][1780/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.5245 (2.5153) Prec@1 40.234 (44.048) Prec@5 68.750 (69.520)
Epoch: [11][1790/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.4052 (2.5154) Prec@1 45.312 (44.052) Prec@5 71.484 (69.516)
Epoch: [11][1800/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.4160 (2.5156) Prec@1 47.266 (44.052) Prec@5 70.312 (69.512)
Epoch: [11][1810/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.4372 (2.5154) Prec@1 45.703 (44.059) Prec@5 71.875 (69.516)
Epoch: [11][1820/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.3764 (2.5152) Prec@1 45.312 (44.066) Prec@5 73.438 (69.516)
Epoch: [11][1830/5005] Time 0.594 (0.616) Data 0.000 (0.003) Loss 2.3649 (2.5153) Prec@1 44.141 (44.063) Prec@5 72.266 (69.512)
Epoch: [11][1840/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.3772 (2.5153) Prec@1 45.312 (44.059) Prec@5 68.750 (69.512)
Epoch: [11][1850/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.7326 (2.5155) Prec@1 37.500 (44.055) Prec@5 67.969 (69.506)
Epoch: [11][1860/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.7153 (2.5156) Prec@1 45.703 (44.056) Prec@5 64.062 (69.506)
Epoch: [11][1870/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.7028 (2.5159) Prec@1 40.234 (44.045) Prec@5 66.406 (69.499)
Epoch: [11][1880/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.2901 (2.5160) Prec@1 45.312 (44.040) Prec@5 73.047 (69.498)
Epoch: [11][1890/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.5904 (2.5165) Prec@1 39.453 (44.029) Prec@5 70.312 (69.491)
Epoch: [11][1900/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6375 (2.5170) Prec@1 44.531 (44.020) Prec@5 70.703 (69.483)
Epoch: [11][1910/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.5940 (2.5171) Prec@1 43.359 (44.023) Prec@5 69.531 (69.480)
Epoch: [11][1920/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.5356 (2.5173) Prec@1 41.797 (44.018) Prec@5 67.578 (69.475)
Epoch: [11][1930/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.4843 (2.5174) Prec@1 46.094 (44.014) Prec@5 70.312 (69.469)
Epoch: [11][1940/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.4921 (2.5175) Prec@1 45.312 (44.014) Prec@5 69.531 (69.470)
Epoch: [11][1950/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.5086 (2.5174) Prec@1 45.312 (44.018) Prec@5 68.750 (69.473)
Epoch: [11][1960/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.3945 (2.5171) Prec@1 45.703 (44.017) Prec@5 71.484 (69.481)
Epoch: [11][1970/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 2.5460 (2.5169) Prec@1 41.406 (44.022) Prec@5 68.359 (69.482)
Epoch: [11][1980/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.5575 (2.5170) Prec@1 43.359 (44.019) Prec@5 69.922 (69.483)
Epoch: [11][1990/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.4468 (2.5169) Prec@1 43.750 (44.018) Prec@5 73.438 (69.482)
Epoch: [11][2000/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.4976 (2.5170) Prec@1 46.875 (44.022) Prec@5 69.922 (69.485)
Epoch: [11][2010/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.4883 (2.5170) Prec@1 40.625 (44.019) Prec@5 71.484 (69.483)
Epoch: [11][2020/5005] Time 0.620 (0.615) Data 0.000 (0.003) Loss 2.5912 (2.5168) Prec@1 46.094 (44.027) Prec@5 72.266 (69.487)
Epoch: [11][2030/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.8376 (2.5169) Prec@1 40.625 (44.030) Prec@5 64.062 (69.486)
Epoch: [11][2040/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.4922 (2.5167) Prec@1 42.969 (44.031) Prec@5 71.484 (69.486)
Epoch: [11][2050/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.2308 (2.5162) Prec@1 51.953 (44.039) Prec@5 72.656 (69.494)
Epoch: [11][2060/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.3607 (2.5152) Prec@1 44.531 (44.054) Prec@5 71.875 (69.513)
Epoch: [11][2070/5005] Time 0.603 (0.615) Data 0.000 (0.003) Loss 2.5179 (2.5152) Prec@1 45.703 (44.051) Prec@5 69.141 (69.518)
Epoch: [11][2080/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.4777 (2.5151) Prec@1 40.234 (44.050) Prec@5 71.484 (69.520)
Epoch: [11][2090/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5106 (2.5153) Prec@1 43.359 (44.045) Prec@5 67.578 (69.512)
Epoch: [11][2100/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5978 (2.5154) Prec@1 40.234 (44.040) Prec@5 69.531 (69.514)
Epoch: [11][2110/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7875 (2.5155) Prec@1 36.719 (44.032) Prec@5 65.625 (69.510)
Epoch: [11][2120/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6235 (2.5152) Prec@1 44.141 (44.038) Prec@5 68.750 (69.515)
Epoch: [11][2130/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.5996 (2.5145) Prec@1 41.797 (44.053) Prec@5 71.484 (69.528)
Epoch: [11][2140/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3796 (2.5147) Prec@1 46.484 (44.055) Prec@5 71.094 (69.526)
Epoch: [11][2150/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7047 (2.5147) Prec@1 42.578 (44.052) Prec@5 66.406 (69.526)
Epoch: [11][2160/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4553 (2.5147) Prec@1 42.969 (44.050) Prec@5 70.703 (69.524)
Epoch: [11][2170/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4605 (2.5142) Prec@1 48.438 (44.060) Prec@5 71.484 (69.532)
Epoch: [11][2180/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6763 (2.5137) Prec@1 42.188 (44.066) Prec@5 67.969 (69.542)
Epoch: [11][2190/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6174 (2.5136) Prec@1 43.750 (44.064) Prec@5 70.312 (69.548)
Epoch: [11][2200/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.2512 (2.5134) Prec@1 48.438 (44.062) Prec@5 73.828 (69.549)
Epoch: [11][2210/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.2851 (2.5132) Prec@1 44.141 (44.067) Prec@5 76.172 (69.554)
Epoch: [11][2220/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4932 (2.5131) Prec@1 46.875 (44.070) Prec@5 69.922 (69.552)
Epoch: [11][2230/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.7299 (2.5131) Prec@1 37.891 (44.067) Prec@5 66.797 (69.552)
Epoch: [11][2240/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3924 (2.5132) Prec@1 42.578 (44.063) Prec@5 72.656 (69.552)
Epoch: [11][2250/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5444 (2.5132) Prec@1 44.531 (44.063) Prec@5 68.750 (69.550)
Epoch: [11][2260/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5159 (2.5131) Prec@1 42.578 (44.066) Prec@5 70.312 (69.556)
Epoch: [11][2270/5005] Time 0.602 (0.615) Data 0.000 (0.002) Loss 2.5020 (2.5129) Prec@1 42.578 (44.065) Prec@5 71.875 (69.560)
Epoch: [11][2280/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.4417 (2.5131) Prec@1 47.656 (44.062) Prec@5 71.875 (69.554)
Epoch: [11][2290/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6594 (2.5129) Prec@1 40.234 (44.063) Prec@5 66.797 (69.561)
Epoch: [11][2300/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.8457 (2.5132) Prec@1 40.625 (44.057) Prec@5 65.234 (69.560)
Epoch: [11][2310/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6364 (2.5129) Prec@1 43.359 (44.068) Prec@5 68.750 (69.564)
Epoch: [11][2320/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.7488 (2.5130) Prec@1 39.453 (44.067) Prec@5 64.453 (69.563)
Epoch: [11][2330/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.3596 (2.5130) Prec@1 43.359 (44.068) Prec@5 73.047 (69.562)
Epoch: [11][2340/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.3401 (2.5129) Prec@1 44.531 (44.069) Prec@5 72.266 (69.560)
Epoch: [11][2350/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.4566 (2.5130) Prec@1 41.406 (44.065) Prec@5 71.484 (69.559)
Epoch: [11][2360/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4255 (2.5131) Prec@1 45.703 (44.062) Prec@5 69.531 (69.560)
Epoch: [11][2370/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3727 (2.5125) Prec@1 48.047 (44.071) Prec@5 69.531 (69.568)
Epoch: [11][2380/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.6689 (2.5125) Prec@1 42.578 (44.073) Prec@5 68.750 (69.571)
Epoch: [11][2390/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3870 (2.5124) Prec@1 44.531 (44.073) Prec@5 71.484 (69.575)
Epoch: [11][2400/5005] Time 0.621 (0.615) Data 0.001 (0.002) Loss 2.8064 (2.5124) Prec@1 38.281 (44.074) Prec@5 65.234 (69.576)
Epoch: [11][2410/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5774 (2.5121) Prec@1 43.750 (44.077) Prec@5 67.969 (69.579)
Epoch: [11][2420/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.2305 (2.5119) Prec@1 50.781 (44.080) Prec@5 74.219 (69.585)
Epoch: [11][2430/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5422 (2.5120) Prec@1 40.625 (44.077) Prec@5 68.359 (69.583)
Epoch: [11][2440/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5037 (2.5119) Prec@1 46.484 (44.080) Prec@5 68.750 (69.584)
Epoch: [11][2450/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4551 (2.5115) Prec@1 46.875 (44.089) Prec@5 70.312 (69.592)
Epoch: [11][2460/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5775 (2.5119) Prec@1 41.797 (44.081) Prec@5 68.750 (69.586)
Epoch: [11][2470/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6285 (2.5119) Prec@1 38.281 (44.081) Prec@5 67.188 (69.587)
Epoch: [11][2480/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.5541 (2.5116) Prec@1 43.359 (44.084) Prec@5 70.312 (69.591)
Epoch: [11][2490/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7469 (2.5120) Prec@1 36.719 (44.078) Prec@5 65.625 (69.585)
Epoch: [11][2500/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4248 (2.5118) Prec@1 42.578 (44.083) Prec@5 71.875 (69.592)
Epoch: [11][2510/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.4232 (2.5121) Prec@1 46.875 (44.079) Prec@5 70.703 (69.592)
Epoch: [11][2520/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6300 (2.5118) Prec@1 41.406 (44.086) Prec@5 69.531 (69.597)
Epoch: [11][2530/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4101 (2.5116) Prec@1 43.359 (44.088) Prec@5 71.484 (69.601)
Epoch: [11][2540/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6778 (2.5116) Prec@1 42.188 (44.087) Prec@5 67.188 (69.603)
Epoch: [11][2550/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.4881 (2.5116) Prec@1 44.531 (44.087) Prec@5 72.266 (69.603)
Epoch: [11][2560/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6345 (2.5115) Prec@1 41.016 (44.081) Prec@5 69.922 (69.608)
Epoch: [11][2570/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.6646 (2.5117) Prec@1 44.922 (44.080) Prec@5 66.406 (69.605)
Epoch: [11][2580/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.5743 (2.5115) Prec@1 43.359 (44.081) Prec@5 69.922 (69.611)
Epoch: [11][2590/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6916 (2.5116) Prec@1 46.484 (44.079) Prec@5 67.188 (69.610)
Epoch: [11][2600/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3261 (2.5116) Prec@1 46.484 (44.078) Prec@5 72.656 (69.610)
Epoch: [11][2610/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5195 (2.5114) Prec@1 44.141 (44.080) Prec@5 69.922 (69.609)
Epoch: [11][2620/5005] Time 0.599 (0.615) Data 0.000 (0.002) Loss 2.3384 (2.5111) Prec@1 44.922 (44.083) Prec@5 74.609 (69.612)
Epoch: [11][2630/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4463 (2.5113) Prec@1 46.094 (44.079) Prec@5 69.531 (69.608)
Epoch: [11][2640/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5551 (2.5114) Prec@1 43.750 (44.079) Prec@5 71.094 (69.609)
Epoch: [11][2650/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.2747 (2.5113) Prec@1 50.391 (44.078) Prec@5 73.047 (69.613)
Epoch: [11][2660/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.3923 (2.5114) Prec@1 48.438 (44.076) Prec@5 70.312 (69.616)
Epoch: [11][2670/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.5542 (2.5114) Prec@1 44.922 (44.081) Prec@5 68.359 (69.616)
Epoch: [11][2680/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.5137 (2.5113) Prec@1 42.969 (44.080) Prec@5 69.922 (69.618)
Epoch: [11][2690/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.5324 (2.5117) Prec@1 42.969 (44.075) Prec@5 66.797 (69.613)
Epoch: [11][2700/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.3781 (2.5115) Prec@1 45.312 (44.078) Prec@5 73.047 (69.618)
Epoch: [11][2710/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5913 (2.5115) Prec@1 46.484 (44.079) Prec@5 67.578 (69.619)
Epoch: [11][2720/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4073 (2.5113) Prec@1 48.828 (44.082) Prec@5 73.828 (69.623)
Epoch: [11][2730/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.6725 (2.5111) Prec@1 37.891 (44.084) Prec@5 69.141 (69.629)
Epoch: [11][2740/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7402 (2.5112) Prec@1 41.406 (44.082) Prec@5 59.766 (69.623)
Epoch: [11][2750/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6809 (2.5111) Prec@1 45.312 (44.086) Prec@5 69.141 (69.627)
Epoch: [11][2760/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2676 (2.5111) Prec@1 44.141 (44.085) Prec@5 76.562 (69.629)
Epoch: [11][2770/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4350 (2.5110) Prec@1 46.484 (44.092) Prec@5 68.359 (69.628)
Epoch: [11][2780/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.3154 (2.5109) Prec@1 48.828 (44.094) Prec@5 73.047 (69.630)
Epoch: [11][2790/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.5239 (2.5111) Prec@1 46.484 (44.092) Prec@5 68.750 (69.630)
Epoch: [11][2800/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5522 (2.5109) Prec@1 42.969 (44.097) Prec@5 69.531 (69.634)
Epoch: [11][2810/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4119 (2.5110) Prec@1 44.922 (44.097) Prec@5 72.266 (69.637)
Epoch: [11][2820/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.8046 (2.5112) Prec@1 38.281 (44.093) Prec@5 66.016 (69.636)
Epoch: [11][2830/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5238 (2.5115) Prec@1 44.922 (44.093) Prec@5 68.359 (69.630)
Epoch: [11][2840/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3069 (2.5113) Prec@1 45.312 (44.093) Prec@5 72.656 (69.633)
Epoch: [11][2850/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.5801 (2.5115) Prec@1 41.406 (44.088) Prec@5 67.578 (69.628)
Epoch: [11][2860/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4544 (2.5115) Prec@1 44.922 (44.085) Prec@5 72.266 (69.626)
Epoch: [11][2870/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.4639 (2.5115) Prec@1 43.750 (44.086) Prec@5 72.266 (69.627)
Epoch: [11][2880/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.5268 (2.5112) Prec@1 43.750 (44.092) Prec@5 67.969 (69.629)
Epoch: [11][2890/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.5754 (2.5113) Prec@1 46.484 (44.095) Prec@5 69.531 (69.626)
Epoch: [11][2900/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.6202 (2.5115) Prec@1 46.875 (44.090) Prec@5 67.969 (69.624)
Epoch: [11][2910/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5690 (2.5116) Prec@1 42.578 (44.092) Prec@5 69.141 (69.622)
Epoch: [11][2920/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.5839 (2.5114) Prec@1 40.625 (44.092) Prec@5 69.922 (69.625)
Epoch: [11][2930/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.3307 (2.5112) Prec@1 43.750 (44.094) Prec@5 71.484 (69.624)
Epoch: [11][2940/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.6809 (2.5114) Prec@1 41.406 (44.090) Prec@5 68.359 (69.623)
Epoch: [11][2950/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3710 (2.5114) Prec@1 46.094 (44.089) Prec@5 69.531 (69.622)
Epoch: [11][2960/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3104 (2.5115) Prec@1 44.531 (44.089) Prec@5 73.828 (69.622)
Epoch: [11][2970/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.6729 (2.5114) Prec@1 42.188 (44.094) Prec@5 66.406 (69.622)
Epoch: [11][2980/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6248 (2.5113) Prec@1 44.531 (44.097) Prec@5 66.016 (69.622)
Epoch: [11][2990/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5590 (2.5115) Prec@1 44.141 (44.093) Prec@5 72.266 (69.620)
Epoch: [11][3000/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6488 (2.5116) Prec@1 41.797 (44.094) Prec@5 66.797 (69.616)
Epoch: [11][3010/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.6095 (2.5115) Prec@1 41.016 (44.093) Prec@5 68.359 (69.616)
Epoch: [11][3020/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.4703 (2.5115) Prec@1 44.531 (44.093) Prec@5 71.094 (69.616)
Epoch: [11][3030/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.4672 (2.5114) Prec@1 43.750 (44.095) Prec@5 68.750 (69.614)
Epoch: [11][3040/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.3456 (2.5111) Prec@1 49.609 (44.098) Prec@5 69.922 (69.614)
Epoch: [11][3050/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.3787 (2.5108) Prec@1 44.922 (44.103) Prec@5 69.922 (69.622)
Epoch: [11][3060/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.1335 (2.5104) Prec@1 46.094 (44.109) Prec@5 78.906 (69.630)
Epoch: [11][3070/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6876 (2.5103) Prec@1 42.188 (44.112) Prec@5 65.625 (69.632)
Epoch: [11][3080/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.4944 (2.5100) Prec@1 42.188 (44.109) Prec@5 68.750 (69.636)
Epoch: [11][3090/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.4184 (2.5099) Prec@1 45.312 (44.112) Prec@5 71.484 (69.637)
Epoch: [11][3100/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5204 (2.5099) Prec@1 43.750 (44.113) Prec@5 69.531 (69.636)
Epoch: [11][3110/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4854 (2.5098) Prec@1 45.703 (44.118) Prec@5 71.875 (69.639)
Epoch: [11][3120/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5672 (2.5099) Prec@1 43.359 (44.117) Prec@5 69.531 (69.640)
Epoch: [11][3130/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.4479 (2.5098) Prec@1 42.969 (44.121) Prec@5 71.484 (69.638)
Epoch: [11][3140/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5052 (2.5097) Prec@1 45.312 (44.123) Prec@5 71.484 (69.641)
Epoch: [11][3150/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.6178 (2.5098) Prec@1 44.531 (44.121) Prec@5 67.578 (69.638)
Epoch: [11][3160/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.0896 (2.5099) Prec@1 51.172 (44.119) Prec@5 79.688 (69.640)
Epoch: [11][3170/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5372 (2.5100) Prec@1 41.406 (44.120) Prec@5 72.266 (69.638)
Epoch: [11][3180/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5089 (2.5100) Prec@1 44.531 (44.118) Prec@5 66.016 (69.639)
Epoch: [11][3190/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4117 (2.5098) Prec@1 43.750 (44.125) Prec@5 71.484 (69.641)
Epoch: [11][3200/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6093 (2.5101) Prec@1 41.406 (44.119) Prec@5 67.188 (69.633)
Epoch: [11][3210/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4662 (2.5098) Prec@1 46.094 (44.126) Prec@5 67.969 (69.639)
Epoch: [11][3220/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3660 (2.5097) Prec@1 51.172 (44.129) Prec@5 69.922 (69.639)
Epoch: [11][3230/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.6817 (2.5095) Prec@1 43.359 (44.133) Prec@5 67.578 (69.645)
Epoch: [11][3240/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6672 (2.5094) Prec@1 39.844 (44.137) Prec@5 66.797 (69.647)
Epoch: [11][3250/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.3460 (2.5095) Prec@1 46.875 (44.136) Prec@5 72.266 (69.643)
Epoch: [11][3260/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5240 (2.5094) Prec@1 40.625 (44.136) Prec@5 66.797 (69.644)
Epoch: [11][3270/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.5672 (2.5097) Prec@1 46.484 (44.132) Prec@5 66.797 (69.639)
Epoch: [11][3280/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5619 (2.5098) Prec@1 37.891 (44.130) Prec@5 69.922 (69.638)
Epoch: [11][3290/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6698 (2.5099) Prec@1 46.094 (44.129) Prec@5 67.578 (69.636)
Epoch: [11][3300/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6634 (2.5098) Prec@1 42.188 (44.129) Prec@5 67.578 (69.638)
Epoch: [11][3310/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.7424 (2.5099) Prec@1 37.500 (44.125) Prec@5 65.625 (69.636)
Epoch: [11][3320/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4924 (2.5101) Prec@1 48.047 (44.123) Prec@5 70.312 (69.635)
Epoch: [11][3330/5005] Time 0.604 (0.615) Data 0.001 (0.002) Loss 2.4615 (2.5100) Prec@1 46.484 (44.124) Prec@5 69.141 (69.633)
Epoch: [11][3340/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.4376 (2.5100) Prec@1 46.484 (44.127) Prec@5 69.141 (69.633)
Epoch: [11][3350/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4855 (2.5099) Prec@1 42.578 (44.127) Prec@5 69.141 (69.634)
Epoch: [11][3360/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6515 (2.5100) Prec@1 41.406 (44.127) Prec@5 67.969 (69.629)
Epoch: [11][3370/5005] Time 0.601 (0.615) Data 0.000 (0.002) Loss 2.3771 (2.5097) Prec@1 46.094 (44.131) Prec@5 73.438 (69.638)
Epoch: [11][3380/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6297 (2.5098) Prec@1 39.844 (44.129) Prec@5 64.453 (69.637)
Epoch: [11][3390/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4512 (2.5096) Prec@1 46.094 (44.130) Prec@5 71.875 (69.639)
Epoch: [11][3400/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.8104 (2.5095) Prec@1 38.672 (44.132) Prec@5 65.625 (69.640)
Epoch: [11][3410/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4353 (2.5093) Prec@1 42.578 (44.137) Prec@5 69.531 (69.642)
Epoch: [11][3420/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.5820 (2.5093) Prec@1 39.844 (44.134) Prec@5 69.141 (69.642)
Epoch: [11][3430/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5178 (2.5092) Prec@1 39.453 (44.134) Prec@5 69.141 (69.644)
Epoch: [11][3440/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3678 (2.5092) Prec@1 45.312 (44.131) Prec@5 70.312 (69.645)
Epoch: [11][3450/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2974 (2.5089) Prec@1 44.922 (44.137) Prec@5 71.875 (69.649)
Epoch: [11][3460/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3043 (2.5087) Prec@1 50.000 (44.143) Prec@5 70.703 (69.648)
Epoch: [11][3470/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 2.5769 (2.5085) Prec@1 41.016 (44.144) Prec@5 66.016 (69.652)
Epoch: [11][3480/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2981 (2.5083) Prec@1 44.531 (44.145) Prec@5 76.172 (69.658)
Epoch: [11][3490/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.2584 (2.5082) Prec@1 48.047 (44.146) Prec@5 75.000 (69.660)
Epoch: [11][3500/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5175 (2.5083) Prec@1 40.625 (44.144) Prec@5 71.094 (69.659)
Epoch: [11][3510/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5525 (2.5082) Prec@1 44.531 (44.147) Prec@5 70.312 (69.662)
Epoch: [11][3520/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.5467 (2.5082) Prec@1 41.797 (44.144) Prec@5 67.969 (69.664)
Epoch: [11][3530/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.3965 (2.5081) Prec@1 46.094 (44.145) Prec@5 71.094 (69.663)
Epoch: [11][3540/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.5944 (2.5081) Prec@1 46.094 (44.145) Prec@5 67.969 (69.663)
Epoch: [11][3550/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4276 (2.5080) Prec@1 43.750 (44.146) Prec@5 70.312 (69.666)
Epoch: [11][3560/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.1504 (2.5080) Prec@1 50.000 (44.145) Prec@5 74.609 (69.665)
Epoch: [11][3570/5005] Time 0.615 (0.615) Data 0.001 (0.002) Loss 2.5628 (2.5079) Prec@1 44.141 (44.148) Prec@5 67.578 (69.667)
Epoch: [11][3580/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7069 (2.5079) Prec@1 40.625 (44.149) Prec@5 66.406 (69.667)
Epoch: [11][3590/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4021 (2.5076) Prec@1 44.922 (44.153) Prec@5 72.266 (69.672)
Epoch: [11][3600/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.7388 (2.5079) Prec@1 37.891 (44.150) Prec@5 62.891 (69.665)
Epoch: [11][3610/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.2798 (2.5077) Prec@1 47.266 (44.152) Prec@5 72.656 (69.666)
Epoch: [11][3620/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.2653 (2.5075) Prec@1 44.531 (44.156) Prec@5 74.609 (69.670)
Epoch: [11][3630/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5338 (2.5072) Prec@1 43.750 (44.161) Prec@5 68.750 (69.676)
Epoch: [11][3640/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6167 (2.5073) Prec@1 42.969 (44.161) Prec@5 68.750 (69.676)
Epoch: [11][3650/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.6439 (2.5073) Prec@1 42.969 (44.161) Prec@5 69.141 (69.676)
Epoch: [11][3660/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.5382 (2.5072) Prec@1 44.531 (44.163) Prec@5 72.266 (69.681)
Epoch: [11][3670/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.4584 (2.5073) Prec@1 46.094 (44.158) Prec@5 71.875 (69.681)
Epoch: [11][3680/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3859 (2.5074) Prec@1 44.141 (44.157) Prec@5 71.875 (69.680)
Epoch: [11][3690/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5428 (2.5074) Prec@1 42.578 (44.156) Prec@5 68.750 (69.680)
Epoch: [11][3700/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6483 (2.5074) Prec@1 41.406 (44.157) Prec@5 67.578 (69.680)
Epoch: [11][3710/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.6184 (2.5077) Prec@1 41.016 (44.151) Prec@5 69.922 (69.675)
Epoch: [11][3720/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.5467 (2.5077) Prec@1 45.703 (44.152) Prec@5 69.141 (69.676)
Epoch: [11][3730/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4650 (2.5075) Prec@1 46.094 (44.159) Prec@5 71.094 (69.679)
Epoch: [11][3740/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5481 (2.5073) Prec@1 42.578 (44.163) Prec@5 69.141 (69.680)
Epoch: [11][3750/5005] Time 0.624 (0.614) Data 0.000 (0.002) Loss 2.5054 (2.5074) Prec@1 45.312 (44.164) Prec@5 67.578 (69.679)
Epoch: [11][3760/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.3322 (2.5072) Prec@1 50.391 (44.168) Prec@5 73.438 (69.683)
Epoch: [11][3770/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.4565 (2.5073) Prec@1 45.703 (44.165) Prec@5 69.141 (69.680)
Epoch: [11][3780/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.4040 (2.5072) Prec@1 42.188 (44.166) Prec@5 75.000 (69.681)
Epoch: [11][3790/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3926 (2.5071) Prec@1 47.656 (44.168) Prec@5 69.922 (69.683)
Epoch: [11][3800/5005] Time 0.610 (0.614) Data 0.001 (0.002) Loss 2.5957 (2.5069) Prec@1 44.531 (44.169) Prec@5 67.969 (69.686)
Epoch: [11][3810/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.8209 (2.5072) Prec@1 36.328 (44.165) Prec@5 62.500 (69.683)
Epoch: [11][3820/5005] Time 0.622 (0.614) Data 0.001 (0.002) Loss 2.6305 (2.5071) Prec@1 41.406 (44.167) Prec@5 65.234 (69.684)
Epoch: [11][3830/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.5528 (2.5070) Prec@1 42.969 (44.170) Prec@5 71.875 (69.686)
Epoch: [11][3840/5005] Time 0.607 (0.614) Data 0.001 (0.002) Loss 2.4897 (2.5069) Prec@1 47.266 (44.172) Prec@5 68.359 (69.686)
Epoch: [11][3850/5005] Time 0.621 (0.614) Data 0.001 (0.002) Loss 2.6412 (2.5069) Prec@1 43.750 (44.173) Prec@5 67.578 (69.688)
Epoch: [11][3860/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6265 (2.5068) Prec@1 42.969 (44.172) Prec@5 69.141 (69.690)
Epoch: [11][3870/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.3272 (2.5068) Prec@1 47.266 (44.175) Prec@5 72.266 (69.691)
Epoch: [11][3880/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.5616 (2.5067) Prec@1 37.109 (44.176) Prec@5 68.750 (69.692)
Epoch: [11][3890/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.3515 (2.5068) Prec@1 46.484 (44.177) Prec@5 67.578 (69.690)
Epoch: [11][3900/5005] Time 0.608 (0.614) Data 0.001 (0.002) Loss 2.6612 (2.5068) Prec@1 41.797 (44.176) Prec@5 66.016 (69.690)
Epoch: [11][3910/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.2565 (2.5068) Prec@1 47.266 (44.176) Prec@5 75.781 (69.690)
Epoch: [11][3920/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.4393 (2.5068) Prec@1 48.828 (44.181) Prec@5 70.312 (69.690)
Epoch: [11][3930/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.4959 (2.5067) Prec@1 44.141 (44.181) Prec@5 69.531 (69.691)
Epoch: [11][3940/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.6100 (2.5067) Prec@1 39.453 (44.182) Prec@5 69.531 (69.690)
Epoch: [11][3950/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.4496 (2.5065) Prec@1 45.312 (44.188) Prec@5 70.703 (69.692)
Epoch: [11][3960/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.4305 (2.5063) Prec@1 43.750 (44.191) Prec@5 69.531 (69.694)
Epoch: [11][3970/5005] Time 0.610 (0.614) Data 0.001 (0.002) Loss 2.4156 (2.5061) Prec@1 43.359 (44.194) Prec@5 70.312 (69.699)
Epoch: [11][3980/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.6210 (2.5063) Prec@1 44.922 (44.195) Prec@5 66.797 (69.696)
Epoch: [11][3990/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.4888 (2.5061) Prec@1 44.141 (44.196) Prec@5 67.578 (69.700)
Epoch: [11][4000/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.4400 (2.5061) Prec@1 42.969 (44.195) Prec@5 70.703 (69.697)
Epoch: [11][4010/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.6147 (2.5061) Prec@1 44.531 (44.194) Prec@5 65.625 (69.697)
Epoch: [11][4020/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.6765 (2.5062) Prec@1 40.625 (44.192) Prec@5 66.406 (69.696)
Epoch: [11][4030/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4165 (2.5062) Prec@1 48.828 (44.192) Prec@5 69.922 (69.698)
Epoch: [11][4040/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4873 (2.5063) Prec@1 46.094 (44.192) Prec@5 68.359 (69.695)
Epoch: [11][4050/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3395 (2.5063) Prec@1 46.094 (44.190) Prec@5 71.094 (69.694)
Epoch: [11][4060/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.6945 (2.5062) Prec@1 41.406 (44.191) Prec@5 64.453 (69.695)
Epoch: [11][4070/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.2108 (2.5059) Prec@1 50.000 (44.197) Prec@5 73.047 (69.700)
Epoch: [11][4080/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4714 (2.5058) Prec@1 41.406 (44.199) Prec@5 69.922 (69.704)
Epoch: [11][4090/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4141 (2.5056) Prec@1 46.484 (44.203) Prec@5 71.875 (69.706)
Epoch: [11][4100/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.1587 (2.5056) Prec@1 52.734 (44.204) Prec@5 75.391 (69.704)
Epoch: [11][4110/5005] Time 0.618 (0.614) Data 0.001 (0.001) Loss 2.4217 (2.5056) Prec@1 48.828 (44.206) Prec@5 71.484 (69.702)
Epoch: [11][4120/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6625 (2.5057) Prec@1 43.750 (44.207) Prec@5 67.188 (69.701)
Epoch: [11][4130/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5576 (2.5056) Prec@1 45.703 (44.208) Prec@5 69.531 (69.702)
Epoch: [11][4140/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.3899 (2.5055) Prec@1 44.531 (44.210) Prec@5 70.703 (69.705)
Epoch: [11][4150/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.1635 (2.5054) Prec@1 50.391 (44.211) Prec@5 77.734 (69.706)
Epoch: [11][4160/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.1831 (2.5054) Prec@1 49.609 (44.213) Prec@5 75.000 (69.704)
Epoch: [11][4170/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4691 (2.5055) Prec@1 45.703 (44.211) Prec@5 74.609 (69.702)
Epoch: [11][4180/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.8004 (2.5055) Prec@1 37.500 (44.209) Prec@5 67.188 (69.701)
Epoch: [11][4190/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6059 (2.5055) Prec@1 38.672 (44.206) Prec@5 69.531 (69.700)
Epoch: [11][4200/5005] Time 0.623 (0.614) Data 0.000 (0.001) Loss 2.2295 (2.5055) Prec@1 48.828 (44.208) Prec@5 72.656 (69.702)
Epoch: [11][4210/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4419 (2.5053) Prec@1 44.531 (44.212) Prec@5 71.484 (69.706)
Epoch: [11][4220/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6255 (2.5052) Prec@1 42.578 (44.216) Prec@5 70.312 (69.709)
Epoch: [11][4230/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.8483 (2.5052) Prec@1 41.406 (44.218) Prec@5 63.281 (69.708)
Epoch: [11][4240/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5580 (2.5051) Prec@1 39.844 (44.218) Prec@5 69.922 (69.712)
Epoch: [11][4250/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.4801 (2.5050) Prec@1 45.703 (44.217) Prec@5 66.016 (69.713)
Epoch: [11][4260/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.6774 (2.5049) Prec@1 42.578 (44.218) Prec@5 66.797 (69.712)
Epoch: [11][4270/5005] Time 0.607 (0.614) Data 0.001 (0.001) Loss 2.5184 (2.5048) Prec@1 41.797 (44.219) Prec@5 69.922 (69.715)
Epoch: [11][4280/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5897 (2.5048) Prec@1 43.359 (44.220) Prec@5 69.141 (69.717)
Epoch: [11][4290/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4215 (2.5049) Prec@1 46.875 (44.217) Prec@5 70.312 (69.715)
Epoch: [11][4300/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 2.3499 (2.5047) Prec@1 49.219 (44.218) Prec@5 70.312 (69.715)
Epoch: [11][4310/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 2.2988 (2.5046) Prec@1 43.750 (44.218) Prec@5 76.562 (69.720)
Epoch: [11][4320/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.2601 (2.5046) Prec@1 49.609 (44.220) Prec@5 73.438 (69.719)
Epoch: [11][4330/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.5688 (2.5046) Prec@1 42.188 (44.221) Prec@5 68.359 (69.719)
Epoch: [11][4340/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4762 (2.5047) Prec@1 41.797 (44.223) Prec@5 71.094 (69.721)
Epoch: [11][4350/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5820 (2.5047) Prec@1 41.797 (44.223) Prec@5 67.578 (69.720)
Epoch: [11][4360/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.4376 (2.5046) Prec@1 50.781 (44.225) Prec@5 71.484 (69.720)
Epoch: [11][4370/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6422 (2.5045) Prec@1 41.016 (44.227) Prec@5 69.141 (69.722)
Epoch: [11][4380/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.6254 (2.5045) Prec@1 43.359 (44.228) Prec@5 68.750 (69.722)
Epoch: [11][4390/5005] Time 0.611 (0.614) Data 0.001 (0.001) Loss 2.4855 (2.5044) Prec@1 44.922 (44.231) Prec@5 69.141 (69.724)
Epoch: [11][4400/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.5501 (2.5044) Prec@1 42.969 (44.231) Prec@5 71.484 (69.725)
Epoch: [11][4410/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4755 (2.5044) Prec@1 46.875 (44.232) Prec@5 70.312 (69.725)
Epoch: [11][4420/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7992 (2.5044) Prec@1 39.453 (44.233) Prec@5 62.891 (69.724)
Epoch: [11][4430/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4769 (2.5042) Prec@1 45.312 (44.235) Prec@5 71.484 (69.727)
Epoch: [11][4440/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4809 (2.5041) Prec@1 42.969 (44.237) Prec@5 71.484 (69.730)
Epoch: [11][4450/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.3524 (2.5042) Prec@1 45.312 (44.234) Prec@5 72.656 (69.730)
Epoch: [11][4460/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5349 (2.5040) Prec@1 41.016 (44.235) Prec@5 68.750 (69.732)
Epoch: [11][4470/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.5219 (2.5039) Prec@1 46.484 (44.240) Prec@5 70.703 (69.735)
Epoch: [11][4480/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.3404 (2.5040) Prec@1 41.797 (44.237) Prec@5 72.656 (69.732)
Epoch: [11][4490/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.5857 (2.5039) Prec@1 41.797 (44.236) Prec@5 65.234 (69.730)
Epoch: [11][4500/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.3864 (2.5039) Prec@1 49.219 (44.237) Prec@5 74.609 (69.731)
Epoch: [11][4510/5005] Time 0.610 (0.614) Data 0.001 (0.001) Loss 2.4146 (2.5036) Prec@1 43.359 (44.242) Prec@5 69.922 (69.736)
Epoch: [11][4520/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.4849 (2.5036) Prec@1 46.094 (44.243) Prec@5 69.531 (69.736)
Epoch: [11][4530/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.7049 (2.5036) Prec@1 38.672 (44.242) Prec@5 70.312 (69.735)
Epoch: [11][4540/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.3705 (2.5035) Prec@1 45.312 (44.244) Prec@5 71.875 (69.736)
Epoch: [11][4550/5005] Time 0.605 (0.614) Data 0.001 (0.001) Loss 2.6240 (2.5035) Prec@1 40.625 (44.245) Prec@5 66.016 (69.738)
Epoch: [11][4560/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.2819 (2.5034) Prec@1 52.734 (44.247) Prec@5 72.656 (69.738)
Epoch: [11][4570/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6160 (2.5033) Prec@1 38.672 (44.247) Prec@5 67.578 (69.739)
Epoch: [11][4580/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.8632 (2.5033) Prec@1 37.891 (44.247) Prec@5 60.156 (69.739)
Epoch: [11][4590/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.4651 (2.5031) Prec@1 47.656 (44.249) Prec@5 69.922 (69.742)
Epoch: [11][4600/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5571 (2.5030) Prec@1 41.016 (44.249) Prec@5 66.406 (69.744)
Epoch: [11][4610/5005] Time 0.592 (0.614) Data 0.000 (0.001) Loss 2.4068 (2.5031) Prec@1 45.312 (44.248) Prec@5 69.922 (69.740)
Epoch: [11][4620/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3256 (2.5031) Prec@1 48.438 (44.249) Prec@5 71.094 (69.740)
Epoch: [11][4630/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.5834 (2.5030) Prec@1 39.062 (44.250) Prec@5 66.016 (69.742)
Epoch: [11][4640/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.8392 (2.5030) Prec@1 41.406 (44.250) Prec@5 64.844 (69.744)
Epoch: [11][4650/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.7861 (2.5030) Prec@1 38.672 (44.252) Prec@5 66.406 (69.744)
Epoch: [11][4660/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.6530 (2.5032) Prec@1 42.578 (44.250) Prec@5 65.625 (69.741)
Epoch: [11][4670/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.1536 (2.5029) Prec@1 52.734 (44.259) Prec@5 73.047 (69.745)
Epoch: [11][4680/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.1808 (2.5027) Prec@1 50.000 (44.263) Prec@5 71.484 (69.745)
Epoch: [11][4690/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4204 (2.5028) Prec@1 45.703 (44.263) Prec@5 73.438 (69.744)
Epoch: [11][4700/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5516 (2.5027) Prec@1 43.750 (44.267) Prec@5 71.484 (69.745)
Epoch: [11][4710/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.4188 (2.5027) Prec@1 50.781 (44.269) Prec@5 70.703 (69.744)
Epoch: [11][4720/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 2.5176 (2.5026) Prec@1 42.188 (44.271) Prec@5 71.484 (69.748)
Epoch: [11][4730/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.5378 (2.5025) Prec@1 42.578 (44.273) Prec@5 67.969 (69.747)
Epoch: [11][4740/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4737 (2.5026) Prec@1 44.141 (44.271) Prec@5 68.750 (69.745)
Epoch: [11][4750/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3859 (2.5027) Prec@1 47.266 (44.270) Prec@5 71.875 (69.743)
Epoch: [11][4760/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5374 (2.5027) Prec@1 45.703 (44.270) Prec@5 70.312 (69.742)
Epoch: [11][4770/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7130 (2.5027) Prec@1 41.406 (44.271) Prec@5 68.359 (69.743)
Epoch: [11][4780/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.4375 (2.5026) Prec@1 45.312 (44.273) Prec@5 69.531 (69.744)
Epoch: [11][4790/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3323 (2.5025) Prec@1 45.703 (44.277) Prec@5 70.703 (69.746)
Epoch: [11][4800/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.4333 (2.5027) Prec@1 45.312 (44.275) Prec@5 70.312 (69.743)
Epoch: [11][4810/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.4711 (2.5026) Prec@1 45.703 (44.278) Prec@5 69.141 (69.744)
Epoch: [11][4820/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.2915 (2.5025) Prec@1 51.172 (44.282) Prec@5 73.047 (69.746)
Epoch: [11][4830/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6385 (2.5025) Prec@1 42.969 (44.280) Prec@5 68.359 (69.744)
Epoch: [11][4840/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.5856 (2.5024) Prec@1 46.875 (44.284) Prec@5 71.484 (69.746)
Epoch: [11][4850/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.5339 (2.5023) Prec@1 44.141 (44.287) Prec@5 70.703 (69.746)
Epoch: [11][4860/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.3677 (2.5021) Prec@1 44.922 (44.289) Prec@5 73.047 (69.749)
Epoch: [11][4870/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6019 (2.5021) Prec@1 44.531 (44.290) Prec@5 69.922 (69.749)
Epoch: [11][4880/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.5360 (2.5021) Prec@1 42.188 (44.288) Prec@5 71.094 (69.749)
Epoch: [11][4890/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.3007 (2.5020) Prec@1 48.438 (44.289) Prec@5 74.219 (69.749)
Epoch: [11][4900/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.6669 (2.5019) Prec@1 45.703 (44.291) Prec@5 66.797 (69.752)
Epoch: [11][4910/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6235 (2.5018) Prec@1 42.969 (44.292) Prec@5 70.703 (69.756)
Epoch: [11][4920/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.4867 (2.5019) Prec@1 43.359 (44.291) Prec@5 71.094 (69.754)
Epoch: [11][4930/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3006 (2.5018) Prec@1 50.000 (44.295) Prec@5 70.312 (69.754)
Epoch: [11][4940/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6485 (2.5019) Prec@1 43.750 (44.296) Prec@5 68.359 (69.753)
Epoch: [11][4950/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5241 (2.5019) Prec@1 47.266 (44.297) Prec@5 67.188 (69.752)
Epoch: [11][4960/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.6798 (2.5018) Prec@1 42.578 (44.297) Prec@5 70.312 (69.755)
Epoch: [11][4970/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.3263 (2.5017) Prec@1 48.438 (44.298) Prec@5 71.484 (69.756)
Epoch: [11][4980/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.3436 (2.5016) Prec@1 45.312 (44.301) Prec@5 71.094 (69.758)
Epoch: [11][4990/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4634 (2.5017) Prec@1 43.750 (44.302) Prec@5 73.438 (69.758)
Epoch: [11][5000/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3464 (2.5016) Prec@1 47.656 (44.303) Prec@5 69.531 (69.761)
Test: [0/196] Time 5.167 (5.167) Loss 1.2757 (1.2757) Prec@1 67.578 (67.578) Prec@5 86.719 (86.719)
Test: [10/196] Time 0.201 (0.654) Loss 1.6599 (1.4821) Prec@1 56.250 (62.997) Prec@5 86.719 (85.760)
Test: [20/196] Time 0.206 (0.439) Loss 1.4394 (1.4507) Prec@1 69.531 (63.858) Prec@5 84.375 (85.807)
Test: [30/196] Time 0.202 (0.365) Loss 1.7494 (1.4576) Prec@1 47.656 (63.672) Prec@5 82.031 (85.811)
Test: [40/196] Time 0.202 (0.325) Loss 1.5168 (1.5110) Prec@1 59.766 (60.928) Prec@5 89.062 (85.899)
Test: [50/196] Time 0.204 (0.301) Loss 0.9831 (1.4814) Prec@1 73.438 (61.198) Prec@5 94.531 (86.634)
Test: [60/196] Time 0.203 (0.286) Loss 2.0428 (1.4800) Prec@1 48.047 (61.098) Prec@5 80.469 (86.789)
Test: [70/196] Time 0.209 (0.274) Loss 1.3686 (1.4760) Prec@1 66.406 (61.455) Prec@5 85.938 (86.719)
Test: [80/196] Time 0.218 (0.266) Loss 2.5327 (1.5076) Prec@1 40.234 (60.991) Prec@5 71.484 (86.236)
Test: [90/196] Time 0.201 (0.259) Loss 3.2128 (1.6023) Prec@1 33.984 (59.345) Prec@5 61.719 (84.744)
Test: [100/196] Time 0.202 (0.254) Loss 2.8994 (1.6805) Prec@1 33.594 (58.014) Prec@5 62.891 (83.520)
Test: [110/196] Time 0.203 (0.249) Loss 1.6585 (1.7040) Prec@1 62.500 (57.788) Prec@5 79.688 (83.066)
Test: [120/196] Time 0.209 (0.246) Loss 2.7613 (1.7454) Prec@1 41.797 (57.154) Prec@5 65.234 (82.293)
Test: [130/196] Time 0.204 (0.242) Loss 1.8041 (1.7789) Prec@1 58.984 (56.515) Prec@5 80.078 (81.802)
Test: [140/196] Time 0.203 (0.240) Loss 2.1898 (1.8155) Prec@1 50.781 (55.904) Prec@5 76.953 (81.192)
Test: [150/196] Time 0.202 (0.238) Loss 2.2851 (1.8507) Prec@1 54.688 (55.412) Prec@5 73.047 (80.572)
Test: [160/196] Time 0.203 (0.235) Loss 1.7384 (1.8732) Prec@1 59.766 (55.073) Prec@5 83.203 (80.165)
Test: [170/196] Time 0.201 (0.234) Loss 1.3042 (1.8989) Prec@1 60.156 (54.576) Prec@5 89.062 (79.729)
Test: [180/196] Time 0.201 (0.232) Loss 1.7111 (1.9225) Prec@1 53.516 (54.103) Prec@5 85.156 (79.424)
Test: [190/196] Time 0.201 (0.230) Loss 1.8782 (1.9199) Prec@1 51.562 (54.105) Prec@5 83.203 (79.520)
* Prec@1 54.378 Prec@5 79.624
Epoch: [12][0/5005] Time 3.972 (3.972) Data 3.714 (3.714) Loss 2.4269 (2.4269) Prec@1 45.703 (45.703) Prec@5 71.875 (71.875)
Epoch: [12][10/5005] Time 0.604 (0.935) Data 0.000 (0.382) Loss 2.5543 (2.4545) Prec@1 40.234 (44.567) Prec@5 67.578 (70.810)
Epoch: [12][20/5005] Time 0.621 (0.782) Data 0.000 (0.200) Loss 2.4260 (2.4584) Prec@1 44.531 (44.773) Prec@5 71.875 (70.480)
Epoch: [12][30/5005] Time 0.606 (0.727) Data 0.000 (0.136) Loss 2.7511 (2.4697) Prec@1 39.844 (44.783) Prec@5 66.406 (70.123)
Epoch: [12][40/5005] Time 0.613 (0.699) Data 0.000 (0.103) Loss 2.5801 (2.4664) Prec@1 39.062 (44.808) Prec@5 69.141 (70.236)
Epoch: [12][50/5005] Time 0.610 (0.683) Data 0.000 (0.083) Loss 2.5037 (2.4731) Prec@1 44.531 (44.554) Prec@5 68.750 (70.129)
Epoch: [12][60/5005] Time 0.611 (0.671) Data 0.000 (0.069) Loss 2.1543 (2.4463) Prec@1 52.344 (45.031) Prec@5 73.828 (70.370)
Epoch: [12][70/5005] Time 0.622 (0.663) Data 0.000 (0.060) Loss 2.4017 (2.4367) Prec@1 51.172 (45.340) Prec@5 71.484 (70.533)
Epoch: [12][80/5005] Time 0.614 (0.657) Data 0.000 (0.052) Loss 2.4036 (2.4272) Prec@1 49.609 (45.592) Prec@5 70.703 (70.693)
Epoch: [12][90/5005] Time 0.622 (0.652) Data 0.000 (0.047) Loss 2.4844 (2.4348) Prec@1 43.359 (45.446) Prec@5 67.578 (70.544)
Epoch: [12][100/5005] Time 0.617 (0.648) Data 0.000 (0.042) Loss 2.3230 (2.4273) Prec@1 48.047 (45.591) Prec@5 72.656 (70.672)
Epoch: [12][110/5005] Time 0.605 (0.645) Data 0.000 (0.038) Loss 2.5112 (2.4300) Prec@1 45.312 (45.446) Prec@5 70.703 (70.615)
Epoch: [12][120/5005] Time 0.616 (0.643) Data 0.000 (0.035) Loss 2.6903 (2.4359) Prec@1 40.234 (45.245) Prec@5 69.141 (70.587)
Epoch: [12][130/5005] Time 0.609 (0.640) Data 0.000 (0.032) Loss 2.4789 (2.4338) Prec@1 42.188 (45.292) Prec@5 71.484 (70.623)
Epoch: [12][140/5005] Time 0.608 (0.638) Data 0.001 (0.030) Loss 2.6351 (2.4374) Prec@1 39.062 (45.268) Prec@5 66.797 (70.601)
Epoch: [12][150/5005] Time 0.609 (0.637) Data 0.000 (0.028) Loss 2.2607 (2.4321) Prec@1 49.219 (45.382) Prec@5 75.391 (70.724)
Epoch: [12][160/5005] Time 0.610 (0.635) Data 0.000 (0.027) Loss 2.4609 (2.4283) Prec@1 45.703 (45.480) Prec@5 67.188 (70.766)
Epoch: [12][170/5005] Time 0.612 (0.634) Data 0.000 (0.025) Loss 2.3002 (2.4286) Prec@1 47.266 (45.507) Prec@5 71.875 (70.753)
Epoch: [12][180/5005] Time 0.608 (0.633) Data 0.000 (0.024) Loss 2.6421 (2.4306) Prec@1 41.797 (45.457) Prec@5 67.578 (70.731)
Epoch: [12][190/5005] Time 0.616 (0.632) Data 0.000 (0.022) Loss 2.4213 (2.4304) Prec@1 46.875 (45.411) Prec@5 69.141 (70.724)
Epoch: [12][200/5005] Time 0.617 (0.631) Data 0.000 (0.021) Loss 2.6059 (2.4311) Prec@1 44.531 (45.384) Prec@5 66.797 (70.711)
Epoch: [12][210/5005] Time 0.616 (0.630) Data 0.000 (0.020) Loss 2.5433 (2.4363) Prec@1 43.750 (45.337) Prec@5 69.922 (70.620)
Epoch: [12][220/5005] Time 0.611 (0.629) Data 0.000 (0.019) Loss 2.5016 (2.4394) Prec@1 46.875 (45.300) Prec@5 70.312 (70.576)
Epoch: [12][230/5005] Time 0.620 (0.629) Data 0.000 (0.019) Loss 2.3995 (2.4380) Prec@1 50.000 (45.353) Prec@5 71.094 (70.617)
Epoch: [12][240/5005] Time 0.613 (0.628) Data 0.001 (0.018) Loss 2.1867 (2.4379) Prec@1 48.828 (45.293) Prec@5 75.781 (70.575)
Epoch: [12][250/5005] Time 0.612 (0.628) Data 0.000 (0.017) Loss 2.2298 (2.4342) Prec@1 50.781 (45.379) Prec@5 76.172 (70.650)
Epoch: [12][260/5005] Time 0.615 (0.627) Data 0.001 (0.017) Loss 2.4746 (2.4353) Prec@1 45.312 (45.377) Prec@5 68.750 (70.625)
Epoch: [12][270/5005] Time 0.612 (0.627) Data 0.000 (0.016) Loss 2.2814 (2.4338) Prec@1 48.438 (45.451) Prec@5 74.609 (70.641)
Epoch: [12][280/5005] Time 0.616 (0.626) Data 0.001 (0.015) Loss 2.6545 (2.4332) Prec@1 41.797 (45.492) Prec@5 66.797 (70.654)
Epoch: [12][290/5005] Time 0.615 (0.626) Data 0.000 (0.015) Loss 2.2840 (2.4357) Prec@1 51.562 (45.483) Prec@5 70.703 (70.624)
Epoch: [12][300/5005] Time 0.613 (0.625) Data 0.000 (0.014) Loss 2.5023 (2.4398) Prec@1 45.703 (45.460) Prec@5 71.875 (70.585)
Epoch: [12][310/5005] Time 0.608 (0.625) Data 0.001 (0.014) Loss 2.6278 (2.4428) Prec@1 43.750 (45.422) Prec@5 68.359 (70.549)
Epoch: [12][320/5005] Time 0.610 (0.625) Data 0.000 (0.014) Loss 2.5549 (2.4438) Prec@1 46.484 (45.459) Prec@5 68.750 (70.518)
Epoch: [12][330/5005] Time 0.613 (0.624) Data 0.000 (0.013) Loss 2.6301 (2.4429) Prec@1 42.188 (45.440) Prec@5 71.094 (70.533)
Epoch: [12][340/5005] Time 0.612 (0.624) Data 0.001 (0.013) Loss 2.4008 (2.4444) Prec@1 46.094 (45.428) Prec@5 70.703 (70.515)
Epoch: [12][350/5005] Time 0.610 (0.624) Data 0.000 (0.012) Loss 2.5057 (2.4427) Prec@1 42.188 (45.456) Prec@5 72.656 (70.550)
Epoch: [12][360/5005] Time 0.615 (0.623) Data 0.000 (0.012) Loss 2.3846 (2.4415) Prec@1 43.359 (45.457) Prec@5 70.703 (70.571)
Epoch: [12][370/5005] Time 0.612 (0.623) Data 0.000 (0.012) Loss 2.3864 (2.4394) Prec@1 50.000 (45.524) Prec@5 69.531 (70.584)
Epoch: [12][380/5005] Time 0.615 (0.623) Data 0.000 (0.011) Loss 2.4304 (2.4367) Prec@1 46.484 (45.559) Prec@5 71.094 (70.633)
Epoch: [12][390/5005] Time 0.611 (0.623) Data 0.000 (0.011) Loss 2.1326 (2.4356) Prec@1 51.172 (45.579) Prec@5 72.266 (70.661)
Epoch: [12][400/5005] Time 0.616 (0.622) Data 0.000 (0.011) Loss 2.2443 (2.4352) Prec@1 45.703 (45.598) Prec@5 75.781 (70.656)
Epoch: [12][410/5005] Time 0.616 (0.622) Data 0.001 (0.011) Loss 2.5919 (2.4357) Prec@1 46.484 (45.581) Prec@5 68.359 (70.662)
Epoch: [12][420/5005] Time 0.613 (0.622) Data 0.000 (0.010) Loss 2.5759 (2.4378) Prec@1 41.016 (45.542) Prec@5 67.578 (70.634)
Epoch: [12][430/5005] Time 0.613 (0.622) Data 0.000 (0.010) Loss 2.5174 (2.4377) Prec@1 42.969 (45.534) Prec@5 69.141 (70.627)
Epoch: [12][440/5005] Time 0.611 (0.621) Data 0.000 (0.010) Loss 2.4337 (2.4376) Prec@1 43.359 (45.519) Prec@5 69.141 (70.642)
Epoch: [12][450/5005] Time 0.613 (0.621) Data 0.000 (0.010) Loss 2.5267 (2.4373) Prec@1 42.578 (45.513) Prec@5 69.531 (70.640)
Epoch: [12][460/5005] Time 0.612 (0.621) Data 0.001 (0.010) Loss 2.3446 (2.4371) Prec@1 47.266 (45.514) Prec@5 75.000 (70.634)
Epoch: [12][470/5005] Time 0.609 (0.621) Data 0.000 (0.009) Loss 2.5202 (2.4376) Prec@1 47.656 (45.521) Prec@5 69.141 (70.629)
Epoch: [12][480/5005] Time 0.613 (0.621) Data 0.000 (0.009) Loss 2.5597 (2.4376) Prec@1 44.922 (45.498) Prec@5 69.922 (70.650)
Epoch: [12][490/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 2.5429 (2.4383) Prec@1 43.750 (45.491) Prec@5 71.094 (70.636)
Epoch: [12][500/5005] Time 0.619 (0.621) Data 0.000 (0.009) Loss 2.3518 (2.4380) Prec@1 44.141 (45.500) Prec@5 71.094 (70.639)
Epoch: [12][510/5005] Time 0.611 (0.620) Data 0.000 (0.009) Loss 2.2802 (2.4379) Prec@1 46.484 (45.505) Prec@5 75.391 (70.647)
Epoch: [12][520/5005] Time 0.621 (0.620) Data 0.000 (0.009) Loss 2.1720 (2.4382) Prec@1 48.438 (45.498) Prec@5 73.828 (70.642)
Epoch: [12][530/5005] Time 0.607 (0.620) Data 0.000 (0.008) Loss 2.5320 (2.4385) Prec@1 42.969 (45.504) Prec@5 67.578 (70.633)
Epoch: [12][540/5005] Time 0.624 (0.620) Data 0.000 (0.008) Loss 2.6852 (2.4398) Prec@1 41.406 (45.468) Prec@5 69.531 (70.614)
Epoch: [12][550/5005] Time 0.617 (0.620) Data 0.000 (0.008) Loss 2.5073 (2.4421) Prec@1 46.875 (45.439) Prec@5 69.531 (70.580)
Epoch: [12][560/5005] Time 0.619 (0.620) Data 0.000 (0.008) Loss 2.7058 (2.4416) Prec@1 40.234 (45.442) Prec@5 69.141 (70.588)
Epoch: [12][570/5005] Time 0.615 (0.620) Data 0.000 (0.008) Loss 2.4896 (2.4409) Prec@1 44.922 (45.444) Prec@5 71.875 (70.612)
Epoch: [12][580/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 2.6085 (2.4411) Prec@1 39.062 (45.453) Prec@5 67.188 (70.618)
Epoch: [12][590/5005] Time 0.613 (0.620) Data 0.000 (0.008) Loss 2.5372 (2.4423) Prec@1 46.094 (45.452) Prec@5 67.578 (70.602)
Epoch: [12][600/5005] Time 0.612 (0.619) Data 0.001 (0.007) Loss 2.3863 (2.4433) Prec@1 45.312 (45.422) Prec@5 71.484 (70.591)
Epoch: [12][610/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.4564 (2.4428) Prec@1 39.062 (45.430) Prec@5 72.656 (70.593)
Epoch: [12][620/5005] Time 0.609 (0.619) Data 0.000 (0.007) Loss 2.4960 (2.4433) Prec@1 43.359 (45.409) Prec@5 68.359 (70.583)
Epoch: [12][630/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.2812 (2.4425) Prec@1 47.656 (45.412) Prec@5 73.828 (70.595)
Epoch: [12][640/5005] Time 0.621 (0.619) Data 0.001 (0.007) Loss 2.5658 (2.4435) Prec@1 46.875 (45.395) Prec@5 69.922 (70.576)
Epoch: [12][650/5005] Time 0.611 (0.619) Data 0.000 (0.007) Loss 2.2072 (2.4438) Prec@1 49.219 (45.401) Prec@5 73.828 (70.577)
Epoch: [12][660/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.1259 (2.4433) Prec@1 46.484 (45.401) Prec@5 77.344 (70.591)
Epoch: [12][670/5005] Time 0.618 (0.619) Data 0.000 (0.007) Loss 2.2041 (2.4424) Prec@1 48.828 (45.409) Prec@5 76.172 (70.608)
Epoch: [12][680/5005] Time 0.617 (0.619) Data 0.000 (0.007) Loss 2.6639 (2.4409) Prec@1 43.359 (45.428) Prec@5 69.922 (70.635)
Epoch: [12][690/5005] Time 0.616 (0.619) Data 0.000 (0.007) Loss 2.4944 (2.4422) Prec@1 43.750 (45.394) Prec@5 69.922 (70.630)
Epoch: [12][700/5005] Time 0.618 (0.619) Data 0.000 (0.006) Loss 2.5014 (2.4422) Prec@1 47.656 (45.392) Prec@5 68.750 (70.635)
Epoch: [12][710/5005] Time 0.614 (0.619) Data 0.000 (0.006) Loss 2.5032 (2.4428) Prec@1 41.406 (45.364) Prec@5 71.094 (70.626)
Epoch: [12][720/5005] Time 0.611 (0.618) Data 0.000 (0.006) Loss 2.2931 (2.4429) Prec@1 51.562 (45.383) Prec@5 71.484 (70.634)
Epoch: [12][730/5005] Time 0.610 (0.618) Data 0.000 (0.006) Loss 2.5317 (2.4422) Prec@1 45.312 (45.406) Prec@5 71.484 (70.644)
Epoch: [12][740/5005] Time 0.609 (0.618) Data 0.000 (0.006) Loss 2.2067 (2.4417) Prec@1 48.828 (45.410) Prec@5 75.391 (70.665)
Epoch: [12][750/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.5602 (2.4420) Prec@1 47.266 (45.412) Prec@5 67.969 (70.657)
Epoch: [12][760/5005] Time 0.617 (0.618) Data 0.001 (0.006) Loss 2.4881 (2.4407) Prec@1 47.266 (45.434) Prec@5 69.141 (70.672)
Epoch: [12][770/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.4672 (2.4410) Prec@1 47.266 (45.430) Prec@5 67.969 (70.664)
Epoch: [12][780/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.5066 (2.4407) Prec@1 47.656 (45.433) Prec@5 66.797 (70.661)
Epoch: [12][790/5005] Time 0.616 (0.618) Data 0.001 (0.006) Loss 2.2188 (2.4396) Prec@1 49.609 (45.451) Prec@5 75.000 (70.675)
Epoch: [12][800/5005] Time 0.613 (0.618) Data 0.001 (0.006) Loss 2.4445 (2.4397) Prec@1 42.969 (45.441) Prec@5 72.266 (70.681)
Epoch: [12][810/5005] Time 0.619 (0.618) Data 0.000 (0.006) Loss 2.2914 (2.4391) Prec@1 45.703 (45.457) Prec@5 73.438 (70.687)
Epoch: [12][820/5005] Time 0.617 (0.618) Data 0.000 (0.006) Loss 2.1535 (2.4364) Prec@1 48.047 (45.509) Prec@5 77.344 (70.732)
Epoch: [12][830/5005] Time 0.614 (0.618) Data 0.000 (0.006) Loss 2.3474 (2.4368) Prec@1 45.703 (45.508) Prec@5 71.875 (70.724)
Epoch: [12][840/5005] Time 0.612 (0.618) Data 0.000 (0.005) Loss 2.7405 (2.4376) Prec@1 39.453 (45.496) Prec@5 67.188 (70.715)
Epoch: [12][850/5005] Time 0.610 (0.618) Data 0.000 (0.005) Loss 2.6135 (2.4378) Prec@1 42.578 (45.496) Prec@5 68.750 (70.708)
Epoch: [12][860/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.3258 (2.4373) Prec@1 46.484 (45.502) Prec@5 72.266 (70.711)
Epoch: [12][870/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 2.3844 (2.4371) Prec@1 44.531 (45.513) Prec@5 71.875 (70.719)
Epoch: [12][880/5005] Time 0.621 (0.618) Data 0.000 (0.005) Loss 2.6294 (2.4376) Prec@1 44.531 (45.494) Prec@5 68.750 (70.720)
Epoch: [12][890/5005] Time 0.615 (0.618) Data 0.000 (0.005) Loss 2.2310 (2.4367) Prec@1 51.562 (45.521) Prec@5 73.828 (70.726)
Epoch: [12][900/5005] Time 0.609 (0.618) Data 0.001 (0.005) Loss 2.1977 (2.4374) Prec@1 51.172 (45.501) Prec@5 74.219 (70.722)
Epoch: [12][910/5005] Time 0.615 (0.618) Data 0.001 (0.005) Loss 2.6726 (2.4376) Prec@1 42.578 (45.487) Prec@5 69.531 (70.731)
Epoch: [12][920/5005] Time 0.617 (0.617) Data 0.001 (0.005) Loss 2.0690 (2.4374) Prec@1 48.828 (45.483) Prec@5 74.609 (70.723)
Epoch: [12][930/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 2.5526 (2.4370) Prec@1 40.625 (45.491) Prec@5 70.312 (70.736)
Epoch: [12][940/5005] Time 0.622 (0.617) Data 0.000 (0.005) Loss 2.3038 (2.4374) Prec@1 46.875 (45.480) Prec@5 72.656 (70.733)
Epoch: [12][950/5005] Time 0.622 (0.617) Data 0.000 (0.005) Loss 2.5756 (2.4377) Prec@1 42.578 (45.476) Prec@5 68.359 (70.732)
Epoch: [12][960/5005] Time 0.619 (0.617) Data 0.000 (0.005) Loss 2.6859 (2.4383) Prec@1 43.750 (45.467) Prec@5 66.406 (70.719)
Epoch: [12][970/5005] Time 0.604 (0.617) Data 0.000 (0.005) Loss 2.3231 (2.4381) Prec@1 46.875 (45.465) Prec@5 72.266 (70.730)
Epoch: [12][980/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.4370 (2.4379) Prec@1 44.531 (45.468) Prec@5 68.359 (70.730)
Epoch: [12][990/5005] Time 0.611 (0.617) Data 0.001 (0.005) Loss 2.4237 (2.4375) Prec@1 46.484 (45.483) Prec@5 72.656 (70.741)
Epoch: [12][1000/5005] Time 0.624 (0.617) Data 0.000 (0.005) Loss 2.1821 (2.4371) Prec@1 50.781 (45.493) Prec@5 74.219 (70.742)
Epoch: [12][1010/5005] Time 0.616 (0.617) Data 0.000 (0.005) Loss 2.4239 (2.4374) Prec@1 44.531 (45.485) Prec@5 70.312 (70.737)
Epoch: [12][1020/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.5367 (2.4374) Prec@1 45.703 (45.487) Prec@5 68.359 (70.731)
Epoch: [12][1030/5005] Time 0.614 (0.617) Data 0.000 (0.005) Loss 2.2939 (2.4376) Prec@1 49.609 (45.475) Prec@5 73.438 (70.734)
Epoch: [12][1040/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.5877 (2.4377) Prec@1 40.625 (45.476) Prec@5 65.625 (70.726)
Epoch: [12][1050/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.3158 (2.4374) Prec@1 47.656 (45.477) Prec@5 72.266 (70.737)
Epoch: [12][1060/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.6471 (2.4383) Prec@1 46.484 (45.461) Prec@5 66.016 (70.727)
Epoch: [12][1070/5005] Time 0.614 (0.617) Data 0.001 (0.004) Loss 2.6611 (2.4388) Prec@1 43.359 (45.460) Prec@5 66.016 (70.719)
Epoch: [12][1080/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 2.2992 (2.4385) Prec@1 45.312 (45.465) Prec@5 73.438 (70.725)
Epoch: [12][1090/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.5846 (2.4389) Prec@1 39.453 (45.459) Prec@5 67.578 (70.720)
Epoch: [12][1100/5005] Time 0.619 (0.617) Data 0.001 (0.004) Loss 2.9152 (2.4392) Prec@1 37.891 (45.451) Prec@5 64.844 (70.727)
Epoch: [12][1110/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.4131 (2.4390) Prec@1 48.047 (45.450) Prec@5 67.969 (70.731)
Epoch: [12][1120/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.5867 (2.4383) Prec@1 47.656 (45.463) Prec@5 69.141 (70.743)
Epoch: [12][1130/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.5231 (2.4386) Prec@1 41.797 (45.447) Prec@5 71.094 (70.741)
Epoch: [12][1140/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.6654 (2.4385) Prec@1 43.359 (45.453) Prec@5 66.797 (70.749)
Epoch: [12][1150/5005] Time 0.621 (0.617) Data 0.000 (0.004) Loss 2.2736 (2.4387) Prec@1 50.391 (45.449) Prec@5 75.000 (70.746)
Epoch: [12][1160/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.4833 (2.4380) Prec@1 43.750 (45.464) Prec@5 71.875 (70.761)
Epoch: [12][1170/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 2.4549 (2.4377) Prec@1 45.312 (45.474) Prec@5 69.531 (70.769)
Epoch: [12][1180/5005] Time 0.615 (0.617) Data 0.000 (0.004) Loss 2.4955 (2.4380) Prec@1 42.188 (45.471) Prec@5 67.578 (70.760)
Epoch: [12][1190/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.4778 (2.4380) Prec@1 45.312 (45.466) Prec@5 71.484 (70.763)
Epoch: [12][1200/5005] Time 0.621 (0.617) Data 0.001 (0.004) Loss 2.2648 (2.4376) Prec@1 49.609 (45.475) Prec@5 76.172 (70.779)
Epoch: [12][1210/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.4008 (2.4377) Prec@1 42.578 (45.469) Prec@5 73.828 (70.781)
Epoch: [12][1220/5005] Time 0.609 (0.616) Data 0.001 (0.004) Loss 2.3249 (2.4372) Prec@1 44.141 (45.476) Prec@5 73.828 (70.793)
Epoch: [12][1230/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 2.2160 (2.4369) Prec@1 47.656 (45.491) Prec@5 71.875 (70.795)
Epoch: [12][1240/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.4340 (2.4369) Prec@1 42.578 (45.486) Prec@5 71.094 (70.796)
Epoch: [12][1250/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.5438 (2.4364) Prec@1 42.578 (45.498) Prec@5 66.797 (70.803)
Epoch: [12][1260/5005] Time 0.613 (0.616) Data 0.000 (0.004) Loss 2.4683 (2.4362) Prec@1 43.750 (45.497) Prec@5 71.875 (70.807)
Epoch: [12][1270/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 2.4029 (2.4359) Prec@1 44.922 (45.505) Prec@5 69.531 (70.814)
Epoch: [12][1280/5005] Time 0.610 (0.616) Data 0.000 (0.004) Loss 2.3090 (2.4356) Prec@1 48.047 (45.513) Prec@5 74.219 (70.820)
Epoch: [12][1290/5005] Time 0.608 (0.616) Data 0.000 (0.004) Loss 2.3767 (2.4354) Prec@1 46.484 (45.519) Prec@5 71.484 (70.824)
Epoch: [12][1300/5005] Time 0.614 (0.616) Data 0.001 (0.004) Loss 2.3824 (2.4348) Prec@1 46.094 (45.528) Prec@5 72.656 (70.836)
Epoch: [12][1310/5005] Time 0.602 (0.616) Data 0.000 (0.004) Loss 2.3697 (2.4348) Prec@1 41.797 (45.523) Prec@5 71.094 (70.831)
Epoch: [12][1320/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 2.5338 (2.4349) Prec@1 45.312 (45.520) Prec@5 69.922 (70.833)
Epoch: [12][1330/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.4754 (2.4348) Prec@1 47.266 (45.521) Prec@5 70.703 (70.834)
Epoch: [12][1340/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.4229 (2.4345) Prec@1 48.047 (45.527) Prec@5 70.312 (70.842)
Epoch: [12][1350/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.4357 (2.4343) Prec@1 48.828 (45.533) Prec@5 71.875 (70.841)
Epoch: [12][1360/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.5946 (2.4349) Prec@1 41.016 (45.532) Prec@5 68.359 (70.834)
Epoch: [12][1370/5005] Time 0.616 (0.616) Data 0.000 (0.004) Loss 2.2955 (2.4348) Prec@1 48.047 (45.540) Prec@5 69.531 (70.836)
Epoch: [12][1380/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.6444 (2.4347) Prec@1 43.750 (45.543) Prec@5 67.578 (70.843)
Epoch: [12][1390/5005] Time 0.613 (0.616) Data 0.001 (0.003) Loss 2.4102 (2.4347) Prec@1 48.438 (45.549) Prec@5 67.969 (70.841)
Epoch: [12][1400/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.4808 (2.4342) Prec@1 45.312 (45.559) Prec@5 68.750 (70.851)
Epoch: [12][1410/5005] Time 0.606 (0.616) Data 0.000 (0.003) Loss 2.5372 (2.4341) Prec@1 48.047 (45.567) Prec@5 69.922 (70.853)
Epoch: [12][1420/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.3343 (2.4343) Prec@1 46.875 (45.566) Prec@5 70.312 (70.849)
Epoch: [12][1430/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.5038 (2.4339) Prec@1 44.531 (45.569) Prec@5 71.484 (70.855)
Epoch: [12][1440/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.5199 (2.4339) Prec@1 43.359 (45.565) Prec@5 69.531 (70.860)
Epoch: [12][1450/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.3839 (2.4334) Prec@1 44.531 (45.571) Prec@5 70.703 (70.871)
Epoch: [12][1460/5005] Time 0.614 (0.616) Data 0.001 (0.003) Loss 2.5144 (2.4332) Prec@1 41.406 (45.573) Prec@5 72.266 (70.875)
Epoch: [12][1470/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.3974 (2.4329) Prec@1 46.094 (45.574) Prec@5 71.875 (70.884)
Epoch: [12][1480/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.3278 (2.4333) Prec@1 49.219 (45.573) Prec@5 75.391 (70.885)
Epoch: [12][1490/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.4071 (2.4330) Prec@1 44.531 (45.575) Prec@5 71.094 (70.888)
Epoch: [12][1500/5005] Time 0.619 (0.616) Data 0.001 (0.003) Loss 2.4255 (2.4330) Prec@1 47.266 (45.566) Prec@5 70.703 (70.891)
Epoch: [12][1510/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.2961 (2.4331) Prec@1 51.172 (45.571) Prec@5 69.531 (70.884)
Epoch: [12][1520/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.4890 (2.4327) Prec@1 44.922 (45.572) Prec@5 71.484 (70.889)
Epoch: [12][1530/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.5483 (2.4324) Prec@1 43.359 (45.575) Prec@5 70.312 (70.896)
Epoch: [12][1540/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.5368 (2.4327) Prec@1 45.312 (45.568) Prec@5 67.578 (70.891)
Epoch: [12][1550/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.5864 (2.4333) Prec@1 42.188 (45.555) Prec@5 69.531 (70.884)
Epoch: [12][1560/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.2978 (2.4327) Prec@1 46.094 (45.558) Prec@5 72.656 (70.896)
Epoch: [12][1570/5005] Time 0.619 (0.616) Data 0.001 (0.003) Loss 2.4028 (2.4325) Prec@1 46.094 (45.565) Prec@5 72.266 (70.901)
Epoch: [12][1580/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.3268 (2.4324) Prec@1 50.781 (45.566) Prec@5 70.312 (70.904)
Epoch: [12][1590/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.4602 (2.4325) Prec@1 43.750 (45.559) Prec@5 68.750 (70.899)
Epoch: [12][1600/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.5277 (2.4335) Prec@1 49.609 (45.545) Prec@5 71.094 (70.888)
Epoch: [12][1610/5005] Time 0.610 (0.616) Data 0.001 (0.003) Loss 2.3746 (2.4339) Prec@1 43.750 (45.536) Prec@5 72.656 (70.886)
Epoch: [12][1620/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 2.6379 (2.4341) Prec@1 42.969 (45.539) Prec@5 67.188 (70.880)
Epoch: [12][1630/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.2857 (2.4333) Prec@1 49.609 (45.555) Prec@5 72.266 (70.890)
Epoch: [12][1640/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.2570 (2.4331) Prec@1 45.703 (45.559) Prec@5 74.609 (70.896)
Epoch: [12][1650/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.5258 (2.4330) Prec@1 41.406 (45.559) Prec@5 68.359 (70.900)
Epoch: [12][1660/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.6134 (2.4335) Prec@1 42.188 (45.552) Prec@5 69.141 (70.891)
Epoch: [12][1670/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.4391 (2.4337) Prec@1 45.703 (45.551) Prec@5 70.312 (70.894)
Epoch: [12][1680/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.2691 (2.4338) Prec@1 50.000 (45.551) Prec@5 74.609 (70.894)
Epoch: [12][1690/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.6943 (2.4341) Prec@1 42.969 (45.543) Prec@5 67.188 (70.888)
Epoch: [12][1700/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.4019 (2.4336) Prec@1 46.484 (45.551) Prec@5 74.219 (70.902)
Epoch: [12][1710/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.3014 (2.4339) Prec@1 47.266 (45.541) Prec@5 74.609 (70.901)
Epoch: [12][1720/5005] Time 0.616 (0.616) Data 0.001 (0.003) Loss 2.1094 (2.4340) Prec@1 48.828 (45.538) Prec@5 72.266 (70.898)
Epoch: [12][1730/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6028 (2.4343) Prec@1 46.484 (45.537) Prec@5 67.578 (70.887)
Epoch: [12][1740/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.3672 (2.4341) Prec@1 45.312 (45.539) Prec@5 72.656 (70.884)
Epoch: [12][1750/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.9121 (2.4342) Prec@1 39.062 (45.532) Prec@5 64.844 (70.882)
Epoch: [12][1760/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.3049 (2.4335) Prec@1 47.266 (45.550) Prec@5 72.266 (70.888)
Epoch: [12][1770/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.3937 (2.4332) Prec@1 44.922 (45.559) Prec@5 74.219 (70.895)
Epoch: [12][1780/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.3967 (2.4331) Prec@1 47.656 (45.558) Prec@5 72.266 (70.895)
Epoch: [12][1790/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 2.5198 (2.4331) Prec@1 46.875 (45.556) Prec@5 68.359 (70.893)
Epoch: [12][1800/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.2080 (2.4330) Prec@1 50.781 (45.552) Prec@5 73.047 (70.897)
Epoch: [12][1810/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.4738 (2.4331) Prec@1 42.969 (45.554) Prec@5 68.359 (70.898)
Epoch: [12][1820/5005] Time 0.606 (0.615) Data 0.001 (0.003) Loss 2.2797 (2.4331) Prec@1 49.219 (45.557) Prec@5 73.438 (70.895)
Epoch: [12][1830/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.7448 (2.4335) Prec@1 41.797 (45.554) Prec@5 67.188 (70.895)
Epoch: [12][1840/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 2.5692 (2.4337) Prec@1 44.531 (45.552) Prec@5 66.016 (70.886)
Epoch: [12][1850/5005] Time 0.609 (0.615) Data 0.000 (0.003) Loss 2.7122 (2.4338) Prec@1 39.453 (45.554) Prec@5 64.062 (70.881)
Epoch: [12][1860/5005] Time 0.604 (0.615) Data 0.000 (0.003) Loss 2.4996 (2.4336) Prec@1 44.531 (45.567) Prec@5 73.438 (70.886)
Epoch: [12][1870/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.2222 (2.4335) Prec@1 45.703 (45.561) Prec@5 76.172 (70.890)
Epoch: [12][1880/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.7319 (2.4335) Prec@1 42.188 (45.559) Prec@5 62.500 (70.886)
Epoch: [12][1890/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.3814 (2.4333) Prec@1 46.484 (45.563) Prec@5 73.438 (70.893)
Epoch: [12][1900/5005] Time 0.619 (0.615) Data 0.000 (0.003) Loss 2.4210 (2.4334) Prec@1 45.312 (45.565) Prec@5 73.438 (70.895)
Epoch: [12][1910/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.4087 (2.4335) Prec@1 46.094 (45.563) Prec@5 69.141 (70.888)
Epoch: [12][1920/5005] Time 0.610 (0.615) Data 0.001 (0.003) Loss 2.5040 (2.4336) Prec@1 40.625 (45.567) Prec@5 72.656 (70.884)
Epoch: [12][1930/5005] Time 0.611 (0.615) Data 0.001 (0.003) Loss 2.3774 (2.4331) Prec@1 42.969 (45.572) Prec@5 73.828 (70.890)
Epoch: [12][1940/5005] Time 0.613 (0.615) Data 0.001 (0.003) Loss 2.5582 (2.4332) Prec@1 43.359 (45.570) Prec@5 66.797 (70.885)
Epoch: [12][1950/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.3696 (2.4330) Prec@1 46.094 (45.573) Prec@5 72.656 (70.894)
Epoch: [12][1960/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.6187 (2.4333) Prec@1 41.797 (45.566) Prec@5 69.531 (70.888)
Epoch: [12][1970/5005] Time 0.616 (0.615) Data 0.001 (0.003) Loss 2.3110 (2.4330) Prec@1 48.047 (45.574) Prec@5 76.562 (70.895)
Epoch: [12][1980/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.4322 (2.4326) Prec@1 43.359 (45.580) Prec@5 71.094 (70.901)
Epoch: [12][1990/5005] Time 0.613 (0.615) Data 0.001 (0.003) Loss 2.6637 (2.4334) Prec@1 43.359 (45.571) Prec@5 66.797 (70.889)
Epoch: [12][2000/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.3705 (2.4334) Prec@1 42.578 (45.569) Prec@5 69.922 (70.891)
Epoch: [12][2010/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.3598 (2.4329) Prec@1 46.094 (45.578) Prec@5 75.000 (70.899)
Epoch: [12][2020/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.4129 (2.4332) Prec@1 45.703 (45.571) Prec@5 72.656 (70.895)
Epoch: [12][2030/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.5239 (2.4334) Prec@1 43.750 (45.567) Prec@5 71.094 (70.889)
Epoch: [12][2040/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.4580 (2.4335) Prec@1 46.484 (45.570) Prec@5 72.266 (70.883)
Epoch: [12][2050/5005] Time 0.611 (0.615) Data 0.000 (0.003) Loss 2.5057 (2.4334) Prec@1 41.797 (45.569) Prec@5 68.750 (70.883)
Epoch: [12][2060/5005] Time 0.619 (0.615) Data 0.001 (0.002) Loss 2.5551 (2.4331) Prec@1 46.484 (45.582) Prec@5 69.531 (70.889)
Epoch: [12][2070/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.1595 (2.4327) Prec@1 49.609 (45.585) Prec@5 75.000 (70.894)
Epoch: [12][2080/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3724 (2.4327) Prec@1 49.219 (45.587) Prec@5 74.609 (70.893)
Epoch: [12][2090/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5031 (2.4327) Prec@1 44.141 (45.587) Prec@5 72.266 (70.892)
Epoch: [12][2100/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5190 (2.4326) Prec@1 45.312 (45.592) Prec@5 68.750 (70.895)
Epoch: [12][2110/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.2920 (2.4325) Prec@1 46.484 (45.588) Prec@5 74.219 (70.896)
Epoch: [12][2120/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4812 (2.4328) Prec@1 46.094 (45.583) Prec@5 70.312 (70.893)
Epoch: [12][2130/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.4232 (2.4327) Prec@1 46.094 (45.580) Prec@5 70.312 (70.894)
Epoch: [12][2140/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4979 (2.4327) Prec@1 44.141 (45.582) Prec@5 71.484 (70.894)
Epoch: [12][2150/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.1241 (2.4325) Prec@1 54.297 (45.587) Prec@5 75.391 (70.894)
Epoch: [12][2160/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.3509 (2.4325) Prec@1 48.047 (45.585) Prec@5 70.703 (70.892)
Epoch: [12][2170/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3040 (2.4323) Prec@1 46.875 (45.589) Prec@5 71.094 (70.894)
Epoch: [12][2180/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5387 (2.4324) Prec@1 45.312 (45.586) Prec@5 68.750 (70.894)
Epoch: [12][2190/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.2700 (2.4323) Prec@1 50.391 (45.591) Prec@5 75.391 (70.894)
Epoch: [12][2200/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4951 (2.4323) Prec@1 48.828 (45.594) Prec@5 70.703 (70.895)
Epoch: [12][2210/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.5004 (2.4325) Prec@1 44.531 (45.592) Prec@5 70.703 (70.894)
Epoch: [12][2220/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5149 (2.4326) Prec@1 45.703 (45.593) Prec@5 68.750 (70.891)
Epoch: [12][2230/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4295 (2.4324) Prec@1 44.531 (45.594) Prec@5 69.141 (70.894)
Epoch: [12][2240/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.3182 (2.4321) Prec@1 50.000 (45.601) Prec@5 72.656 (70.899)
Epoch: [12][2250/5005] Time 0.602 (0.615) Data 0.001 (0.002) Loss 2.4859 (2.4321) Prec@1 45.312 (45.605) Prec@5 71.875 (70.900)
Epoch: [12][2260/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6229 (2.4322) Prec@1 40.234 (45.606) Prec@5 66.406 (70.895)
Epoch: [12][2270/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5204 (2.4322) Prec@1 41.406 (45.605) Prec@5 67.188 (70.890)
Epoch: [12][2280/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.2414 (2.4321) Prec@1 50.000 (45.608) Prec@5 75.000 (70.892)
Epoch: [12][2290/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.0606 (2.4318) Prec@1 51.953 (45.613) Prec@5 76.953 (70.894)
Epoch: [12][2300/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4240 (2.4319) Prec@1 44.141 (45.611) Prec@5 68.750 (70.891)
Epoch: [12][2310/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2978 (2.4313) Prec@1 47.266 (45.620) Prec@5 73.828 (70.900)
Epoch: [12][2320/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3423 (2.4312) Prec@1 44.531 (45.625) Prec@5 76.172 (70.901)
Epoch: [12][2330/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2200 (2.4310) Prec@1 51.172 (45.629) Prec@5 74.609 (70.906)
Epoch: [12][2340/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5774 (2.4312) Prec@1 44.922 (45.628) Prec@5 70.703 (70.902)
Epoch: [12][2350/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.3393 (2.4315) Prec@1 44.531 (45.624) Prec@5 75.391 (70.899)
Epoch: [12][2360/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5235 (2.4312) Prec@1 45.703 (45.629) Prec@5 68.359 (70.903)
Epoch: [12][2370/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3065 (2.4313) Prec@1 50.391 (45.628) Prec@5 71.094 (70.904)
Epoch: [12][2380/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3137 (2.4312) Prec@1 47.266 (45.627) Prec@5 71.484 (70.906)
Epoch: [12][2390/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4848 (2.4310) Prec@1 47.656 (45.627) Prec@5 72.266 (70.909)
Epoch: [12][2400/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.6084 (2.4311) Prec@1 45.312 (45.626) Prec@5 65.234 (70.908)
Epoch: [12][2410/5005] Time 0.619 (0.615) Data 0.001 (0.002) Loss 2.3585 (2.4310) Prec@1 46.094 (45.632) Prec@5 70.703 (70.906)
Epoch: [12][2420/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3303 (2.4305) Prec@1 46.484 (45.640) Prec@5 75.000 (70.915)
Epoch: [12][2430/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6026 (2.4308) Prec@1 41.797 (45.637) Prec@5 68.750 (70.912)
Epoch: [12][2440/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.4641 (2.4308) Prec@1 48.438 (45.635) Prec@5 70.703 (70.914)
Epoch: [12][2450/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5660 (2.4308) Prec@1 44.531 (45.635) Prec@5 67.578 (70.913)
Epoch: [12][2460/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.6131 (2.4311) Prec@1 46.484 (45.633) Prec@5 69.531 (70.909)
Epoch: [12][2470/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2594 (2.4313) Prec@1 48.828 (45.631) Prec@5 75.391 (70.909)
Epoch: [12][2480/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.4300 (2.4316) Prec@1 45.703 (45.629) Prec@5 69.922 (70.905)
Epoch: [12][2490/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.2596 (2.4316) Prec@1 46.875 (45.628) Prec@5 71.094 (70.902)
Epoch: [12][2500/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2690 (2.4316) Prec@1 49.609 (45.629) Prec@5 75.781 (70.898)
Epoch: [12][2510/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.3592 (2.4317) Prec@1 46.094 (45.628) Prec@5 74.219 (70.900)
Epoch: [12][2520/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2221 (2.4314) Prec@1 50.391 (45.632) Prec@5 74.609 (70.906)
Epoch: [12][2530/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.3501 (2.4318) Prec@1 46.094 (45.625) Prec@5 73.438 (70.902)
Epoch: [12][2540/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.4130 (2.4317) Prec@1 44.922 (45.628) Prec@5 68.750 (70.900)
Epoch: [12][2550/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.6456 (2.4319) Prec@1 41.797 (45.625) Prec@5 67.969 (70.900)
Epoch: [12][2560/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.3236 (2.4316) Prec@1 45.312 (45.629) Prec@5 72.266 (70.906)
Epoch: [12][2570/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5154 (2.4314) Prec@1 45.312 (45.634) Prec@5 69.141 (70.910)
Epoch: [12][2580/5005] Time 0.610 (0.615) Data 0.001 (0.002) Loss 2.4517 (2.4314) Prec@1 42.969 (45.637) Prec@5 68.359 (70.906)
Epoch: [12][2590/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.4284 (2.4316) Prec@1 45.703 (45.635) Prec@5 70.312 (70.902)
Epoch: [12][2600/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.5311 (2.4318) Prec@1 45.703 (45.629) Prec@5 70.312 (70.899)
Epoch: [12][2610/5005] Time 0.622 (0.615) Data 0.001 (0.002) Loss 2.6849 (2.4319) Prec@1 40.234 (45.624) Prec@5 67.578 (70.897)
Epoch: [12][2620/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.7393 (2.4321) Prec@1 42.969 (45.620) Prec@5 65.234 (70.895)
Epoch: [12][2630/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.5298 (2.4324) Prec@1 45.312 (45.621) Prec@5 67.188 (70.892)
Epoch: [12][2640/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6859 (2.4325) Prec@1 39.844 (45.616) Prec@5 69.141 (70.892)
Epoch: [12][2650/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.7046 (2.4329) Prec@1 38.672 (45.609) Prec@5 67.969 (70.888)
Epoch: [12][2660/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2691 (2.4327) Prec@1 49.219 (45.615) Prec@5 70.703 (70.892)
Epoch: [12][2670/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3413 (2.4326) Prec@1 47.656 (45.619) Prec@5 71.875 (70.892)
Epoch: [12][2680/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.6862 (2.4327) Prec@1 41.797 (45.616) Prec@5 67.969 (70.889)
Epoch: [12][2690/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.6807 (2.4329) Prec@1 40.234 (45.607) Prec@5 66.016 (70.889)
Epoch: [12][2700/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.6830 (2.4328) Prec@1 43.750 (45.607) Prec@5 66.406 (70.892)
Epoch: [12][2710/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4851 (2.4329) Prec@1 44.531 (45.604) Prec@5 71.094 (70.892)
Epoch: [12][2720/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5977 (2.4331) Prec@1 39.453 (45.597) Prec@5 71.094 (70.890)
Epoch: [12][2730/5005] Time 0.609 (0.615) Data 0.001 (0.002) Loss 2.3656 (2.4329) Prec@1 46.484 (45.605) Prec@5 70.703 (70.889)
Epoch: [12][2740/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5979 (2.4331) Prec@1 41.016 (45.602) Prec@5 68.750 (70.889)
Epoch: [12][2750/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4405 (2.4331) Prec@1 44.922 (45.602) Prec@5 71.094 (70.889)
Epoch: [12][2760/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.7499 (2.4333) Prec@1 40.234 (45.600) Prec@5 65.625 (70.887)
Epoch: [12][2770/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6653 (2.4334) Prec@1 41.797 (45.595) Prec@5 65.234 (70.882)
Epoch: [12][2780/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.8014 (2.4333) Prec@1 39.062 (45.592) Prec@5 64.062 (70.883)
Epoch: [12][2790/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3362 (2.4332) Prec@1 45.703 (45.593) Prec@5 73.828 (70.891)
Epoch: [12][2800/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7878 (2.4334) Prec@1 43.359 (45.592) Prec@5 66.406 (70.886)
Epoch: [12][2810/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4768 (2.4335) Prec@1 41.016 (45.589) Prec@5 68.750 (70.888)
Epoch: [12][2820/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.2346 (2.4332) Prec@1 45.703 (45.590) Prec@5 74.219 (70.892)
Epoch: [12][2830/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.3406 (2.4332) Prec@1 45.703 (45.584) Prec@5 72.656 (70.891)
Epoch: [12][2840/5005] Time 0.606 (0.615) Data 0.001 (0.002) Loss 2.2251 (2.4330) Prec@1 45.312 (45.589) Prec@5 73.438 (70.891)
Epoch: [12][2850/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4331 (2.4332) Prec@1 45.703 (45.586) Prec@5 73.828 (70.889)
Epoch: [12][2860/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4009 (2.4330) Prec@1 47.656 (45.589) Prec@5 71.875 (70.896)
Epoch: [12][2870/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.2719 (2.4331) Prec@1 47.266 (45.588) Prec@5 71.484 (70.895)
Epoch: [12][2880/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4005 (2.4333) Prec@1 46.094 (45.586) Prec@5 72.266 (70.892)
Epoch: [12][2890/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.1439 (2.4331) Prec@1 53.516 (45.588) Prec@5 70.703 (70.894)
Epoch: [12][2900/5005] Time 0.613 (0.615) Data 0.001 (0.002) Loss 2.5214 (2.4332) Prec@1 42.578 (45.589) Prec@5 69.922 (70.894)
Epoch: [12][2910/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3299 (2.4332) Prec@1 47.656 (45.588) Prec@5 72.266 (70.897)
Epoch: [12][2920/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.6384 (2.4332) Prec@1 40.625 (45.587) Prec@5 69.922 (70.897)
Epoch: [12][2930/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4966 (2.4330) Prec@1 47.266 (45.586) Prec@5 69.922 (70.899)
Epoch: [12][2940/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6266 (2.4329) Prec@1 39.453 (45.586) Prec@5 64.453 (70.902)
Epoch: [12][2950/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.5972 (2.4332) Prec@1 41.016 (45.584) Prec@5 71.094 (70.896)
Epoch: [12][2960/5005] Time 0.620 (0.615) Data 0.001 (0.002) Loss 2.4463 (2.4333) Prec@1 51.172 (45.583) Prec@5 68.359 (70.890)
Epoch: [12][2970/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2832 (2.4331) Prec@1 49.219 (45.585) Prec@5 74.219 (70.898)
Epoch: [12][2980/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 2.4612 (2.4332) Prec@1 43.750 (45.583) Prec@5 68.359 (70.900)
Epoch: [12][2990/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3859 (2.4335) Prec@1 46.094 (45.580) Prec@5 73.828 (70.897)
Epoch: [12][3000/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.6700 (2.4337) Prec@1 44.531 (45.572) Prec@5 66.797 (70.892)
Epoch: [12][3010/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6809 (2.4340) Prec@1 44.141 (45.565) Prec@5 66.406 (70.885)
Epoch: [12][3020/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4791 (2.4342) Prec@1 43.750 (45.562) Prec@5 69.531 (70.883)
Epoch: [12][3030/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7005 (2.4342) Prec@1 45.703 (45.565) Prec@5 68.359 (70.886)
Epoch: [12][3040/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.2194 (2.4342) Prec@1 47.266 (45.565) Prec@5 73.047 (70.884)
Epoch: [12][3050/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4823 (2.4341) Prec@1 44.141 (45.569) Prec@5 70.312 (70.885)
Epoch: [12][3060/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.7055 (2.4342) Prec@1 40.234 (45.564) Prec@5 69.141 (70.883)
Epoch: [12][3070/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4199 (2.4341) Prec@1 46.094 (45.565) Prec@5 70.703 (70.886)
Epoch: [12][3080/5005] Time 0.626 (0.615) Data 0.000 (0.002) Loss 2.4758 (2.4338) Prec@1 42.969 (45.570) Prec@5 69.531 (70.889)
Epoch: [12][3090/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.1862 (2.4337) Prec@1 48.438 (45.572) Prec@5 75.000 (70.891)
Epoch: [12][3100/5005] Time 0.611 (0.615) Data 0.001 (0.002) Loss 2.6240 (2.4339) Prec@1 45.312 (45.573) Prec@5 69.141 (70.888)
Epoch: [12][3110/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.5232 (2.4341) Prec@1 45.312 (45.573) Prec@5 69.531 (70.887)
Epoch: [12][3120/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.1729 (2.4341) Prec@1 50.391 (45.570) Prec@5 75.391 (70.888)
Epoch: [12][3130/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4119 (2.4340) Prec@1 46.484 (45.574) Prec@5 71.094 (70.888)
Epoch: [12][3140/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5847 (2.4339) Prec@1 44.141 (45.578) Prec@5 70.312 (70.890)
Epoch: [12][3150/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4931 (2.4340) Prec@1 44.531 (45.576) Prec@5 70.312 (70.887)
Epoch: [12][3160/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.7079 (2.4340) Prec@1 47.266 (45.577) Prec@5 66.016 (70.885)
Epoch: [12][3170/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.2816 (2.4338) Prec@1 47.266 (45.583) Prec@5 71.875 (70.888)
Epoch: [12][3180/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2813 (2.4337) Prec@1 49.609 (45.586) Prec@5 73.438 (70.890)
Epoch: [12][3190/5005] Time 0.605 (0.615) Data 0.000 (0.002) Loss 2.3010 (2.4337) Prec@1 50.000 (45.586) Prec@5 72.266 (70.887)
Epoch: [12][3200/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 1.9921 (2.4338) Prec@1 51.172 (45.583) Prec@5 79.688 (70.887)
Epoch: [12][3210/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3390 (2.4336) Prec@1 53.516 (45.589) Prec@5 72.656 (70.892)
Epoch: [12][3220/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.3582 (2.4335) Prec@1 47.656 (45.593) Prec@5 73.047 (70.893)
Epoch: [12][3230/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2747 (2.4334) Prec@1 46.094 (45.597) Prec@5 73.828 (70.895)
Epoch: [12][3240/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4189 (2.4332) Prec@1 42.578 (45.603) Prec@5 67.188 (70.898)
Epoch: [12][3250/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5340 (2.4333) Prec@1 44.922 (45.602) Prec@5 69.922 (70.895)
Epoch: [12][3260/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3154 (2.4331) Prec@1 44.922 (45.606) Prec@5 75.391 (70.898)
Epoch: [12][3270/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.3995 (2.4334) Prec@1 49.609 (45.604) Prec@5 70.312 (70.893)
Epoch: [12][3280/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5167 (2.4334) Prec@1 45.312 (45.604) Prec@5 66.797 (70.895)
Epoch: [12][3290/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.1994 (2.4332) Prec@1 51.953 (45.612) Prec@5 76.953 (70.899)
Epoch: [12][3300/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4560 (2.4331) Prec@1 43.359 (45.612) Prec@5 72.266 (70.902)
Epoch: [12][3310/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5602 (2.4334) Prec@1 43.359 (45.606) Prec@5 72.266 (70.901)
Epoch: [12][3320/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.2911 (2.4329) Prec@1 47.266 (45.616) Prec@5 68.359 (70.908)
Epoch: [12][3330/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.1138 (2.4326) Prec@1 49.219 (45.620) Prec@5 79.297 (70.914)
Epoch: [12][3340/5005] Time 0.614 (0.615) Data 0.001 (0.002) Loss 2.5358 (2.4324) Prec@1 41.016 (45.623) Prec@5 69.922 (70.918)
Epoch: [12][3350/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 2.4533 (2.4324) Prec@1 46.484 (45.620) Prec@5 71.094 (70.920)
Epoch: [12][3360/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5217 (2.4326) Prec@1 45.703 (45.619) Prec@5 70.703 (70.920)
Epoch: [12][3370/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.5991 (2.4326) Prec@1 42.578 (45.619) Prec@5 69.141 (70.920)
Epoch: [12][3380/5005] Time 0.616 (0.614) Data 0.001 (0.002) Loss 2.3533 (2.4326) Prec@1 48.438 (45.622) Prec@5 74.609 (70.919)
Epoch: [12][3390/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3144 (2.4325) Prec@1 44.922 (45.623) Prec@5 72.656 (70.921)
Epoch: [12][3400/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.5659 (2.4323) Prec@1 44.922 (45.628) Prec@5 68.359 (70.924)
Epoch: [12][3410/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.7572 (2.4322) Prec@1 44.531 (45.632) Prec@5 67.188 (70.924)
Epoch: [12][3420/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.3029 (2.4324) Prec@1 44.531 (45.629) Prec@5 71.484 (70.920)
Epoch: [12][3430/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5004 (2.4324) Prec@1 41.406 (45.625) Prec@5 67.188 (70.916)
Epoch: [12][3440/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.4997 (2.4325) Prec@1 47.656 (45.623) Prec@5 72.266 (70.917)
Epoch: [12][3450/5005] Time 0.613 (0.614) Data 0.001 (0.002) Loss 2.5980 (2.4323) Prec@1 43.750 (45.626) Prec@5 67.969 (70.922)
Epoch: [12][3460/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.2687 (2.4324) Prec@1 46.875 (45.622) Prec@5 76.172 (70.920)
Epoch: [12][3470/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.3985 (2.4327) Prec@1 47.266 (45.618) Prec@5 70.312 (70.915)
Epoch: [12][3480/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.5397 (2.4329) Prec@1 41.797 (45.614) Prec@5 70.703 (70.915)
Epoch: [12][3490/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4348 (2.4332) Prec@1 46.094 (45.614) Prec@5 68.750 (70.909)
Epoch: [12][3500/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.1367 (2.4328) Prec@1 49.609 (45.620) Prec@5 78.125 (70.915)
Epoch: [12][3510/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4979 (2.4329) Prec@1 45.312 (45.619) Prec@5 70.312 (70.915)
Epoch: [12][3520/5005] Time 0.603 (0.614) Data 0.000 (0.002) Loss 2.4112 (2.4329) Prec@1 46.875 (45.619) Prec@5 73.438 (70.914)
Epoch: [12][3530/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.4797 (2.4328) Prec@1 42.188 (45.620) Prec@5 71.094 (70.916)
Epoch: [12][3540/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.2375 (2.4327) Prec@1 48.828 (45.624) Prec@5 74.609 (70.918)
Epoch: [12][3550/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5470 (2.4326) Prec@1 44.141 (45.628) Prec@5 69.922 (70.919)
Epoch: [12][3560/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.7857 (2.4327) Prec@1 41.797 (45.628) Prec@5 64.453 (70.918)
Epoch: [12][3570/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.4967 (2.4327) Prec@1 46.094 (45.626) Prec@5 68.750 (70.920)
Epoch: [12][3580/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3286 (2.4325) Prec@1 50.781 (45.627) Prec@5 73.438 (70.923)
Epoch: [12][3590/5005] Time 0.619 (0.614) Data 0.001 (0.002) Loss 2.5473 (2.4326) Prec@1 42.969 (45.626) Prec@5 71.484 (70.924)
Epoch: [12][3600/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.3524 (2.4325) Prec@1 44.141 (45.624) Prec@5 73.828 (70.927)
Epoch: [12][3610/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.3566 (2.4327) Prec@1 46.094 (45.620) Prec@5 72.266 (70.924)
Epoch: [12][3620/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.2779 (2.4324) Prec@1 48.828 (45.625) Prec@5 74.219 (70.929)
Epoch: [12][3630/5005] Time 0.612 (0.614) Data 0.001 (0.002) Loss 2.5856 (2.4322) Prec@1 45.703 (45.632) Prec@5 68.750 (70.932)
Epoch: [12][3640/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.5716 (2.4324) Prec@1 42.578 (45.627) Prec@5 67.188 (70.928)
Epoch: [12][3650/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.6899 (2.4323) Prec@1 39.844 (45.628) Prec@5 70.312 (70.931)
Epoch: [12][3660/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.4534 (2.4325) Prec@1 46.484 (45.625) Prec@5 72.266 (70.928)
Epoch: [12][3670/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.5105 (2.4325) Prec@1 41.016 (45.625) Prec@5 68.750 (70.929)
Epoch: [12][3680/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.5411 (2.4326) Prec@1 42.969 (45.619) Prec@5 68.359 (70.928)
Epoch: [12][3690/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.2267 (2.4325) Prec@1 49.219 (45.622) Prec@5 74.609 (70.931)
Epoch: [12][3700/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4821 (2.4324) Prec@1 45.703 (45.622) Prec@5 69.141 (70.930)
Epoch: [12][3710/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.3605 (2.4324) Prec@1 50.000 (45.626) Prec@5 72.266 (70.933)
Epoch: [12][3720/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.0840 (2.4323) Prec@1 51.953 (45.626) Prec@5 76.562 (70.932)
Epoch: [12][3730/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.2846 (2.4323) Prec@1 45.703 (45.624) Prec@5 70.312 (70.932)
Epoch: [12][3740/5005] Time 0.614 (0.614) Data 0.001 (0.002) Loss 2.3479 (2.4322) Prec@1 47.656 (45.627) Prec@5 72.266 (70.936)
Epoch: [12][3750/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.4292 (2.4321) Prec@1 47.266 (45.634) Prec@5 71.094 (70.940)
Epoch: [12][3760/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.7788 (2.4321) Prec@1 42.188 (45.635) Prec@5 62.500 (70.938)
Epoch: [12][3770/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.6634 (2.4320) Prec@1 42.188 (45.635) Prec@5 66.406 (70.938)
Epoch: [12][3780/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.4477 (2.4319) Prec@1 44.141 (45.635) Prec@5 67.969 (70.937)
Epoch: [12][3790/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.4454 (2.4320) Prec@1 50.000 (45.632) Prec@5 73.828 (70.936)
Epoch: [12][3800/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.3796 (2.4319) Prec@1 48.828 (45.636) Prec@5 73.438 (70.938)
Epoch: [12][3810/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5385 (2.4321) Prec@1 43.359 (45.630) Prec@5 68.359 (70.935)
Epoch: [12][3820/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.7609 (2.4323) Prec@1 43.750 (45.628) Prec@5 66.016 (70.934)
Epoch: [12][3830/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.2672 (2.4323) Prec@1 47.266 (45.626) Prec@5 77.344 (70.935)
Epoch: [12][3840/5005] Time 0.622 (0.614) Data 0.000 (0.002) Loss 2.3432 (2.4323) Prec@1 45.703 (45.626) Prec@5 73.438 (70.933)
Epoch: [12][3850/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.3940 (2.4323) Prec@1 43.750 (45.624) Prec@5 72.266 (70.934)
Epoch: [12][3860/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.5700 (2.4326) Prec@1 39.844 (45.620) Prec@5 67.188 (70.931)
Epoch: [12][3870/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.3426 (2.4323) Prec@1 43.359 (45.626) Prec@5 74.609 (70.936)
Epoch: [12][3880/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.2346 (2.4322) Prec@1 48.438 (45.629) Prec@5 73.828 (70.939)
Epoch: [12][3890/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.7081 (2.4322) Prec@1 37.891 (45.628) Prec@5 66.406 (70.939)
Epoch: [12][3900/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.2860 (2.4320) Prec@1 42.969 (45.628) Prec@5 76.562 (70.943)
Epoch: [12][3910/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.6152 (2.4319) Prec@1 41.797 (45.628) Prec@5 67.578 (70.943)
Epoch: [12][3920/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5843 (2.4321) Prec@1 42.578 (45.626) Prec@5 68.750 (70.942)
Epoch: [12][3930/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.3669 (2.4320) Prec@1 48.438 (45.624) Prec@5 71.484 (70.944)
Epoch: [12][3940/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.4672 (2.4321) Prec@1 43.750 (45.624) Prec@5 71.094 (70.945)
Epoch: [12][3950/5005] Time 0.621 (0.614) Data 0.000 (0.002) Loss 2.3709 (2.4319) Prec@1 44.531 (45.627) Prec@5 71.875 (70.950)
Epoch: [12][3960/5005] Time 0.608 (0.614) Data 0.001 (0.002) Loss 2.3336 (2.4318) Prec@1 46.875 (45.629) Prec@5 70.703 (70.950)
Epoch: [12][3970/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3821 (2.4318) Prec@1 47.266 (45.631) Prec@5 72.266 (70.951)
Epoch: [12][3980/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.2443 (2.4319) Prec@1 46.875 (45.630) Prec@5 75.000 (70.949)
Epoch: [12][3990/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.2976 (2.4320) Prec@1 46.484 (45.626) Prec@5 69.531 (70.945)
Epoch: [12][4000/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3330 (2.4322) Prec@1 51.172 (45.624) Prec@5 72.266 (70.943)
Epoch: [12][4010/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.3324 (2.4322) Prec@1 43.750 (45.623) Prec@5 73.047 (70.942)
Epoch: [12][4020/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.4192 (2.4322) Prec@1 48.047 (45.618) Prec@5 72.656 (70.942)
Epoch: [12][4030/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4417 (2.4323) Prec@1 44.531 (45.618) Prec@5 72.266 (70.941)
Epoch: [12][4040/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.2226 (2.4323) Prec@1 50.000 (45.620) Prec@5 76.172 (70.943)
Epoch: [12][4050/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.4554 (2.4324) Prec@1 40.625 (45.617) Prec@5 71.094 (70.939)
Epoch: [12][4060/5005] Time 0.621 (0.614) Data 0.001 (0.001) Loss 2.3398 (2.4323) Prec@1 47.656 (45.617) Prec@5 70.703 (70.937)
Epoch: [12][4070/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.2556 (2.4323) Prec@1 47.656 (45.618) Prec@5 75.391 (70.939)
Epoch: [12][4080/5005] Time 0.606 (0.614) Data 0.001 (0.001) Loss 2.4587 (2.4322) Prec@1 45.312 (45.618) Prec@5 70.312 (70.942)
Epoch: [12][4090/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 2.7735 (2.4322) Prec@1 39.844 (45.616) Prec@5 64.844 (70.943)
Epoch: [12][4100/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.1125 (2.4323) Prec@1 52.734 (45.614) Prec@5 74.219 (70.939)
Epoch: [12][4110/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.1838 (2.4321) Prec@1 50.000 (45.620) Prec@5 74.609 (70.943)
Epoch: [12][4120/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.3445 (2.4318) Prec@1 48.438 (45.628) Prec@5 71.094 (70.946)
Epoch: [12][4130/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.1583 (2.4317) Prec@1 48.438 (45.629) Prec@5 76.562 (70.947)
Epoch: [12][4140/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.3111 (2.4319) Prec@1 50.000 (45.628) Prec@5 71.484 (70.944)
Epoch: [12][4150/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3508 (2.4318) Prec@1 44.922 (45.626) Prec@5 72.266 (70.944)
Epoch: [12][4160/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.2084 (2.4318) Prec@1 48.828 (45.627) Prec@5 75.391 (70.945)
Epoch: [12][4170/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4667 (2.4319) Prec@1 42.969 (45.625) Prec@5 73.047 (70.943)
Epoch: [12][4180/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4146 (2.4318) Prec@1 44.922 (45.627) Prec@5 70.703 (70.946)
Epoch: [12][4190/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.2591 (2.4317) Prec@1 48.438 (45.628) Prec@5 76.172 (70.947)
Epoch: [12][4200/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5354 (2.4317) Prec@1 42.969 (45.631) Prec@5 68.750 (70.947)
Epoch: [12][4210/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4345 (2.4317) Prec@1 45.312 (45.630) Prec@5 71.484 (70.946)
Epoch: [12][4220/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.3666 (2.4316) Prec@1 46.484 (45.630) Prec@5 73.438 (70.947)
Epoch: [12][4230/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.1921 (2.4318) Prec@1 52.734 (45.629) Prec@5 76.172 (70.946)
Epoch: [12][4240/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.3412 (2.4316) Prec@1 47.656 (45.634) Prec@5 74.609 (70.950)
Epoch: [12][4250/5005] Time 0.618 (0.614) Data 0.001 (0.001) Loss 2.3783 (2.4316) Prec@1 46.875 (45.634) Prec@5 70.312 (70.949)
Epoch: [12][4260/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.8699 (2.4316) Prec@1 40.234 (45.634) Prec@5 66.406 (70.951)
Epoch: [12][4270/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.4307 (2.4314) Prec@1 47.656 (45.636) Prec@5 69.531 (70.953)
Epoch: [12][4280/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4549 (2.4314) Prec@1 41.797 (45.637) Prec@5 73.828 (70.953)
Epoch: [12][4290/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.2364 (2.4313) Prec@1 46.875 (45.633) Prec@5 77.344 (70.956)
Epoch: [12][4300/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.4351 (2.4314) Prec@1 48.047 (45.634) Prec@5 71.484 (70.956)
Epoch: [12][4310/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4501 (2.4312) Prec@1 44.922 (45.636) Prec@5 69.141 (70.958)
Epoch: [12][4320/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3351 (2.4312) Prec@1 46.484 (45.635) Prec@5 71.875 (70.957)
Epoch: [12][4330/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.4116 (2.4311) Prec@1 41.797 (45.638) Prec@5 69.531 (70.958)
Epoch: [12][4340/5005] Time 0.627 (0.614) Data 0.001 (0.001) Loss 2.4941 (2.4311) Prec@1 42.578 (45.637) Prec@5 69.141 (70.957)
Epoch: [12][4350/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 2.6004 (2.4311) Prec@1 47.656 (45.638) Prec@5 67.969 (70.958)
Epoch: [12][4360/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 2.4076 (2.4311) Prec@1 46.484 (45.638) Prec@5 70.703 (70.960)
Epoch: [12][4370/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3335 (2.4311) Prec@1 46.875 (45.642) Prec@5 71.484 (70.961)
Epoch: [12][4380/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.0987 (2.4310) Prec@1 48.828 (45.644) Prec@5 76.172 (70.963)
Epoch: [12][4390/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.3953 (2.4311) Prec@1 49.609 (45.643) Prec@5 70.703 (70.960)
Epoch: [12][4400/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.1436 (2.4312) Prec@1 49.219 (45.641) Prec@5 75.391 (70.960)
Epoch: [12][4410/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.7120 (2.4313) Prec@1 43.750 (45.641) Prec@5 64.453 (70.959)
Epoch: [12][4420/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.3720 (2.4311) Prec@1 45.703 (45.646) Prec@5 71.875 (70.961)
Epoch: [12][4430/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5737 (2.4309) Prec@1 40.625 (45.647) Prec@5 69.141 (70.963)
Epoch: [12][4440/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.6258 (2.4308) Prec@1 42.578 (45.649) Prec@5 66.797 (70.966)
Epoch: [12][4450/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.7619 (2.4308) Prec@1 42.578 (45.648) Prec@5 66.797 (70.964)
Epoch: [12][4460/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.4169 (2.4308) Prec@1 43.359 (45.650) Prec@5 71.484 (70.962)
Epoch: [12][4470/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4278 (2.4308) Prec@1 47.266 (45.652) Prec@5 70.703 (70.961)
Epoch: [12][4480/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.3379 (2.4309) Prec@1 44.531 (45.650) Prec@5 73.047 (70.960)
Epoch: [12][4490/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4810 (2.4308) Prec@1 45.312 (45.653) Prec@5 70.703 (70.963)
Epoch: [12][4500/5005] Time 0.618 (0.614) Data 0.001 (0.001) Loss 2.4166 (2.4308) Prec@1 46.484 (45.652) Prec@5 71.484 (70.964)
Epoch: [12][4510/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.4272 (2.4307) Prec@1 49.219 (45.656) Prec@5 68.359 (70.963)
Epoch: [12][4520/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.4326 (2.4307) Prec@1 44.922 (45.655) Prec@5 70.703 (70.961)
Epoch: [12][4530/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.3372 (2.4307) Prec@1 44.141 (45.658) Prec@5 73.438 (70.963)
Epoch: [12][4540/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.5724 (2.4307) Prec@1 43.359 (45.661) Prec@5 69.531 (70.962)
Epoch: [12][4550/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5792 (2.4307) Prec@1 42.578 (45.659) Prec@5 69.531 (70.963)
Epoch: [12][4560/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.5633 (2.4307) Prec@1 43.359 (45.661) Prec@5 71.875 (70.963)
Epoch: [12][4570/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3778 (2.4309) Prec@1 46.875 (45.658) Prec@5 74.219 (70.961)
Epoch: [12][4580/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.6344 (2.4310) Prec@1 39.062 (45.658) Prec@5 67.578 (70.958)
Epoch: [12][4590/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.3064 (2.4308) Prec@1 45.703 (45.660) Prec@5 72.266 (70.963)
Epoch: [12][4600/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4625 (2.4309) Prec@1 47.656 (45.660) Prec@5 71.484 (70.961)
Epoch: [12][4610/5005] Time 0.624 (0.614) Data 0.001 (0.001) Loss 2.2493 (2.4310) Prec@1 50.000 (45.658) Prec@5 74.609 (70.961)
Epoch: [12][4620/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.5323 (2.4311) Prec@1 44.531 (45.658) Prec@5 69.141 (70.959)
Epoch: [12][4630/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4863 (2.4311) Prec@1 42.578 (45.657) Prec@5 70.703 (70.958)
Epoch: [12][4640/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4300 (2.4309) Prec@1 44.922 (45.662) Prec@5 71.875 (70.963)
Epoch: [12][4650/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4861 (2.4308) Prec@1 44.922 (45.662) Prec@5 71.875 (70.964)
Epoch: [12][4660/5005] Time 0.603 (0.614) Data 0.000 (0.001) Loss 2.3536 (2.4307) Prec@1 44.141 (45.663) Prec@5 70.312 (70.964)
Epoch: [12][4670/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6000 (2.4308) Prec@1 42.969 (45.660) Prec@5 66.797 (70.963)
Epoch: [12][4680/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.4430 (2.4307) Prec@1 46.094 (45.666) Prec@5 70.703 (70.966)
Epoch: [12][4690/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 2.2639 (2.4306) Prec@1 44.922 (45.667) Prec@5 76.172 (70.969)
Epoch: [12][4700/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 2.3222 (2.4306) Prec@1 46.875 (45.668) Prec@5 71.875 (70.970)
Epoch: [12][4710/5005] Time 0.612 (0.614) Data 0.001 (0.001) Loss 2.4632 (2.4306) Prec@1 43.359 (45.666) Prec@5 69.141 (70.969)
Epoch: [12][4720/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5194 (2.4305) Prec@1 48.047 (45.667) Prec@5 70.703 (70.972)
Epoch: [12][4730/5005] Time 0.617 (0.614) Data 0.001 (0.001) Loss 2.5261 (2.4305) Prec@1 44.922 (45.668) Prec@5 73.047 (70.974)
Epoch: [12][4740/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5234 (2.4305) Prec@1 41.016 (45.670) Prec@5 69.922 (70.975)
Epoch: [12][4750/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.3099 (2.4303) Prec@1 49.609 (45.672) Prec@5 69.531 (70.978)
Epoch: [12][4760/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3710 (2.4302) Prec@1 49.609 (45.674) Prec@5 74.609 (70.981)
Epoch: [12][4770/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.3993 (2.4301) Prec@1 47.656 (45.674) Prec@5 74.219 (70.985)
Epoch: [12][4780/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.1857 (2.4300) Prec@1 51.562 (45.676) Prec@5 72.266 (70.986)
Epoch: [12][4790/5005] Time 0.620 (0.614) Data 0.001 (0.001) Loss 2.3792 (2.4299) Prec@1 44.141 (45.678) Prec@5 70.703 (70.988)
Epoch: [12][4800/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.3322 (2.4299) Prec@1 47.656 (45.680) Prec@5 69.922 (70.986)
Epoch: [12][4810/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3651 (2.4299) Prec@1 43.750 (45.681) Prec@5 68.359 (70.986)
Epoch: [12][4820/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.2819 (2.4297) Prec@1 50.000 (45.682) Prec@5 75.000 (70.988)
Epoch: [12][4830/5005] Time 0.615 (0.614) Data 0.001 (0.001) Loss 2.3771 (2.4298) Prec@1 45.312 (45.679) Prec@5 70.703 (70.989)
Epoch: [12][4840/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4219 (2.4299) Prec@1 44.922 (45.677) Prec@5 70.703 (70.988)
Epoch: [12][4850/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3805 (2.4298) Prec@1 44.141 (45.680) Prec@5 70.703 (70.988)
Epoch: [12][4860/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.5720 (2.4298) Prec@1 44.141 (45.682) Prec@5 67.188 (70.989)
Epoch: [12][4870/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2043 (2.4297) Prec@1 50.000 (45.683) Prec@5 75.781 (70.989)
Epoch: [12][4880/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5575 (2.4298) Prec@1 43.359 (45.679) Prec@5 71.484 (70.989)
Epoch: [12][4890/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3158 (2.4298) Prec@1 41.797 (45.678) Prec@5 72.266 (70.987)
Epoch: [12][4900/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.5864 (2.4299) Prec@1 44.922 (45.677) Prec@5 71.094 (70.985)
Epoch: [12][4910/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.3233 (2.4298) Prec@1 47.266 (45.676) Prec@5 69.531 (70.988)
Epoch: [12][4920/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5612 (2.4298) Prec@1 41.797 (45.675) Prec@5 68.359 (70.986)
Epoch: [12][4930/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4661 (2.4299) Prec@1 43.359 (45.676) Prec@5 71.484 (70.985)
Epoch: [12][4940/5005] Time 0.621 (0.614) Data 0.001 (0.001) Loss 2.6173 (2.4298) Prec@1 45.312 (45.680) Prec@5 71.484 (70.985)
Epoch: [12][4950/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.5505 (2.4299) Prec@1 41.016 (45.679) Prec@5 67.969 (70.983)
Epoch: [12][4960/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3993 (2.4300) Prec@1 46.094 (45.679) Prec@5 70.703 (70.981)
Epoch: [12][4970/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.5206 (2.4301) Prec@1 46.094 (45.675) Prec@5 65.625 (70.980)
Epoch: [12][4980/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.2330 (2.4301) Prec@1 46.484 (45.678) Prec@5 75.391 (70.978)
Epoch: [12][4990/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.3677 (2.4302) Prec@1 41.797 (45.677) Prec@5 71.094 (70.975)
Epoch: [12][5000/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.4499 (2.4301) Prec@1 48.828 (45.680) Prec@5 70.703 (70.977)
Test: [0/196] Time 5.390 (5.390) Loss 1.2412 (1.2412) Prec@1 65.625 (65.625) Prec@5 86.328 (86.328)
Test: [10/196] Time 0.202 (0.680) Loss 1.7821 (1.3782) Prec@1 51.172 (64.737) Prec@5 87.109 (87.429)
Test: [20/196] Time 0.203 (0.453) Loss 1.4431 (1.3611) Prec@1 67.578 (65.420) Prec@5 85.156 (87.221)
Test: [30/196] Time 0.212 (0.373) Loss 1.2609 (1.3326) Prec@1 64.453 (66.368) Prec@5 89.844 (87.525)
Test: [40/196] Time 0.202 (0.331) Loss 1.4678 (1.4006) Prec@1 58.984 (63.538) Prec@5 87.891 (87.386)
Test: [50/196] Time 0.205 (0.307) Loss 1.3949 (1.3899) Prec@1 65.234 (63.312) Prec@5 88.672 (87.753)
Test: [60/196] Time 0.203 (0.290) Loss 1.7786 (1.4055) Prec@1 57.422 (62.827) Prec@5 83.203 (87.711)
Test: [70/196] Time 0.202 (0.278) Loss 1.3996 (1.3884) Prec@1 66.406 (63.485) Prec@5 86.328 (87.847)
Test: [80/196] Time 0.202 (0.269) Loss 2.4834 (1.4250) Prec@1 42.188 (62.809) Prec@5 73.047 (87.230)
Test: [90/196] Time 0.202 (0.262) Loss 3.3775 (1.5185) Prec@1 25.000 (61.165) Prec@5 60.547 (85.834)
Test: [100/196] Time 0.202 (0.256) Loss 2.6942 (1.5948) Prec@1 34.766 (59.731) Prec@5 66.797 (84.642)
Test: [110/196] Time 0.203 (0.251) Loss 1.7154 (1.6307) Prec@1 62.109 (59.319) Prec@5 79.297 (83.988)
Test: [120/196] Time 0.210 (0.248) Loss 2.6771 (1.6679) Prec@1 43.359 (58.771) Prec@5 69.141 (83.306)
Test: [130/196] Time 0.203 (0.244) Loss 1.6647 (1.7173) Prec@1 62.891 (57.878) Prec@5 83.203 (82.595)
Test: [140/196] Time 0.211 (0.242) Loss 2.3342 (1.7594) Prec@1 47.266 (57.134) Prec@5 73.438 (81.901)
Test: [150/196] Time 0.202 (0.239) Loss 2.2660 (1.8015) Prec@1 51.562 (56.475) Prec@5 73.828 (81.242)
Test: [160/196] Time 0.202 (0.237) Loss 1.6799 (1.8256) Prec@1 62.891 (56.134) Prec@5 82.031 (80.857)
Test: [170/196] Time 0.201 (0.235) Loss 1.2943 (1.8579) Prec@1 62.500 (55.514) Prec@5 88.672 (80.295)
Test: [180/196] Time 0.204 (0.234) Loss 1.8032 (1.8789) Prec@1 52.344 (55.089) Prec@5 84.375 (79.979)
Test: [190/196] Time 0.201 (0.232) Loss 1.6949 (1.8732) Prec@1 56.641 (55.152) Prec@5 85.547 (80.133)
* Prec@1 55.444 Prec@5 80.256
Epoch: [13][0/5005] Time 4.352 (4.352) Data 4.083 (4.083) Loss 2.4132 (2.4132) Prec@1 45.703 (45.703) Prec@5 71.094 (71.094)
Epoch: [13][10/5005] Time 0.634 (0.954) Data 0.000 (0.378) Loss 2.1602 (2.3535) Prec@1 47.266 (47.017) Prec@5 76.172 (71.768)
Epoch: [13][20/5005] Time 0.603 (0.789) Data 0.000 (0.198) Loss 2.3021 (2.3697) Prec@1 49.219 (46.763) Prec@5 73.047 (71.670)
Epoch: [13][30/5005] Time 0.614 (0.732) Data 0.000 (0.134) Loss 2.2430 (2.3634) Prec@1 50.000 (46.812) Prec@5 74.219 (71.799)
Epoch: [13][40/5005] Time 0.612 (0.703) Data 0.000 (0.102) Loss 2.2926 (2.3589) Prec@1 50.391 (47.180) Prec@5 71.484 (71.770)
Epoch: [13][50/5005] Time 0.615 (0.685) Data 0.000 (0.082) Loss 2.4536 (2.3662) Prec@1 44.922 (47.066) Prec@5 67.969 (71.454)
Epoch: [13][60/5005] Time 0.615 (0.673) Data 0.000 (0.069) Loss 2.3229 (2.3659) Prec@1 45.703 (47.041) Prec@5 76.562 (71.600)
Epoch: [13][70/5005] Time 0.615 (0.665) Data 0.000 (0.059) Loss 2.4268 (2.3569) Prec@1 44.922 (47.161) Prec@5 68.750 (71.671)
Epoch: [13][80/5005] Time 0.609 (0.659) Data 0.000 (0.052) Loss 2.4748 (2.3597) Prec@1 45.703 (47.203) Prec@5 69.531 (71.648)
Epoch: [13][90/5005] Time 0.620 (0.654) Data 0.000 (0.046) Loss 2.3498 (2.3606) Prec@1 42.969 (47.167) Prec@5 71.484 (71.647)
Epoch: [13][100/5005] Time 0.608 (0.650) Data 0.000 (0.042) Loss 2.5396 (2.3625) Prec@1 42.188 (47.111) Prec@5 68.750 (71.593)
Epoch: [13][110/5005] Time 0.620 (0.646) Data 0.000 (0.038) Loss 2.4273 (2.3573) Prec@1 45.312 (47.142) Prec@5 71.484 (71.734)
Epoch: [13][120/5005] Time 0.610 (0.644) Data 0.000 (0.035) Loss 2.4481 (2.3579) Prec@1 45.312 (47.020) Prec@5 72.266 (71.743)
Epoch: [13][130/5005] Time 0.616 (0.641) Data 0.000 (0.032) Loss 2.3961 (2.3585) Prec@1 48.438 (47.024) Prec@5 71.875 (71.717)
Epoch: [13][140/5005] Time 0.615 (0.640) Data 0.000 (0.030) Loss 2.3832 (2.3612) Prec@1 49.219 (47.016) Prec@5 72.266 (71.717)
Epoch: [13][150/5005] Time 0.620 (0.638) Data 0.000 (0.028) Loss 2.3644 (2.3663) Prec@1 46.094 (46.883) Prec@5 72.656 (71.665)
Epoch: [13][160/5005] Time 0.617 (0.636) Data 0.000 (0.026) Loss 2.5277 (2.3682) Prec@1 43.750 (46.897) Prec@5 70.703 (71.674)
Epoch: [13][170/5005] Time 0.614 (0.635) Data 0.000 (0.025) Loss 2.4721 (2.3685) Prec@1 47.656 (46.905) Prec@5 70.703 (71.685)
Epoch: [13][180/5005] Time 0.622 (0.634) Data 0.000 (0.023) Loss 2.3382 (2.3698) Prec@1 50.391 (46.894) Prec@5 72.656 (71.689)
Epoch: [13][190/5005] Time 0.613 (0.633) Data 0.000 (0.022) Loss 2.4655 (2.3694) Prec@1 44.141 (46.855) Prec@5 70.312 (71.689)
Epoch: [13][200/5005] Time 0.611 (0.632) Data 0.000 (0.021) Loss 2.4401 (2.3672) Prec@1 47.266 (46.879) Prec@5 71.484 (71.747)
Epoch: [13][210/5005] Time 0.613 (0.631) Data 0.000 (0.020) Loss 2.3424 (2.3642) Prec@1 48.828 (46.901) Prec@5 74.219 (71.831)
Epoch: [13][220/5005] Time 0.618 (0.630) Data 0.000 (0.019) Loss 2.3654 (2.3629) Prec@1 47.266 (46.949) Prec@5 74.219 (71.863)
Epoch: [13][230/5005] Time 0.613 (0.629) Data 0.000 (0.018) Loss 2.4838 (2.3645) Prec@1 41.406 (46.927) Prec@5 71.484 (71.833)
Epoch: [13][240/5005] Time 0.617 (0.629) Data 0.000 (0.018) Loss 2.3964 (2.3641) Prec@1 44.922 (46.930) Prec@5 67.188 (71.823)
Epoch: [13][250/5005] Time 0.616 (0.628) Data 0.000 (0.017) Loss 2.3790 (2.3612) Prec@1 50.391 (47.024) Prec@5 70.312 (71.884)
Epoch: [13][260/5005] Time 0.614 (0.628) Data 0.000 (0.016) Loss 2.1691 (2.3624) Prec@1 52.734 (47.044) Prec@5 75.000 (71.885)
Epoch: [13][270/5005] Time 0.621 (0.627) Data 0.000 (0.016) Loss 2.6522 (2.3624) Prec@1 43.359 (47.054) Prec@5 67.578 (71.911)
Epoch: [13][280/5005] Time 0.616 (0.627) Data 0.000 (0.015) Loss 2.2890 (2.3656) Prec@1 52.734 (47.013) Prec@5 71.094 (71.864)
Epoch: [13][290/5005] Time 0.611 (0.626) Data 0.000 (0.015) Loss 2.4162 (2.3675) Prec@1 46.875 (46.954) Prec@5 74.219 (71.854)
Epoch: [13][300/5005] Time 0.620 (0.626) Data 0.000 (0.014) Loss 2.3173 (2.3685) Prec@1 47.266 (46.900) Prec@5 74.219 (71.849)
Epoch: [13][310/5005] Time 0.617 (0.626) Data 0.000 (0.014) Loss 2.5575 (2.3706) Prec@1 37.891 (46.854) Prec@5 69.922 (71.830)
Epoch: [13][320/5005] Time 0.614 (0.625) Data 0.000 (0.013) Loss 2.5879 (2.3733) Prec@1 43.750 (46.809) Prec@5 66.016 (71.773)
Epoch: [13][330/5005] Time 0.611 (0.625) Data 0.000 (0.013) Loss 2.2575 (2.3749) Prec@1 51.172 (46.768) Prec@5 74.609 (71.770)
Epoch: [13][340/5005] Time 0.612 (0.624) Data 0.000 (0.013) Loss 2.2679 (2.3759) Prec@1 46.875 (46.732) Prec@5 75.391 (71.773)
Epoch: [13][350/5005] Time 0.612 (0.624) Data 0.000 (0.012) Loss 2.1029 (2.3751) Prec@1 53.516 (46.753) Prec@5 74.609 (71.795)
Epoch: [13][360/5005] Time 0.614 (0.624) Data 0.000 (0.012) Loss 2.3918 (2.3735) Prec@1 46.094 (46.762) Prec@5 67.969 (71.811)
Epoch: [13][370/5005] Time 0.614 (0.624) Data 0.000 (0.012) Loss 2.2777 (2.3748) Prec@1 48.047 (46.745) Prec@5 74.609 (71.799)
Epoch: [13][380/5005] Time 0.620 (0.623) Data 0.000 (0.011) Loss 2.5001 (2.3741) Prec@1 44.922 (46.761) Prec@5 67.969 (71.801)
Epoch: [13][390/5005] Time 0.612 (0.623) Data 0.000 (0.011) Loss 2.2934 (2.3719) Prec@1 44.531 (46.798) Prec@5 73.438 (71.817)
Epoch: [13][400/5005] Time 0.621 (0.623) Data 0.000 (0.011) Loss 2.4102 (2.3736) Prec@1 45.703 (46.760) Prec@5 71.875 (71.800)
Epoch: [13][410/5005] Time 0.616 (0.623) Data 0.000 (0.011) Loss 2.1890 (2.3737) Prec@1 48.828 (46.723) Prec@5 75.000 (71.799)
Epoch: [13][420/5005] Time 0.615 (0.623) Data 0.000 (0.010) Loss 2.3509 (2.3725) Prec@1 43.359 (46.723) Prec@5 72.266 (71.843)
Epoch: [13][430/5005] Time 0.607 (0.622) Data 0.000 (0.010) Loss 2.2332 (2.3733) Prec@1 50.391 (46.711) Prec@5 75.000 (71.835)
Epoch: [13][440/5005] Time 0.620 (0.622) Data 0.000 (0.010) Loss 2.2865 (2.3743) Prec@1 47.656 (46.682) Prec@5 71.094 (71.837)
Epoch: [13][450/5005] Time 0.615 (0.622) Data 0.000 (0.010) Loss 2.5295 (2.3744) Prec@1 46.094 (46.687) Prec@5 64.844 (71.809)
Epoch: [13][460/5005] Time 0.613 (0.622) Data 0.000 (0.009) Loss 2.7367 (2.3744) Prec@1 41.406 (46.691) Prec@5 63.672 (71.806)
Epoch: [13][470/5005] Time 0.610 (0.622) Data 0.001 (0.009) Loss 2.4612 (2.3752) Prec@1 44.531 (46.650) Prec@5 74.609 (71.809)
Epoch: [13][480/5005] Time 0.616 (0.621) Data 0.000 (0.009) Loss 2.4393 (2.3745) Prec@1 47.656 (46.661) Prec@5 71.484 (71.808)
Epoch: [13][490/5005] Time 0.616 (0.621) Data 0.000 (0.009) Loss 2.3675 (2.3746) Prec@1 46.484 (46.697) Prec@5 71.094 (71.814)
Epoch: [13][500/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 2.3992 (2.3752) Prec@1 48.828 (46.684) Prec@5 72.266 (71.795)
Epoch: [13][510/5005] Time 0.614 (0.621) Data 0.000 (0.009) Loss 2.1934 (2.3736) Prec@1 48.047 (46.707) Prec@5 74.609 (71.822)
Epoch: [13][520/5005] Time 0.618 (0.621) Data 0.000 (0.008) Loss 2.5080 (2.3736) Prec@1 41.797 (46.682) Prec@5 71.094 (71.807)
Epoch: [13][530/5005] Time 0.611 (0.621) Data 0.000 (0.008) Loss 2.4091 (2.3750) Prec@1 47.656 (46.693) Prec@5 71.875 (71.787)
Epoch: [13][540/5005] Time 0.609 (0.621) Data 0.000 (0.008) Loss 2.2857 (2.3744) Prec@1 51.953 (46.713) Prec@5 73.438 (71.791)
Epoch: [13][550/5005] Time 0.621 (0.620) Data 0.000 (0.008) Loss 2.6104 (2.3770) Prec@1 41.016 (46.660) Prec@5 66.406 (71.747)
Epoch: [13][560/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 2.0220 (2.3767) Prec@1 52.734 (46.678) Prec@5 77.734 (71.757)
Epoch: [13][570/5005] Time 0.614 (0.620) Data 0.000 (0.008) Loss 2.2621 (2.3753) Prec@1 46.875 (46.690) Prec@5 75.000 (71.776)
Epoch: [13][580/5005] Time 0.611 (0.620) Data 0.000 (0.008) Loss 2.4383 (2.3773) Prec@1 48.047 (46.677) Prec@5 71.875 (71.743)
Epoch: [13][590/5005] Time 0.616 (0.620) Data 0.000 (0.007) Loss 2.5656 (2.3773) Prec@1 44.531 (46.685) Prec@5 66.406 (71.727)
Epoch: [13][600/5005] Time 0.612 (0.620) Data 0.000 (0.007) Loss 2.3812 (2.3762) Prec@1 44.531 (46.705) Prec@5 71.094 (71.740)
Epoch: [13][610/5005] Time 0.605 (0.620) Data 0.000 (0.007) Loss 2.3844 (2.3769) Prec@1 42.969 (46.686) Prec@5 71.484 (71.734)
Epoch: [13][620/5005] Time 0.617 (0.620) Data 0.000 (0.007) Loss 2.2096 (2.3769) Prec@1 43.359 (46.691) Prec@5 75.391 (71.735)
Epoch: [13][630/5005] Time 0.616 (0.620) Data 0.000 (0.007) Loss 2.4769 (2.3775) Prec@1 46.484 (46.676) Prec@5 68.359 (71.730)
Epoch: [13][640/5005] Time 0.616 (0.620) Data 0.000 (0.007) Loss 2.5849 (2.3766) Prec@1 42.188 (46.692) Prec@5 69.531 (71.750)
Epoch: [13][650/5005] Time 0.614 (0.619) Data 0.000 (0.007) Loss 2.1202 (2.3762) Prec@1 51.172 (46.711) Prec@5 75.000 (71.758)
Epoch: [13][660/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 2.3670 (2.3771) Prec@1 47.656 (46.693) Prec@5 70.703 (71.744)
Epoch: [13][670/5005] Time 0.612 (0.619) Data 0.000 (0.007) Loss 2.5003 (2.3779) Prec@1 43.359 (46.676) Prec@5 67.969 (71.729)
Epoch: [13][680/5005] Time 0.613 (0.619) Data 0.000 (0.007) Loss 2.2246 (2.3791) Prec@1 48.047 (46.644) Prec@5 75.391 (71.716)
Epoch: [13][690/5005] Time 0.608 (0.619) Data 0.000 (0.006) Loss 2.3198 (2.3783) Prec@1 49.609 (46.653) Prec@5 76.172 (71.735)
Epoch: [13][700/5005] Time 0.619 (0.619) Data 0.000 (0.006) Loss 2.2909 (2.3784) Prec@1 44.922 (46.631) Prec@5 73.047 (71.742)
Epoch: [13][710/5005] Time 0.611 (0.619) Data 0.000 (0.006) Loss 2.2979 (2.3780) Prec@1 46.484 (46.645) Prec@5 72.656 (71.750)
Epoch: [13][720/5005] Time 0.607 (0.619) Data 0.000 (0.006) Loss 2.3468 (2.3783) Prec@1 48.047 (46.631) Prec@5 72.656 (71.755)
Epoch: [13][730/5005] Time 0.619 (0.619) Data 0.000 (0.006) Loss 2.5826 (2.3781) Prec@1 44.531 (46.639) Prec@5 69.531 (71.760)
Epoch: [13][740/5005] Time 0.613 (0.619) Data 0.000 (0.006) Loss 2.2139 (2.3777) Prec@1 46.094 (46.660) Prec@5 75.781 (71.766)
Epoch: [13][750/5005] Time 0.608 (0.619) Data 0.000 (0.006) Loss 2.4907 (2.3769) Prec@1 43.359 (46.665) Prec@5 70.703 (71.774)
Epoch: [13][760/5005] Time 0.614 (0.619) Data 0.000 (0.006) Loss 2.3779 (2.3780) Prec@1 46.094 (46.661) Prec@5 72.266 (71.754)
Epoch: [13][770/5005] Time 0.615 (0.618) Data 0.000 (0.006) Loss 2.5113 (2.3778) Prec@1 47.266 (46.657) Prec@5 68.359 (71.752)
Epoch: [13][780/5005] Time 0.620 (0.618) Data 0.000 (0.006) Loss 2.5851 (2.3785) Prec@1 41.016 (46.635) Prec@5 71.094 (71.746)
Epoch: [13][790/5005] Time 0.618 (0.618) Data 0.000 (0.006) Loss 2.4967 (2.3798) Prec@1 45.312 (46.608) Prec@5 69.141 (71.724)
Epoch: [13][800/5005] Time 0.612 (0.618) Data 0.000 (0.006) Loss 2.1697 (2.3800) Prec@1 49.609 (46.602) Prec@5 76.172 (71.723)
Epoch: [13][810/5005] Time 0.608 (0.618) Data 0.000 (0.006) Loss 2.2360 (2.3788) Prec@1 48.438 (46.626) Prec@5 73.828 (71.733)
Epoch: [13][820/5005] Time 0.613 (0.618) Data 0.000 (0.006) Loss 2.2703 (2.3785) Prec@1 48.047 (46.633) Prec@5 74.609 (71.744)
Epoch: [13][830/5005] Time 0.616 (0.618) Data 0.000 (0.005) Loss 2.1017 (2.3778) Prec@1 50.781 (46.641) Prec@5 76.562 (71.749)
Epoch: [13][840/5005] Time 0.620 (0.618) Data 0.000 (0.005) Loss 2.1242 (2.3775) Prec@1 52.734 (46.643) Prec@5 76.953 (71.762)
Epoch: [13][850/5005] Time 0.593 (0.618) Data 0.000 (0.005) Loss 2.3098 (2.3777) Prec@1 48.828 (46.636) Prec@5 74.609 (71.762)
Epoch: [13][860/5005] Time 0.612 (0.618) Data 0.001 (0.005) Loss 2.1999 (2.3777) Prec@1 49.609 (46.624) Prec@5 73.438 (71.754)
Epoch: [13][870/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 2.2235 (2.3775) Prec@1 47.656 (46.621) Prec@5 77.734 (71.754)
Epoch: [13][880/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 2.3490 (2.3783) Prec@1 46.094 (46.606) Prec@5 75.391 (71.748)
Epoch: [13][890/5005] Time 0.611 (0.618) Data 0.000 (0.005) Loss 2.1771 (2.3783) Prec@1 47.656 (46.597) Prec@5 74.219 (71.742)
Epoch: [13][900/5005] Time 0.608 (0.618) Data 0.000 (0.005) Loss 2.4732 (2.3785) Prec@1 46.484 (46.605) Prec@5 71.875 (71.737)
Epoch: [13][910/5005] Time 0.609 (0.618) Data 0.000 (0.005) Loss 2.5864 (2.3785) Prec@1 49.609 (46.607) Prec@5 71.094 (71.741)
Epoch: [13][920/5005] Time 0.613 (0.618) Data 0.000 (0.005) Loss 2.1970 (2.3783) Prec@1 50.000 (46.609) Prec@5 73.828 (71.752)
Epoch: [13][930/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 2.5144 (2.3781) Prec@1 45.312 (46.624) Prec@5 69.531 (71.764)
Epoch: [13][940/5005] Time 0.614 (0.618) Data 0.000 (0.005) Loss 2.3608 (2.3786) Prec@1 46.484 (46.613) Prec@5 74.219 (71.766)
Epoch: [13][950/5005] Time 0.617 (0.618) Data 0.000 (0.005) Loss 2.4536 (2.3789) Prec@1 46.484 (46.611) Prec@5 71.875 (71.761)
Epoch: [13][960/5005] Time 0.611 (0.617) Data 0.000 (0.005) Loss 2.5378 (2.3788) Prec@1 42.969 (46.615) Prec@5 69.531 (71.764)
Epoch: [13][970/5005] Time 0.612 (0.617) Data 0.000 (0.005) Loss 2.4523 (2.3785) Prec@1 44.922 (46.630) Prec@5 71.484 (71.774)
Epoch: [13][980/5005] Time 0.610 (0.617) Data 0.000 (0.005) Loss 2.3190 (2.3792) Prec@1 47.266 (46.610) Prec@5 74.219 (71.764)
Epoch: [13][990/5005] Time 0.607 (0.617) Data 0.000 (0.005) Loss 2.2359 (2.3792) Prec@1 49.219 (46.616) Prec@5 71.094 (71.754)
Epoch: [13][1000/5005] Time 0.615 (0.617) Data 0.001 (0.005) Loss 2.5169 (2.3798) Prec@1 43.359 (46.596) Prec@5 69.922 (71.746)
Epoch: [13][1010/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.4736 (2.3790) Prec@1 45.703 (46.610) Prec@5 67.188 (71.756)
Epoch: [13][1020/5005] Time 0.613 (0.617) Data 0.000 (0.005) Loss 2.3423 (2.3786) Prec@1 53.125 (46.624) Prec@5 68.750 (71.754)
Epoch: [13][1030/5005] Time 0.611 (0.617) Data 0.001 (0.004) Loss 2.4556 (2.3776) Prec@1 42.969 (46.650) Prec@5 72.656 (71.776)
Epoch: [13][1040/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.5057 (2.3776) Prec@1 41.406 (46.639) Prec@5 69.141 (71.777)
Epoch: [13][1050/5005] Time 0.612 (0.617) Data 0.000 (0.004) Loss 2.3300 (2.3776) Prec@1 44.531 (46.635) Prec@5 71.875 (71.771)
Epoch: [13][1060/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.2617 (2.3778) Prec@1 49.219 (46.637) Prec@5 74.219 (71.777)
Epoch: [13][1070/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 2.4626 (2.3786) Prec@1 46.094 (46.627) Prec@5 69.922 (71.765)
Epoch: [13][1080/5005] Time 0.623 (0.617) Data 0.000 (0.004) Loss 2.3578 (2.3786) Prec@1 42.188 (46.621) Prec@5 71.094 (71.766)
Epoch: [13][1090/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.5001 (2.3785) Prec@1 45.703 (46.619) Prec@5 69.531 (71.767)
Epoch: [13][1100/5005] Time 0.608 (0.617) Data 0.000 (0.004) Loss 2.3150 (2.3790) Prec@1 45.703 (46.612) Prec@5 71.484 (71.758)
Epoch: [13][1110/5005] Time 0.608 (0.617) Data 0.001 (0.004) Loss 2.3345 (2.3794) Prec@1 44.141 (46.594) Prec@5 72.266 (71.753)
Epoch: [13][1120/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.6098 (2.3798) Prec@1 45.703 (46.587) Prec@5 66.406 (71.740)
Epoch: [13][1130/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 2.3137 (2.3796) Prec@1 49.219 (46.596) Prec@5 69.922 (71.739)
Epoch: [13][1140/5005] Time 0.620 (0.617) Data 0.000 (0.004) Loss 2.1417 (2.3795) Prec@1 50.391 (46.592) Prec@5 76.562 (71.731)
Epoch: [13][1150/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.3261 (2.3792) Prec@1 45.312 (46.587) Prec@5 75.781 (71.742)
Epoch: [13][1160/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.4334 (2.3792) Prec@1 46.094 (46.590) Prec@5 70.703 (71.742)
Epoch: [13][1170/5005] Time 0.609 (0.617) Data 0.000 (0.004) Loss 2.3911 (2.3791) Prec@1 45.312 (46.592) Prec@5 73.828 (71.748)
Epoch: [13][1180/5005] Time 0.612 (0.617) Data 0.001 (0.004) Loss 2.6247 (2.3793) Prec@1 44.141 (46.596) Prec@5 67.969 (71.745)
Epoch: [13][1190/5005] Time 0.619 (0.617) Data 0.000 (0.004) Loss 2.3242 (2.3793) Prec@1 44.922 (46.586) Prec@5 71.094 (71.740)
Epoch: [13][1200/5005] Time 0.614 (0.617) Data 0.000 (0.004) Loss 1.9567 (2.3779) Prec@1 51.562 (46.620) Prec@5 78.906 (71.765)
Epoch: [13][1210/5005] Time 0.617 (0.617) Data 0.000 (0.004) Loss 2.3469 (2.3776) Prec@1 45.703 (46.625) Prec@5 71.875 (71.770)
Epoch: [13][1220/5005] Time 0.613 (0.617) Data 0.000 (0.004) Loss 2.4196 (2.3774) Prec@1 44.141 (46.630) Prec@5 72.656 (71.777)
Epoch: [13][1230/5005] Time 0.605 (0.617) Data 0.000 (0.004) Loss 2.4005 (2.3775) Prec@1 49.219 (46.625) Prec@5 72.656 (71.782)
Epoch: [13][1240/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.2819 (2.3774) Prec@1 47.656 (46.620) Prec@5 71.875 (71.785)
Epoch: [13][1250/5005] Time 0.616 (0.617) Data 0.000 (0.004) Loss 2.4200 (2.3775) Prec@1 44.531 (46.621) Prec@5 72.266 (71.783)
Epoch: [13][1260/5005] Time 0.611 (0.617) Data 0.000 (0.004) Loss 2.4572 (2.3777) Prec@1 46.484 (46.621) Prec@5 72.266 (71.783)
Epoch: [13][1270/5005] Time 0.610 (0.617) Data 0.000 (0.004) Loss 2.5696 (2.3778) Prec@1 39.062 (46.615) Prec@5 67.578 (71.783)
Epoch: [13][1280/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.5390 (2.3782) Prec@1 42.188 (46.604) Prec@5 68.359 (71.775)
Epoch: [13][1290/5005] Time 0.622 (0.616) Data 0.000 (0.004) Loss 2.4691 (2.3783) Prec@1 46.484 (46.601) Prec@5 71.484 (71.773)
Epoch: [13][1300/5005] Time 0.618 (0.616) Data 0.000 (0.004) Loss 2.1501 (2.3778) Prec@1 50.781 (46.609) Prec@5 75.000 (71.778)
Epoch: [13][1310/5005] Time 0.609 (0.616) Data 0.000 (0.004) Loss 2.1287 (2.3777) Prec@1 52.344 (46.610) Prec@5 76.562 (71.774)
Epoch: [13][1320/5005] Time 0.620 (0.616) Data 0.000 (0.004) Loss 2.4089 (2.3773) Prec@1 48.047 (46.613) Prec@5 72.266 (71.780)
Epoch: [13][1330/5005] Time 0.612 (0.616) Data 0.000 (0.004) Loss 2.3868 (2.3771) Prec@1 44.141 (46.618) Prec@5 73.047 (71.783)
Epoch: [13][1340/5005] Time 0.615 (0.616) Data 0.000 (0.004) Loss 2.0342 (2.3767) Prec@1 51.953 (46.629) Prec@5 74.609 (71.786)
Epoch: [13][1350/5005] Time 0.621 (0.616) Data 0.000 (0.004) Loss 2.1977 (2.3764) Prec@1 46.484 (46.631) Prec@5 74.609 (71.790)
Epoch: [13][1360/5005] Time 0.607 (0.616) Data 0.000 (0.004) Loss 2.4575 (2.3763) Prec@1 47.656 (46.637) Prec@5 70.312 (71.796)
Epoch: [13][1370/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.5736 (2.3763) Prec@1 42.969 (46.633) Prec@5 67.969 (71.791)
Epoch: [13][1380/5005] Time 0.622 (0.616) Data 0.000 (0.003) Loss 2.5071 (2.3765) Prec@1 44.922 (46.644) Prec@5 74.219 (71.789)
Epoch: [13][1390/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.2562 (2.3762) Prec@1 50.781 (46.646) Prec@5 75.000 (71.795)
Epoch: [13][1400/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.1115 (2.3760) Prec@1 49.609 (46.645) Prec@5 75.781 (71.797)
Epoch: [13][1410/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.2779 (2.3759) Prec@1 50.391 (46.645) Prec@5 73.828 (71.796)
Epoch: [13][1420/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.3764 (2.3758) Prec@1 47.656 (46.649) Prec@5 75.391 (71.795)
Epoch: [13][1430/5005] Time 0.614 (0.616) Data 0.001 (0.003) Loss 2.6764 (2.3764) Prec@1 44.922 (46.638) Prec@5 65.234 (71.784)
Epoch: [13][1440/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.3128 (2.3762) Prec@1 47.656 (46.642) Prec@5 73.438 (71.786)
Epoch: [13][1450/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.4778 (2.3763) Prec@1 42.969 (46.639) Prec@5 73.047 (71.788)
Epoch: [13][1460/5005] Time 0.617 (0.616) Data 0.000 (0.003) Loss 2.7221 (2.3765) Prec@1 41.797 (46.632) Prec@5 63.672 (71.785)
Epoch: [13][1470/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.1630 (2.3764) Prec@1 45.703 (46.630) Prec@5 76.562 (71.786)
Epoch: [13][1480/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.4542 (2.3761) Prec@1 41.797 (46.629) Prec@5 70.703 (71.787)
Epoch: [13][1490/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.4753 (2.3765) Prec@1 44.922 (46.621) Prec@5 72.656 (71.783)
Epoch: [13][1500/5005] Time 0.607 (0.616) Data 0.001 (0.003) Loss 2.3839 (2.3758) Prec@1 48.047 (46.633) Prec@5 69.141 (71.794)
Epoch: [13][1510/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.4833 (2.3762) Prec@1 45.312 (46.626) Prec@5 71.094 (71.791)
Epoch: [13][1520/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.4994 (2.3764) Prec@1 42.969 (46.625) Prec@5 70.703 (71.791)
Epoch: [13][1530/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.3657 (2.3759) Prec@1 42.188 (46.621) Prec@5 73.047 (71.802)
Epoch: [13][1540/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.3201 (2.3760) Prec@1 45.312 (46.617) Prec@5 71.875 (71.796)
Epoch: [13][1550/5005] Time 0.608 (0.616) Data 0.000 (0.003) Loss 2.2851 (2.3764) Prec@1 47.266 (46.606) Prec@5 73.438 (71.788)
Epoch: [13][1560/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.5622 (2.3766) Prec@1 44.141 (46.599) Prec@5 69.531 (71.782)
Epoch: [13][1570/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.2911 (2.3764) Prec@1 46.875 (46.603) Prec@5 74.219 (71.784)
Epoch: [13][1580/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.5335 (2.3764) Prec@1 45.312 (46.605) Prec@5 70.312 (71.780)
Epoch: [13][1590/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.3824 (2.3763) Prec@1 44.922 (46.601) Prec@5 70.703 (71.781)
Epoch: [13][1600/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.4382 (2.3760) Prec@1 43.359 (46.603) Prec@5 68.750 (71.782)
Epoch: [13][1610/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.0051 (2.3762) Prec@1 51.562 (46.603) Prec@5 78.125 (71.776)
Epoch: [13][1620/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.1870 (2.3762) Prec@1 51.562 (46.609) Prec@5 76.953 (71.774)
Epoch: [13][1630/5005] Time 0.600 (0.616) Data 0.000 (0.003) Loss 2.2311 (2.3757) Prec@1 48.828 (46.622) Prec@5 73.047 (71.785)
Epoch: [13][1640/5005] Time 0.611 (0.616) Data 0.000 (0.003) Loss 2.4088 (2.3754) Prec@1 46.875 (46.633) Prec@5 71.875 (71.790)
Epoch: [13][1650/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 2.5876 (2.3758) Prec@1 43.750 (46.628) Prec@5 68.359 (71.784)
Epoch: [13][1660/5005] Time 0.613 (0.616) Data 0.000 (0.003) Loss 2.2860 (2.3761) Prec@1 48.438 (46.619) Prec@5 70.312 (71.774)
Epoch: [13][1670/5005] Time 0.607 (0.616) Data 0.000 (0.003) Loss 2.5027 (2.3760) Prec@1 46.094 (46.617) Prec@5 70.703 (71.774)
Epoch: [13][1680/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.3109 (2.3761) Prec@1 47.266 (46.611) Prec@5 73.438 (71.769)
Epoch: [13][1690/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.3314 (2.3758) Prec@1 47.266 (46.616) Prec@5 71.484 (71.780)
Epoch: [13][1700/5005] Time 0.623 (0.616) Data 0.000 (0.003) Loss 2.4853 (2.3759) Prec@1 42.578 (46.610) Prec@5 70.703 (71.775)
Epoch: [13][1710/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.3234 (2.3760) Prec@1 45.312 (46.605) Prec@5 70.703 (71.775)
Epoch: [13][1720/5005] Time 0.619 (0.616) Data 0.000 (0.003) Loss 2.0848 (2.3758) Prec@1 53.516 (46.607) Prec@5 77.344 (71.778)
Epoch: [13][1730/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.2254 (2.3756) Prec@1 51.172 (46.608) Prec@5 71.094 (71.779)
Epoch: [13][1740/5005] Time 0.609 (0.616) Data 0.000 (0.003) Loss 2.6743 (2.3755) Prec@1 40.234 (46.612) Prec@5 67.188 (71.783)
Epoch: [13][1750/5005] Time 0.605 (0.616) Data 0.000 (0.003) Loss 2.2902 (2.3755) Prec@1 46.875 (46.620) Prec@5 74.609 (71.780)
Epoch: [13][1760/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.4367 (2.3760) Prec@1 47.266 (46.608) Prec@5 71.484 (71.774)
Epoch: [13][1770/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.4412 (2.3759) Prec@1 48.438 (46.613) Prec@5 70.703 (71.775)
Epoch: [13][1780/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.5018 (2.3761) Prec@1 41.797 (46.610) Prec@5 71.875 (71.773)
Epoch: [13][1790/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.4235 (2.3759) Prec@1 44.141 (46.612) Prec@5 71.484 (71.776)
Epoch: [13][1800/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.1704 (2.3757) Prec@1 52.344 (46.616) Prec@5 74.609 (71.778)
Epoch: [13][1810/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.4760 (2.3757) Prec@1 47.656 (46.627) Prec@5 71.094 (71.781)
Epoch: [13][1820/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.6621 (2.3762) Prec@1 40.625 (46.617) Prec@5 66.797 (71.777)
Epoch: [13][1830/5005] Time 0.616 (0.616) Data 0.000 (0.003) Loss 2.4254 (2.3762) Prec@1 44.922 (46.617) Prec@5 69.531 (71.777)
Epoch: [13][1840/5005] Time 0.618 (0.616) Data 0.000 (0.003) Loss 2.4203 (2.3763) Prec@1 46.094 (46.621) Prec@5 67.969 (71.771)
Epoch: [13][1850/5005] Time 0.612 (0.616) Data 0.000 (0.003) Loss 2.2766 (2.3766) Prec@1 49.219 (46.619) Prec@5 74.219 (71.764)
Epoch: [13][1860/5005] Time 0.615 (0.616) Data 0.000 (0.003) Loss 2.6453 (2.3767) Prec@1 41.797 (46.617) Prec@5 65.625 (71.759)
Epoch: [13][1870/5005] Time 0.610 (0.616) Data 0.000 (0.003) Loss 2.5569 (2.3770) Prec@1 45.703 (46.613) Prec@5 68.750 (71.757)
Epoch: [13][1880/5005] Time 0.621 (0.616) Data 0.000 (0.003) Loss 2.4707 (2.3772) Prec@1 45.703 (46.612) Prec@5 69.531 (71.758)
Epoch: [13][1890/5005] Time 0.620 (0.616) Data 0.000 (0.003) Loss 2.3253 (2.3771) Prec@1 51.172 (46.616) Prec@5 72.266 (71.759)
Epoch: [13][1900/5005] Time 0.614 (0.616) Data 0.000 (0.003) Loss 2.1149 (2.3766) Prec@1 49.219 (46.626) Prec@5 75.391 (71.767)
Epoch: [13][1910/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.2554 (2.3763) Prec@1 52.344 (46.636) Prec@5 74.609 (71.772)
Epoch: [13][1920/5005] Time 0.621 (0.615) Data 0.000 (0.003) Loss 2.1216 (2.3762) Prec@1 52.344 (46.641) Prec@5 72.266 (71.773)
Epoch: [13][1930/5005] Time 0.612 (0.615) Data 0.000 (0.003) Loss 2.4235 (2.3762) Prec@1 45.312 (46.640) Prec@5 70.312 (71.772)
Epoch: [13][1940/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.0937 (2.3761) Prec@1 52.344 (46.642) Prec@5 75.000 (71.773)
Epoch: [13][1950/5005] Time 0.615 (0.615) Data 0.000 (0.003) Loss 2.4217 (2.3759) Prec@1 48.438 (46.649) Prec@5 71.094 (71.779)
Epoch: [13][1960/5005] Time 0.616 (0.615) Data 0.000 (0.003) Loss 2.4379 (2.3757) Prec@1 42.969 (46.651) Prec@5 73.047 (71.779)
Epoch: [13][1970/5005] Time 0.607 (0.615) Data 0.000 (0.003) Loss 2.1775 (2.3758) Prec@1 50.781 (46.651) Prec@5 76.172 (71.778)
Epoch: [13][1980/5005] Time 0.608 (0.615) Data 0.000 (0.003) Loss 2.2377 (2.3758) Prec@1 49.609 (46.648) Prec@5 73.438 (71.778)
Epoch: [13][1990/5005] Time 0.613 (0.615) Data 0.000 (0.003) Loss 2.2853 (2.3756) Prec@1 43.359 (46.655) Prec@5 75.000 (71.783)
Epoch: [13][2000/5005] Time 0.610 (0.615) Data 0.000 (0.003) Loss 2.4488 (2.3758) Prec@1 47.656 (46.649) Prec@5 70.312 (71.777)
Epoch: [13][2010/5005] Time 0.618 (0.615) Data 0.000 (0.003) Loss 2.3308 (2.3764) Prec@1 49.609 (46.643) Prec@5 73.438 (71.773)
Epoch: [13][2020/5005] Time 0.606 (0.615) Data 0.000 (0.003) Loss 2.4231 (2.3766) Prec@1 47.656 (46.646) Prec@5 71.875 (71.769)
Epoch: [13][2030/5005] Time 0.614 (0.615) Data 0.000 (0.003) Loss 2.4247 (2.3764) Prec@1 45.703 (46.656) Prec@5 74.219 (71.774)
Epoch: [13][2040/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3016 (2.3764) Prec@1 46.484 (46.652) Prec@5 75.391 (71.779)
Epoch: [13][2050/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.3901 (2.3767) Prec@1 46.484 (46.648) Prec@5 69.922 (71.773)
Epoch: [13][2060/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.0900 (2.3763) Prec@1 51.953 (46.654) Prec@5 75.000 (71.775)
Epoch: [13][2070/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.0518 (2.3760) Prec@1 51.953 (46.657) Prec@5 77.734 (71.780)
Epoch: [13][2080/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2103 (2.3760) Prec@1 52.734 (46.657) Prec@5 74.219 (71.784)
Epoch: [13][2090/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.3030 (2.3761) Prec@1 50.391 (46.655) Prec@5 71.484 (71.783)
Epoch: [13][2100/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.3770 (2.3766) Prec@1 44.531 (46.648) Prec@5 72.266 (71.773)
Epoch: [13][2110/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3267 (2.3765) Prec@1 45.312 (46.651) Prec@5 71.875 (71.769)
Epoch: [13][2120/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5008 (2.3767) Prec@1 46.875 (46.646) Prec@5 67.188 (71.768)
Epoch: [13][2130/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.3462 (2.3766) Prec@1 46.484 (46.649) Prec@5 72.266 (71.769)
Epoch: [13][2140/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.1707 (2.3766) Prec@1 46.484 (46.653) Prec@5 74.609 (71.768)
Epoch: [13][2150/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.4125 (2.3765) Prec@1 42.969 (46.654) Prec@5 73.047 (71.770)
Epoch: [13][2160/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.4072 (2.3765) Prec@1 49.219 (46.653) Prec@5 71.094 (71.770)
Epoch: [13][2170/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3162 (2.3764) Prec@1 48.047 (46.652) Prec@5 72.266 (71.770)
Epoch: [13][2180/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5633 (2.3764) Prec@1 46.875 (46.652) Prec@5 70.312 (71.773)
Epoch: [13][2190/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.0727 (2.3762) Prec@1 50.000 (46.656) Prec@5 75.781 (71.777)
Epoch: [13][2200/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.4439 (2.3762) Prec@1 40.625 (46.651) Prec@5 71.875 (71.777)
Epoch: [13][2210/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3669 (2.3762) Prec@1 53.125 (46.654) Prec@5 71.875 (71.775)
Epoch: [13][2220/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3860 (2.3761) Prec@1 46.094 (46.656) Prec@5 69.922 (71.775)
Epoch: [13][2230/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 1.9442 (2.3761) Prec@1 52.344 (46.659) Prec@5 77.734 (71.776)
Epoch: [13][2240/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.5034 (2.3759) Prec@1 45.312 (46.664) Prec@5 70.312 (71.781)
Epoch: [13][2250/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.7132 (2.3764) Prec@1 38.672 (46.649) Prec@5 67.188 (71.773)
Epoch: [13][2260/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.4293 (2.3766) Prec@1 46.094 (46.647) Prec@5 69.922 (71.768)
Epoch: [13][2270/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.3932 (2.3767) Prec@1 49.609 (46.651) Prec@5 71.094 (71.766)
Epoch: [13][2280/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3153 (2.3763) Prec@1 48.047 (46.662) Prec@5 71.875 (71.769)
Epoch: [13][2290/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5196 (2.3763) Prec@1 43.359 (46.661) Prec@5 73.047 (71.773)
Epoch: [13][2300/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.3759 (2.3759) Prec@1 48.828 (46.671) Prec@5 71.484 (71.778)
Epoch: [13][2310/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4018 (2.3761) Prec@1 50.781 (46.671) Prec@5 71.875 (71.777)
Epoch: [13][2320/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4975 (2.3764) Prec@1 44.922 (46.669) Prec@5 69.141 (71.770)
Epoch: [13][2330/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3283 (2.3763) Prec@1 47.266 (46.671) Prec@5 71.484 (71.772)
Epoch: [13][2340/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.4517 (2.3765) Prec@1 37.500 (46.664) Prec@5 70.703 (71.771)
Epoch: [13][2350/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3287 (2.3763) Prec@1 46.094 (46.667) Prec@5 69.922 (71.773)
Epoch: [13][2360/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5616 (2.3762) Prec@1 40.625 (46.665) Prec@5 72.266 (71.772)
Epoch: [13][2370/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2059 (2.3765) Prec@1 50.781 (46.660) Prec@5 74.219 (71.763)
Epoch: [13][2380/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3800 (2.3767) Prec@1 49.219 (46.662) Prec@5 73.047 (71.759)
Epoch: [13][2390/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.1943 (2.3769) Prec@1 51.953 (46.659) Prec@5 74.609 (71.756)
Epoch: [13][2400/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.2933 (2.3768) Prec@1 50.391 (46.662) Prec@5 70.312 (71.757)
Epoch: [13][2410/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3609 (2.3767) Prec@1 44.922 (46.667) Prec@5 73.047 (71.761)
Epoch: [13][2420/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5325 (2.3765) Prec@1 46.094 (46.673) Prec@5 68.750 (71.763)
Epoch: [13][2430/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.0858 (2.3763) Prec@1 51.562 (46.677) Prec@5 78.906 (71.773)
Epoch: [13][2440/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.3288 (2.3764) Prec@1 46.875 (46.680) Prec@5 71.484 (71.772)
Epoch: [13][2450/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5055 (2.3764) Prec@1 45.312 (46.680) Prec@5 70.312 (71.769)
Epoch: [13][2460/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3604 (2.3764) Prec@1 44.531 (46.680) Prec@5 71.875 (71.769)
Epoch: [13][2470/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.4521 (2.3763) Prec@1 46.484 (46.686) Prec@5 71.094 (71.772)
Epoch: [13][2480/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.5129 (2.3761) Prec@1 43.750 (46.691) Prec@5 68.750 (71.772)
Epoch: [13][2490/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3383 (2.3760) Prec@1 46.484 (46.693) Prec@5 73.438 (71.772)
Epoch: [13][2500/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3222 (2.3758) Prec@1 45.703 (46.699) Prec@5 70.312 (71.776)
Epoch: [13][2510/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3560 (2.3758) Prec@1 48.047 (46.697) Prec@5 74.219 (71.775)
Epoch: [13][2520/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5912 (2.3757) Prec@1 45.703 (46.697) Prec@5 67.969 (71.777)
Epoch: [13][2530/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5721 (2.3758) Prec@1 46.875 (46.699) Prec@5 69.141 (71.774)
Epoch: [13][2540/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3966 (2.3756) Prec@1 45.703 (46.699) Prec@5 71.484 (71.776)
Epoch: [13][2550/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5699 (2.3756) Prec@1 44.531 (46.698) Prec@5 68.359 (71.776)
Epoch: [13][2560/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2118 (2.3754) Prec@1 49.609 (46.704) Prec@5 74.219 (71.781)
Epoch: [13][2570/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4196 (2.3754) Prec@1 47.266 (46.703) Prec@5 70.312 (71.780)
Epoch: [13][2580/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.2956 (2.3755) Prec@1 48.438 (46.696) Prec@5 72.656 (71.779)
Epoch: [13][2590/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.3770 (2.3755) Prec@1 46.094 (46.696) Prec@5 70.703 (71.780)
Epoch: [13][2600/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3057 (2.3754) Prec@1 49.219 (46.697) Prec@5 71.875 (71.780)
Epoch: [13][2610/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.1522 (2.3755) Prec@1 48.828 (46.695) Prec@5 74.609 (71.779)
Epoch: [13][2620/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4331 (2.3756) Prec@1 45.703 (46.697) Prec@5 69.141 (71.775)
Epoch: [13][2630/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.1584 (2.3753) Prec@1 51.172 (46.702) Prec@5 76.172 (71.781)
Epoch: [13][2640/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3689 (2.3751) Prec@1 50.391 (46.710) Prec@5 71.484 (71.786)
Epoch: [13][2650/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.3389 (2.3752) Prec@1 51.953 (46.713) Prec@5 69.922 (71.785)
Epoch: [13][2660/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.6023 (2.3753) Prec@1 41.016 (46.710) Prec@5 67.188 (71.783)
Epoch: [13][2670/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2122 (2.3753) Prec@1 51.953 (46.713) Prec@5 74.219 (71.781)
Epoch: [13][2680/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.6225 (2.3754) Prec@1 44.141 (46.716) Prec@5 68.359 (71.779)
Epoch: [13][2690/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.5358 (2.3756) Prec@1 43.359 (46.711) Prec@5 67.578 (71.774)
Epoch: [13][2700/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.1900 (2.3753) Prec@1 50.000 (46.713) Prec@5 73.828 (71.778)
Epoch: [13][2710/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.2289 (2.3752) Prec@1 49.609 (46.713) Prec@5 75.781 (71.781)
Epoch: [13][2720/5005] Time 0.617 (0.615) Data 0.001 (0.002) Loss 2.6512 (2.3757) Prec@1 41.406 (46.704) Prec@5 65.625 (71.774)
Epoch: [13][2730/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.5565 (2.3757) Prec@1 41.797 (46.704) Prec@5 69.531 (71.776)
Epoch: [13][2740/5005] Time 0.622 (0.615) Data 0.000 (0.002) Loss 2.0825 (2.3757) Prec@1 52.344 (46.700) Prec@5 76.172 (71.773)
Epoch: [13][2750/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.5049 (2.3759) Prec@1 44.531 (46.702) Prec@5 69.141 (71.769)
Epoch: [13][2760/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.4455 (2.3760) Prec@1 43.750 (46.699) Prec@5 70.312 (71.765)
Epoch: [13][2770/5005] Time 0.593 (0.615) Data 0.000 (0.002) Loss 2.1124 (2.3758) Prec@1 51.953 (46.705) Prec@5 78.125 (71.771)
Epoch: [13][2780/5005] Time 0.618 (0.615) Data 0.000 (0.002) Loss 2.3962 (2.3758) Prec@1 50.391 (46.707) Prec@5 71.484 (71.772)
Epoch: [13][2790/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.4568 (2.3758) Prec@1 44.531 (46.708) Prec@5 71.484 (71.774)
Epoch: [13][2800/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4610 (2.3758) Prec@1 46.094 (46.706) Prec@5 70.703 (71.771)
Epoch: [13][2810/5005] Time 0.618 (0.615) Data 0.001 (0.002) Loss 2.4587 (2.3757) Prec@1 48.047 (46.714) Prec@5 67.188 (71.771)
Epoch: [13][2820/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.3467 (2.3757) Prec@1 45.703 (46.715) Prec@5 73.438 (71.772)
Epoch: [13][2830/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4644 (2.3757) Prec@1 42.969 (46.717) Prec@5 68.359 (71.771)
Epoch: [13][2840/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.5224 (2.3757) Prec@1 40.234 (46.719) Prec@5 74.219 (71.774)
Epoch: [13][2850/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.1741 (2.3756) Prec@1 50.000 (46.719) Prec@5 75.000 (71.776)
Epoch: [13][2860/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.2364 (2.3754) Prec@1 50.391 (46.720) Prec@5 73.438 (71.780)
Epoch: [13][2870/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.5179 (2.3754) Prec@1 40.625 (46.717) Prec@5 74.219 (71.781)
Epoch: [13][2880/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.4510 (2.3753) Prec@1 47.266 (46.719) Prec@5 69.531 (71.786)
Epoch: [13][2890/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.6598 (2.3754) Prec@1 40.625 (46.718) Prec@5 71.094 (71.787)
Epoch: [13][2900/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4809 (2.3756) Prec@1 40.625 (46.717) Prec@5 73.438 (71.788)
Epoch: [13][2910/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.5105 (2.3756) Prec@1 48.047 (46.722) Prec@5 69.922 (71.788)
Epoch: [13][2920/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.2236 (2.3755) Prec@1 47.656 (46.721) Prec@5 74.609 (71.789)
Epoch: [13][2930/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3997 (2.3757) Prec@1 50.000 (46.720) Prec@5 69.922 (71.785)
Epoch: [13][2940/5005] Time 0.612 (0.615) Data 0.001 (0.002) Loss 2.4403 (2.3757) Prec@1 46.484 (46.720) Prec@5 68.750 (71.783)
Epoch: [13][2950/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.0947 (2.3755) Prec@1 57.031 (46.729) Prec@5 75.781 (71.789)
Epoch: [13][2960/5005] Time 0.613 (0.615) Data 0.000 (0.002) Loss 2.4417 (2.3755) Prec@1 46.875 (46.730) Prec@5 71.094 (71.788)
Epoch: [13][2970/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.1595 (2.3754) Prec@1 50.391 (46.730) Prec@5 74.219 (71.787)
Epoch: [13][2980/5005] Time 0.606 (0.615) Data 0.000 (0.002) Loss 2.5441 (2.3755) Prec@1 39.453 (46.728) Prec@5 69.531 (71.787)
Epoch: [13][2990/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.4426 (2.3755) Prec@1 43.359 (46.726) Prec@5 71.484 (71.786)
Epoch: [13][3000/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2826 (2.3755) Prec@1 50.781 (46.726) Prec@5 71.875 (71.784)
Epoch: [13][3010/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3107 (2.3753) Prec@1 49.219 (46.729) Prec@5 70.703 (71.786)
Epoch: [13][3020/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.6002 (2.3754) Prec@1 42.969 (46.727) Prec@5 69.922 (71.785)
Epoch: [13][3030/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 1.9445 (2.3753) Prec@1 55.078 (46.730) Prec@5 80.859 (71.790)
Epoch: [13][3040/5005] Time 0.620 (0.615) Data 0.000 (0.002) Loss 2.3947 (2.3754) Prec@1 48.047 (46.729) Prec@5 69.531 (71.786)
Epoch: [13][3050/5005] Time 0.610 (0.615) Data 0.000 (0.002) Loss 2.2349 (2.3752) Prec@1 50.000 (46.735) Prec@5 73.438 (71.788)
Epoch: [13][3060/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.4083 (2.3752) Prec@1 43.359 (46.732) Prec@5 73.047 (71.791)
Epoch: [13][3070/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.3068 (2.3751) Prec@1 46.875 (46.736) Prec@5 75.781 (71.793)
Epoch: [13][3080/5005] Time 0.621 (0.615) Data 0.000 (0.002) Loss 2.6877 (2.3752) Prec@1 40.234 (46.733) Prec@5 70.703 (71.793)
Epoch: [13][3090/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.2156 (2.3752) Prec@1 50.391 (46.732) Prec@5 75.781 (71.796)
Epoch: [13][3100/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.3559 (2.3752) Prec@1 45.312 (46.728) Prec@5 71.484 (71.796)
Epoch: [13][3110/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.3487 (2.3753) Prec@1 47.266 (46.726) Prec@5 72.266 (71.795)
Epoch: [13][3120/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5304 (2.3757) Prec@1 46.875 (46.723) Prec@5 70.312 (71.787)
Epoch: [13][3130/5005] Time 0.623 (0.615) Data 0.000 (0.002) Loss 2.3322 (2.3758) Prec@1 47.266 (46.723) Prec@5 73.047 (71.788)
Epoch: [13][3140/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.6924 (2.3755) Prec@1 44.531 (46.727) Prec@5 66.797 (71.791)
Epoch: [13][3150/5005] Time 0.609 (0.615) Data 0.000 (0.002) Loss 2.0688 (2.3757) Prec@1 53.125 (46.722) Prec@5 77.344 (71.787)
Epoch: [13][3160/5005] Time 0.612 (0.615) Data 0.000 (0.002) Loss 2.3662 (2.3756) Prec@1 48.828 (46.724) Prec@5 72.266 (71.790)
Epoch: [13][3170/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.2770 (2.3758) Prec@1 49.609 (46.718) Prec@5 70.703 (71.786)
Epoch: [13][3180/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.4981 (2.3759) Prec@1 46.484 (46.719) Prec@5 67.969 (71.784)
Epoch: [13][3190/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.3113 (2.3758) Prec@1 47.656 (46.721) Prec@5 71.484 (71.785)
Epoch: [13][3200/5005] Time 0.616 (0.615) Data 0.000 (0.002) Loss 2.3251 (2.3760) Prec@1 48.438 (46.715) Prec@5 70.312 (71.783)
Epoch: [13][3210/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.2149 (2.3759) Prec@1 50.000 (46.717) Prec@5 76.172 (71.784)
Epoch: [13][3220/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.4071 (2.3759) Prec@1 46.094 (46.715) Prec@5 71.094 (71.783)
Epoch: [13][3230/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.5260 (2.3757) Prec@1 46.094 (46.718) Prec@5 67.578 (71.788)
Epoch: [13][3240/5005] Time 0.604 (0.615) Data 0.000 (0.002) Loss 2.4629 (2.3757) Prec@1 46.484 (46.716) Prec@5 69.531 (71.790)
Epoch: [13][3250/5005] Time 0.616 (0.615) Data 0.001 (0.002) Loss 2.2795 (2.3755) Prec@1 51.172 (46.719) Prec@5 74.219 (71.796)
Epoch: [13][3260/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.3787 (2.3755) Prec@1 46.484 (46.714) Prec@5 70.703 (71.795)
Epoch: [13][3270/5005] Time 0.619 (0.615) Data 0.000 (0.002) Loss 2.5464 (2.3756) Prec@1 46.094 (46.713) Prec@5 65.625 (71.790)
Epoch: [13][3280/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.5848 (2.3756) Prec@1 44.531 (46.715) Prec@5 70.312 (71.791)
Epoch: [13][3290/5005] Time 0.614 (0.615) Data 0.000 (0.002) Loss 2.5500 (2.3756) Prec@1 43.750 (46.724) Prec@5 71.875 (71.792)
Epoch: [13][3300/5005] Time 0.615 (0.615) Data 0.000 (0.002) Loss 2.4596 (2.3753) Prec@1 42.969 (46.726) Prec@5 71.484 (71.798)
Epoch: [13][3310/5005] Time 0.607 (0.615) Data 0.001 (0.002) Loss 2.5154 (2.3751) Prec@1 44.141 (46.732) Prec@5 72.266 (71.805)
Epoch: [13][3320/5005] Time 0.611 (0.615) Data 0.000 (0.002) Loss 2.5402 (2.3752) Prec@1 43.750 (46.730) Prec@5 69.922 (71.801)
Epoch: [13][3330/5005] Time 0.607 (0.615) Data 0.000 (0.002) Loss 2.3871 (2.3754) Prec@1 44.531 (46.728) Prec@5 73.047 (71.800)
Epoch: [13][3340/5005] Time 0.608 (0.615) Data 0.000 (0.002) Loss 2.4129 (2.3755) Prec@1 46.875 (46.726) Prec@5 72.656 (71.801)
Epoch: [13][3350/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.3648 (2.3755) Prec@1 48.047 (46.726) Prec@5 73.438 (71.800)
Epoch: [13][3360/5005] Time 0.617 (0.615) Data 0.000 (0.002) Loss 2.2520 (2.3755) Prec@1 49.219 (46.727) Prec@5 73.438 (71.801)
Epoch: [13][3370/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.4591 (2.3755) Prec@1 46.094 (46.725) Prec@5 70.703 (71.803)
Epoch: [13][3380/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4056 (2.3755) Prec@1 45.703 (46.726) Prec@5 71.875 (71.801)
Epoch: [13][3390/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4508 (2.3756) Prec@1 45.312 (46.725) Prec@5 72.266 (71.803)
Epoch: [13][3400/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5228 (2.3756) Prec@1 40.625 (46.729) Prec@5 71.094 (71.804)
Epoch: [13][3410/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.5191 (2.3755) Prec@1 44.141 (46.732) Prec@5 71.484 (71.807)
Epoch: [13][3420/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4478 (2.3755) Prec@1 45.703 (46.730) Prec@5 69.141 (71.807)
Epoch: [13][3430/5005] Time 0.599 (0.614) Data 0.000 (0.002) Loss 2.2855 (2.3754) Prec@1 48.047 (46.734) Prec@5 73.438 (71.811)
Epoch: [13][3440/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.6051 (2.3758) Prec@1 42.188 (46.727) Prec@5 69.922 (71.807)
Epoch: [13][3450/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.0218 (2.3756) Prec@1 54.297 (46.727) Prec@5 75.391 (71.809)
Epoch: [13][3460/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3815 (2.3754) Prec@1 48.438 (46.733) Prec@5 72.656 (71.814)
Epoch: [13][3470/5005] Time 0.610 (0.614) Data 0.000 (0.002) Loss 2.0580 (2.3753) Prec@1 50.000 (46.733) Prec@5 76.172 (71.816)
Epoch: [13][3480/5005] Time 0.607 (0.614) Data 0.000 (0.002) Loss 2.1869 (2.3752) Prec@1 52.344 (46.737) Prec@5 73.438 (71.815)
Epoch: [13][3490/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.1853 (2.3752) Prec@1 49.219 (46.738) Prec@5 74.609 (71.818)
Epoch: [13][3500/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5806 (2.3750) Prec@1 42.969 (46.741) Prec@5 68.750 (71.821)
Epoch: [13][3510/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.4739 (2.3750) Prec@1 46.094 (46.740) Prec@5 70.312 (71.822)
Epoch: [13][3520/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4970 (2.3749) Prec@1 47.266 (46.744) Prec@5 66.797 (71.820)
Epoch: [13][3530/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3214 (2.3749) Prec@1 46.875 (46.748) Prec@5 71.875 (71.822)
Epoch: [13][3540/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.4260 (2.3749) Prec@1 47.656 (46.744) Prec@5 73.047 (71.820)
Epoch: [13][3550/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.3961 (2.3748) Prec@1 47.656 (46.746) Prec@5 72.656 (71.823)
Epoch: [13][3560/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5695 (2.3748) Prec@1 46.875 (46.744) Prec@5 66.797 (71.824)
Epoch: [13][3570/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.3131 (2.3746) Prec@1 46.094 (46.748) Prec@5 69.531 (71.827)
Epoch: [13][3580/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.3208 (2.3746) Prec@1 48.047 (46.747) Prec@5 72.656 (71.826)
Epoch: [13][3590/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4983 (2.3745) Prec@1 44.141 (46.750) Prec@5 71.875 (71.830)
Epoch: [13][3600/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.3621 (2.3746) Prec@1 47.266 (46.748) Prec@5 71.484 (71.829)
Epoch: [13][3610/5005] Time 0.620 (0.614) Data 0.000 (0.002) Loss 2.5916 (2.3748) Prec@1 43.750 (46.744) Prec@5 67.188 (71.825)
Epoch: [13][3620/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.6205 (2.3750) Prec@1 41.016 (46.739) Prec@5 71.094 (71.825)
Epoch: [13][3630/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.4990 (2.3750) Prec@1 45.312 (46.737) Prec@5 70.703 (71.825)
Epoch: [13][3640/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.5007 (2.3750) Prec@1 44.141 (46.736) Prec@5 69.922 (71.825)
Epoch: [13][3650/5005] Time 0.618 (0.614) Data 0.000 (0.002) Loss 2.1785 (2.3750) Prec@1 48.047 (46.737) Prec@5 74.609 (71.826)
Epoch: [13][3660/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.5322 (2.3751) Prec@1 44.922 (46.736) Prec@5 70.312 (71.827)
Epoch: [13][3670/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.2823 (2.3751) Prec@1 48.047 (46.735) Prec@5 73.438 (71.824)
Epoch: [13][3680/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.2276 (2.3751) Prec@1 46.484 (46.737) Prec@5 71.094 (71.823)
Epoch: [13][3690/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.3039 (2.3750) Prec@1 48.047 (46.738) Prec@5 73.047 (71.824)
Epoch: [13][3700/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.1405 (2.3749) Prec@1 49.609 (46.739) Prec@5 74.609 (71.827)
Epoch: [13][3710/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.3203 (2.3747) Prec@1 49.219 (46.740) Prec@5 71.484 (71.828)
Epoch: [13][3720/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.3837 (2.3747) Prec@1 46.094 (46.742) Prec@5 70.703 (71.830)
Epoch: [13][3730/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.4257 (2.3746) Prec@1 45.312 (46.745) Prec@5 69.922 (71.831)
Epoch: [13][3740/5005] Time 0.624 (0.614) Data 0.000 (0.002) Loss 2.3116 (2.3745) Prec@1 45.703 (46.746) Prec@5 74.609 (71.833)
Epoch: [13][3750/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4686 (2.3746) Prec@1 42.578 (46.746) Prec@5 75.781 (71.833)
Epoch: [13][3760/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.3139 (2.3745) Prec@1 47.656 (46.749) Prec@5 73.438 (71.835)
Epoch: [13][3770/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.2956 (2.3742) Prec@1 47.656 (46.754) Prec@5 73.828 (71.841)
Epoch: [13][3780/5005] Time 0.606 (0.614) Data 0.000 (0.002) Loss 2.2666 (2.3740) Prec@1 46.875 (46.753) Prec@5 73.828 (71.843)
Epoch: [13][3790/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.4504 (2.3738) Prec@1 43.359 (46.755) Prec@5 68.359 (71.845)
Epoch: [13][3800/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.3466 (2.3738) Prec@1 47.656 (46.754) Prec@5 73.828 (71.845)
Epoch: [13][3810/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.3515 (2.3737) Prec@1 44.141 (46.756) Prec@5 72.656 (71.847)
Epoch: [13][3820/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.2872 (2.3736) Prec@1 49.219 (46.759) Prec@5 73.438 (71.849)
Epoch: [13][3830/5005] Time 0.609 (0.614) Data 0.000 (0.002) Loss 2.2438 (2.3734) Prec@1 47.656 (46.762) Prec@5 73.438 (71.851)
Epoch: [13][3840/5005] Time 0.613 (0.614) Data 0.000 (0.002) Loss 2.4551 (2.3732) Prec@1 41.797 (46.765) Prec@5 73.438 (71.856)
Epoch: [13][3850/5005] Time 0.615 (0.614) Data 0.000 (0.002) Loss 2.4654 (2.3732) Prec@1 45.312 (46.765) Prec@5 73.828 (71.857)
Epoch: [13][3860/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.3784 (2.3731) Prec@1 48.828 (46.764) Prec@5 71.094 (71.855)
Epoch: [13][3870/5005] Time 0.614 (0.614) Data 0.000 (0.002) Loss 2.5023 (2.3731) Prec@1 48.438 (46.764) Prec@5 71.094 (71.856)
Epoch: [13][3880/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.1244 (2.3731) Prec@1 49.609 (46.766) Prec@5 77.734 (71.859)
Epoch: [13][3890/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.4996 (2.3730) Prec@1 43.359 (46.767) Prec@5 71.484 (71.860)
Epoch: [13][3900/5005] Time 0.608 (0.614) Data 0.000 (0.002) Loss 2.4236 (2.3727) Prec@1 46.094 (46.769) Prec@5 71.484 (71.866)
Epoch: [13][3910/5005] Time 0.616 (0.614) Data 0.000 (0.002) Loss 2.4502 (2.3727) Prec@1 45.312 (46.770) Prec@5 71.875 (71.867)
Epoch: [13][3920/5005] Time 0.625 (0.614) Data 0.000 (0.002) Loss 2.5496 (2.3727) Prec@1 42.969 (46.768) Prec@5 69.531 (71.867)
Epoch: [13][3930/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.5551 (2.3727) Prec@1 42.969 (46.771) Prec@5 70.312 (71.867)
Epoch: [13][3940/5005] Time 0.612 (0.614) Data 0.000 (0.002) Loss 2.6139 (2.3728) Prec@1 43.359 (46.772) Prec@5 69.141 (71.865)
Epoch: [13][3950/5005] Time 0.617 (0.614) Data 0.000 (0.002) Loss 2.4264 (2.3728) Prec@1 46.094 (46.768) Prec@5 68.750 (71.868)
Epoch: [13][3960/5005] Time 0.611 (0.614) Data 0.001 (0.002) Loss 2.1149 (2.3727) Prec@1 50.000 (46.773) Prec@5 73.438 (71.867)
Epoch: [13][3970/5005] Time 0.619 (0.614) Data 0.000 (0.002) Loss 2.4890 (2.3727) Prec@1 48.828 (46.774) Prec@5 68.750 (71.867)
Epoch: [13][3980/5005] Time 0.611 (0.614) Data 0.000 (0.002) Loss 2.3604 (2.3727) Prec@1 43.750 (46.772) Prec@5 69.922 (71.865)
Epoch: [13][3990/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.3464 (2.3726) Prec@1 48.438 (46.773) Prec@5 75.000 (71.869)
Epoch: [13][4000/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3044 (2.3725) Prec@1 49.219 (46.773) Prec@5 72.266 (71.869)
Epoch: [13][4010/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3034 (2.3725) Prec@1 48.828 (46.776) Prec@5 74.609 (71.871)
Epoch: [13][4020/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4362 (2.3725) Prec@1 45.312 (46.775) Prec@5 67.969 (71.867)
Epoch: [13][4030/5005] Time 0.616 (0.614) Data 0.001 (0.001) Loss 2.3969 (2.3727) Prec@1 43.750 (46.773) Prec@5 69.141 (71.864)
Epoch: [13][4040/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.0719 (2.3726) Prec@1 52.734 (46.777) Prec@5 76.953 (71.869)
Epoch: [13][4050/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2991 (2.3727) Prec@1 49.219 (46.776) Prec@5 71.875 (71.867)
Epoch: [13][4060/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.4279 (2.3729) Prec@1 43.359 (46.771) Prec@5 73.828 (71.865)
Epoch: [13][4070/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4340 (2.3729) Prec@1 45.703 (46.771) Prec@5 72.656 (71.864)
Epoch: [13][4080/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4271 (2.3730) Prec@1 44.922 (46.766) Prec@5 69.922 (71.863)
Epoch: [13][4090/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.2967 (2.3731) Prec@1 46.094 (46.765) Prec@5 73.438 (71.859)
Epoch: [13][4100/5005] Time 0.625 (0.614) Data 0.000 (0.001) Loss 2.6764 (2.3731) Prec@1 45.312 (46.765) Prec@5 64.844 (71.859)
Epoch: [13][4110/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.3719 (2.3731) Prec@1 48.047 (46.768) Prec@5 73.828 (71.861)
Epoch: [13][4120/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.4845 (2.3732) Prec@1 42.969 (46.767) Prec@5 70.703 (71.861)
Epoch: [13][4130/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.3846 (2.3731) Prec@1 47.266 (46.769) Prec@5 71.094 (71.861)
Epoch: [13][4140/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.2990 (2.3732) Prec@1 42.969 (46.765) Prec@5 73.047 (71.859)
Epoch: [13][4150/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.2996 (2.3733) Prec@1 48.438 (46.764) Prec@5 75.781 (71.859)
Epoch: [13][4160/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3585 (2.3734) Prec@1 49.219 (46.764) Prec@5 69.922 (71.857)
Epoch: [13][4170/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.5226 (2.3735) Prec@1 45.312 (46.761) Prec@5 70.703 (71.853)
Epoch: [13][4180/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3288 (2.3734) Prec@1 49.609 (46.762) Prec@5 71.094 (71.854)
Epoch: [13][4190/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.2549 (2.3733) Prec@1 48.438 (46.762) Prec@5 73.438 (71.856)
Epoch: [13][4200/5005] Time 0.621 (0.614) Data 0.000 (0.001) Loss 2.3718 (2.3735) Prec@1 48.047 (46.760) Prec@5 69.531 (71.851)
Epoch: [13][4210/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4845 (2.3734) Prec@1 44.531 (46.759) Prec@5 64.844 (71.848)
Epoch: [13][4220/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4670 (2.3737) Prec@1 45.703 (46.755) Prec@5 68.750 (71.844)
Epoch: [13][4230/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.3158 (2.3738) Prec@1 49.219 (46.756) Prec@5 73.828 (71.844)
Epoch: [13][4240/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.3711 (2.3739) Prec@1 50.391 (46.755) Prec@5 72.656 (71.841)
Epoch: [13][4250/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2457 (2.3738) Prec@1 51.562 (46.759) Prec@5 73.828 (71.841)
Epoch: [13][4260/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.2622 (2.3736) Prec@1 50.000 (46.763) Prec@5 74.609 (71.845)
Epoch: [13][4270/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4787 (2.3736) Prec@1 42.969 (46.764) Prec@5 67.578 (71.845)
Epoch: [13][4280/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4004 (2.3735) Prec@1 48.438 (46.767) Prec@5 72.266 (71.847)
Epoch: [13][4290/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4095 (2.3735) Prec@1 43.750 (46.765) Prec@5 71.094 (71.848)
Epoch: [13][4300/5005] Time 0.624 (0.614) Data 0.000 (0.001) Loss 2.3707 (2.3733) Prec@1 46.875 (46.764) Prec@5 73.438 (71.849)
Epoch: [13][4310/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.3559 (2.3734) Prec@1 44.531 (46.763) Prec@5 71.094 (71.848)
Epoch: [13][4320/5005] Time 0.610 (0.614) Data 0.000 (0.001) Loss 2.3725 (2.3736) Prec@1 45.312 (46.760) Prec@5 71.484 (71.845)
Epoch: [13][4330/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4540 (2.3734) Prec@1 49.219 (46.763) Prec@5 72.266 (71.848)
Epoch: [13][4340/5005] Time 0.609 (0.614) Data 0.001 (0.001) Loss 2.1075 (2.3734) Prec@1 48.828 (46.762) Prec@5 73.828 (71.848)
Epoch: [13][4350/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.2826 (2.3734) Prec@1 47.266 (46.762) Prec@5 74.609 (71.847)
Epoch: [13][4360/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.2765 (2.3733) Prec@1 49.219 (46.764) Prec@5 73.438 (71.849)
Epoch: [13][4370/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.3654 (2.3733) Prec@1 44.922 (46.764) Prec@5 72.266 (71.849)
Epoch: [13][4380/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.1929 (2.3733) Prec@1 51.562 (46.762) Prec@5 73.438 (71.846)
Epoch: [13][4390/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.4732 (2.3736) Prec@1 42.969 (46.758) Prec@5 70.703 (71.842)
Epoch: [13][4400/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.4300 (2.3735) Prec@1 45.703 (46.758) Prec@5 74.609 (71.845)
Epoch: [13][4410/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.3558 (2.3734) Prec@1 46.484 (46.759) Prec@5 73.828 (71.846)
Epoch: [13][4420/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.3396 (2.3735) Prec@1 47.656 (46.758) Prec@5 69.922 (71.845)
Epoch: [13][4430/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.2119 (2.3733) Prec@1 51.953 (46.759) Prec@5 71.875 (71.848)
Epoch: [13][4440/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4036 (2.3732) Prec@1 46.094 (46.761) Prec@5 69.141 (71.850)
Epoch: [13][4450/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4086 (2.3732) Prec@1 43.359 (46.762) Prec@5 73.438 (71.850)
Epoch: [13][4460/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.4159 (2.3731) Prec@1 47.266 (46.764) Prec@5 72.266 (71.852)
Epoch: [13][4470/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.5564 (2.3731) Prec@1 42.188 (46.764) Prec@5 68.750 (71.854)
Epoch: [13][4480/5005] Time 0.619 (0.614) Data 0.000 (0.001) Loss 2.7225 (2.3731) Prec@1 39.844 (46.761) Prec@5 66.406 (71.852)
Epoch: [13][4490/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.3145 (2.3730) Prec@1 47.266 (46.763) Prec@5 73.047 (71.857)
Epoch: [13][4500/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.6384 (2.3729) Prec@1 45.312 (46.765) Prec@5 68.750 (71.857)
Epoch: [13][4510/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.0919 (2.3727) Prec@1 50.781 (46.768) Prec@5 78.125 (71.863)
Epoch: [13][4520/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.3981 (2.3725) Prec@1 44.531 (46.773) Prec@5 70.703 (71.867)
Epoch: [13][4530/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.3114 (2.3725) Prec@1 44.531 (46.771) Prec@5 73.438 (71.867)
Epoch: [13][4540/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.4564 (2.3726) Prec@1 46.094 (46.770) Prec@5 68.750 (71.866)
Epoch: [13][4550/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.7116 (2.3725) Prec@1 40.234 (46.771) Prec@5 66.797 (71.865)
Epoch: [13][4560/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2062 (2.3725) Prec@1 48.828 (46.773) Prec@5 75.391 (71.867)
Epoch: [13][4570/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.2947 (2.3724) Prec@1 42.969 (46.776) Prec@5 73.828 (71.868)
Epoch: [13][4580/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.4231 (2.3724) Prec@1 44.531 (46.774) Prec@5 73.047 (71.866)
Epoch: [13][4590/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4609 (2.3723) Prec@1 45.703 (46.776) Prec@5 73.438 (71.869)
Epoch: [13][4600/5005] Time 0.609 (0.614) Data 0.000 (0.001) Loss 2.4111 (2.3724) Prec@1 42.969 (46.776) Prec@5 71.094 (71.866)
Epoch: [13][4610/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.6831 (2.3724) Prec@1 40.234 (46.777) Prec@5 64.453 (71.866)
Epoch: [13][4620/5005] Time 0.613 (0.614) Data 0.001 (0.001) Loss 2.5912 (2.3724) Prec@1 40.234 (46.776) Prec@5 67.969 (71.863)
Epoch: [13][4630/5005] Time 0.606 (0.614) Data 0.000 (0.001) Loss 2.4530 (2.3722) Prec@1 45.703 (46.779) Prec@5 66.797 (71.864)
Epoch: [13][4640/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.3088 (2.3722) Prec@1 46.484 (46.778) Prec@5 71.484 (71.865)
Epoch: [13][4650/5005] Time 0.608 (0.614) Data 0.000 (0.001) Loss 2.2480 (2.3722) Prec@1 52.344 (46.780) Prec@5 74.609 (71.865)
Epoch: [13][4660/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.3955 (2.3723) Prec@1 45.703 (46.777) Prec@5 71.484 (71.862)
Epoch: [13][4670/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.5223 (2.3722) Prec@1 43.359 (46.778) Prec@5 71.875 (71.863)
Epoch: [13][4680/5005] Time 0.620 (0.614) Data 0.000 (0.001) Loss 2.2104 (2.3722) Prec@1 47.656 (46.778) Prec@5 75.000 (71.866)
Epoch: [13][4690/5005] Time 0.603 (0.614) Data 0.000 (0.001) Loss 2.5814 (2.3721) Prec@1 42.969 (46.778) Prec@5 69.531 (71.866)
Epoch: [13][4700/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.2249 (2.3720) Prec@1 46.484 (46.782) Prec@5 75.391 (71.869)
Epoch: [13][4710/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.5699 (2.3719) Prec@1 43.750 (46.784) Prec@5 71.484 (71.871)
Epoch: [13][4720/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.5100 (2.3720) Prec@1 40.234 (46.780) Prec@5 69.141 (71.870)
Epoch: [13][4730/5005] Time 0.616 (0.614) Data 0.000 (0.001) Loss 2.2246 (2.3720) Prec@1 47.266 (46.779) Prec@5 73.828 (71.871)
Epoch: [13][4740/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2334 (2.3720) Prec@1 48.438 (46.777) Prec@5 74.609 (71.871)
Epoch: [13][4750/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.3570 (2.3721) Prec@1 46.094 (46.777) Prec@5 71.484 (71.871)
Epoch: [13][4760/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3143 (2.3721) Prec@1 51.172 (46.778) Prec@5 72.656 (71.872)
Epoch: [13][4770/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.3481 (2.3721) Prec@1 46.094 (46.779) Prec@5 71.094 (71.874)
Epoch: [13][4780/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.4426 (2.3719) Prec@1 43.750 (46.782) Prec@5 72.266 (71.876)
Epoch: [13][4790/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4586 (2.3718) Prec@1 46.484 (46.784) Prec@5 69.922 (71.878)
Epoch: [13][4800/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4001 (2.3718) Prec@1 46.875 (46.785) Prec@5 69.922 (71.877)
Epoch: [13][4810/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.7858 (2.3718) Prec@1 37.500 (46.782) Prec@5 66.797 (71.877)
Epoch: [13][4820/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.5566 (2.3717) Prec@1 44.922 (46.785) Prec@5 70.312 (71.877)
Epoch: [13][4830/5005] Time 0.617 (0.614) Data 0.000 (0.001) Loss 2.6027 (2.3718) Prec@1 43.359 (46.783) Prec@5 69.531 (71.875)
Epoch: [13][4840/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.3642 (2.3717) Prec@1 44.922 (46.782) Prec@5 69.141 (71.875)
Epoch: [13][4850/5005] Time 0.618 (0.614) Data 0.000 (0.001) Loss 2.4689 (2.3718) Prec@1 45.703 (46.782) Prec@5 70.312 (71.875)
Epoch: [13][4860/5005] Time 0.612 (0.614) Data 0.000 (0.001) Loss 2.0852 (2.3718) Prec@1 48.438 (46.782) Prec@5 76.953 (71.876)
Epoch: [13][4870/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4079 (2.3718) Prec@1 44.922 (46.781) Prec@5 69.141 (71.874)
Epoch: [13][4880/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.4989 (2.3717) Prec@1 46.484 (46.783) Prec@5 70.703 (71.877)
Epoch: [13][4890/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.3027 (2.3715) Prec@1 45.703 (46.785) Prec@5 73.438 (71.880)
Epoch: [13][4900/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.3909 (2.3716) Prec@1 45.312 (46.784) Prec@5 68.750 (71.877)
Epoch: [13][4910/5005] Time 0.622 (0.614) Data 0.000 (0.001) Loss 2.2277 (2.3715) Prec@1 47.266 (46.787) Prec@5 75.391 (71.880)
Epoch: [13][4920/5005] Time 0.611 (0.614) Data 0.000 (0.001) Loss 2.4942 (2.3717) Prec@1 45.312 (46.783) Prec@5 69.922 (71.877)
Epoch: [13][4930/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.3566 (2.3717) Prec@1 49.219 (46.783) Prec@5 70.703 (71.878)
Epoch: [13][4940/5005] Time 0.613 (0.614) Data 0.000 (0.001) Loss 2.6887 (2.3718) Prec@1 39.844 (46.782) Prec@5 67.188 (71.876)
Epoch: [13][4950/5005] Time 0.615 (0.614) Data 0.000 (0.001) Loss 2.4341 (2.3719) Prec@1 45.703 (46.781) Prec@5 69.141 (71.876)
Epoch: [13][4960/5005] Time 0.605 (0.614) Data 0.000 (0.001) Loss 2.2052 (2.3718) Prec@1 49.219 (46.785) Prec@5 74.219 (71.877)
Epoch: [13][4970/5005] Time 0.614 (0.614) Data 0.000 (0.001) Loss 2.2188 (2.3716) Prec@1 53.906 (46.789) Prec@5 72.266 (71.880)
Epoch: [13][4980/5005] Time 0.603 (0.614) Data 0.000 (0.001) Loss 2.5532 (2.3715) Prec@1 44.141 (46.789) Prec@5 69.922 (71.881)
Epoch: [13][4990/5005] Time 0.604 (0.614) Data 0.000 (0.001) Loss 2.2850 (2.3713) Prec@1 50.391 (46.796) Prec@5 74.219 (71.886)
Epoch: [13][5000/5005] Time 0.607 (0.614) Data 0.000 (0.001) Loss 2.5291 (2.3713) Prec@1 43.750 (46.794) Prec@5 72.266 (71.886)
Test: [0/196] Time 4.967 (4.967) Loss 1.1217 (1.1217) Prec@1 73.047 (73.047) Prec@5 89.062 (89.062)
Test: [10/196] Time 0.203 (0.637) Loss 1.8169 (1.3727) Prec@1 50.781 (65.483) Prec@5 85.156 (86.967)
Test: [20/196] Time 0.202 (0.430) Loss 1.4142 (1.3284) Prec@1 67.188 (65.923) Prec@5 84.766 (87.314)
Test: [30/196] Time 0.202 (0.363) Loss 1.3435 (1.3018) Prec@1 65.234 (67.011) Prec@5 90.234 (87.714)
Test: [40/196] Time 0.202 (0.324) Loss 1.7155 (1.3758) Prec@1 59.375 (64.434) Prec@5 82.422 (87.424)
Test: [50/196] Time 0.202 (0.301) Loss 1.0677 (1.3681) Prec@1 75.000 (64.078) Prec@5 93.359 (87.967)
Test: [60/196] Time 0.202 (0.286) Loss 1.8040 (1.3822) Prec@1 52.734 (63.672) Prec@5 85.156 (88.044)
Test: [70/196] Time 0.201 (0.274) Loss 1.4410 (1.3701) Prec@1 61.719 (64.156) Prec@5 86.328 (88.232)
Test: [80/196] Time 0.204 (0.265) Loss 2.3106 (1.3953) Prec@1 48.438 (63.682) Prec@5 75.391 (87.867)
Test: [90/196] Time 0.202 (0.258) Loss 3.0116 (1.4926) Prec@1 37.109 (61.933) Prec@5 64.844 (86.410)
Test: [100/196] Time 0.213 (0.254) Loss 2.4565 (1.5708) Prec@1 43.750 (60.458) Prec@5 67.578 (85.110)
Test: [110/196] Time 0.202 (0.249) Loss 1.8707 (1.6004) Prec@1 58.984 (60.153) Prec@5 78.125 (84.576)
Test: [120/196] Time 0.203 (0.246) Loss 2.4956 (1.6345) Prec@1 46.875 (59.821) Prec@5 68.750 (83.917)
Test: [130/196] Time 0.202 (0.242) Loss 1.6630 (1.6806) Prec@1 60.547 (58.889) Prec@5 80.859 (83.194)
Test: [140/196] Time 0.202 (0.240) Loss 2.3367 (1.7199) Prec@1 48.828 (58.225) Prec@5 72.656 (82.563)
Test: [150/196] Time 0.202 (0.238) Loss 2.1210 (1.7518) Prec@1 57.812 (57.779) Prec@5 74.609 (82.062)
Test: [160/196] Time 0.203 (0.236) Loss 1.6302 (1.7766) Prec@1 66.797 (57.378) Prec@5 85.547 (81.682)
Test: [170/196] Time 0.201 (0.234) Loss 1.0649 (1.8036) Prec@1 71.875 (56.867) Prec@5 93.359 (81.225)
Test: [180/196] Time 0.201 (0.232) Loss 1.7288 (1.8240) Prec@1 55.469 (56.500) Prec@5 85.156 (80.933)
Test: [190/196] Time 0.201 (0.231) Loss 1.9217 (1.8246) Prec@1 50.781 (56.461) Prec@5 83.984 (80.988)
* Prec@1 56.718 Prec@5 81.088
Epoch: [14][0/5005] Time 4.594 (4.594) Data 4.344 (4.344) Loss 2.2271 (2.2271) Prec@1 49.219 (49.219) Prec@5 75.391 (75.391)
Epoch: [14][10/5005] Time 0.601 (0.973) Data 0.000 (0.395) Loss 2.1365 (2.3001) Prec@1 48.828 (47.798) Prec@5 75.000 (73.011)
Epoch: [14][20/5005] Time 0.622 (0.801) Data 0.000 (0.207) Loss 2.0796 (2.3239) Prec@1 50.391 (47.675) Prec@5 78.125 (72.879)
Epoch: [14][30/5005] Time 0.613 (0.741) Data 0.000 (0.141) Loss 2.3367 (2.3168) Prec@1 46.094 (48.085) Prec@5 73.438 (72.694)
Epoch: [14][40/5005] Time 0.614 (0.709) Data 0.000 (0.106) Loss 2.1935 (2.3205) Prec@1 46.484 (47.923) Prec@5 75.000 (72.504)
Epoch: [14][50/5005] Time 0.611 (0.691) Data 0.001 (0.086) Loss 2.1747 (2.3137) Prec@1 51.172 (47.886) Prec@5 74.609 (72.649)
Epoch: [14][60/5005] Time 0.614 (0.678) Data 0.000 (0.072) Loss 2.4537 (2.3160) Prec@1 41.797 (47.810) Prec@5 71.484 (72.605)
Epoch: [14][70/5005] Time 0.608 (0.668) Data 0.000 (0.062) Loss 2.2094 (2.3123) Prec@1 51.172 (47.854) Prec@5 75.781 (72.733)
Epoch: [14][80/5005] Time 0.613 (0.662) Data 0.000 (0.054) Loss 2.3334 (2.3134) Prec@1 46.484 (47.950) Prec@5 73.438 (72.762)
Epoch: [14][90/5005] Time 0.620 (0.656) Data 0.000 (0.048) Loss 2.2596 (2.3188) Prec@1 52.734 (47.892) Prec@5 75.000 (72.729)
Epoch: [14][100/5005] Time 0.619 (0.652) Data 0.000 (0.043) Loss 2.1297 (2.3155) Prec@1 48.438 (47.853) Prec@5 75.781 (72.753)
Epoch: [14][110/5005] Time 0.611 (0.648) Data 0.000 (0.040) Loss 2.6850 (2.3225) Prec@1 41.797 (47.575) Prec@5 68.359 (72.709)
Epoch: [14][120/5005] Time 0.610 (0.645) Data 0.000 (0.036) Loss 2.3618 (2.3192) Prec@1 44.922 (47.566) Prec@5 75.781 (72.763)
Epoch: [14][130/5005] Time 0.610 (0.643) Data 0.000 (0.034) Loss 2.3501 (2.3228) Prec@1 44.531 (47.612) Prec@5 69.141 (72.632)
Epoch: [14][140/5005] Time 0.613 (0.641) Data 0.000 (0.031) Loss 2.4541 (2.3221) Prec@1 47.266 (47.656) Prec@5 71.484 (72.601)
Epoch: [14][150/5005] Time 0.614 (0.639) Data 0.000 (0.029) Loss 2.1615 (2.3201) Prec@1 50.000 (47.695) Prec@5 75.781 (72.672)
Epoch: [14][160/5005] Time 0.609 (0.637) Data 0.000 (0.027) Loss 2.3623 (2.3187) Prec@1 48.438 (47.746) Prec@5 73.438 (72.707)
Epoch: [14][170/5005] Time 0.612 (0.636) Data 0.000 (0.026) Loss 2.2249 (2.3182) Prec@1 50.781 (47.752) Prec@5 75.391 (72.759)
Epoch: [14][180/5005] Time 0.612 (0.635) Data 0.000 (0.024) Loss 2.3904 (2.3214) Prec@1 47.266 (47.704) Prec@5 70.703 (72.712)
Epoch: [14][190/5005] Time 0.618 (0.634) Data 0.000 (0.023) Loss 2.3388 (2.3192) Prec@1 45.703 (47.752) Prec@5 73.047 (72.759)
Epoch: [14][200/5005] Time 0.611 (0.633) Data 0.000 (0.022) Loss 2.3028 (2.3208) Prec@1 45.703 (47.720) Prec@5 74.219 (72.722)
Epoch: [14][210/5005] Time 0.609 (0.632) Data 0.000 (0.021) Loss 2.2854 (2.3244) Prec@1 50.000 (47.658) Prec@5 73.438 (72.640)
Epoch: [14][220/5005] Time 0.612 (0.631) Data 0.000 (0.020) Loss 2.3884 (2.3257) Prec@1 48.047 (47.610) Prec@5 71.875 (72.633)
Epoch: [14][230/5005] Time 0.618 (0.630) Data 0.000 (0.019) Loss 2.2411 (2.3271) Prec@1 46.875 (47.592) Prec@5 74.219 (72.646)
Epoch: [14][240/5005] Time 0.612 (0.629) Data 0.000 (0.018) Loss 2.4167 (2.3292) Prec@1 47.266 (47.561) Prec@5 70.312 (72.583)
Epoch: [14][250/5005] Time 0.615 (0.629) Data 0.000 (0.018) Loss 2.3678 (2.3283) Prec@1 42.188 (47.555) Prec@5 71.094 (72.602)
Epoch: [14][260/5005] Time 0.609 (0.628) Data 0.000 (0.017) Loss 2.4519 (2.3285) Prec@1 42.188 (47.550) Prec@5 69.922 (72.587)
Epoch: [14][270/5005] Time 0.604 (0.627) Data 0.000 (0.016) Loss 2.1009 (2.3279) Prec@1 51.172 (47.542) Prec@5 78.516 (72.609)
Epoch: [14][280/5005] Time 0.611 (0.627) Data 0.000 (0.016) Loss 2.3092 (2.3284) Prec@1 44.922 (47.506) Prec@5 72.266 (72.570)
Epoch: [14][290/5005] Time 0.614 (0.627) Data 0.000 (0.015) Loss 2.3620 (2.3265) Prec@1 48.047 (47.535) Prec@5 75.000 (72.612)
Epoch: [14][300/5005] Time 0.616 (0.626) Data 0.000 (0.015) Loss 2.2483 (2.3258) Prec@1 49.219 (47.541) Prec@5 72.266 (72.621)
Epoch: [14][310/5005] Time 0.613 (0.626) Data 0.000 (0.014) Loss 2.1466 (2.3247) Prec@1 53.516 (47.522) Prec@5 76.562 (72.631)
Epoch: [14][320/5005] Time 0.612 (0.625) Data 0.000 (0.014) Loss 2.1496 (2.3217) Prec@1 50.781 (47.533) Prec@5 75.391 (72.678)
Epoch: [14][330/5005] Time 0.615 (0.625) Data 0.001 (0.014) Loss 1.9931 (2.3212) Prec@1 50.000 (47.489) Prec@5 78.125 (72.669)
Epoch: [14][340/5005] Time 0.619 (0.625) Data 0.000 (0.013) Loss 2.2913 (2.3221) Prec@1 47.656 (47.468) Prec@5 72.656 (72.640)
Epoch: [14][350/5005] Time 0.617 (0.624) Data 0.001 (0.013) Loss 2.3456 (2.3209) Prec@1 47.656 (47.495) Prec@5 74.219 (72.670)
Epoch: [14][360/5005] Time 0.619 (0.624) Data 0.000 (0.012) Loss 2.4231 (2.3224) Prec@1 45.312 (47.457) Prec@5 68.359 (72.628)
Epoch: [14][370/5005] Time 0.611 (0.624) Data 0.000 (0.012) Loss 2.4280 (2.3215) Prec@1 44.141 (47.452) Prec@5 73.828 (72.673)
Epoch: [14][380/5005] Time 0.618 (0.623) Data 0.000 (0.012) Loss 1.9652 (2.3217) Prec@1 56.250 (47.486) Prec@5 78.125 (72.663)
Epoch: [14][390/5005] Time 0.611 (0.623) Data 0.000 (0.012) Loss 2.1634 (2.3209) Prec@1 48.438 (47.512) Prec@5 75.781 (72.688)
Epoch: [14][400/5005] Time 0.614 (0.623
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