INFO:root:Namespace(batch_norm=False, batch_size=40, data_dir='~/.mxnet/datasets/imagenet', log_interval=50, logging_dir='logs', lr=0.045, lr_decay=0.98, lr_decay_epoch='40,60', lr_decay_period=1, mode='hybrid', model='mobilenetv2_0.75', momentum=0.9, num_epochs=480, num_gpus=4, num_workers=32, save_dir='params', save_frequency=10, save_plot_dir='.', use_pretrained=False, use_thumbnail=False, wd=4e-05)
[23:48:15] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
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INFO:root:[Epoch 0] training: err-top1=0.893992 err-top5=0.745557 loss=4.954313
INFO:root:[Epoch 0] time cost: 1426.312018 learning rate: 0.045000
INFO:root:[Epoch 0] validation: err-top1=0.786620 err-top5=0.559840
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INFO:root:[Epoch 1] training: err-top1=0.750220 err-top5=0.517393 loss=3.709928
INFO:root:[Epoch 1] time cost: 1421.847847 learning rate: 0.044100
INFO:root:[Epoch 1] validation: err-top1=0.670580 err-top5=0.413020
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INFO:root:[Epoch 2] training: err-top1=0.680926 err-top5=0.435545 loss=3.265780
INFO:root:[Epoch 2] time cost: 1426.013311 learning rate: 0.043218
INFO:root:[Epoch 2] validation: err-top1=0.617500 err-top5=0.358640
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INFO:root:[Epoch 3] training: err-top1=0.637612 err-top5=0.388846 loss=3.007035
INFO:root:[Epoch 3] time cost: 1430.363596 learning rate: 0.042354
INFO:root:[Epoch 3] validation: err-top1=0.581540 err-top5=0.321940
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INFO:root:[Epoch 4] training: err-top1=0.606100 err-top5=0.357621 loss=2.827294
INFO:root:[Epoch 4] time cost: 1426.789926 learning rate: 0.041507
INFO:root:[Epoch 4] validation: err-top1=0.549960 err-top5=0.291360
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INFO:root:[Epoch 5] training: err-top1=0.583510 err-top5=0.335381 loss=2.698018
INFO:root:[Epoch 5] time cost: 1431.144155 learning rate: 0.040676
INFO:root:[Epoch 5] validation: err-top1=0.529080 err-top5=0.271020
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INFO:root:[Epoch 6] training: err-top1=0.566610 err-top5=0.319908 loss=2.604674
INFO:root:[Epoch 6] time cost: 1432.527482 learning rate: 0.039863
INFO:root:[Epoch 6] validation: err-top1=0.503260 err-top5=0.249060
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INFO:root:[Epoch 7] training: err-top1=0.553079 err-top5=0.307386 loss=2.527586
INFO:root:[Epoch 7] time cost: 1432.807884 learning rate: 0.039066
INFO:root:[Epoch 7] validation: err-top1=0.495720 err-top5=0.247740
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INFO:root:[Epoch 8] training: err-top1=0.541423 err-top5=0.297311 loss=2.467557
INFO:root:[Epoch 8] time cost: 1433.901285 learning rate: 0.038284
INFO:root:[Epoch 8] validation: err-top1=0.489280 err-top5=0.236560
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INFO:root:[Epoch 9] training: err-top1=0.532046 err-top5=0.288515 loss=2.414622
INFO:root:[Epoch 9] time cost: 1431.812384 learning rate: 0.037519
INFO:root:[Epoch 9] validation: err-top1=0.485860 err-top5=0.233960
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INFO:root:[Epoch 10] training: err-top1=0.523678 err-top5=0.281791 loss=2.371418
INFO:root:[Epoch 10] time cost: 1424.294863 learning rate: 0.036768
INFO:root:[Epoch 10] validation: err-top1=0.471660 err-top5=0.224580
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INFO:root:[Epoch 11] training: err-top1=0.517536 err-top5=0.275944 loss=2.334592
INFO:root:[Epoch 11] time cost: 1429.647760 learning rate: 0.036033
INFO:root:[Epoch 11] validation: err-top1=0.462340 err-top5=0.220000
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INFO:root:[Epoch 12] training: err-top1=0.510868 err-top5=0.270439 loss=2.302926
INFO:root:[Epoch 12] time cost: 1432.544148 learning rate: 0.035312
INFO:root:[Epoch 12] validation: err-top1=0.471360 err-top5=0.224240
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INFO:root:[Epoch 13] training: err-top1=0.505022 err-top5=0.266014 loss=2.271201
INFO:root:[Epoch 13] time cost: 1428.016772 learning rate: 0.034606
INFO:root:[Epoch 13] validation: err-top1=0.463100 err-top5=0.217040
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INFO:root:[Epoch 14] training: err-top1=0.501055 err-top5=0.261191 loss=2.244360
INFO:root:[Epoch 14] time cost: 1427.286599 learning rate: 0.033914
INFO:root:[Epoch 14] validation: err-top1=0.450960 err-top5=0.208260
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INFO:root:[Epoch 15] training: err-top1=0.496405 err-top5=0.258694 loss=2.224130
INFO:root:[Epoch 15] time cost: 1432.715204 learning rate: 0.033236
INFO:root:[Epoch 15] validation: err-top1=0.449920 err-top5=0.204180
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INFO:root:[Epoch 16] training: err-top1=0.491906 err-top5=0.254449 loss=2.201410
INFO:root:[Epoch 16] time cost: 1428.375116 learning rate: 0.032571
INFO:root:[Epoch 16] validation: err-top1=0.446540 err-top5=0.204500
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INFO:root:[Epoch 17] training: err-top1=0.487001 err-top5=0.250965 loss=2.176967
INFO:root:[Epoch 17] time cost: 1423.813318 learning rate: 0.031919
INFO:root:[Epoch 17] validation: err-top1=0.450000 err-top5=0.210100
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INFO:root:[Epoch 18] training: err-top1=0.483948 err-top5=0.248508 loss=2.159816
INFO:root:[Epoch 18] time cost: 1429.477175 learning rate: 0.031281
INFO:root:[Epoch 18] validation: err-top1=0.440160 err-top5=0.200200
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INFO:root:[Epoch 19] training: err-top1=0.481962 err-top5=0.245800 loss=2.144615
INFO:root:[Epoch 19] time cost: 1426.957603 learning rate: 0.030655
INFO:root:[Epoch 19] validation: err-top1=0.439660 err-top5=0.197580
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INFO:root:[Epoch 20] training: err-top1=0.477636 err-top5=0.243013 loss=2.125527
INFO:root:[Epoch 20] time cost: 1431.742319 learning rate: 0.030042
INFO:root:[Epoch 20] validation: err-top1=0.431200 err-top5=0.192400
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INFO:root:[Epoch 21] training: err-top1=0.474542 err-top5=0.240657 loss=2.111299
INFO:root:[Epoch 21] time cost: 1435.175766 learning rate: 0.029442
INFO:root:[Epoch 21] validation: err-top1=0.428240 err-top5=0.189740
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INFO:root:[Epoch 22] training: err-top1=0.471575 err-top5=0.238208 loss=2.094084
INFO:root:[Epoch 22] time cost: 1434.879228 learning rate: 0.028853
INFO:root:[Epoch 22] validation: err-top1=0.427680 err-top5=0.189220
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INFO:root:[Epoch 23] training: err-top1=0.469429 err-top5=0.235899 loss=2.080974
INFO:root:[Epoch 23] time cost: 1429.246240 learning rate: 0.028276
INFO:root:[Epoch 23] validation: err-top1=0.425460 err-top5=0.188360
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INFO:root:[Epoch 24] training: err-top1=0.466500 err-top5=0.234269 loss=2.068678
INFO:root:[Epoch 24] time cost: 1428.262797 learning rate: 0.027710
INFO:root:[Epoch 24] validation: err-top1=0.422260 err-top5=0.185580
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INFO:root:[Epoch 25] training: err-top1=0.464656 err-top5=0.231989 loss=2.056717
INFO:root:[Epoch 25] time cost: 1425.003609 learning rate: 0.027156
INFO:root:[Epoch 25] validation: err-top1=0.421280 err-top5=0.183020
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INFO:root:[Epoch 26] training: err-top1=0.462588 err-top5=0.230480 loss=2.044403
INFO:root:[Epoch 26] time cost: 1425.608011 learning rate: 0.026613
INFO:root:[Epoch 26] validation: err-top1=0.420760 err-top5=0.183420
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INFO:root:[Epoch 27] training: err-top1=0.459055 err-top5=0.228669 loss=2.031521
INFO:root:[Epoch 27] time cost: 1425.530199 learning rate: 0.026081
INFO:root:[Epoch 27] validation: err-top1=0.423240 err-top5=0.187940
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INFO:root:[Epoch 28] training: err-top1=0.457392 err-top5=0.226661 loss=2.020439
INFO:root:[Epoch 28] time cost: 1427.457415 learning rate: 0.025559
INFO:root:[Epoch 28] validation: err-top1=0.418920 err-top5=0.183480
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INFO:root:[Epoch 29] training: err-top1=0.454804 err-top5=0.224841 loss=2.008832
INFO:root:[Epoch 29] time cost: 1429.293867 learning rate: 0.025048
INFO:root:[Epoch 29] validation: err-top1=0.411020 err-top5=0.180700
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INFO:root:[Epoch 30] training: err-top1=0.453417 err-top5=0.223421 loss=1.998016
INFO:root:[Epoch 30] time cost: 1429.299234 learning rate: 0.024547
INFO:root:[Epoch 30] validation: err-top1=0.407920 err-top5=0.175960
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INFO:root:[Epoch 31] training: err-top1=0.450992 err-top5=0.221856 loss=1.988232
INFO:root:[Epoch 31] time cost: 1428.704250 learning rate: 0.024056
INFO:root:[Epoch 31] validation: err-top1=0.405600 err-top5=0.174240
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INFO:root:[Epoch 32] training: err-top1=0.449340 err-top5=0.219918 loss=1.977738
INFO:root:[Epoch 32] time cost: 1425.643241 learning rate: 0.023575
INFO:root:[Epoch 32] validation: err-top1=0.403920 err-top5=0.172100
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INFO:root:[Epoch 33] training: err-top1=0.446912 err-top5=0.219026 loss=1.966229
INFO:root:[Epoch 33] time cost: 1426.174180 learning rate: 0.023103
INFO:root:[Epoch 33] validation: err-top1=0.408400 err-top5=0.177880
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INFO:root:[Epoch 34] training: err-top1=0.445606 err-top5=0.217664 loss=1.959177
INFO:root:[Epoch 34] time cost: 1432.200990 learning rate: 0.022641
INFO:root:[Epoch 34] validation: err-top1=0.397780 err-top5=0.170080
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INFO:root:[Epoch 35] training: err-top1=0.443337 err-top5=0.215248 loss=1.947790
INFO:root:[Epoch 35] time cost: 1428.780407 learning rate: 0.022188
INFO:root:[Epoch 35] validation: err-top1=0.398600 err-top5=0.169460
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INFO:root:[Epoch 36] training: err-top1=0.442482 err-top5=0.214960 loss=1.942960
INFO:root:[Epoch 36] time cost: 1428.826686 learning rate: 0.021745
INFO:root:[Epoch 36] validation: err-top1=0.406860 err-top5=0.176540
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INFO:root:[Epoch 37] training: err-top1=0.440399 err-top5=0.213476 loss=1.933000
INFO:root:[Epoch 37] time cost: 1428.083072 learning rate: 0.021310
INFO:root:[Epoch 37] validation: err-top1=0.401900 err-top5=0.170060
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INFO:root:[Epoch 38] training: err-top1=0.437868 err-top5=0.211752 loss=1.919953
INFO:root:[Epoch 38] time cost: 1430.623806 learning rate: 0.020884
INFO:root:[Epoch 38] validation: err-top1=0.401880 err-top5=0.172240
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INFO:root:[Epoch 39] training: err-top1=0.436965 err-top5=0.210779 loss=1.915215
INFO:root:[Epoch 39] time cost: 1431.155686 learning rate: 0.020466
INFO:root:[Epoch 39] validation: err-top1=0.395620 err-top5=0.166780
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INFO:root:[Epoch 40] training: err-top1=0.434923 err-top5=0.209680 loss=1.907130
INFO:root:[Epoch 40] time cost: 1431.309715 learning rate: 0.020057
INFO:root:[Epoch 40] validation: err-top1=0.400520 err-top5=0.169820
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INFO:root:[Epoch 41] training: err-top1=0.433461 err-top5=0.208325 loss=1.898718
INFO:root:[Epoch 41] time cost: 1424.165168 learning rate: 0.019655
INFO:root:[Epoch 41] validation: err-top1=0.399200 err-top5=0.169300
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INFO:root:[Epoch 42] training: err-top1=0.431786 err-top5=0.207293 loss=1.891903
INFO:root:[Epoch 42] time cost: 1428.030863 learning rate: 0.019262
INFO:root:[Epoch 42] validation: err-top1=0.399000 err-top5=0.170000
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INFO:root:[Epoch 43] training: err-top1=0.430492 err-top5=0.205794 loss=1.882057
INFO:root:[Epoch 43] time cost: 1426.480292 learning rate: 0.018877
INFO:root:[Epoch 43] validation: err-top1=0.392300 err-top5=0.166140
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INFO:root:[Epoch 44] training: err-top1=0.429191 err-top5=0.205249 loss=1.876644
INFO:root:[Epoch 44] time cost: 1426.200973 learning rate: 0.018499
INFO:root:[Epoch 44] validation: err-top1=0.388160 err-top5=0.161800
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INFO:root:[Epoch 45] training: err-top1=0.427819 err-top5=0.204029 loss=1.870042
INFO:root:[Epoch 45] time cost: 1428.057271 learning rate: 0.018130
INFO:root:[Epoch 45] validation: err-top1=0.387040 err-top5=0.161460
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INFO:root:[Epoch 46] training: err-top1=0.426404 err-top5=0.202977 loss=1.862343
INFO:root:[Epoch 46] time cost: 1427.754745 learning rate: 0.017767
INFO:root:[Epoch 46] validation: err-top1=0.389760 err-top5=0.163360
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INFO:root:[Epoch 47] training: err-top1=0.424831 err-top5=0.202201 loss=1.855794
INFO:root:[Epoch 47] time cost: 1434.289462 learning rate: 0.017412
INFO:root:[Epoch 47] validation: err-top1=0.386580 err-top5=0.160440
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INFO:root:[Epoch 48] training: err-top1=0.423651 err-top5=0.200810 loss=1.848185
INFO:root:[Epoch 48] time cost: 1422.210817 learning rate: 0.017063
INFO:root:[Epoch 48] validation: err-top1=0.387180 err-top5=0.159800
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INFO:root:[Epoch 49] training: err-top1=0.421776 err-top5=0.200297 loss=1.840418
INFO:root:[Epoch 49] time cost: 1428.457451 learning rate: 0.016722
INFO:root:[Epoch 49] validation: err-top1=0.381460 err-top5=0.159960
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INFO:root:[Epoch 50] training: err-top1=0.421350 err-top5=0.199213 loss=1.836032
INFO:root:[Epoch 50] time cost: 1433.030435 learning rate: 0.016388
INFO:root:[Epoch 50] validation: err-top1=0.384840 err-top5=0.160000
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INFO:root:[Epoch 51] training: err-top1=0.419487 err-top5=0.198001 loss=1.827293
INFO:root:[Epoch 51] time cost: 1423.882256 learning rate: 0.016060
INFO:root:[Epoch 51] validation: err-top1=0.381900 err-top5=0.159180
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INFO:root:[Epoch 52] training: err-top1=0.418412 err-top5=0.197362 loss=1.821885
INFO:root:[Epoch 52] time cost: 1430.655304 learning rate: 0.015739
INFO:root:[Epoch 52] validation: err-top1=0.381580 err-top5=0.158120
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INFO:root:[Epoch 53] training: err-top1=0.416989 err-top5=0.195883 loss=1.815163
INFO:root:[Epoch 53] time cost: 1428.287858 learning rate: 0.015424
INFO:root:[Epoch 53] validation: err-top1=0.384900 err-top5=0.158740
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INFO:root:[Epoch 54] training: err-top1=0.415948 err-top5=0.194758 loss=1.807451
INFO:root:[Epoch 54] time cost: 1432.153927 learning rate: 0.015115
INFO:root:[Epoch 54] validation: err-top1=0.375700 err-top5=0.151680
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INFO:root:[Epoch 55] training: err-top1=0.414608 err-top5=0.194227 loss=1.802592
INFO:root:[Epoch 55] time cost: 1425.172279 learning rate: 0.014813
INFO:root:[Epoch 55] validation: err-top1=0.381740 err-top5=0.159160
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INFO:root:[Epoch 56] training: err-top1=0.412859 err-top5=0.193171 loss=1.794996
INFO:root:[Epoch 56] time cost: 1426.389719 learning rate: 0.014517
INFO:root:[Epoch 56] validation: err-top1=0.375520 err-top5=0.153960
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INFO:root:[Epoch 57] training: err-top1=0.411339 err-top5=0.192520 loss=1.789928
INFO:root:[Epoch 57] time cost: 1431.659241 learning rate: 0.014227
INFO:root:[Epoch 57] validation: err-top1=0.375140 err-top5=0.153640
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INFO:root:[Epoch 58] training: err-top1=0.410716 err-top5=0.191109 loss=1.782112
INFO:root:[Epoch 58] time cost: 1423.347412 learning rate: 0.013942
INFO:root:[Epoch 58] validation: err-top1=0.376960 err-top5=0.153860
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INFO:root:[Epoch 59] training: err-top1=0.409255 err-top5=0.190703 loss=1.777417
INFO:root:[Epoch 59] time cost: 1432.104092 learning rate: 0.013663
INFO:root:[Epoch 59] validation: err-top1=0.374300 err-top5=0.151080
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INFO:root:[Epoch 60] training: err-top1=0.408080 err-top5=0.189822 loss=1.772217
INFO:root:[Epoch 60] time cost: 1430.666761 learning rate: 0.013390
INFO:root:[Epoch 60] validation: err-top1=0.373700 err-top5=0.151120
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INFO:root:[Epoch 61] training: err-top1=0.407225 err-top5=0.189205 loss=1.767050
INFO:root:[Epoch 61] time cost: 1431.736762 learning rate: 0.013122
INFO:root:[Epoch 61] validation: err-top1=0.372500 err-top5=0.151900
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INFO:root:[Epoch 62] training: err-top1=0.405907 err-top5=0.188141 loss=1.759687
INFO:root:[Epoch 62] time cost: 1431.768740 learning rate: 0.012860
INFO:root:[Epoch 62] validation: err-top1=0.371500 err-top5=0.149920
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INFO:root:[Epoch 63] training: err-top1=0.404789 err-top5=0.187438 loss=1.754711
INFO:root:[Epoch 63] time cost: 1433.797727 learning rate: 0.012602
INFO:root:[Epoch 63] validation: err-top1=0.369600 err-top5=0.151480
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INFO:root:[Epoch 64] training: err-top1=0.403371 err-top5=0.186577 loss=1.749266
INFO:root:[Epoch 64] time cost: 1429.365985 learning rate: 0.012350
INFO:root:[Epoch 64] validation: err-top1=0.369440 err-top5=0.148860
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INFO:root:Epoch[65] Batch [3399]	Speed: 943.830621 samples/sec	top1-err=0.401235	top5-err=0.184862
INFO:root:Epoch[65] Batch [3449]	Speed: 914.713385 samples/sec	top1-err=0.401121	top5-err=0.184788
INFO:root:Epoch[65] Batch [3499]	Speed: 953.121452 samples/sec	top1-err=0.401004	top5-err=0.184811
INFO:root:Epoch[65] Batch [3549]	Speed: 873.356436 samples/sec	top1-err=0.400882	top5-err=0.184746
INFO:root:Epoch[65] Batch [3599]	Speed: 946.537778 samples/sec	top1-err=0.400981	top5-err=0.184802
INFO:root:Epoch[65] Batch [3649]	Speed: 940.176341 samples/sec	top1-