Cannot reprouduce the reported accuracy when asym noisy rate = 0.4 #2
Comments
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Thanks for your attention to our work. I did not test the code of ELR yet, I will do it today. |
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Hi, the hyperparameter settings for asymmetric noise on CIFAR-10 will be different from the config file. Please try alpha = 0.9 and lambda = 1. You should be able to reproduce the results. And you can also try multi step learning rate scheduler. it will result in similar results as well. Please let me know if you have further questions. |
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Hi, thanks for your reply. With lambda = 1 and the above MultiStepLR,ELR(not ELR+ or ELR*) achieves 90.08%(average over 3 runs) when the asym noisy rate = 0.4. This performance is much better. Thank you for this elegant work. And I don't know what the alpha you mentioned means? Does the alpha mean mixup alpha for ELR+? Besides, is there better hyper-parameters to help the model to achieve better performance when asym noisy rate = 0.4? Here are the hyper-parameters I used: |
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Sorry for the confusions, I mean beta = 0.9, but the method is generally insensitive to beta, so if beta = 0.7 works then it is fine. There are multiple things you could potentially tune to make ELR works better, such as adding mixup, tying different betta and lambda, etc. but the aim of the ELR method is showing its simpleness and effectiveness on label noise, rather than showing its state of the art performance, so we did not tune it exhaustively. For better results please refer to ELR+, and for ELR+ we also did not try to combine heavily with other methods, in the camera-ready version, we will show a simple example of combining other simple semi-supervised technique, resulting in better results (improve 1~4%) than DivideMix. |
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Got it. Thank you. |
Hi authors,
Thank you for your excellent paper. It is very interesting. But I cannot reproduce the reported accuracy when asym noise rate is 40%. The reported accuracy is 91.35%(Table 1) while my reproduced accuracy is 83.98%. I have checked the hyper-parameters carefully. I don't know what went wrong. Here is the log file:
info.log
2020-10-15 08:46:19,342 - train - INFO - OrderedDict([('name', 'cifar10_resnet34_cosine'), ('n_gpu', 1), ('seed', 123), ('arch', OrderedDict([('type', 'resnet34'), ('args', OrderedDict([('num_classes', 10)]))])), ('num_classes', 10), ('data_loader', OrderedDict([('type', 'CIFAR10DataLoader'), ('args', OrderedDict([('data_dir', '/BS/sun_project_multimodal/nobackup/weiqin/project_code/cifar/data'), ('batch_size', 128), ('shuffle', True), ('num_batches', 0), ('validation_split', 0), ('num_workers', 8), ('pin_memory', True)]))])), ('optimizer', OrderedDict([('type', 'SGD'), ('args', OrderedDict([('lr', 0.02), ('momentum', 0.9), ('weight_decay', 0.001)]))])), ('train_loss', OrderedDict([('type', 'elr_loss'), ('args', OrderedDict([('beta', 0.7), ('lambda', 3)]))])), ('val_loss', 'cross_entropy'), ('metrics', ['my_metric', 'my_metric2']), ('lr_scheduler', OrderedDict([('type', 'CosineAnnealingWarmRestarts'), ('args', OrderedDict([('T_0', 10), ('eta_min', 0.001)]))])), ('trainer', OrderedDict([('epochs', 150), ('warmup', 0), ('save_dir', 'saved/'), ('save_period', 1), ('verbosity', 2), ('label_dir', 'saved/'), ('monitor', 'max val_my_metric'), ('early_stop', 2000), ('tensorboard', False), ('mlflow', True), ('_percent', 'Percentage of noise'), ('percent', 0.4), ('_begin', 'When to begin updating labels'), ('begin', 0), ('_asym', 'symmetric noise if false'), ('asym', True)]))])
2020-10-15 08:47:14,464 - trainer - INFO - epoch : 1
2020-10-15 08:47:14,465 - trainer - INFO - loss : 1.344432446089658
2020-10-15 08:47:14,465 - trainer - INFO - my_metric : 0.39873589409722227
2020-10-15 08:47:14,465 - trainer - INFO - my_metric2 : 0.8694094262941919
2020-10-15 08:47:14,465 - trainer - INFO - learning rate : [0.02]
2020-10-15 08:47:14,465 - trainer - INFO - val_loss : 1.5482196092605591
2020-10-15 08:47:14,465 - trainer - INFO - val_my_metric : 0.4622
2020-10-15 08:47:14,465 - trainer - INFO - val_my_metric2 : 0.9202
2020-10-15 08:47:14,465 - trainer - INFO - test_loss : 1.6651179790496826
2020-10-15 08:47:14,465 - trainer - INFO - test_my_metric : 0.44430000000000003
2020-10-15 08:47:14,465 - trainer - INFO - test_my_metric2: 0.9111
2020-10-15 08:47:15,653 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:48:06,965 - trainer - INFO - epoch : 2
2020-10-15 08:48:06,966 - trainer - INFO - loss : 0.4895803125744516
2020-10-15 08:48:06,966 - trainer - INFO - my_metric : 0.5340810448232323
2020-10-15 08:48:06,966 - trainer - INFO - my_metric2 : 0.9381263809974747
2020-10-15 08:48:06,966 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 08:48:06,966 - trainer - INFO - val_loss : 1.3158581495285033
2020-10-15 08:48:06,966 - trainer - INFO - val_my_metric : 0.5566
2020-10-15 08:48:06,966 - trainer - INFO - val_my_metric2 : 0.9461999999999999
2020-10-15 08:48:06,966 - trainer - INFO - test_loss : 1.3092092037200929
2020-10-15 08:48:06,966 - trainer - INFO - test_my_metric : 0.564
2020-10-15 08:48:06,966 - trainer - INFO - test_my_metric2: 0.9545
2020-10-15 08:48:08,502 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:49:00,009 - trainer - INFO - epoch : 3
2020-10-15 08:49:00,010 - trainer - INFO - loss : -0.240642855621197
2020-10-15 08:49:00,010 - trainer - INFO - my_metric : 0.6000088778409091
2020-10-15 08:49:00,010 - trainer - INFO - my_metric2 : 0.9635761916035354
2020-10-15 08:49:00,011 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 08:49:00,011 - trainer - INFO - val_loss : 1.152392363548279
2020-10-15 08:49:00,011 - trainer - INFO - val_my_metric : 0.6098
2020-10-15 08:49:00,011 - trainer - INFO - val_my_metric2 : 0.9725999999999999
2020-10-15 08:49:00,011 - trainer - INFO - test_loss : 1.1857561945915223
2020-10-15 08:49:00,011 - trainer - INFO - test_my_metric : 0.6124
2020-10-15 08:49:00,011 - trainer - INFO - test_my_metric2: 0.9701000000000001
2020-10-15 08:49:01,237 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:49:52,730 - trainer - INFO - epoch : 4
2020-10-15 08:49:52,730 - trainer - INFO - loss : -0.8794587168165229
2020-10-15 08:49:52,730 - trainer - INFO - my_metric : 0.6326300110479798
2020-10-15 08:49:52,731 - trainer - INFO - my_metric2 : 0.9740964330808081
2020-10-15 08:49:52,731 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 08:49:52,731 - trainer - INFO - val_loss : 1.1226544380187988
2020-10-15 08:49:52,731 - trainer - INFO - val_my_metric : 0.6220000000000001
2020-10-15 08:49:52,731 - trainer - INFO - val_my_metric2 : 0.9728
2020-10-15 08:49:52,731 - trainer - INFO - test_loss : 1.1971492290496826
2020-10-15 08:49:52,731 - trainer - INFO - test_my_metric : 0.6138999999999999
2020-10-15 08:49:52,731 - trainer - INFO - test_my_metric2: 0.9738
2020-10-15 08:49:53,581 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:50:44,931 - trainer - INFO - epoch : 5
2020-10-15 08:50:44,932 - trainer - INFO - loss : -1.5189955092289231
2020-10-15 08:50:44,932 - trainer - INFO - my_metric : 0.6595101404671717
2020-10-15 08:50:44,932 - trainer - INFO - my_metric2 : 0.9804169625946969
2020-10-15 08:50:44,932 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 08:50:44,932 - trainer - INFO - val_loss : 0.9797059774398804
2020-10-15 08:50:44,932 - trainer - INFO - val_my_metric : 0.6586000000000001
2020-10-15 08:50:44,933 - trainer - INFO - val_my_metric2 : 0.9816
2020-10-15 08:50:44,933 - trainer - INFO - test_loss : 1.0395137190818786
2020-10-15 08:50:44,933 - trainer - INFO - test_my_metric : 0.6499
2020-10-15 08:50:44,933 - trainer - INFO - test_my_metric2: 0.9795999999999999
2020-10-15 08:50:45,972 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:51:37,623 - trainer - INFO - epoch : 6
2020-10-15 08:51:37,624 - trainer - INFO - loss : -2.174734660170295
2020-10-15 08:51:37,624 - trainer - INFO - my_metric : 0.6780870225694445
2020-10-15 08:51:37,624 - trainer - INFO - my_metric2 : 0.9831641611426768
2020-10-15 08:51:37,624 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 08:51:37,624 - trainer - INFO - val_loss : 1.0242573857307433
2020-10-15 08:51:37,624 - trainer - INFO - val_my_metric : 0.6568000000000002
2020-10-15 08:51:37,624 - trainer - INFO - val_my_metric2 : 0.9812
2020-10-15 08:51:37,625 - trainer - INFO - test_loss : 1.1581454396247863
2020-10-15 08:51:37,625 - trainer - INFO - test_my_metric : 0.63
2020-10-15 08:51:37,625 - trainer - INFO - test_my_metric2: 0.9795000000000001
2020-10-15 08:52:29,136 - trainer - INFO - epoch : 7
2020-10-15 08:52:29,137 - trainer - INFO - loss : -2.84861582653089
2020-10-15 08:52:29,137 - trainer - INFO - my_metric : 0.6926565459280303
2020-10-15 08:52:29,137 - trainer - INFO - my_metric2 : 0.9865328085542928
2020-10-15 08:52:29,137 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 08:52:29,137 - trainer - INFO - val_loss : 1.0583856463432313
2020-10-15 08:52:29,137 - trainer - INFO - val_my_metric : 0.6744
2020-10-15 08:52:29,138 - trainer - INFO - val_my_metric2 : 0.9806000000000001
2020-10-15 08:52:29,138 - trainer - INFO - test_loss : 1.0291040420532227
2020-10-15 08:52:29,138 - trainer - INFO - test_my_metric : 0.6909000000000001
2020-10-15 08:52:29,138 - trainer - INFO - test_my_metric2: 0.9845
2020-10-15 08:52:30,628 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:53:22,265 - trainer - INFO - epoch : 8
2020-10-15 08:53:22,266 - trainer - INFO - loss : -3.547497575933283
2020-10-15 08:53:22,266 - trainer - INFO - my_metric : 0.7078351878156566
2020-10-15 08:53:22,266 - trainer - INFO - my_metric2 : 0.9899236505681818
2020-10-15 08:53:22,266 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 08:53:22,266 - trainer - INFO - val_loss : 1.011834692955017
2020-10-15 08:53:22,266 - trainer - INFO - val_my_metric : 0.6926
2020-10-15 08:53:22,266 - trainer - INFO - val_my_metric2 : 0.9875999999999999
2020-10-15 08:53:22,267 - trainer - INFO - test_loss : 1.0503479421138764
2020-10-15 08:53:22,267 - trainer - INFO - test_my_metric : 0.7002
2020-10-15 08:53:22,267 - trainer - INFO - test_my_metric2: 0.9896999999999998
2020-10-15 08:53:23,013 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:54:14,603 - trainer - INFO - epoch : 9
2020-10-15 08:54:14,603 - trainer - INFO - loss : -4.280280420725996
2020-10-15 08:54:14,604 - trainer - INFO - my_metric : 0.7220545296717172
2020-10-15 08:54:14,604 - trainer - INFO - my_metric2 : 0.9910432449494949
2020-10-15 08:54:14,604 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 08:54:14,604 - trainer - INFO - val_loss : 0.9829131960868835
2020-10-15 08:54:14,604 - trainer - INFO - val_my_metric : 0.7086
2020-10-15 08:54:14,604 - trainer - INFO - val_my_metric2 : 0.9898
2020-10-15 08:54:14,604 - trainer - INFO - test_loss : 0.9280257821083069
2020-10-15 08:54:14,604 - trainer - INFO - test_my_metric : 0.7321000000000001
2020-10-15 08:54:14,604 - trainer - INFO - test_my_metric2: 0.99
2020-10-15 08:54:15,969 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:55:07,215 - trainer - INFO - epoch : 10
2020-10-15 08:55:07,215 - trainer - INFO - loss : -5.016697179864753
2020-10-15 08:55:07,216 - trainer - INFO - my_metric : 0.7309619633838383
2020-10-15 08:55:07,216 - trainer - INFO - my_metric2 : 0.9930308948863636
2020-10-15 08:55:07,216 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 08:55:07,216 - trainer - INFO - val_loss : 1.034061896800995
2020-10-15 08:55:07,216 - trainer - INFO - val_my_metric : 0.7152000000000001
2020-10-15 08:55:07,216 - trainer - INFO - val_my_metric2 : 0.9915999999999998
2020-10-15 08:55:07,216 - trainer - INFO - test_loss : 1.013739413022995
2020-10-15 08:55:07,216 - trainer - INFO - test_my_metric : 0.7297
2020-10-15 08:55:07,217 - trainer - INFO - test_my_metric2: 0.9915
2020-10-15 08:55:08,204 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 08:56:00,181 - trainer - INFO - epoch : 11
2020-10-15 08:56:00,181 - trainer - INFO - loss : -4.495085256343538
2020-10-15 08:56:00,182 - trainer - INFO - my_metric : 0.6456286497790404
2020-10-15 08:56:00,182 - trainer - INFO - my_metric2 : 0.9714232165404041
2020-10-15 08:56:00,182 - trainer - INFO - learning rate : [0.02]
2020-10-15 08:56:00,182 - trainer - INFO - val_loss : 1.6481608629226685
2020-10-15 08:56:00,182 - trainer - INFO - val_my_metric : 0.6368
2020-10-15 08:56:00,182 - trainer - INFO - val_my_metric2 : 0.978
2020-10-15 08:56:00,183 - trainer - INFO - test_loss : 1.7316111087799073
2020-10-15 08:56:00,183 - trainer - INFO - test_my_metric : 0.6388
2020-10-15 08:56:00,183 - trainer - INFO - test_my_metric2: 0.9753000000000001
2020-10-15 08:56:52,207 - trainer - INFO - epoch : 12
2020-10-15 08:56:52,207 - trainer - INFO - loss : -5.320813852277669
2020-10-15 08:56:52,207 - trainer - INFO - my_metric : 0.6790487886679293
2020-10-15 08:56:52,208 - trainer - INFO - my_metric2 : 0.9826043639520201
2020-10-15 08:56:52,208 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 08:56:52,208 - trainer - INFO - val_loss : 1.2839585304260255
2020-10-15 08:56:52,208 - trainer - INFO - val_my_metric : 0.6732000000000001
2020-10-15 08:56:52,208 - trainer - INFO - val_my_metric2 : 0.9853999999999999
2020-10-15 08:56:52,208 - trainer - INFO - test_loss : 1.3266695380210876
2020-10-15 08:56:52,208 - trainer - INFO - test_my_metric : 0.6841999999999999
2020-10-15 08:56:52,208 - trainer - INFO - test_my_metric2: 0.9808000000000001
2020-10-15 08:57:44,244 - trainer - INFO - epoch : 13
2020-10-15 08:57:44,244 - trainer - INFO - loss : -5.982854127883911
2020-10-15 08:57:44,244 - trainer - INFO - my_metric : 0.6946836529356061
2020-10-15 08:57:44,244 - trainer - INFO - my_metric2 : 0.9855291193181818
2020-10-15 08:57:44,244 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 08:57:44,245 - trainer - INFO - val_loss : 1.2791999578475952
2020-10-15 08:57:44,245 - trainer - INFO - val_my_metric : 0.6925999999999999
2020-10-15 08:57:44,245 - trainer - INFO - val_my_metric2 : 0.986
2020-10-15 08:57:44,245 - trainer - INFO - test_loss : 1.2082904934883119
2020-10-15 08:57:44,245 - trainer - INFO - test_my_metric : 0.7186999999999999
2020-10-15 08:57:44,245 - trainer - INFO - test_my_metric2: 0.9867999999999999
2020-10-15 08:58:36,046 - trainer - INFO - epoch : 14
2020-10-15 08:58:36,047 - trainer - INFO - loss : -6.6008088073947215
2020-10-15 08:58:36,047 - trainer - INFO - my_metric : 0.7052778764204546
2020-10-15 08:58:36,047 - trainer - INFO - my_metric2 : 0.9864045730744949
2020-10-15 08:58:36,047 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 08:58:36,047 - trainer - INFO - val_loss : 1.3966600179672242
2020-10-15 08:58:36,047 - trainer - INFO - val_my_metric : 0.6888000000000001
2020-10-15 08:58:36,047 - trainer - INFO - val_my_metric2 : 0.9846
2020-10-15 08:58:36,047 - trainer - INFO - test_loss : 1.314958643913269
2020-10-15 08:58:36,047 - trainer - INFO - test_my_metric : 0.7287
2020-10-15 08:58:36,047 - trainer - INFO - test_my_metric2: 0.9863
2020-10-15 08:59:27,760 - trainer - INFO - epoch : 15
2020-10-15 08:59:27,761 - trainer - INFO - loss : -7.259389040145007
2020-10-15 08:59:27,761 - trainer - INFO - my_metric : 0.7146218039772727
2020-10-15 08:59:27,761 - trainer - INFO - my_metric2 : 0.988384824810606
2020-10-15 08:59:27,761 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 08:59:27,761 - trainer - INFO - val_loss : 1.3244801998138427
2020-10-15 08:59:27,761 - trainer - INFO - val_my_metric : 0.7045999999999999
2020-10-15 08:59:27,761 - trainer - INFO - val_my_metric2 : 0.9874
2020-10-15 08:59:27,761 - trainer - INFO - test_loss : 1.2560596346855164
2020-10-15 08:59:27,762 - trainer - INFO - test_my_metric : 0.7299999999999999
2020-10-15 08:59:27,762 - trainer - INFO - test_my_metric2: 0.9885000000000002
2020-10-15 09:00:19,819 - trainer - INFO - epoch : 16
2020-10-15 09:00:19,819 - trainer - INFO - loss : -7.934793141755191
2020-10-15 09:00:19,819 - trainer - INFO - my_metric : 0.72500641177399
2020-10-15 09:00:19,820 - trainer - INFO - my_metric2 : 0.9908114346590909
2020-10-15 09:00:19,820 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 09:00:19,820 - trainer - INFO - val_loss : 1.325422191619873
2020-10-15 09:00:19,820 - trainer - INFO - val_my_metric : 0.705
2020-10-15 09:00:19,820 - trainer - INFO - val_my_metric2 : 0.9906
2020-10-15 09:00:19,820 - trainer - INFO - test_loss : 1.316207754611969
2020-10-15 09:00:19,820 - trainer - INFO - test_my_metric : 0.7345999999999999
2020-10-15 09:00:19,820 - trainer - INFO - test_my_metric2: 0.9898
2020-10-15 09:01:11,723 - trainer - INFO - epoch : 17
2020-10-15 09:01:11,723 - trainer - INFO - loss : -8.645218040455472
2020-10-15 09:01:11,723 - trainer - INFO - my_metric : 0.7348780776515151
2020-10-15 09:01:11,723 - trainer - INFO - my_metric2 : 0.9921702375315656
2020-10-15 09:01:11,723 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 09:01:11,723 - trainer - INFO - val_loss : 1.3465739250183106
2020-10-15 09:01:11,723 - trainer - INFO - val_my_metric : 0.7198
2020-10-15 09:01:11,723 - trainer - INFO - val_my_metric2 : 0.9898
2020-10-15 09:01:11,723 - trainer - INFO - test_loss : 1.1485675811767577
2020-10-15 09:01:11,723 - trainer - INFO - test_my_metric : 0.7661
2020-10-15 09:01:11,723 - trainer - INFO - test_my_metric2: 0.9903000000000001
2020-10-15 09:01:12,931 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:02:04,681 - trainer - INFO - epoch : 18
2020-10-15 09:02:04,681 - trainer - INFO - loss : -9.33871833438223
2020-10-15 09:02:04,681 - trainer - INFO - my_metric : 0.7422392874053031
2020-10-15 09:02:04,681 - trainer - INFO - my_metric2 : 0.9932133838383838
2020-10-15 09:02:04,682 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 09:02:04,682 - trainer - INFO - val_loss : 1.3394651651382445
2020-10-15 09:02:04,682 - trainer - INFO - val_my_metric : 0.7253999999999999
2020-10-15 09:02:04,682 - trainer - INFO - val_my_metric2 : 0.9932000000000001
2020-10-15 09:02:04,682 - trainer - INFO - test_loss : 1.1325106501579285
2020-10-15 09:02:04,682 - trainer - INFO - test_my_metric : 0.7704
2020-10-15 09:02:04,682 - trainer - INFO - test_my_metric2: 0.9908000000000001
2020-10-15 09:02:05,601 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:02:57,753 - trainer - INFO - epoch : 19
2020-10-15 09:02:57,754 - trainer - INFO - loss : -10.020291344685988
2020-10-15 09:02:57,754 - trainer - INFO - my_metric : 0.7517681699810606
2020-10-15 09:02:57,754 - trainer - INFO - my_metric2 : 0.994167751736111
2020-10-15 09:02:57,754 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 09:02:57,754 - trainer - INFO - val_loss : 1.3791209697723388
2020-10-15 09:02:57,754 - trainer - INFO - val_my_metric : 0.7274
2020-10-15 09:02:57,754 - trainer - INFO - val_my_metric2 : 0.9937999999999999
2020-10-15 09:02:57,754 - trainer - INFO - test_loss : 1.1689467787742616
2020-10-15 09:02:57,754 - trainer - INFO - test_my_metric : 0.7749000000000001
2020-10-15 09:02:57,754 - trainer - INFO - test_my_metric2: 0.9922000000000002
2020-10-15 09:02:59,330 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:03:51,110 - trainer - INFO - epoch : 20
2020-10-15 09:03:51,110 - trainer - INFO - loss : -10.672466698017987
2020-10-15 09:03:51,110 - trainer - INFO - my_metric : 0.7557163431186869
2020-10-15 09:03:51,111 - trainer - INFO - my_metric2 : 0.9947842684659091
2020-10-15 09:03:51,111 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 09:03:51,111 - trainer - INFO - val_loss : 1.426035714149475
2020-10-15 09:03:51,111 - trainer - INFO - val_my_metric : 0.733
2020-10-15 09:03:51,111 - trainer - INFO - val_my_metric2 : 0.9934000000000001
2020-10-15 09:03:51,111 - trainer - INFO - test_loss : 1.1965455770492555
2020-10-15 09:03:51,111 - trainer - INFO - test_my_metric : 0.7772
2020-10-15 09:03:51,111 - trainer - INFO - test_my_metric2: 0.9921
2020-10-15 09:03:51,987 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:04:43,919 - trainer - INFO - epoch : 21
2020-10-15 09:04:43,920 - trainer - INFO - loss : -9.50666829943657
2020-10-15 09:04:43,920 - trainer - INFO - my_metric : 0.6781462081755051
2020-10-15 09:04:43,920 - trainer - INFO - my_metric2 : 0.977886777935606
2020-10-15 09:04:43,920 - trainer - INFO - learning rate : [0.02]
2020-10-15 09:04:43,920 - trainer - INFO - val_loss : 1.9264426708221436
2020-10-15 09:04:43,920 - trainer - INFO - val_my_metric : 0.6568
2020-10-15 09:04:43,920 - trainer - INFO - val_my_metric2 : 0.9738
2020-10-15 09:04:43,920 - trainer - INFO - test_loss : 1.8147221684455872
2020-10-15 09:04:43,920 - trainer - INFO - test_my_metric : 0.6835000000000002
2020-10-15 09:04:43,920 - trainer - INFO - test_my_metric2: 0.9713999999999998
2020-10-15 09:05:35,635 - trainer - INFO - epoch : 22
2020-10-15 09:05:35,635 - trainer - INFO - loss : -9.99212063442577
2020-10-15 09:05:35,635 - trainer - INFO - my_metric : 0.7006761955492424
2020-10-15 09:05:35,635 - trainer - INFO - my_metric2 : 0.9835365372474747
2020-10-15 09:05:35,636 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 09:05:35,636 - trainer - INFO - val_loss : 1.8099754095077514
2020-10-15 09:05:35,636 - trainer - INFO - val_my_metric : 0.6934000000000001
2020-10-15 09:05:35,636 - trainer - INFO - val_my_metric2 : 0.9843999999999999
2020-10-15 09:05:35,636 - trainer - INFO - test_loss : 1.6010972261428833
2020-10-15 09:05:35,636 - trainer - INFO - test_my_metric : 0.7362
2020-10-15 09:05:35,636 - trainer - INFO - test_my_metric2: 0.9843
2020-10-15 09:06:27,340 - trainer - INFO - epoch : 23
2020-10-15 09:06:27,340 - trainer - INFO - loss : -10.418463357470252
2020-10-15 09:06:27,341 - trainer - INFO - my_metric : 0.7145206952335859
2020-10-15 09:06:27,341 - trainer - INFO - my_metric2 : 0.986843532986111
2020-10-15 09:06:27,341 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 09:06:27,341 - trainer - INFO - val_loss : 1.8116185903549193
2020-10-15 09:06:27,341 - trainer - INFO - val_my_metric : 0.6714
2020-10-15 09:06:27,341 - trainer - INFO - val_my_metric2 : 0.9762000000000001
2020-10-15 09:06:27,341 - trainer - INFO - test_loss : 1.5286578059196472
2020-10-15 09:06:27,341 - trainer - INFO - test_my_metric : 0.7265999999999998
2020-10-15 09:06:27,341 - trainer - INFO - test_my_metric2: 0.9748999999999999
2020-10-15 09:07:18,986 - trainer - INFO - epoch : 24
2020-10-15 09:07:18,987 - trainer - INFO - loss : -10.814186518842524
2020-10-15 09:07:18,987 - trainer - INFO - my_metric : 0.723516907354798
2020-10-15 09:07:18,987 - trainer - INFO - my_metric2 : 0.9889125631313131
2020-10-15 09:07:18,987 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 09:07:18,987 - trainer - INFO - val_loss : 1.7642005920410155
2020-10-15 09:07:18,988 - trainer - INFO - val_my_metric : 0.6984
2020-10-15 09:07:18,988 - trainer - INFO - val_my_metric2 : 0.9869999999999999
2020-10-15 09:07:18,988 - trainer - INFO - test_loss : 1.6441813468933106
2020-10-15 09:07:18,988 - trainer - INFO - test_my_metric : 0.7294000000000002
2020-10-15 09:07:18,988 - trainer - INFO - test_my_metric2: 0.9864999999999998
2020-10-15 09:08:10,657 - trainer - INFO - epoch : 25
2020-10-15 09:08:10,657 - trainer - INFO - loss : -11.252584666013718
2020-10-15 09:08:10,657 - trainer - INFO - my_metric : 0.7328509706439394
2020-10-15 09:08:10,657 - trainer - INFO - my_metric2 : 0.9904390585542928
2020-10-15 09:08:10,658 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 09:08:10,658 - trainer - INFO - val_loss : 1.6746700286865235
2020-10-15 09:08:10,658 - trainer - INFO - val_my_metric : 0.711
2020-10-15 09:08:10,658 - trainer - INFO - val_my_metric2 : 0.9882
2020-10-15 09:08:10,658 - trainer - INFO - test_loss : 1.4550020337104796
2020-10-15 09:08:10,658 - trainer - INFO - test_my_metric : 0.7561
2020-10-15 09:08:10,658 - trainer - INFO - test_my_metric2: 0.9856
2020-10-15 09:09:02,209 - trainer - INFO - epoch : 26
2020-10-15 09:09:02,209 - trainer - INFO - loss : -11.71348962187767
2020-10-15 09:09:02,209 - trainer - INFO - my_metric : 0.7428607362689394
2020-10-15 09:09:02,210 - trainer - INFO - my_metric2 : 0.992431640625
2020-10-15 09:09:02,210 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 09:09:02,210 - trainer - INFO - val_loss : 1.5761718034744263
2020-10-15 09:09:02,210 - trainer - INFO - val_my_metric : 0.7266
2020-10-15 09:09:02,210 - trainer - INFO - val_my_metric2 : 0.9917999999999999
2020-10-15 09:09:02,210 - trainer - INFO - test_loss : 1.2924328804016114
2020-10-15 09:09:02,210 - trainer - INFO - test_my_metric : 0.7772
2020-10-15 09:09:02,210 - trainer - INFO - test_my_metric2: 0.9917999999999999
2020-10-15 09:09:53,642 - trainer - INFO - epoch : 27
2020-10-15 09:09:53,643 - trainer - INFO - loss : -12.138518051667647
2020-10-15 09:09:53,643 - trainer - INFO - my_metric : 0.7489667179608586
2020-10-15 09:09:53,643 - trainer - INFO - my_metric2 : 0.993524108270202
2020-10-15 09:09:53,643 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 09:09:53,643 - trainer - INFO - val_loss : 1.6144617557525636
2020-10-15 09:09:53,643 - trainer - INFO - val_my_metric : 0.7242
2020-10-15 09:09:53,643 - trainer - INFO - val_my_metric2 : 0.9917999999999999
2020-10-15 09:09:53,643 - trainer - INFO - test_loss : 1.3117577314376831
2020-10-15 09:09:53,643 - trainer - INFO - test_my_metric : 0.7763
2020-10-15 09:09:53,643 - trainer - INFO - test_my_metric2: 0.9914
2020-10-15 09:10:45,096 - trainer - INFO - epoch : 28
2020-10-15 09:10:45,096 - trainer - INFO - loss : -12.576450494202701
2020-10-15 09:10:45,096 - trainer - INFO - my_metric : 0.7578519570707072
2020-10-15 09:10:45,096 - trainer - INFO - my_metric2 : 0.9942787247474747
2020-10-15 09:10:45,096 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 09:10:45,096 - trainer - INFO - val_loss : 1.614862060546875
2020-10-15 09:10:45,096 - trainer - INFO - val_my_metric : 0.7356
2020-10-15 09:10:45,097 - trainer - INFO - val_my_metric2 : 0.9940000000000001
2020-10-15 09:10:45,097 - trainer - INFO - test_loss : 1.3138698220252991
2020-10-15 09:10:45,097 - trainer - INFO - test_my_metric : 0.7883000000000001
2020-10-15 09:10:45,097 - trainer - INFO - test_my_metric2: 0.9931000000000001
2020-10-15 09:10:46,771 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:11:38,197 - trainer - INFO - epoch : 29
2020-10-15 09:11:38,198 - trainer - INFO - loss : -12.990165431391109
2020-10-15 09:11:38,198 - trainer - INFO - my_metric : 0.761447482638889
2020-10-15 09:11:38,198 - trainer - INFO - my_metric2 : 0.994988952020202
2020-10-15 09:11:38,198 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 09:11:38,198 - trainer - INFO - val_loss : 1.6084392786026
2020-10-15 09:11:38,198 - trainer - INFO - val_my_metric : 0.7402
2020-10-15 09:11:38,198 - trainer - INFO - val_my_metric2 : 0.9944000000000001
2020-10-15 09:11:38,199 - trainer - INFO - test_loss : 1.2873205184936523
2020-10-15 09:11:38,199 - trainer - INFO - test_my_metric : 0.7906000000000001
2020-10-15 09:11:38,199 - trainer - INFO - test_my_metric2: 0.9929999999999998
2020-10-15 09:11:39,534 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:12:31,367 - trainer - INFO - epoch : 30
2020-10-15 09:12:31,368 - trainer - INFO - loss : -13.388513074679809
2020-10-15 09:12:31,368 - trainer - INFO - my_metric : 0.7674301609848485
2020-10-15 09:12:31,368 - trainer - INFO - my_metric2 : 0.995849609375
2020-10-15 09:12:31,368 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 09:12:31,368 - trainer - INFO - val_loss : 1.6258297920227052
2020-10-15 09:12:31,368 - trainer - INFO - val_my_metric : 0.7398
2020-10-15 09:12:31,368 - trainer - INFO - val_my_metric2 : 0.9945999999999999
2020-10-15 09:12:31,368 - trainer - INFO - test_loss : 1.2952921986579895
2020-10-15 09:12:31,368 - trainer - INFO - test_my_metric : 0.7945
2020-10-15 09:12:31,368 - trainer - INFO - test_my_metric2: 0.9933
2020-10-15 09:13:22,948 - trainer - INFO - epoch : 31
2020-10-15 09:13:22,948 - trainer - INFO - loss : -11.835183950987728
2020-10-15 09:13:22,948 - trainer - INFO - my_metric : 0.6928020438762627
2020-10-15 09:13:22,948 - trainer - INFO - my_metric2 : 0.9801629577020201
2020-10-15 09:13:22,948 - trainer - INFO - learning rate : [0.02]
2020-10-15 09:13:22,948 - trainer - INFO - val_loss : 3.4382235527038576
2020-10-15 09:13:22,948 - trainer - INFO - val_my_metric : 0.5622
2020-10-15 09:13:22,949 - trainer - INFO - val_my_metric2 : 0.9332
2020-10-15 09:13:22,949 - trainer - INFO - test_loss : 3.279822492599487
2020-10-15 09:13:22,949 - trainer - INFO - test_my_metric : 0.5901
2020-10-15 09:13:22,949 - trainer - INFO - test_my_metric2: 0.9268000000000003
2020-10-15 09:14:14,296 - trainer - INFO - epoch : 32
2020-10-15 09:14:14,296 - trainer - INFO - loss : -11.880360028960489
2020-10-15 09:14:14,296 - trainer - INFO - my_metric : 0.7045701152146464
2020-10-15 09:14:14,297 - trainer - INFO - my_metric2 : 0.9851789378156565
2020-10-15 09:14:14,297 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 09:14:14,297 - trainer - INFO - val_loss : 2.4986016750335693
2020-10-15 09:14:14,297 - trainer - INFO - val_my_metric : 0.65
2020-10-15 09:14:14,297 - trainer - INFO - val_my_metric2 : 0.9757999999999999
2020-10-15 09:14:14,297 - trainer - INFO - test_loss : 2.10113183259964
2020-10-15 09:14:14,297 - trainer - INFO - test_my_metric : 0.7046
2020-10-15 09:14:14,297 - trainer - INFO - test_my_metric2: 0.9766
2020-10-15 09:15:05,975 - trainer - INFO - epoch : 33
2020-10-15 09:15:05,976 - trainer - INFO - loss : -12.145039276643233
2020-10-15 09:15:05,976 - trainer - INFO - my_metric : 0.7237832425820707
2020-10-15 09:15:05,976 - trainer - INFO - my_metric2 : 0.9880469736426768
2020-10-15 09:15:05,976 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 09:15:05,977 - trainer - INFO - val_loss : 1.92933509349823
2020-10-15 09:15:05,977 - trainer - INFO - val_my_metric : 0.701
2020-10-15 09:15:05,977 - trainer - INFO - val_my_metric2 : 0.9876000000000001
2020-10-15 09:15:05,977 - trainer - INFO - test_loss : 1.5425511360168458
2020-10-15 09:15:05,977 - trainer - INFO - test_my_metric : 0.7593000000000001
2020-10-15 09:15:05,977 - trainer - INFO - test_my_metric2: 0.9865000000000002
2020-10-15 09:15:57,517 - trainer - INFO - epoch : 34
2020-10-15 09:15:57,517 - trainer - INFO - loss : -12.351038008928299
2020-10-15 09:15:57,518 - trainer - INFO - my_metric : 0.7332110164141414
2020-10-15 09:15:57,518 - trainer - INFO - my_metric2 : 0.989990234375
2020-10-15 09:15:57,518 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 09:15:57,518 - trainer - INFO - val_loss : 1.9126577138900758
2020-10-15 09:15:57,518 - trainer - INFO - val_my_metric : 0.7144
2020-10-15 09:15:57,518 - trainer - INFO - val_my_metric2 : 0.9902
2020-10-15 09:15:57,518 - trainer - INFO - test_loss : 1.5088931322097778
2020-10-15 09:15:57,518 - trainer - INFO - test_my_metric : 0.7694
2020-10-15 09:15:57,518 - trainer - INFO - test_my_metric2: 0.9883
2020-10-15 09:16:49,148 - trainer - INFO - epoch : 35
2020-10-15 09:16:49,149 - trainer - INFO - loss : -12.63537536426024
2020-10-15 09:16:49,149 - trainer - INFO - my_metric : 0.7415685172032828
2020-10-15 09:16:49,149 - trainer - INFO - my_metric2 : 0.9917929292929292
2020-10-15 09:16:49,149 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 09:16:49,149 - trainer - INFO - val_loss : 1.83176908493042
2020-10-15 09:16:49,149 - trainer - INFO - val_my_metric : 0.7228
2020-10-15 09:16:49,149 - trainer - INFO - val_my_metric2 : 0.9918000000000001
2020-10-15 09:16:49,149 - trainer - INFO - test_loss : 1.461145830154419
2020-10-15 09:16:49,149 - trainer - INFO - test_my_metric : 0.7765000000000001
2020-10-15 09:16:49,149 - trainer - INFO - test_my_metric2: 0.9897
2020-10-15 09:17:41,133 - trainer - INFO - epoch : 36
2020-10-15 09:17:41,134 - trainer - INFO - loss : -12.939930084076794
2020-10-15 09:17:41,134 - trainer - INFO - my_metric : 0.7497040719696969
2020-10-15 09:17:41,134 - trainer - INFO - my_metric2 : 0.9929519807449495
2020-10-15 09:17:41,134 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 09:17:41,134 - trainer - INFO - val_loss : 1.788953995704651
2020-10-15 09:17:41,134 - trainer - INFO - val_my_metric : 0.7236
2020-10-15 09:17:41,134 - trainer - INFO - val_my_metric2 : 0.9895999999999999
2020-10-15 09:17:41,134 - trainer - INFO - test_loss : 1.3359179615974426
2020-10-15 09:17:41,135 - trainer - INFO - test_my_metric : 0.7925000000000001
2020-10-15 09:17:41,135 - trainer - INFO - test_my_metric2: 0.9899999999999999
2020-10-15 09:18:32,649 - trainer - INFO - epoch : 37
2020-10-15 09:18:32,649 - trainer - INFO - loss : -13.278339849276977
2020-10-15 09:18:32,649 - trainer - INFO - my_metric : 0.7589444247159091
2020-10-15 09:18:32,649 - trainer - INFO - my_metric2 : 0.9946067116477273
2020-10-15 09:18:32,649 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 09:18:32,650 - trainer - INFO - val_loss : 1.6958820104599
2020-10-15 09:18:32,650 - trainer - INFO - val_my_metric : 0.7375999999999999
2020-10-15 09:18:32,650 - trainer - INFO - val_my_metric2 : 0.9922000000000001
2020-10-15 09:18:32,650 - trainer - INFO - test_loss : 1.266778838634491
2020-10-15 09:18:32,650 - trainer - INFO - test_my_metric : 0.8025
2020-10-15 09:18:32,650 - trainer - INFO - test_my_metric2: 0.9929
2020-10-15 09:19:24,430 - trainer - INFO - epoch : 38
2020-10-15 09:19:24,430 - trainer - INFO - loss : -13.61678710308942
2020-10-15 09:19:24,431 - trainer - INFO - my_metric : 0.7652501578282828
2020-10-15 09:19:24,431 - trainer - INFO - my_metric2 : 0.9955832741477273
2020-10-15 09:19:24,431 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 09:19:24,431 - trainer - INFO - val_loss : 1.6990442752838135
2020-10-15 09:19:24,431 - trainer - INFO - val_my_metric : 0.7364
2020-10-15 09:19:24,431 - trainer - INFO - val_my_metric2 : 0.9936
2020-10-15 09:19:24,431 - trainer - INFO - test_loss : 1.2790016770362853
2020-10-15 09:19:24,431 - trainer - INFO - test_my_metric : 0.8023
2020-10-15 09:19:24,431 - trainer - INFO - test_my_metric2: 0.9943
2020-10-15 09:20:15,929 - trainer - INFO - epoch : 39
2020-10-15 09:20:15,930 - trainer - INFO - loss : -13.941012577577071
2020-10-15 09:20:15,930 - trainer - INFO - my_metric : 0.7699899384469696
2020-10-15 09:20:15,930 - trainer - INFO - my_metric2 : 0.9959383877840909
2020-10-15 09:20:15,930 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 09:20:15,930 - trainer - INFO - val_loss : 1.7512467622756958
2020-10-15 09:20:15,931 - trainer - INFO - val_my_metric : 0.7395999999999999
2020-10-15 09:20:15,931 - trainer - INFO - val_my_metric2 : 0.9944
2020-10-15 09:20:15,931 - trainer - INFO - test_loss : 1.3019333243370057
2020-10-15 09:20:15,931 - trainer - INFO - test_my_metric : 0.8039000000000002
2020-10-15 09:20:15,931 - trainer - INFO - test_my_metric2: 0.9946999999999999
2020-10-15 09:21:07,564 - trainer - INFO - epoch : 40
2020-10-15 09:21:07,565 - trainer - INFO - loss : -14.246378568085758
2020-10-15 09:21:07,565 - trainer - INFO - my_metric : 0.7734029750631314
2020-10-15 09:21:07,565 - trainer - INFO - my_metric2 : 0.99609375
2020-10-15 09:21:07,565 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 09:21:07,565 - trainer - INFO - val_loss : 1.7104885816574096
2020-10-15 09:21:07,565 - trainer - INFO - val_my_metric : 0.7434
2020-10-15 09:21:07,565 - trainer - INFO - val_my_metric2 : 0.9945999999999999
2020-10-15 09:21:07,565 - trainer - INFO - test_loss : 1.2636656045913697
2020-10-15 09:21:07,565 - trainer - INFO - test_my_metric : 0.8084
2020-10-15 09:21:07,565 - trainer - INFO - test_my_metric2: 0.9949999999999999
2020-10-15 09:21:08,635 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:22:00,203 - trainer - INFO - epoch : 41
2020-10-15 09:22:00,204 - trainer - INFO - loss : -12.640275711363012
2020-10-15 09:22:00,204 - trainer - INFO - my_metric : 0.7033790048926768
2020-10-15 09:22:00,204 - trainer - INFO - my_metric2 : 0.9832480074179292
2020-10-15 09:22:00,204 - trainer - INFO - learning rate : [0.02]
2020-10-15 09:22:00,204 - trainer - INFO - val_loss : 2.6343740463256835
2020-10-15 09:22:00,205 - trainer - INFO - val_my_metric : 0.6315999999999999
2020-10-15 09:22:00,205 - trainer - INFO - val_my_metric2 : 0.9696
2020-10-15 09:22:00,205 - trainer - INFO - test_loss : 2.1429754972457884
2020-10-15 09:22:00,205 - trainer - INFO - test_my_metric : 0.6971
2020-10-15 09:22:00,205 - trainer - INFO - test_my_metric2: 0.9701000000000001
2020-10-15 09:22:51,787 - trainer - INFO - epoch : 42
2020-10-15 09:22:51,787 - trainer - INFO - loss : -12.517819225788116
2020-10-15 09:22:51,788 - trainer - INFO - my_metric : 0.7112383601641414
2020-10-15 09:22:51,788 - trainer - INFO - my_metric2 : 0.9856622869318182
2020-10-15 09:22:51,788 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 09:22:51,788 - trainer - INFO - val_loss : 2.132343578338623
2020-10-15 09:22:51,788 - trainer - INFO - val_my_metric : 0.7049999999999998
2020-10-15 09:22:51,788 - trainer - INFO - val_my_metric2 : 0.9853999999999999
2020-10-15 09:22:51,788 - trainer - INFO - test_loss : 1.7185420036315917
2020-10-15 09:22:51,788 - trainer - INFO - test_my_metric : 0.7674
2020-10-15 09:22:51,788 - trainer - INFO - test_my_metric2: 0.9863
2020-10-15 09:23:43,151 - trainer - INFO - epoch : 43
2020-10-15 09:23:43,152 - trainer - INFO - loss : -12.669029100374742
2020-10-15 09:23:43,152 - trainer - INFO - my_metric : 0.7264638573232323
2020-10-15 09:23:43,152 - trainer - INFO - my_metric2 : 0.9887843276515151
2020-10-15 09:23:43,152 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 09:23:43,152 - trainer - INFO - val_loss : 2.162450575828552
2020-10-15 09:23:43,152 - trainer - INFO - val_my_metric : 0.6858
2020-10-15 09:23:43,152 - trainer - INFO - val_my_metric2 : 0.9832000000000001
2020-10-15 09:23:43,152 - trainer - INFO - test_loss : 1.7482520818710328
2020-10-15 09:23:43,153 - trainer - INFO - test_my_metric : 0.7513
2020-10-15 09:23:43,153 - trainer - INFO - test_my_metric2: 0.9842000000000001
2020-10-15 09:24:34,471 - trainer - INFO - epoch : 44
2020-10-15 09:24:34,471 - trainer - INFO - loss : -12.875037412751805
2020-10-15 09:24:34,471 - trainer - INFO - my_metric : 0.738037109375
2020-10-15 09:24:34,471 - trainer - INFO - my_metric2 : 0.9909544665404041
2020-10-15 09:24:34,472 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 09:24:34,472 - trainer - INFO - val_loss : 1.9893471240997314
2020-10-15 09:24:34,472 - trainer - INFO - val_my_metric : 0.7103999999999999
2020-10-15 09:24:34,472 - trainer - INFO - val_my_metric2 : 0.9868
2020-10-15 09:24:34,472 - trainer - INFO - test_loss : 1.5750317215919494
2020-10-15 09:24:34,472 - trainer - INFO - test_my_metric : 0.7682
2020-10-15 09:24:34,472 - trainer - INFO - test_my_metric2: 0.9875999999999999
2020-10-15 09:25:26,341 - trainer - INFO - epoch : 45
2020-10-15 09:25:26,342 - trainer - INFO - loss : -13.112442111427134
2020-10-15 09:25:26,342 - trainer - INFO - my_metric : 0.7462491122159091
2020-10-15 09:25:26,342 - trainer - INFO - my_metric2 : 0.9927966185290404
2020-10-15 09:25:26,342 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 09:25:26,342 - trainer - INFO - val_loss : 1.941673493385315
2020-10-15 09:25:26,342 - trainer - INFO - val_my_metric : 0.7222
2020-10-15 09:25:26,342 - trainer - INFO - val_my_metric2 : 0.992
2020-10-15 09:25:26,343 - trainer - INFO - test_loss : 1.3966124415397645
2020-10-15 09:25:26,343 - trainer - INFO - test_my_metric : 0.7928
2020-10-15 09:25:26,343 - trainer - INFO - test_my_metric2: 0.9914999999999999
2020-10-15 09:26:18,074 - trainer - INFO - epoch : 46
2020-10-15 09:26:18,075 - trainer - INFO - loss : -13.409103615717454
2020-10-15 09:26:18,075 - trainer - INFO - my_metric : 0.7558717053345959
2020-10-15 09:26:18,075 - trainer - INFO - my_metric2 : 0.9933687460542928
2020-10-15 09:26:18,075 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 09:26:18,075 - trainer - INFO - val_loss : 1.7037278413772583
2020-10-15 09:26:18,075 - trainer - INFO - val_my_metric : 0.7316
2020-10-15 09:26:18,075 - trainer - INFO - val_my_metric2 : 0.9928000000000001
2020-10-15 09:26:18,075 - trainer - INFO - test_loss : 1.2959621906280518
2020-10-15 09:26:18,075 - trainer - INFO - test_my_metric : 0.8027
2020-10-15 09:26:18,075 - trainer - INFO - test_my_metric2: 0.9923
2020-10-15 09:27:09,584 - trainer - INFO - epoch : 47
2020-10-15 09:27:09,585 - trainer - INFO - loss : -13.697737604379654
2020-10-15 09:27:09,585 - trainer - INFO - my_metric : 0.7630528922032828
2020-10-15 09:27:09,585 - trainer - INFO - my_metric2 : 0.9945401278409091
2020-10-15 09:27:09,585 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 09:27:09,585 - trainer - INFO - val_loss : 1.8090957164764405
2020-10-15 09:27:09,585 - trainer - INFO - val_my_metric : 0.7358
2020-10-15 09:27:09,585 - trainer - INFO - val_my_metric2 : 0.9948
2020-10-15 09:27:09,586 - trainer - INFO - test_loss : 1.2457063436508178
2020-10-15 09:27:09,586 - trainer - INFO - test_my_metric : 0.8168999999999998
2020-10-15 09:27:09,586 - trainer - INFO - test_my_metric2: 0.9936999999999999
2020-10-15 09:28:01,456 - trainer - INFO - epoch : 48
2020-10-15 09:28:01,456 - trainer - INFO - loss : -14.018685243346475
2020-10-15 09:28:01,456 - trainer - INFO - my_metric : 0.7689985795454546
2020-10-15 09:28:01,457 - trainer - INFO - my_metric2 : 0.9961159446022727
2020-10-15 09:28:01,457 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 09:28:01,457 - trainer - INFO - val_loss : 1.7866284847259521
2020-10-15 09:28:01,457 - trainer - INFO - val_my_metric : 0.7452
2020-10-15 09:28:01,457 - trainer - INFO - val_my_metric2 : 0.994
2020-10-15 09:28:01,457 - trainer - INFO - test_loss : 1.2461126685142516
2020-10-15 09:28:01,457 - trainer - INFO - test_my_metric : 0.8161999999999999
2020-10-15 09:28:01,457 - trainer - INFO - test_my_metric2: 0.9947000000000001
2020-10-15 09:28:03,011 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:28:54,759 - trainer - INFO - epoch : 49
2020-10-15 09:28:54,760 - trainer - INFO - loss : -14.328060003844174
2020-10-15 09:28:54,760 - trainer - INFO - my_metric : 0.7734375
2020-10-15 09:28:54,760 - trainer - INFO - my_metric2 : 0.9962491122159091
2020-10-15 09:28:54,760 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 09:28:54,760 - trainer - INFO - val_loss : 1.7404865980148316
2020-10-15 09:28:54,760 - trainer - INFO - val_my_metric : 0.7451999999999999
2020-10-15 09:28:54,760 - trainer - INFO - val_my_metric2 : 0.9944000000000001
2020-10-15 09:28:54,760 - trainer - INFO - test_loss : 1.1640562057495116
2020-10-15 09:28:54,760 - trainer - INFO - test_my_metric : 0.8206999999999999
2020-10-15 09:28:54,760 - trainer - INFO - test_my_metric2: 0.9949
2020-10-15 09:29:46,229 - trainer - INFO - epoch : 50
2020-10-15 09:29:46,229 - trainer - INFO - loss : -14.612492840398442
2020-10-15 09:29:46,229 - trainer - INFO - my_metric : 0.7774497908775253
2020-10-15 09:29:46,229 - trainer - INFO - my_metric2 : 0.9963206281565656
2020-10-15 09:29:46,229 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 09:29:46,230 - trainer - INFO - val_loss : 1.7660479545593262
2020-10-15 09:29:46,230 - trainer - INFO - val_my_metric : 0.7454
2020-10-15 09:29:46,230 - trainer - INFO - val_my_metric2 : 0.9952
2020-10-15 09:29:46,230 - trainer - INFO - test_loss : 1.2121267914772034
2020-10-15 09:29:46,230 - trainer - INFO - test_my_metric : 0.8197000000000001
2020-10-15 09:29:46,230 - trainer - INFO - test_my_metric2: 0.9954000000000001
2020-10-15 09:29:46,820 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:30:38,298 - trainer - INFO - epoch : 51
2020-10-15 09:30:38,299 - trainer - INFO - loss : -12.941691935062408
2020-10-15 09:30:38,299 - trainer - INFO - my_metric : 0.7082420888573232
2020-10-15 09:30:38,299 - trainer - INFO - my_metric2 : 0.9835587318497474
2020-10-15 09:30:38,299 - trainer - INFO - learning rate : [0.02]
2020-10-15 09:30:38,299 - trainer - INFO - val_loss : 2.679944610595703
2020-10-15 09:30:38,299 - trainer - INFO - val_my_metric : 0.6604000000000001
2020-10-15 09:30:38,299 - trainer - INFO - val_my_metric2 : 0.9742
2020-10-15 09:30:38,299 - trainer - INFO - test_loss : 2.3570656299591066
2020-10-15 09:30:38,299 - trainer - INFO - test_my_metric : 0.7114999999999999
2020-10-15 09:30:38,299 - trainer - INFO - test_my_metric2: 0.9728999999999999
2020-10-15 09:31:29,921 - trainer - INFO - epoch : 52
2020-10-15 09:31:29,921 - trainer - INFO - loss : -12.814456351778723
2020-10-15 09:31:29,921 - trainer - INFO - my_metric : 0.7169078480113636
2020-10-15 09:31:29,921 - trainer - INFO - my_metric2 : 0.9861283735795454
2020-10-15 09:31:29,921 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 09:31:29,921 - trainer - INFO - val_loss : 2.3968521118164063
2020-10-15 09:31:29,921 - trainer - INFO - val_my_metric : 0.6698000000000001
2020-10-15 09:31:29,922 - trainer - INFO - val_my_metric2 : 0.9798
2020-10-15 09:31:29,922 - trainer - INFO - test_loss : 1.882361400127411
2020-10-15 09:31:29,922 - trainer - INFO - test_my_metric : 0.7375999999999999
2020-10-15 09:31:29,922 - trainer - INFO - test_my_metric2: 0.9797
2020-10-15 09:32:21,400 - trainer - INFO - epoch : 53
2020-10-15 09:32:21,400 - trainer - INFO - loss : -12.942627137357539
2020-10-15 09:32:21,401 - trainer - INFO - my_metric : 0.7312085700757577
2020-10-15 09:32:21,401 - trainer - INFO - my_metric2 : 0.98876953125
2020-10-15 09:32:21,401 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 09:32:21,401 - trainer - INFO - val_loss : 2.0422773122787476
2020-10-15 09:32:21,401 - trainer - INFO - val_my_metric : 0.7118
2020-10-15 09:32:21,401 - trainer - INFO - val_my_metric2 : 0.9902
2020-10-15 09:32:21,401 - trainer - INFO - test_loss : 1.5278717756271363
2020-10-15 09:32:21,401 - trainer - INFO - test_my_metric : 0.7796000000000001
2020-10-15 09:32:21,401 - trainer - INFO - test_my_metric2: 0.9911
2020-10-15 09:33:12,835 - trainer - INFO - epoch : 54
2020-10-15 09:33:12,835 - trainer - INFO - loss : -13.152947821400382
2020-10-15 09:33:12,835 - trainer - INFO - my_metric : 0.7434131352588383
2020-10-15 09:33:12,836 - trainer - INFO - my_metric2 : 0.9919211647727273
2020-10-15 09:33:12,836 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 09:33:12,836 - trainer - INFO - val_loss : 1.9067674160003663
2020-10-15 09:33:12,836 - trainer - INFO - val_my_metric : 0.7154
2020-10-15 09:33:12,836 - trainer - INFO - val_my_metric2 : 0.9870000000000001
2020-10-15 09:33:12,836 - trainer - INFO - test_loss : 1.4970640301704408
2020-10-15 09:33:12,836 - trainer - INFO - test_my_metric : 0.7765000000000001
2020-10-15 09:33:12,836 - trainer - INFO - test_my_metric2: 0.9898
2020-10-15 09:34:04,082 - trainer - INFO - epoch : 55
2020-10-15 09:34:04,083 - trainer - INFO - loss : -13.379109155048024
2020-10-15 09:34:04,083 - trainer - INFO - my_metric : 0.7521775370896464
2020-10-15 09:34:04,083 - trainer - INFO - my_metric2 : 0.9932528409090909
2020-10-15 09:34:04,083 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 09:34:04,083 - trainer - INFO - val_loss : 1.9737794876098633
2020-10-15 09:34:04,083 - trainer - INFO - val_my_metric : 0.724
2020-10-15 09:34:04,083 - trainer - INFO - val_my_metric2 : 0.99
2020-10-15 09:34:04,083 - trainer - INFO - test_loss : 1.422409451007843
2020-10-15 09:34:04,083 - trainer - INFO - test_my_metric : 0.8009000000000001
2020-10-15 09:34:04,083 - trainer - INFO - test_my_metric2: 0.992
2020-10-15 09:34:55,353 - trainer - INFO - epoch : 56
2020-10-15 09:34:55,353 - trainer - INFO - loss : -13.6724913418293
2020-10-15 09:34:55,353 - trainer - INFO - my_metric : 0.7602070509785354
2020-10-15 09:34:55,354 - trainer - INFO - my_metric2 : 0.9943403764204546
2020-10-15 09:34:55,354 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 09:34:55,354 - trainer - INFO - val_loss : 1.974674129486084
2020-10-15 09:34:55,354 - trainer - INFO - val_my_metric : 0.7287999999999999
2020-10-15 09:34:55,354 - trainer - INFO - val_my_metric2 : 0.992
2020-10-15 09:34:55,354 - trainer - INFO - test_loss : 1.4211949706077576
2020-10-15 09:34:55,354 - trainer - INFO - test_my_metric : 0.8017999999999998
2020-10-15 09:34:55,354 - trainer - INFO - test_my_metric2: 0.9918000000000001
2020-10-15 09:35:47,179 - trainer - INFO - epoch : 57
2020-10-15 09:35:47,179 - trainer - INFO - loss : -13.935123833743008
2020-10-15 09:35:47,179 - trainer - INFO - my_metric : 0.7658839370265151
2020-10-15 09:35:47,180 - trainer - INFO - my_metric2 : 0.9953662602588383
2020-10-15 09:35:47,180 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 09:35:47,180 - trainer - INFO - val_loss : 1.8254554748535157
2020-10-15 09:35:47,180 - trainer - INFO - val_my_metric : 0.7392
2020-10-15 09:35:47,180 - trainer - INFO - val_my_metric2 : 0.9924
2020-10-15 09:35:47,180 - trainer - INFO - test_loss : 1.3470670223236083
2020-10-15 09:35:47,180 - trainer - INFO - test_my_metric : 0.8087
2020-10-15 09:35:47,180 - trainer - INFO - test_my_metric2: 0.9936
2020-10-15 09:36:38,707 - trainer - INFO - epoch : 58
2020-10-15 09:36:38,708 - trainer - INFO - loss : -14.247029773213647
2020-10-15 09:36:38,708 - trainer - INFO - my_metric : 0.7722661182133838
2020-10-15 09:36:38,708 - trainer - INFO - my_metric2 : 0.9963156960227273
2020-10-15 09:36:38,708 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 09:36:38,708 - trainer - INFO - val_loss : 1.7155279874801637
2020-10-15 09:36:38,709 - trainer - INFO - val_my_metric : 0.7462
2020-10-15 09:36:38,709 - trainer - INFO - val_my_metric2 : 0.9938
2020-10-15 09:36:38,709 - trainer - INFO - test_loss : 1.1823547244071961
2020-10-15 09:36:38,709 - trainer - INFO - test_my_metric : 0.8177999999999999
2020-10-15 09:36:38,709 - trainer - INFO - test_my_metric2: 0.9943
2020-10-15 09:36:39,601 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:37:30,806 - trainer - INFO - epoch : 59
2020-10-15 09:37:30,807 - trainer - INFO - loss : -14.544539421796799
2020-10-15 09:37:30,807 - trainer - INFO - my_metric : 0.7765151515151515
2020-10-15 09:37:30,807 - trainer - INFO - my_metric2 : 0.9971368963068182
2020-10-15 09:37:30,807 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 09:37:30,807 - trainer - INFO - val_loss : 1.7588823080062865
2020-10-15 09:37:30,807 - trainer - INFO - val_my_metric : 0.7476
2020-10-15 09:37:30,807 - trainer - INFO - val_my_metric2 : 0.9949999999999999
2020-10-15 09:37:30,807 - trainer - INFO - test_loss : 1.20677011013031
2020-10-15 09:37:30,807 - trainer - INFO - test_my_metric : 0.8225999999999999
2020-10-15 09:37:30,807 - trainer - INFO - test_my_metric2: 0.9945
2020-10-15 09:37:31,390 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:38:23,516 - trainer - INFO - epoch : 60
2020-10-15 09:38:23,516 - trainer - INFO - loss : -14.826462420550259
2020-10-15 09:38:23,516 - trainer - INFO - my_metric : 0.7787642045454546
2020-10-15 09:38:23,516 - trainer - INFO - my_metric2 : 0.9972749960542928
2020-10-15 09:38:23,516 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 09:38:23,516 - trainer - INFO - val_loss : 1.763417625427246
2020-10-15 09:38:23,516 - trainer - INFO - val_my_metric : 0.7512
2020-10-15 09:38:23,516 - trainer - INFO - val_my_metric2 : 0.9947999999999999
2020-10-15 09:38:23,516 - trainer - INFO - test_loss : 1.1904496431350708
2020-10-15 09:38:23,516 - trainer - INFO - test_my_metric : 0.8267
2020-10-15 09:38:23,516 - trainer - INFO - test_my_metric2: 0.9953
2020-10-15 09:38:24,847 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:39:17,131 - trainer - INFO - epoch : 61
2020-10-15 09:39:17,131 - trainer - INFO - loss : -13.277633133259686
2020-10-15 09:39:17,132 - trainer - INFO - my_metric : 0.7141285905934344
2020-10-15 09:39:17,132 - trainer - INFO - my_metric2 : 0.9853959517045454
2020-10-15 09:39:17,132 - trainer - INFO - learning rate : [0.02]
2020-10-15 09:39:17,132 - trainer - INFO - val_loss : 2.861416292190552
2020-10-15 09:39:17,132 - trainer - INFO - val_my_metric : 0.6224000000000001
2020-10-15 09:39:17,132 - trainer - INFO - val_my_metric2 : 0.9715999999999999
2020-10-15 09:39:17,132 - trainer - INFO - test_loss : 2.208770775794983
2020-10-15 09:39:17,132 - trainer - INFO - test_my_metric : 0.7032
2020-10-15 09:39:17,132 - trainer - INFO - test_my_metric2: 0.9690999999999999
2020-10-15 09:40:09,169 - trainer - INFO - epoch : 62
2020-10-15 09:40:09,169 - trainer - INFO - loss : -12.959757812998511
2020-10-15 09:40:09,169 - trainer - INFO - my_metric : 0.7152013297032828
2020-10-15 09:40:09,169 - trainer - INFO - my_metric2 : 0.9862048216540404
2020-10-15 09:40:09,169 - trainer - INFO - learning rate : [0.01953503690480396]
2020-10-15 09:40:09,169 - trainer - INFO - val_loss : 2.1083473920822144
2020-10-15 09:40:09,169 - trainer - INFO - val_my_metric : 0.7106
2020-10-15 09:40:09,169 - trainer - INFO - val_my_metric2 : 0.9843999999999999
2020-10-15 09:40:09,169 - trainer - INFO - test_loss : 1.7211556434631348
2020-10-15 09:40:09,170 - trainer - INFO - test_my_metric : 0.769
2020-10-15 09:40:09,170 - trainer - INFO - test_my_metric2: 0.9833000000000001
2020-10-15 09:41:01,559 - trainer - INFO - epoch : 63
2020-10-15 09:41:01,559 - trainer - INFO - loss : -13.147498090158809
2020-10-15 09:41:01,559 - trainer - INFO - my_metric : 0.7358990293560606
2020-10-15 09:41:01,560 - trainer - INFO - my_metric2 : 0.989501953125
2020-10-15 09:41:01,560 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 09:41:01,560 - trainer - INFO - val_loss : 2.054829239845276
2020-10-15 09:41:01,560 - trainer - INFO - val_my_metric : 0.7138
2020-10-15 09:41:01,560 - trainer - INFO - val_my_metric2 : 0.9848000000000001
2020-10-15 09:41:01,560 - trainer - INFO - test_loss : 1.5213267087936402
2020-10-15 09:41:01,560 - trainer - INFO - test_my_metric : 0.7901000000000001
2020-10-15 09:41:01,560 - trainer - INFO - test_my_metric2: 0.9863000000000002
2020-10-15 09:41:53,534 - trainer - INFO - epoch : 64
2020-10-15 09:41:53,535 - trainer - INFO - loss : -13.277229143814607
2020-10-15 09:41:53,535 - trainer - INFO - my_metric : 0.7428188131313131
2020-10-15 09:41:53,535 - trainer - INFO - my_metric2 : 0.9912109375
2020-10-15 09:41:53,535 - trainer - INFO - learning rate : [0.016083959896778494]
2020-10-15 09:41:53,535 - trainer - INFO - val_loss : 1.911435031890869
2020-10-15 09:41:53,535 - trainer - INFO - val_my_metric : 0.726
2020-10-15 09:41:53,535 - trainer - INFO - val_my_metric2 : 0.9902
2020-10-15 09:41:53,535 - trainer - INFO - test_loss : 1.3295318126678466
2020-10-15 09:41:53,535 - trainer - INFO - test_my_metric : 0.7977
2020-10-15 09:41:53,535 - trainer - INFO - test_my_metric2: 0.9903000000000001
2020-10-15 09:42:45,983 - trainer - INFO - epoch : 65
2020-10-15 09:42:45,983 - trainer - INFO - loss : -13.522729724645615
2020-10-15 09:42:45,983 - trainer - INFO - my_metric : 0.752133147885101
2020-10-15 09:42:45,983 - trainer - INFO - my_metric2 : 0.9933416193181818
2020-10-15 09:42:45,983 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 09:42:45,984 - trainer - INFO - val_loss : 1.8582378387451173
2020-10-15 09:42:45,984 - trainer - INFO - val_my_metric : 0.7228
2020-10-15 09:42:45,984 - trainer - INFO - val_my_metric2 : 0.9928000000000001
2020-10-15 09:42:45,984 - trainer - INFO - test_loss : 1.3203251242637635
2020-10-15 09:42:45,984 - trainer - INFO - test_my_metric : 0.8026
2020-10-15 09:42:45,984 - trainer - INFO - test_my_metric2: 0.9888999999999999
2020-10-15 09:43:38,572 - trainer - INFO - epoch : 66
2020-10-15 09:43:38,572 - trainer - INFO - loss : -13.81418952074918
2020-10-15 09:43:38,572 - trainer - INFO - my_metric : 0.7627051767676768
2020-10-15 09:43:38,572 - trainer - INFO - my_metric2 : 0.9945401278409091
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2020-10-15 09:43:38,572 - trainer - INFO - val_loss : 1.871768879890442
2020-10-15 09:43:38,573 - trainer - INFO - val_my_metric : 0.738
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2020-10-15 09:43:38,573 - trainer - INFO - test_my_metric2: 0.9923000000000002
2020-10-15 09:44:31,061 - trainer - INFO - epoch : 67
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2020-10-15 09:45:23,097 - trainer - INFO - epoch : 68
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2020-10-15 09:45:23,097 - trainer - INFO - my_metric : 0.7752475931186869
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2020-10-15 09:45:23,098 - trainer - INFO - val_my_metric : 0.7494
2020-10-15 09:45:23,098 - trainer - INFO - val_my_metric2 : 0.9955999999999999
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2020-10-15 09:45:23,098 - trainer - INFO - test_my_metric2: 0.9946999999999999
2020-10-15 09:46:14,622 - trainer - INFO - epoch : 69
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2020-10-15 09:46:14,622 - trainer - INFO - my_metric : 0.7796371922348485
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2020-10-15 09:46:14,623 - trainer - INFO - test_my_metric2: 0.9949
2020-10-15 09:46:15,205 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:47:06,602 - trainer - INFO - epoch : 70
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2020-10-15 09:47:06,604 - trainer - INFO - val_my_metric2 : 0.9962
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2020-10-15 09:47:06,604 - trainer - INFO - test_my_metric2: 0.9948000000000002
2020-10-15 09:47:07,544 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 09:47:58,755 - trainer - INFO - epoch : 71
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2020-10-15 09:54:51,116 - trainer - INFO - epoch : 79
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2020-10-15 09:55:42,992 - trainer - INFO - epoch : 80
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2020-10-15 09:57:26,416 - trainer - INFO - epoch : 82
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2020-10-15 10:04:25,840 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
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2020-10-15 10:51:51,321 - trainer - INFO - my_metric : 0.780389342645202
2020-10-15 10:51:51,321 - trainer - INFO - my_metric2 : 0.9976695667613636
2020-10-15 10:51:51,322 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 10:51:51,322 - trainer - INFO - val_loss : 1.7788955450057984
2020-10-15 10:51:51,322 - trainer - INFO - val_my_metric : 0.7540000000000001
2020-10-15 10:51:51,322 - trainer - INFO - val_my_metric2 : 0.9945999999999999
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2020-10-15 10:51:51,322 - trainer - INFO - test_my_metric : 0.8353999999999999
2020-10-15 10:51:51,322 - trainer - INFO - test_my_metric2: 0.9949
2020-10-15 10:52:42,621 - trainer - INFO - epoch : 139
2020-10-15 10:52:42,621 - trainer - INFO - loss : -15.141585943373768
2020-10-15 10:52:42,621 - trainer - INFO - my_metric : 0.7834127406881314
2020-10-15 10:52:42,622 - trainer - INFO - my_metric2 : 0.9978471235795454
2020-10-15 10:52:42,622 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 10:52:42,622 - trainer - INFO - val_loss : 1.76551411151886
2020-10-15 10:52:42,622 - trainer - INFO - val_my_metric : 0.7538
2020-10-15 10:52:42,622 - trainer - INFO - val_my_metric2 : 0.9960000000000001
2020-10-15 10:52:42,622 - trainer - INFO - test_loss : 1.1275670647621154
2020-10-15 10:52:42,622 - trainer - INFO - test_my_metric : 0.8392
2020-10-15 10:52:42,622 - trainer - INFO - test_my_metric2: 0.9945999999999999
2020-10-15 10:53:34,591 - trainer - INFO - epoch : 140
2020-10-15 10:53:34,592 - trainer - INFO - loss : -15.411264273253353
2020-10-15 10:53:34,592 - trainer - INFO - my_metric : 0.7873066603535354
2020-10-15 10:53:34,592 - trainer - INFO - my_metric2 : 0.9981578480113636
2020-10-15 10:53:34,592 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 10:53:34,593 - trainer - INFO - val_loss : 1.7604850292205811
2020-10-15 10:53:34,593 - trainer - INFO - val_my_metric : 0.7574000000000001
2020-10-15 10:53:34,593 - trainer - INFO - val_my_metric2 : 0.9964000000000001
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2020-10-15 10:53:34,593 - trainer - INFO - test_my_metric2: 0.9949999999999999
2020-10-15 10:53:35,220 - trainer - INFO - Saving current best: model_best.pth at: saved/models/cifar10_resnet34_cosine_asym_40/1015_084616/model_best.pth ...
2020-10-15 10:54:27,351 - trainer - INFO - epoch : 141
2020-10-15 10:54:27,352 - trainer - INFO - loss : -13.762200488285584
2020-10-15 10:54:27,352 - trainer - INFO - my_metric : 0.7200471511994949
2020-10-15 10:54:27,352 - trainer - INFO - my_metric2 : 0.9851123540088383
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2020-10-15 10:54:27,352 - trainer - INFO - val_my_metric : 0.6758
2020-10-15 10:54:27,352 - trainer - INFO - val_my_metric2 : 0.9788
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2020-10-15 10:54:27,352 - trainer - INFO - test_my_metric : 0.7365999999999999
2020-10-15 10:54:27,352 - trainer - INFO - test_my_metric2: 0.9793999999999998
2020-10-15 10:55:19,207 - trainer - INFO - epoch : 142
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2020-10-15 10:55:19,208 - trainer - INFO - my_metric : 0.7226809106691919
2020-10-15 10:55:19,208 - trainer - INFO - my_metric2 : 0.98779296875
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2020-10-15 10:55:19,208 - trainer - INFO - val_my_metric : 0.703
2020-10-15 10:55:19,208 - trainer - INFO - val_my_metric2 : 0.9856
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2020-10-15 10:55:19,208 - trainer - INFO - test_my_metric : 0.768
2020-10-15 10:55:19,208 - trainer - INFO - test_my_metric2: 0.9812
2020-10-15 10:56:10,911 - trainer - INFO - epoch : 143
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2020-10-15 10:56:10,912 - trainer - INFO - my_metric : 0.7421702375315656
2020-10-15 10:56:10,912 - trainer - INFO - my_metric2 : 0.990966796875
2020-10-15 10:56:10,912 - trainer - INFO - learning rate : [0.018185661446562]
2020-10-15 10:56:10,912 - trainer - INFO - val_loss : 2.1507800340652468
2020-10-15 10:56:10,913 - trainer - INFO - val_my_metric : 0.7162
2020-10-15 10:56:10,913 - trainer - INFO - val_my_metric2 : 0.9914
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2020-10-15 10:56:10,913 - trainer - INFO - test_my_metric : 0.8019000000000001
2020-10-15 10:56:10,913 - trainer - INFO - test_my_metric2: 0.9901
2020-10-15 10:57:02,212 - trainer - INFO - epoch : 144
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2020-10-15 10:57:02,212 - trainer - INFO - my_metric : 0.7532848011363636
2020-10-15 10:57:02,212 - trainer - INFO - my_metric2 : 0.9933416193181818
2020-10-15 10:57:02,213 - trainer - INFO - learning rate : [0.016083959896778494]
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2020-10-15 10:57:02,213 - trainer - INFO - val_my_metric : 0.7322
2020-10-15 10:57:02,213 - trainer - INFO - val_my_metric2 : 0.9892
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2020-10-15 10:57:02,213 - trainer - INFO - test_my_metric : 0.8099999999999999
2020-10-15 10:57:02,213 - trainer - INFO - test_my_metric2: 0.9904999999999999
2020-10-15 10:57:53,712 - trainer - INFO - epoch : 145
2020-10-15 10:57:53,712 - trainer - INFO - loss : -14.053029759363694
2020-10-15 10:57:53,712 - trainer - INFO - my_metric : 0.7625029592803031
2020-10-15 10:57:53,712 - trainer - INFO - my_metric2 : 0.9952552872474747
2020-10-15 10:57:53,712 - trainer - INFO - learning rate : [0.013435661446562]
2020-10-15 10:57:53,712 - trainer - INFO - val_loss : 1.943193221092224
2020-10-15 10:57:53,712 - trainer - INFO - val_my_metric : 0.7367999999999999
2020-10-15 10:57:53,712 - trainer - INFO - val_my_metric2 : 0.9922000000000001
2020-10-15 10:57:53,712 - trainer - INFO - test_loss : 1.2904562115669251
2020-10-15 10:57:53,712 - trainer - INFO - test_my_metric : 0.8199
2020-10-15 10:57:53,712 - trainer - INFO - test_my_metric2: 0.9924
2020-10-15 10:58:45,006 - trainer - INFO - epoch : 146
2020-10-15 10:58:45,007 - trainer - INFO - loss : -14.296240709044717
2020-10-15 10:58:45,007 - trainer - INFO - my_metric : 0.7692920415088383
2020-10-15 10:58:45,007 - trainer - INFO - my_metric2 : 0.9954723011363636
2020-10-15 10:58:45,007 - trainer - INFO - learning rate : [0.010499999999999999]
2020-10-15 10:58:45,007 - trainer - INFO - val_loss : 1.775312328338623
2020-10-15 10:58:45,007 - trainer - INFO - val_my_metric : 0.7484
2020-10-15 10:58:45,007 - trainer - INFO - val_my_metric2 : 0.9936
2020-10-15 10:58:45,007 - trainer - INFO - test_loss : 1.0838894844055176
2020-10-15 10:58:45,007 - trainer - INFO - test_my_metric : 0.8352999999999999
2020-10-15 10:58:45,008 - trainer - INFO - test_my_metric2: 0.9940000000000001
2020-10-15 10:59:36,773 - trainer - INFO - epoch : 147
2020-10-15 10:59:36,773 - trainer - INFO - loss : -14.59655018828132
2020-10-15 10:59:36,773 - trainer - INFO - my_metric : 0.7756964172979799
2020-10-15 10:59:36,773 - trainer - INFO - my_metric2 : 0.9965918955176768
2020-10-15 10:59:36,773 - trainer - INFO - learning rate : [0.007564338553438]
2020-10-15 10:59:36,773 - trainer - INFO - val_loss : 1.8364390134811401
2020-10-15 10:59:36,773 - trainer - INFO - val_my_metric : 0.7474000000000001
2020-10-15 10:59:36,773 - trainer - INFO - val_my_metric2 : 0.9942
2020-10-15 10:59:36,774 - trainer - INFO - test_loss : 1.2150317311286927
2020-10-15 10:59:36,774 - trainer - INFO - test_my_metric : 0.8318
2020-10-15 10:59:36,774 - trainer - INFO - test_my_metric2: 0.9942
2020-10-15 11:00:28,622 - trainer - INFO - epoch : 148
2020-10-15 11:00:28,622 - trainer - INFO - loss : -14.875312041152608
2020-10-15 11:00:28,622 - trainer - INFO - my_metric : 0.7806852706755051
2020-10-15 11:00:28,622 - trainer - INFO - my_metric2 : 0.9971368963068182
2020-10-15 11:00:28,622 - trainer - INFO - learning rate : [0.004916040103221506]
2020-10-15 11:00:28,623 - trainer - INFO - val_loss : 1.77607102394104
2020-10-15 11:00:28,623 - trainer - INFO - val_my_metric : 0.7525999999999999
2020-10-15 11:00:28,623 - trainer - INFO - val_my_metric2 : 0.9954000000000001
2020-10-15 11:00:28,623 - trainer - INFO - test_loss : 1.1858563780784608
2020-10-15 11:00:28,623 - trainer - INFO - test_my_metric : 0.8328
2020-10-15 11:00:28,623 - trainer - INFO - test_my_metric2: 0.9949
2020-10-15 11:01:20,185 - trainer - INFO - epoch : 149
2020-10-15 11:01:20,185 - trainer - INFO - loss : -15.161081942644985
2020-10-15 11:01:20,185 - trainer - INFO - my_metric : 0.784206814236111
2020-10-15 11:01:20,186 - trainer - INFO - my_metric2 : 0.9977139559659091
2020-10-15 11:01:20,186 - trainer - INFO - learning rate : [0.0028143385534380003]
2020-10-15 11:01:20,186 - trainer - INFO - val_loss : 1.7621858835220336
2020-10-15 11:01:20,186 - trainer - INFO - val_my_metric : 0.7546
2020-10-15 11:01:20,186 - trainer - INFO - val_my_metric2 : 0.9947999999999999
2020-10-15 11:01:20,186 - trainer - INFO - test_loss : 1.1344384908676148
2020-10-15 11:01:20,186 - trainer - INFO - test_my_metric : 0.8392
2020-10-15 11:01:20,186 - trainer - INFO - test_my_metric2: 0.9953
2020-10-15 11:02:12,412 - trainer - INFO - epoch : 150
2020-10-15 11:02:12,412 - trainer - INFO - loss : -15.424039740454067
2020-10-15 11:02:12,412 - trainer - INFO - my_metric : 0.7865446456755051
2020-10-15 11:02:12,412 - trainer - INFO - my_metric2 : 0.9979359019886364
2020-10-15 11:02:12,412 - trainer - INFO - learning rate : [0.0014649630951960415]
2020-10-15 11:02:12,412 - trainer - INFO - val_loss : 1.7636088848114013
2020-10-15 11:02:12,412 - trainer - INFO - val_my_metric : 0.7554000000000001
2020-10-15 11:02:12,412 - trainer - INFO - val_my_metric2 : 0.9960000000000001
2020-10-15 11:02:12,412 - trainer - INFO - test_loss : 1.0888733506202697
2020-10-15 11:02:12,412 - trainer - INFO - test_my_metric : 0.843
2020-10-15 11:02:12,412 - trainer - INFO - test_my_metric2: 0.9959999999999999
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