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2021-05-21 21:14:28,688 INFO __main__ Namespace(adjust_lr=False, config='torchdistill/configs/sample/glue/qqp/ce/bert_large_uncased.yaml', log='log/glue/qqp/ce/bert_large_uncased.txt', private_output='leaderboard/glue/standard/bert_large_uncased/', seed=None, student_only=False, task_name='qqp', test_only=False, world_size=1) |
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2021-05-21 21:14:28,730 INFO __main__ Distributed environment: NO |
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Num processes: 1 |
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Process index: 0 |
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Local process index: 0 |
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Device: cuda |
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Use FP16 precision: True |
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2021-05-21 21:16:07,804 INFO __main__ Start training |
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2021-05-21 21:16:07,804 INFO torchdistill.models.util [student model] |
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2021-05-21 21:16:07,804 INFO torchdistill.models.util Using the original student model |
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2021-05-21 21:16:07,804 INFO torchdistill.core.training Loss = 1.0 * OrgLoss |
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2021-05-21 21:16:11,237 INFO torchdistill.misc.log Epoch: [0] [ 0/11371] eta: 2:37:49 lr: 1.9999413713247152e-05 sample/s: 4.944792458146497 loss: 0.6525 (0.6525) time: 0.8328 data: 0.0239 max mem: 5401 |
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2021-05-21 21:29:10,487 INFO torchdistill.misc.log Epoch: [0] [ 1000/11371] eta: 2:14:42 lr: 1.941312696039633e-05 sample/s: 4.011099056159446 loss: 0.3216 (0.4234) time: 0.7933 data: 0.0040 max mem: 12422 |
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2021-05-21 21:42:14,805 INFO torchdistill.misc.log Epoch: [0] [ 2000/11371] eta: 2:02:06 lr: 1.8826840207545512e-05 sample/s: 5.070043791535248 loss: 0.2346 (0.3648) time: 0.7847 data: 0.0039 max mem: 12422 |
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2021-05-21 21:55:25,365 INFO torchdistill.misc.log Epoch: [0] [ 3000/11371] eta: 1:49:28 lr: 1.824055345469469e-05 sample/s: 3.7257152095252013 loss: 0.2308 (0.3350) time: 0.8381 data: 0.0039 max mem: 12422 |
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2021-05-21 22:08:29,622 INFO torchdistill.misc.log Epoch: [0] [ 4000/11371] eta: 1:36:23 lr: 1.7654266701843875e-05 sample/s: 6.351632958557614 loss: 0.2229 (0.3187) time: 0.7550 data: 0.0041 max mem: 12422 |
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2021-05-21 22:21:35,419 INFO torchdistill.misc.log Epoch: [0] [ 5000/11371] eta: 1:23:20 lr: 1.7067979948993053e-05 sample/s: 4.302527628708725 loss: 0.2084 (0.3052) time: 0.8191 data: 0.0039 max mem: 12422 |
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2021-05-21 22:34:36,763 INFO torchdistill.misc.log Epoch: [0] [ 6000/11371] eta: 1:10:12 lr: 1.6481693196142235e-05 sample/s: 5.6633386499236265 loss: 0.2572 (0.2948) time: 0.8056 data: 0.0038 max mem: 12422 |
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2021-05-21 22:47:34,791 INFO torchdistill.misc.log Epoch: [0] [ 7000/11371] eta: 0:57:04 lr: 1.5895406443291413e-05 sample/s: 5.072499497352218 loss: 0.2353 (0.2871) time: 0.6971 data: 0.0038 max mem: 12422 |
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2021-05-21 23:00:34,392 INFO torchdistill.misc.log Epoch: [0] [ 8000/11371] eta: 0:43:59 lr: 1.5309119690440595e-05 sample/s: 4.661598999284807 loss: 0.2822 (0.2804) time: 0.7155 data: 0.0037 max mem: 12422 |
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2021-05-21 23:13:36,395 INFO torchdistill.misc.log Epoch: [0] [ 9000/11371] eta: 0:30:56 lr: 1.4722832937589777e-05 sample/s: 3.0764357080524487 loss: 0.2347 (0.2753) time: 0.8115 data: 0.0038 max mem: 12422 |
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2021-05-21 23:26:42,471 INFO torchdistill.misc.log Epoch: [0] [10000/11371] eta: 0:17:53 lr: 1.4136546184738957e-05 sample/s: 4.663713788370137 loss: 0.2396 (0.2712) time: 0.8491 data: 0.0038 max mem: 12422 |
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2021-05-21 23:39:45,157 INFO torchdistill.misc.log Epoch: [0] [11000/11371] eta: 0:04:50 lr: 1.3550259431888138e-05 sample/s: 4.012062097322281 loss: 0.1471 (0.2671) time: 0.7898 data: 0.0039 max mem: 12422 |
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2021-05-21 23:44:36,131 INFO torchdistill.misc.log Epoch: [0] Total time: 2:28:25 |
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2021-05-21 23:49:50,700 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow |
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2021-05-21 23:49:50,702 INFO __main__ Validation: accuracy = 0.9027702201335642, f1 = 0.8675583706748424 |
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2021-05-21 23:49:50,702 INFO __main__ Updating ckpt |
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2021-05-21 23:49:56,489 INFO torchdistill.misc.log Epoch: [1] [ 0/11371] eta: 3:51:24 lr: 1.3332747046580484e-05 sample/s: 4.572169832788334 loss: 0.2259 (0.2259) time: 1.2211 data: 0.3462 max mem: 12422 |
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2021-05-22 00:03:04,241 INFO torchdistill.misc.log Epoch: [1] [ 1000/11371] eta: 2:16:14 lr: 1.2746460293729664e-05 sample/s: 4.007176855215162 loss: 0.0992 (0.1365) time: 0.8028 data: 0.0039 max mem: 12422 |
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2021-05-22 00:16:04,871 INFO torchdistill.misc.log Epoch: [1] [ 2000/11371] eta: 2:02:30 lr: 1.2160173540878845e-05 sample/s: 4.009962993707042 loss: 0.0747 (0.1359) time: 0.7765 data: 0.0039 max mem: 12422 |
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2021-05-22 00:29:08,342 INFO torchdistill.misc.log Epoch: [1] [ 3000/11371] eta: 1:49:23 lr: 1.1573886788028025e-05 sample/s: 5.6609041606451935 loss: 0.0760 (0.1343) time: 0.7970 data: 0.0039 max mem: 12422 |
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2021-05-22 00:42:10,684 INFO torchdistill.misc.log Epoch: [1] [ 4000/11371] eta: 1:36:16 lr: 1.0987600035177207e-05 sample/s: 6.341786798200569 loss: 0.1134 (0.1346) time: 0.7267 data: 0.0039 max mem: 12422 |
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2021-05-22 00:55:10,248 INFO torchdistill.misc.log Epoch: [1] [ 5000/11371] eta: 1:23:07 lr: 1.0401313282326387e-05 sample/s: 5.659105436374927 loss: 0.0943 (0.1348) time: 0.7889 data: 0.0039 max mem: 12422 |
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2021-05-22 01:08:07,447 INFO torchdistill.misc.log Epoch: [1] [ 6000/11371] eta: 1:09:59 lr: 9.815026529475568e-06 sample/s: 6.343112724248096 loss: 0.0754 (0.1327) time: 0.7515 data: 0.0038 max mem: 12422 |
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2021-05-22 01:21:16,896 INFO torchdistill.misc.log Epoch: [1] [ 7000/11371] eta: 0:57:02 lr: 9.228739776624748e-06 sample/s: 5.65419436940216 loss: 0.1113 (0.1310) time: 0.7775 data: 0.0040 max mem: 12422 |
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2021-05-22 01:34:26,830 INFO torchdistill.misc.log Epoch: [1] [ 8000/11371] eta: 0:44:02 lr: 8.642453023773928e-06 sample/s: 5.655715411651359 loss: 0.0946 (0.1307) time: 0.7769 data: 0.0039 max mem: 12422 |
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2021-05-22 01:47:30,469 INFO torchdistill.misc.log Epoch: [1] [ 9000/11371] eta: 0:30:58 lr: 8.05616627092311e-06 sample/s: 4.297865363806276 loss: 0.0730 (0.1305) time: 0.8130 data: 0.0039 max mem: 12422 |
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2021-05-22 02:00:41,929 INFO torchdistill.misc.log Epoch: [1] [10000/11371] eta: 0:17:55 lr: 7.469879518072289e-06 sample/s: 5.66297735715824 loss: 0.1144 (0.1305) time: 0.7982 data: 0.0038 max mem: 12422 |
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2021-05-22 02:13:41,396 INFO torchdistill.misc.log Epoch: [1] [11000/11371] eta: 0:04:50 lr: 6.883592765221471e-06 sample/s: 6.346625629944702 loss: 0.0934 (0.1305) time: 0.7557 data: 0.0039 max mem: 12422 |
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2021-05-22 02:18:28,506 INFO torchdistill.misc.log Epoch: [1] Total time: 2:28:33 |
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2021-05-22 02:23:43,038 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow |
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2021-05-22 02:23:43,039 INFO __main__ Validation: accuracy = 0.9108088053425674, f1 = 0.8808564065287783 |
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2021-05-22 02:23:43,040 INFO __main__ Updating ckpt |
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2021-05-22 02:23:49,042 INFO torchdistill.misc.log Epoch: [2] [ 0/11371] eta: 3:17:44 lr: 6.666080379913816e-06 sample/s: 3.9286506100722214 loss: 0.0282 (0.0282) time: 1.0434 data: 0.0252 max mem: 12422 |
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2021-05-22 02:36:56,578 INFO torchdistill.misc.log Epoch: [2] [ 1000/11371] eta: 2:16:10 lr: 6.079793627062997e-06 sample/s: 5.072415148418462 loss: 0.0815 (0.1079) time: 0.7822 data: 0.0037 max mem: 12422 |
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2021-05-22 02:50:00,419 INFO torchdistill.misc.log Epoch: [2] [ 2000/11371] eta: 2:02:43 lr: 5.493506874212178e-06 sample/s: 7.06030068068721 loss: 0.0005 (0.1391) time: 0.7939 data: 0.0038 max mem: 12422 |
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2021-05-22 03:03:02,755 INFO torchdistill.misc.log Epoch: [2] [ 3000/11371] eta: 1:49:28 lr: 4.9072201213613585e-06 sample/s: 5.067682304480508 loss: 0.0020 (0.1500) time: 0.8177 data: 0.0039 max mem: 12422 |
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2021-05-22 03:16:05,350 INFO torchdistill.misc.log Epoch: [2] [ 4000/11371] eta: 1:36:19 lr: 4.3209333685105384e-06 sample/s: 4.658021705874024 loss: 0.0001 (0.1574) time: 0.7454 data: 0.0039 max mem: 12422 |
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2021-05-22 03:29:12,334 INFO torchdistill.misc.log Epoch: [2] [ 5000/11371] eta: 1:23:19 lr: 3.7346466156597192e-06 sample/s: 5.075143340627668 loss: 0.0064 (0.1614) time: 0.7441 data: 0.0038 max mem: 12422 |
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2021-05-22 03:42:11,969 INFO torchdistill.misc.log Epoch: [2] [ 6000/11371] eta: 1:10:10 lr: 3.1483598628089e-06 sample/s: 6.343976192907029 loss: 0.0000 (0.1654) time: 0.7401 data: 0.0039 max mem: 12422 |
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2021-05-22 03:55:11,370 INFO torchdistill.misc.log Epoch: [2] [ 7000/11371] eta: 0:57:03 lr: 2.562073109958081e-06 sample/s: 5.667865404034177 loss: 0.3340 (0.1671) time: 0.7892 data: 0.0038 max mem: 12422 |
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2021-05-22 04:08:12,458 INFO torchdistill.misc.log Epoch: [2] [ 8000/11371] eta: 0:43:59 lr: 1.9757863571072612e-06 sample/s: 4.010017625015954 loss: 0.0000 (0.1712) time: 0.7973 data: 0.0037 max mem: 12422 |
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2021-05-22 04:21:14,312 INFO torchdistill.misc.log Epoch: [2] [ 9000/11371] eta: 0:30:56 lr: 1.3894996042564418e-06 sample/s: 5.713281224193597 loss: 0.3198 (0.1729) time: 0.7105 data: 0.0037 max mem: 12422 |
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2021-05-22 04:34:21,836 INFO torchdistill.misc.log Epoch: [2] [10000/11371] eta: 0:17:53 lr: 8.032128514056225e-07 sample/s: 4.659584478287122 loss: 0.2673 (0.1738) time: 0.7881 data: 0.0038 max mem: 12422 |
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2021-05-22 04:47:25,082 INFO torchdistill.misc.log Epoch: [2] [11000/11371] eta: 0:04:50 lr: 2.169260985548032e-07 sample/s: 5.66490287198808 loss: 0.0145 (0.1735) time: 0.7445 data: 0.0037 max mem: 12422 |
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2021-05-22 04:52:14,855 INFO torchdistill.misc.log Epoch: [2] Total time: 2:28:26 |
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2021-05-22 04:57:29,103 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow |
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2021-05-22 04:57:29,104 INFO __main__ Validation: accuracy = 0.9102646549591887, f1 = 0.8795324744321955 |
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2021-05-22 04:57:39,663 INFO __main__ [Student: bert-large-uncased] |
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2021-05-22 05:02:54,796 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow |
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2021-05-22 05:02:54,797 INFO __main__ Test: accuracy = 0.9108088053425674, f1 = 0.8808564065287783 |
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2021-05-22 05:02:54,797 INFO __main__ Start prediction for private dataset(s) |
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2021-05-22 05:02:54,798 INFO __main__ qqp/test: 390965 samples |
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