| 2023-10-17 13:42:53,754 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,755 Model: "SequenceTagger( | |
| (embeddings): TransformerWordEmbeddings( | |
| (model): ElectraModel( | |
| (embeddings): ElectraEmbeddings( | |
| (word_embeddings): Embedding(32001, 768) | |
| (position_embeddings): Embedding(512, 768) | |
| (token_type_embeddings): Embedding(2, 768) | |
| (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True) | |
| (dropout): Dropout(p=0.1, inplace=False) | |
| ) | |
| (encoder): ElectraEncoder( | |
| (layer): ModuleList( | |
| (0-11): 12 x ElectraLayer( | |
| (attention): ElectraAttention( | |
| (self): ElectraSelfAttention( | |
| (query): Linear(in_features=768, out_features=768, bias=True) | |
| (key): Linear(in_features=768, out_features=768, bias=True) | |
| (value): Linear(in_features=768, out_features=768, bias=True) | |
| (dropout): Dropout(p=0.1, inplace=False) | |
| ) | |
| (output): ElectraSelfOutput( | |
| (dense): Linear(in_features=768, out_features=768, bias=True) | |
| (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True) | |
| (dropout): Dropout(p=0.1, inplace=False) | |
| ) | |
| ) | |
| (intermediate): ElectraIntermediate( | |
| (dense): Linear(in_features=768, out_features=3072, bias=True) | |
| (intermediate_act_fn): GELUActivation() | |
| ) | |
| (output): ElectraOutput( | |
| (dense): Linear(in_features=3072, out_features=768, bias=True) | |
| (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True) | |
| (dropout): Dropout(p=0.1, inplace=False) | |
| ) | |
| ) | |
| ) | |
| ) | |
| ) | |
| ) | |
| (locked_dropout): LockedDropout(p=0.5) | |
| (linear): Linear(in_features=768, out_features=13, bias=True) | |
| (loss_function): CrossEntropyLoss() | |
| )" | |
| 2023-10-17 13:42:53,755 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,755 MultiCorpus: 7936 train + 992 dev + 992 test sentences | |
| - NER_ICDAR_EUROPEANA Corpus: 7936 train + 992 dev + 992 test sentences - /root/.flair/datasets/ner_icdar_europeana/fr | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Train: 7936 sentences | |
| 2023-10-17 13:42:53,756 (train_with_dev=False, train_with_test=False) | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Training Params: | |
| 2023-10-17 13:42:53,756 - learning_rate: "5e-05" | |
| 2023-10-17 13:42:53,756 - mini_batch_size: "4" | |
| 2023-10-17 13:42:53,756 - max_epochs: "10" | |
| 2023-10-17 13:42:53,756 - shuffle: "True" | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Plugins: | |
| 2023-10-17 13:42:53,756 - TensorboardLogger | |
| 2023-10-17 13:42:53,756 - LinearScheduler | warmup_fraction: '0.1' | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Final evaluation on model from best epoch (best-model.pt) | |
| 2023-10-17 13:42:53,756 - metric: "('micro avg', 'f1-score')" | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Computation: | |
| 2023-10-17 13:42:53,756 - compute on device: cuda:0 | |
| 2023-10-17 13:42:53,756 - embedding storage: none | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Model training base path: "hmbench-icdar/fr-hmteams/teams-base-historic-multilingual-discriminator-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-4" | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:42:53,756 Logging anything other than scalars to TensorBoard is currently not supported. | |
| 2023-10-17 13:43:02,902 epoch 1 - iter 198/1984 - loss 1.99194816 - time (sec): 9.14 - samples/sec: 1812.16 - lr: 0.000005 - momentum: 0.000000 | |
| 2023-10-17 13:43:12,040 epoch 1 - iter 396/1984 - loss 1.12529108 - time (sec): 18.28 - samples/sec: 1834.45 - lr: 0.000010 - momentum: 0.000000 | |
| 2023-10-17 13:43:20,571 epoch 1 - iter 594/1984 - loss 0.84075243 - time (sec): 26.81 - samples/sec: 1828.97 - lr: 0.000015 - momentum: 0.000000 | |
| 2023-10-17 13:43:29,636 epoch 1 - iter 792/1984 - loss 0.67948072 - time (sec): 35.88 - samples/sec: 1809.73 - lr: 0.000020 - momentum: 0.000000 | |
| 2023-10-17 13:43:38,961 epoch 1 - iter 990/1984 - loss 0.56666412 - time (sec): 45.20 - samples/sec: 1828.99 - lr: 0.000025 - momentum: 0.000000 | |
| 2023-10-17 13:43:47,711 epoch 1 - iter 1188/1984 - loss 0.50179248 - time (sec): 53.95 - samples/sec: 1829.62 - lr: 0.000030 - momentum: 0.000000 | |
| 2023-10-17 13:43:56,331 epoch 1 - iter 1386/1984 - loss 0.45691609 - time (sec): 62.57 - samples/sec: 1836.93 - lr: 0.000035 - momentum: 0.000000 | |
| 2023-10-17 13:44:05,242 epoch 1 - iter 1584/1984 - loss 0.41865425 - time (sec): 71.48 - samples/sec: 1841.02 - lr: 0.000040 - momentum: 0.000000 | |
| 2023-10-17 13:44:14,524 epoch 1 - iter 1782/1984 - loss 0.38769661 - time (sec): 80.77 - samples/sec: 1834.44 - lr: 0.000045 - momentum: 0.000000 | |
| 2023-10-17 13:44:23,569 epoch 1 - iter 1980/1984 - loss 0.36361201 - time (sec): 89.81 - samples/sec: 1822.66 - lr: 0.000050 - momentum: 0.000000 | |
| 2023-10-17 13:44:23,744 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:44:23,744 EPOCH 1 done: loss 0.3635 - lr: 0.000050 | |
| 2023-10-17 13:44:26,902 DEV : loss 0.1107097640633583 - f1-score (micro avg) 0.7147 | |
| 2023-10-17 13:44:26,923 saving best model | |
| 2023-10-17 13:44:27,399 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:44:36,392 epoch 2 - iter 198/1984 - loss 0.12198282 - time (sec): 8.99 - samples/sec: 1816.59 - lr: 0.000049 - momentum: 0.000000 | |
| 2023-10-17 13:44:45,686 epoch 2 - iter 396/1984 - loss 0.12288858 - time (sec): 18.29 - samples/sec: 1802.37 - lr: 0.000049 - momentum: 0.000000 | |
| 2023-10-17 13:44:54,485 epoch 2 - iter 594/1984 - loss 0.12158637 - time (sec): 27.08 - samples/sec: 1790.77 - lr: 0.000048 - momentum: 0.000000 | |
| 2023-10-17 13:45:03,453 epoch 2 - iter 792/1984 - loss 0.12378321 - time (sec): 36.05 - samples/sec: 1793.41 - lr: 0.000048 - momentum: 0.000000 | |
| 2023-10-17 13:45:12,572 epoch 2 - iter 990/1984 - loss 0.11981922 - time (sec): 45.17 - samples/sec: 1793.52 - lr: 0.000047 - momentum: 0.000000 | |
| 2023-10-17 13:45:21,725 epoch 2 - iter 1188/1984 - loss 0.11892503 - time (sec): 54.32 - samples/sec: 1795.43 - lr: 0.000047 - momentum: 0.000000 | |
| 2023-10-17 13:45:30,864 epoch 2 - iter 1386/1984 - loss 0.11995066 - time (sec): 63.46 - samples/sec: 1807.05 - lr: 0.000046 - momentum: 0.000000 | |
| 2023-10-17 13:45:40,092 epoch 2 - iter 1584/1984 - loss 0.11971087 - time (sec): 72.69 - samples/sec: 1801.71 - lr: 0.000046 - momentum: 0.000000 | |
| 2023-10-17 13:45:49,162 epoch 2 - iter 1782/1984 - loss 0.11939199 - time (sec): 81.76 - samples/sec: 1797.41 - lr: 0.000045 - momentum: 0.000000 | |
| 2023-10-17 13:45:58,300 epoch 2 - iter 1980/1984 - loss 0.11867051 - time (sec): 90.90 - samples/sec: 1802.10 - lr: 0.000044 - momentum: 0.000000 | |
| 2023-10-17 13:45:58,474 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:45:58,474 EPOCH 2 done: loss 0.1188 - lr: 0.000044 | |
| 2023-10-17 13:46:02,349 DEV : loss 0.09292253851890564 - f1-score (micro avg) 0.7461 | |
| 2023-10-17 13:46:02,372 saving best model | |
| 2023-10-17 13:46:02,884 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:46:12,137 epoch 3 - iter 198/1984 - loss 0.08093006 - time (sec): 9.25 - samples/sec: 1833.94 - lr: 0.000044 - momentum: 0.000000 | |
| 2023-10-17 13:46:21,419 epoch 3 - iter 396/1984 - loss 0.08776510 - time (sec): 18.53 - samples/sec: 1800.42 - lr: 0.000043 - momentum: 0.000000 | |
| 2023-10-17 13:46:30,417 epoch 3 - iter 594/1984 - loss 0.08770434 - time (sec): 27.53 - samples/sec: 1795.44 - lr: 0.000043 - momentum: 0.000000 | |
| 2023-10-17 13:46:39,552 epoch 3 - iter 792/1984 - loss 0.08713512 - time (sec): 36.67 - samples/sec: 1797.16 - lr: 0.000042 - momentum: 0.000000 | |
| 2023-10-17 13:46:48,582 epoch 3 - iter 990/1984 - loss 0.08915958 - time (sec): 45.70 - samples/sec: 1808.80 - lr: 0.000042 - momentum: 0.000000 | |
| 2023-10-17 13:46:57,705 epoch 3 - iter 1188/1984 - loss 0.08975126 - time (sec): 54.82 - samples/sec: 1817.72 - lr: 0.000041 - momentum: 0.000000 | |
| 2023-10-17 13:47:06,969 epoch 3 - iter 1386/1984 - loss 0.08933047 - time (sec): 64.08 - samples/sec: 1822.52 - lr: 0.000041 - momentum: 0.000000 | |
| 2023-10-17 13:47:16,293 epoch 3 - iter 1584/1984 - loss 0.08968171 - time (sec): 73.41 - samples/sec: 1814.20 - lr: 0.000040 - momentum: 0.000000 | |
| 2023-10-17 13:47:25,592 epoch 3 - iter 1782/1984 - loss 0.09022258 - time (sec): 82.71 - samples/sec: 1798.16 - lr: 0.000039 - momentum: 0.000000 | |
| 2023-10-17 13:47:34,674 epoch 3 - iter 1980/1984 - loss 0.08989172 - time (sec): 91.79 - samples/sec: 1783.16 - lr: 0.000039 - momentum: 0.000000 | |
| 2023-10-17 13:47:34,856 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:47:34,856 EPOCH 3 done: loss 0.0899 - lr: 0.000039 | |
| 2023-10-17 13:47:38,254 DEV : loss 0.11529310792684555 - f1-score (micro avg) 0.7554 | |
| 2023-10-17 13:47:38,275 saving best model | |
| 2023-10-17 13:47:38,842 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:47:47,509 epoch 4 - iter 198/1984 - loss 0.05901225 - time (sec): 8.66 - samples/sec: 1941.15 - lr: 0.000038 - momentum: 0.000000 | |
| 2023-10-17 13:47:56,529 epoch 4 - iter 396/1984 - loss 0.07172775 - time (sec): 17.68 - samples/sec: 1856.82 - lr: 0.000038 - momentum: 0.000000 | |
| 2023-10-17 13:48:05,245 epoch 4 - iter 594/1984 - loss 0.06965845 - time (sec): 26.40 - samples/sec: 1845.67 - lr: 0.000037 - momentum: 0.000000 | |
| 2023-10-17 13:48:13,933 epoch 4 - iter 792/1984 - loss 0.07214150 - time (sec): 35.09 - samples/sec: 1873.43 - lr: 0.000037 - momentum: 0.000000 | |
| 2023-10-17 13:48:22,554 epoch 4 - iter 990/1984 - loss 0.07156799 - time (sec): 43.71 - samples/sec: 1878.28 - lr: 0.000036 - momentum: 0.000000 | |
| 2023-10-17 13:48:31,704 epoch 4 - iter 1188/1984 - loss 0.07472710 - time (sec): 52.86 - samples/sec: 1874.11 - lr: 0.000036 - momentum: 0.000000 | |
| 2023-10-17 13:48:40,821 epoch 4 - iter 1386/1984 - loss 0.07315463 - time (sec): 61.97 - samples/sec: 1855.64 - lr: 0.000035 - momentum: 0.000000 | |
| 2023-10-17 13:48:49,969 epoch 4 - iter 1584/1984 - loss 0.07446253 - time (sec): 71.12 - samples/sec: 1846.18 - lr: 0.000034 - momentum: 0.000000 | |
| 2023-10-17 13:48:59,484 epoch 4 - iter 1782/1984 - loss 0.07318315 - time (sec): 80.64 - samples/sec: 1826.73 - lr: 0.000034 - momentum: 0.000000 | |
| 2023-10-17 13:49:09,059 epoch 4 - iter 1980/1984 - loss 0.07161599 - time (sec): 90.21 - samples/sec: 1815.30 - lr: 0.000033 - momentum: 0.000000 | |
| 2023-10-17 13:49:09,239 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:49:09,239 EPOCH 4 done: loss 0.0716 - lr: 0.000033 | |
| 2023-10-17 13:49:12,748 DEV : loss 0.16965167224407196 - f1-score (micro avg) 0.7562 | |
| 2023-10-17 13:49:12,770 saving best model | |
| 2023-10-17 13:49:13,358 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:49:22,504 epoch 5 - iter 198/1984 - loss 0.05142115 - time (sec): 9.14 - samples/sec: 1744.82 - lr: 0.000033 - momentum: 0.000000 | |
| 2023-10-17 13:49:31,639 epoch 5 - iter 396/1984 - loss 0.05326253 - time (sec): 18.28 - samples/sec: 1783.51 - lr: 0.000032 - momentum: 0.000000 | |
| 2023-10-17 13:49:40,726 epoch 5 - iter 594/1984 - loss 0.05234995 - time (sec): 27.36 - samples/sec: 1766.40 - lr: 0.000032 - momentum: 0.000000 | |
| 2023-10-17 13:49:49,869 epoch 5 - iter 792/1984 - loss 0.05493024 - time (sec): 36.51 - samples/sec: 1766.69 - lr: 0.000031 - momentum: 0.000000 | |
| 2023-10-17 13:49:59,222 epoch 5 - iter 990/1984 - loss 0.05547255 - time (sec): 45.86 - samples/sec: 1768.21 - lr: 0.000031 - momentum: 0.000000 | |
| 2023-10-17 13:50:08,703 epoch 5 - iter 1188/1984 - loss 0.05535415 - time (sec): 55.34 - samples/sec: 1775.28 - lr: 0.000030 - momentum: 0.000000 | |
| 2023-10-17 13:50:17,849 epoch 5 - iter 1386/1984 - loss 0.05553716 - time (sec): 64.49 - samples/sec: 1780.41 - lr: 0.000029 - momentum: 0.000000 | |
| 2023-10-17 13:50:27,041 epoch 5 - iter 1584/1984 - loss 0.05438664 - time (sec): 73.68 - samples/sec: 1785.59 - lr: 0.000029 - momentum: 0.000000 | |
| 2023-10-17 13:50:36,058 epoch 5 - iter 1782/1984 - loss 0.05420342 - time (sec): 82.70 - samples/sec: 1785.78 - lr: 0.000028 - momentum: 0.000000 | |
| 2023-10-17 13:50:45,233 epoch 5 - iter 1980/1984 - loss 0.05491134 - time (sec): 91.87 - samples/sec: 1780.76 - lr: 0.000028 - momentum: 0.000000 | |
| 2023-10-17 13:50:45,422 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:50:45,423 EPOCH 5 done: loss 0.0548 - lr: 0.000028 | |
| 2023-10-17 13:50:48,854 DEV : loss 0.17186634242534637 - f1-score (micro avg) 0.7583 | |
| 2023-10-17 13:50:48,875 saving best model | |
| 2023-10-17 13:50:49,394 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:50:58,709 epoch 6 - iter 198/1984 - loss 0.04210687 - time (sec): 9.31 - samples/sec: 1797.63 - lr: 0.000027 - momentum: 0.000000 | |
| 2023-10-17 13:51:07,945 epoch 6 - iter 396/1984 - loss 0.04558327 - time (sec): 18.55 - samples/sec: 1786.69 - lr: 0.000027 - momentum: 0.000000 | |
| 2023-10-17 13:51:17,296 epoch 6 - iter 594/1984 - loss 0.04411621 - time (sec): 27.90 - samples/sec: 1776.05 - lr: 0.000026 - momentum: 0.000000 | |
| 2023-10-17 13:51:26,833 epoch 6 - iter 792/1984 - loss 0.04189826 - time (sec): 37.44 - samples/sec: 1766.81 - lr: 0.000026 - momentum: 0.000000 | |
| 2023-10-17 13:51:35,758 epoch 6 - iter 990/1984 - loss 0.04186020 - time (sec): 46.36 - samples/sec: 1790.47 - lr: 0.000025 - momentum: 0.000000 | |
| 2023-10-17 13:51:44,892 epoch 6 - iter 1188/1984 - loss 0.04179555 - time (sec): 55.50 - samples/sec: 1784.39 - lr: 0.000024 - momentum: 0.000000 | |
| 2023-10-17 13:51:54,014 epoch 6 - iter 1386/1984 - loss 0.04062803 - time (sec): 64.62 - samples/sec: 1802.35 - lr: 0.000024 - momentum: 0.000000 | |
| 2023-10-17 13:52:03,187 epoch 6 - iter 1584/1984 - loss 0.04047753 - time (sec): 73.79 - samples/sec: 1794.79 - lr: 0.000023 - momentum: 0.000000 | |
| 2023-10-17 13:52:12,464 epoch 6 - iter 1782/1984 - loss 0.04096866 - time (sec): 83.07 - samples/sec: 1783.58 - lr: 0.000023 - momentum: 0.000000 | |
| 2023-10-17 13:52:21,511 epoch 6 - iter 1980/1984 - loss 0.04137447 - time (sec): 92.11 - samples/sec: 1776.94 - lr: 0.000022 - momentum: 0.000000 | |
| 2023-10-17 13:52:21,692 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:52:21,692 EPOCH 6 done: loss 0.0414 - lr: 0.000022 | |
| 2023-10-17 13:52:25,752 DEV : loss 0.1979617029428482 - f1-score (micro avg) 0.7635 | |
| 2023-10-17 13:52:25,775 saving best model | |
| 2023-10-17 13:52:26,295 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:52:35,522 epoch 7 - iter 198/1984 - loss 0.02932924 - time (sec): 9.22 - samples/sec: 1697.08 - lr: 0.000022 - momentum: 0.000000 | |
| 2023-10-17 13:52:45,099 epoch 7 - iter 396/1984 - loss 0.02557373 - time (sec): 18.80 - samples/sec: 1741.96 - lr: 0.000021 - momentum: 0.000000 | |
| 2023-10-17 13:52:54,288 epoch 7 - iter 594/1984 - loss 0.02664735 - time (sec): 27.99 - samples/sec: 1753.83 - lr: 0.000021 - momentum: 0.000000 | |
| 2023-10-17 13:53:03,396 epoch 7 - iter 792/1984 - loss 0.02794794 - time (sec): 37.10 - samples/sec: 1758.17 - lr: 0.000020 - momentum: 0.000000 | |
| 2023-10-17 13:53:12,526 epoch 7 - iter 990/1984 - loss 0.02878967 - time (sec): 46.23 - samples/sec: 1767.18 - lr: 0.000019 - momentum: 0.000000 | |
| 2023-10-17 13:53:21,604 epoch 7 - iter 1188/1984 - loss 0.02864416 - time (sec): 55.30 - samples/sec: 1761.33 - lr: 0.000019 - momentum: 0.000000 | |
| 2023-10-17 13:53:30,974 epoch 7 - iter 1386/1984 - loss 0.02877632 - time (sec): 64.67 - samples/sec: 1751.38 - lr: 0.000018 - momentum: 0.000000 | |
| 2023-10-17 13:53:40,189 epoch 7 - iter 1584/1984 - loss 0.02875581 - time (sec): 73.89 - samples/sec: 1754.20 - lr: 0.000018 - momentum: 0.000000 | |
| 2023-10-17 13:53:49,370 epoch 7 - iter 1782/1984 - loss 0.02874451 - time (sec): 83.07 - samples/sec: 1755.94 - lr: 0.000017 - momentum: 0.000000 | |
| 2023-10-17 13:53:58,828 epoch 7 - iter 1980/1984 - loss 0.02854042 - time (sec): 92.53 - samples/sec: 1768.83 - lr: 0.000017 - momentum: 0.000000 | |
| 2023-10-17 13:53:59,013 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:53:59,014 EPOCH 7 done: loss 0.0285 - lr: 0.000017 | |
| 2023-10-17 13:54:02,405 DEV : loss 0.21675720810890198 - f1-score (micro avg) 0.756 | |
| 2023-10-17 13:54:02,426 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:54:11,532 epoch 8 - iter 198/1984 - loss 0.02131513 - time (sec): 9.10 - samples/sec: 1755.79 - lr: 0.000016 - momentum: 0.000000 | |
| 2023-10-17 13:54:20,688 epoch 8 - iter 396/1984 - loss 0.02216696 - time (sec): 18.26 - samples/sec: 1771.05 - lr: 0.000016 - momentum: 0.000000 | |
| 2023-10-17 13:54:29,689 epoch 8 - iter 594/1984 - loss 0.02326467 - time (sec): 27.26 - samples/sec: 1759.32 - lr: 0.000015 - momentum: 0.000000 | |
| 2023-10-17 13:54:38,755 epoch 8 - iter 792/1984 - loss 0.02241368 - time (sec): 36.33 - samples/sec: 1763.98 - lr: 0.000014 - momentum: 0.000000 | |
| 2023-10-17 13:54:47,967 epoch 8 - iter 990/1984 - loss 0.02005196 - time (sec): 45.54 - samples/sec: 1771.30 - lr: 0.000014 - momentum: 0.000000 | |
| 2023-10-17 13:54:57,291 epoch 8 - iter 1188/1984 - loss 0.01961340 - time (sec): 54.86 - samples/sec: 1775.08 - lr: 0.000013 - momentum: 0.000000 | |
| 2023-10-17 13:55:06,861 epoch 8 - iter 1386/1984 - loss 0.02145710 - time (sec): 64.43 - samples/sec: 1753.37 - lr: 0.000013 - momentum: 0.000000 | |
| 2023-10-17 13:55:16,241 epoch 8 - iter 1584/1984 - loss 0.02064329 - time (sec): 73.81 - samples/sec: 1762.80 - lr: 0.000012 - momentum: 0.000000 | |
| 2023-10-17 13:55:25,486 epoch 8 - iter 1782/1984 - loss 0.01981026 - time (sec): 83.06 - samples/sec: 1766.73 - lr: 0.000012 - momentum: 0.000000 | |
| 2023-10-17 13:55:34,752 epoch 8 - iter 1980/1984 - loss 0.02031700 - time (sec): 92.32 - samples/sec: 1772.93 - lr: 0.000011 - momentum: 0.000000 | |
| 2023-10-17 13:55:34,925 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:55:34,925 EPOCH 8 done: loss 0.0203 - lr: 0.000011 | |
| 2023-10-17 13:55:38,336 DEV : loss 0.22816428542137146 - f1-score (micro avg) 0.7689 | |
| 2023-10-17 13:55:38,358 saving best model | |
| 2023-10-17 13:55:38,938 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:55:47,982 epoch 9 - iter 198/1984 - loss 0.01192882 - time (sec): 9.04 - samples/sec: 1734.20 - lr: 0.000011 - momentum: 0.000000 | |
| 2023-10-17 13:55:56,918 epoch 9 - iter 396/1984 - loss 0.01286841 - time (sec): 17.97 - samples/sec: 1798.99 - lr: 0.000010 - momentum: 0.000000 | |
| 2023-10-17 13:56:05,849 epoch 9 - iter 594/1984 - loss 0.01438189 - time (sec): 26.91 - samples/sec: 1772.52 - lr: 0.000009 - momentum: 0.000000 | |
| 2023-10-17 13:56:14,942 epoch 9 - iter 792/1984 - loss 0.01318238 - time (sec): 36.00 - samples/sec: 1770.21 - lr: 0.000009 - momentum: 0.000000 | |
| 2023-10-17 13:56:24,030 epoch 9 - iter 990/1984 - loss 0.01351039 - time (sec): 45.09 - samples/sec: 1778.59 - lr: 0.000008 - momentum: 0.000000 | |
| 2023-10-17 13:56:32,852 epoch 9 - iter 1188/1984 - loss 0.01319278 - time (sec): 53.91 - samples/sec: 1793.12 - lr: 0.000008 - momentum: 0.000000 | |
| 2023-10-17 13:56:41,731 epoch 9 - iter 1386/1984 - loss 0.01309930 - time (sec): 62.79 - samples/sec: 1811.55 - lr: 0.000007 - momentum: 0.000000 | |
| 2023-10-17 13:56:51,161 epoch 9 - iter 1584/1984 - loss 0.01255843 - time (sec): 72.22 - samples/sec: 1810.15 - lr: 0.000007 - momentum: 0.000000 | |
| 2023-10-17 13:57:00,359 epoch 9 - iter 1782/1984 - loss 0.01307612 - time (sec): 81.42 - samples/sec: 1803.41 - lr: 0.000006 - momentum: 0.000000 | |
| 2023-10-17 13:57:09,450 epoch 9 - iter 1980/1984 - loss 0.01305751 - time (sec): 90.51 - samples/sec: 1807.63 - lr: 0.000006 - momentum: 0.000000 | |
| 2023-10-17 13:57:09,640 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:57:09,640 EPOCH 9 done: loss 0.0130 - lr: 0.000006 | |
| 2023-10-17 13:57:13,058 DEV : loss 0.23943665623664856 - f1-score (micro avg) 0.7711 | |
| 2023-10-17 13:57:13,081 saving best model | |
| 2023-10-17 13:57:13,702 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:57:22,874 epoch 10 - iter 198/1984 - loss 0.00790504 - time (sec): 9.17 - samples/sec: 1775.44 - lr: 0.000005 - momentum: 0.000000 | |
| 2023-10-17 13:57:32,117 epoch 10 - iter 396/1984 - loss 0.00810567 - time (sec): 18.41 - samples/sec: 1819.26 - lr: 0.000004 - momentum: 0.000000 | |
| 2023-10-17 13:57:41,199 epoch 10 - iter 594/1984 - loss 0.00780535 - time (sec): 27.49 - samples/sec: 1803.46 - lr: 0.000004 - momentum: 0.000000 | |
| 2023-10-17 13:57:50,230 epoch 10 - iter 792/1984 - loss 0.00784589 - time (sec): 36.53 - samples/sec: 1788.64 - lr: 0.000003 - momentum: 0.000000 | |
| 2023-10-17 13:57:59,203 epoch 10 - iter 990/1984 - loss 0.00744212 - time (sec): 45.50 - samples/sec: 1799.38 - lr: 0.000003 - momentum: 0.000000 | |
| 2023-10-17 13:58:08,284 epoch 10 - iter 1188/1984 - loss 0.00828425 - time (sec): 54.58 - samples/sec: 1802.08 - lr: 0.000002 - momentum: 0.000000 | |
| 2023-10-17 13:58:17,328 epoch 10 - iter 1386/1984 - loss 0.00823271 - time (sec): 63.62 - samples/sec: 1805.08 - lr: 0.000002 - momentum: 0.000000 | |
| 2023-10-17 13:58:26,441 epoch 10 - iter 1584/1984 - loss 0.00807062 - time (sec): 72.74 - samples/sec: 1805.28 - lr: 0.000001 - momentum: 0.000000 | |
| 2023-10-17 13:58:35,408 epoch 10 - iter 1782/1984 - loss 0.00842240 - time (sec): 81.70 - samples/sec: 1803.89 - lr: 0.000001 - momentum: 0.000000 | |
| 2023-10-17 13:58:44,477 epoch 10 - iter 1980/1984 - loss 0.00880008 - time (sec): 90.77 - samples/sec: 1803.88 - lr: 0.000000 - momentum: 0.000000 | |
| 2023-10-17 13:58:44,651 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:58:44,651 EPOCH 10 done: loss 0.0088 - lr: 0.000000 | |
| 2023-10-17 13:58:48,192 DEV : loss 0.2471495419740677 - f1-score (micro avg) 0.7779 | |
| 2023-10-17 13:58:48,221 saving best model | |
| 2023-10-17 13:58:49,148 ---------------------------------------------------------------------------------------------------- | |
| 2023-10-17 13:58:49,150 Loading model from best epoch ... | |
| 2023-10-17 13:58:51,929 SequenceTagger predicts: Dictionary with 13 tags: O, S-PER, B-PER, E-PER, I-PER, S-LOC, B-LOC, E-LOC, I-LOC, S-ORG, B-ORG, E-ORG, I-ORG | |
| 2023-10-17 13:58:54,795 | |
| Results: | |
| - F-score (micro) 0.7672 | |
| - F-score (macro) 0.6813 | |
| - Accuracy 0.653 | |
| By class: | |
| precision recall f1-score support | |
| LOC 0.8318 0.8382 0.8350 655 | |
| PER 0.6811 0.7758 0.7254 223 | |
| ORG 0.5043 0.4646 0.4836 127 | |
| micro avg 0.7575 0.7771 0.7672 1005 | |
| macro avg 0.6724 0.6928 0.6813 1005 | |
| weighted avg 0.7570 0.7771 0.7663 1005 | |
| 2023-10-17 13:58:54,795 ---------------------------------------------------------------------------------------------------- | |