| Started at: 14:35:41 | |
| ({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.5148831225931645 - MAE: 0.5717401937104571 | |
| Validation loss : 0.2637977067913328 - MAE: 0.38840288389383243 | |
| Epoch: 1 | |
| Training loss: 0.22355238869786262 - MAE: 0.36457738074752666 | |
| Validation loss : 0.18550117952483042 - MAE: 0.33709462610154617 | |
| Epoch: 2 | |
| Training loss: 0.17937548831105232 - MAE: 0.3234628805934402 | |
| Validation loss : 0.17123522928782872 - MAE: 0.32086013957174864 | |
| Epoch: 3 | |
| Training loss: 0.1695325642824173 - MAE: 0.3114796012088114 | |
| Validation loss : 0.16318601156984056 - MAE: 0.3101079978039711 | |
| Epoch: 4 | |
| Training loss: 0.16509018689393998 - MAE: 0.3072378507470887 | |
| Validation loss : 0.1592926542673792 - MAE: 0.3056558848172957 | |
| Epoch: 5 | |
| Training loss: 0.16046598702669143 - MAE: 0.303044331285367 | |
| Validation loss : 0.15616529541356222 - MAE: 0.30166225406063185 | |
| Epoch: 6 | |
| Training loss: 0.15852298438549042 - MAE: 0.3009307785405603 | |
| Validation loss : 0.15413524849074228 - MAE: 0.2993245805688041 | |
| Epoch: 7 | |
| Training loss: 0.16008334010839462 - MAE: 0.30212922477561954 | |
| Validation loss : 0.15307661890983582 - MAE: 0.2990570737812613 | |
| Epoch: 8 | |
| Training loss: 0.15456836074590682 - MAE: 0.29545184732608404 | |
| Validation loss : 0.15139280153172358 - MAE: 0.29666358196447234 | |
| Epoch: 9 | |
| Training loss: 0.15415965095162393 - MAE: 0.2973294361246028 | |
| Validation loss : 0.15034087747335434 - MAE: 0.29579916365257536 | |
| Epoch: 10 | |
| Training loss: 0.15282576270401477 - MAE: 0.29422172185258727 | |
| Validation loss : 0.14922223559447698 - MAE: 0.29406817504042493 | |
| Epoch: 11 | |
| Training loss: 0.15129870772361756 - MAE: 0.2937695883791608 | |
| Validation loss : 0.14889663351433619 - MAE: 0.29409298671091577 | |
| Epoch: 12 | |
| Training loss: 0.14924942068755626 - MAE: 0.29077671691338836 | |
| Validation loss : 0.14819952526262828 - MAE: 0.293515981502427 | |
| Epoch: 13 | |
| Training loss: 0.14768290407955648 - MAE: 0.28860147869712954 | |
| Validation loss : 0.1473628750869206 - MAE: 0.292228644346034 | |
| Epoch: 14 | |
| Training loss: 0.14938284009695052 - MAE: 0.2903649118535274 | |
| Validation loss : 0.14693938408579146 - MAE: 0.2919487725002162 | |
| Epoch: 15 | |
| Training loss: 0.14994451589882374 - MAE: 0.2905289516739269 | |
| Validation loss : 0.14572436575378692 - MAE: 0.28992763446752984 | |
| Epoch: 16 | |
| Training loss: 0.1469251111149788 - MAE: 0.28774191902489926 | |
| Validation loss : 0.14523377056632722 - MAE: 0.28957885312166826 | |
| Epoch: 17 | |
| Training loss: 0.14678827077150344 - MAE: 0.2885180482589809 | |
| Validation loss : 0.1449755451508931 - MAE: 0.2893659782622171 | |
| Epoch: 18 | |
| Training loss: 0.14637487456202508 - MAE: 0.28800478369700766 | |
| Validation loss : 0.1460252052971295 - MAE: 0.29196564307626566 | |
| Epoch: 19 | |
| Training loss: 0.14507675878703594 - MAE: 0.28583012626825594 | |
| Validation loss : 0.14487631831850326 - MAE: 0.2902629661846526 | |
| Epoch: 20 | |
| Training loss: 0.14673681631684304 - MAE: 0.2875517799995585 | |
| Validation loss : 0.14359714835882187 - MAE: 0.28771053962679394 | |
| Epoch: 21 | |
| Training loss: 0.14335104636847973 - MAE: 0.2862076689879582 | |
| Validation loss : 0.1439326267157282 - MAE: 0.2889873190056026 | |
| Epoch: 22 | |
| Training loss: 0.1432311225682497 - MAE: 0.2842625966996239 | |
| Validation loss : 0.1431185645716531 - MAE: 0.28751057333810587 | |
| Epoch: 23 | |
| Training loss: 0.14304748065769674 - MAE: 0.2833027954636 | |
| Validation loss : 0.1428381438766207 - MAE: 0.28713780701478436 | |
| Epoch: 24 | |
| Training loss: 0.14403066076338292 - MAE: 0.2857023735925809 | |
| Validation loss : 0.14265520977122442 - MAE: 0.28682219274206056 | |
| Epoch: 25 | |
| Training loss: 0.14255248457193376 - MAE: 0.28287889983516934 | |
| Validation loss : 0.14295031236750738 - MAE: 0.2877500089028174 | |
| Epoch: 26 | |
| Training loss: 0.14333937354385853 - MAE: 0.28466022775789757 | |
| Validation loss : 0.14245578540222986 - MAE: 0.28645623852276386 | |
| Epoch: 27 | |
| Training loss: 0.1406068753451109 - MAE: 0.2814346750083851 | |
| Validation loss : 0.1424515630517687 - MAE: 0.28636385227467903 | |
| Epoch: 28 | |
| Training loss: 0.14073531925678254 - MAE: 0.2825125123109717 | |
| Validation loss : 0.14264522918633052 - MAE: 0.28707601063725485 | |
| Epoch: 29 | |
| Training loss: 0.1426502138376236 - MAE: 0.283123673289194 | |
| Validation loss : 0.14341425789254053 - MAE: 0.2887102281143991 | |
| Epoch: 30 | |
| Training loss: 0.1425510372966528 - MAE: 0.2834186623722268 | |
| Validation loss : 0.14221951791218349 - MAE: 0.28662743018676295 | |
| Stopped after 30 epochs. | |
| Prediction MAE: 0.2749 | |
| Finished at: 14:35:41 | |