| Started at: 12:34:41 | |
| norbert2, 0.001, 128 | |
| ({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.2549108934402466 - MAE: 0.3869476704225354 | |
| Validation loss : 0.17967465169289532 - MAE: 0.32511726772455946 | |
| Epoch: 1 | |
| Training loss: 0.18461654603481292 - MAE: 0.32631207394936323 | |
| Validation loss : 0.16705343916135676 - MAE: 0.3136336903292028 | |
| Epoch: 2 | |
| Training loss: 0.1698657414317131 - MAE: 0.312740198772678 | |
| Validation loss : 0.16012747936389027 - MAE: 0.3062873321185852 | |
| Epoch: 3 | |
| Training loss: 0.16400991275906562 - MAE: 0.30695357768639636 | |
| Validation loss : 0.1566739748505985 - MAE: 0.3014212709482245 | |
| Epoch: 4 | |
| Training loss: 0.15812634140253068 - MAE: 0.30061261922994836 | |
| Validation loss : 0.15389862744247212 - MAE: 0.29856862971490655 | |
| Epoch: 5 | |
| Training loss: 0.15597046166658401 - MAE: 0.2974718498748344 | |
| Validation loss : 0.1514885302852182 - MAE: 0.2959877719065883 | |
| Epoch: 6 | |
| Training loss: 0.15466642245650292 - MAE: 0.2970412442646543 | |
| Validation loss : 0.14941750554477468 - MAE: 0.2942382126775654 | |
| Epoch: 7 | |
| Training loss: 0.15143263101577759 - MAE: 0.29342989017337273 | |
| Validation loss : 0.1488131617798525 - MAE: 0.29307345811839686 | |
| Epoch: 8 | |
| Training loss: 0.14901014417409897 - MAE: 0.2907700225602062 | |
| Validation loss : 0.14839802638572805 - MAE: 0.2904832100053706 | |
| Epoch: 9 | |
| Training loss: 0.1495199640095234 - MAE: 0.29170948130625873 | |
| Validation loss : 0.1499759489122559 - MAE: 0.2957880675924255 | |
| Epoch: 10 | |
| Training loss: 0.14821490436792373 - MAE: 0.2908893913009485 | |
| Validation loss : 0.14694484104128444 - MAE: 0.28966224887354336 | |
| Epoch: 11 | |
| Training loss: 0.1440611906349659 - MAE: 0.2881480384518122 | |
| Validation loss : 0.1460408726159264 - MAE: 0.28973676685378813 | |
| Epoch: 12 | |
| Training loss: 0.14535644724965097 - MAE: 0.286966718140979 | |
| Validation loss : 0.1502678460058044 - MAE: 0.290588582627604 | |
| Epoch: 13 | |
| Training loss: 0.14398217171430588 - MAE: 0.28640256565623445 | |
| Validation loss : 0.1463905502768124 - MAE: 0.28918126874196054 | |
| Epoch: 14 | |
| Training loss: 0.14739341512322426 - MAE: 0.29011594422849374 | |
| Validation loss : 0.14618228945661993 - MAE: 0.28852094567141273 | |
| Epoch: 15 | |
| Training loss: 0.14256037309765815 - MAE: 0.2846188984431202 | |
| Validation loss : 0.1456861675662153 - MAE: 0.28764870774940837 | |
| Epoch: 16 | |
| Training loss: 0.141983962059021 - MAE: 0.2845560462787485 | |
| Validation loss : 0.14696133312057047 - MAE: 0.2889528218040375 | |
| Epoch: 17 | |
| Training loss: 0.14403360426425935 - MAE: 0.2871163802197612 | |
| Validation loss : 0.14647448282031453 - MAE: 0.2875498963936591 | |
| Epoch: 18 | |
| Training loss: 0.1423657177388668 - MAE: 0.28414415302979235 | |
| Validation loss : 0.14668826189111261 - MAE: 0.2883705696456286 | |
| Epoch: 19 | |
| Training loss: 0.14297370195388795 - MAE: 0.28579545584147065 | |
| Validation loss : 0.15766019067343542 - MAE: 0.296808526351327 | |
| Prediction MAE: 0.2797 | |
| Finished at: 12:34:41 | |
| Time taken: 1949 s. | |
| 0 days 0 hours 32 minutes 29 seconds | |