| Started at: 14:09:17 | |
| norbert2, 1e-06, 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: 0.27911949396133423 - MAE: 0.40659444881873014 | |
| Validation loss : 0.20867602176526012 - MAE: 0.3527981750883627 | |
| Epoch: 1 | |
| Training loss: 0.20067402869462966 - MAE: 0.3443738813489259 | |
| Validation loss : 0.18265952783472397 - MAE: 0.3274485677700584 | |
| Epoch: 2 | |
| Training loss: 0.1841411805152893 - MAE: 0.3259698872141148 | |
| Validation loss : 0.1689106410040575 - MAE: 0.31383750534412613 | |
| Epoch: 3 | |
| Training loss: 0.17074111104011536 - MAE: 0.3145261499885815 | |
| Validation loss : 0.16013307606472688 - MAE: 0.3051025622499357 | |
| Epoch: 4 | |
| Training loss: 0.1639400851726532 - MAE: 0.30646231000580526 | |
| Validation loss : 0.1528616074253531 - MAE: 0.29642873545836607 | |
| Epoch: 5 | |
| Training loss: 0.15575984567403794 - MAE: 0.2993765289133215 | |
| Validation loss : 0.14734076357939663 - MAE: 0.29066910247984484 | |
| Epoch: 6 | |
| Training loss: 0.14977987259626388 - MAE: 0.29226248364706103 | |
| Validation loss : 0.14347205924637177 - MAE: 0.28507644327461074 | |
| Epoch: 7 | |
| Training loss: 0.14246483147144318 - MAE: 0.2847612362019316 | |
| Validation loss : 0.13875692469232223 - MAE: 0.2803811997241932 | |
| Epoch: 8 | |
| Training loss: 0.13901878967881204 - MAE: 0.28157276737922127 | |
| Validation loss : 0.13477012821856668 - MAE: 0.27596797076254853 | |
| Epoch: 9 | |
| Training loss: 0.13553616270422936 - MAE: 0.2773601570587253 | |
| Validation loss : 0.1310576147892896 - MAE: 0.27152793902535644 | |
| Epoch: 10 | |
| Training loss: 0.13071139618754388 - MAE: 0.2738363522012253 | |
| Validation loss : 0.12781519004527261 - MAE: 0.2676097654740519 | |
| Epoch: 11 | |
| Training loss: 0.12695545226335525 - MAE: 0.268180345813455 | |
| Validation loss : 0.1253761912093443 - MAE: 0.2644418877791716 | |
| Epoch: 12 | |
| Training loss: 0.12514270216226578 - MAE: 0.26636549719195196 | |
| Validation loss : 0.12222997055334203 - MAE: 0.26144890253845454 | |
| Epoch: 13 | |
| Training loss: 0.12074263036251068 - MAE: 0.2631149334842985 | |
| Validation loss : 0.12074752809370265 - MAE: 0.2602191469613834 | |
| Epoch: 14 | |
| Training loss: 0.1188604213297367 - MAE: 0.2606121217549307 | |
| Validation loss : 0.11908167556804769 - MAE: 0.25871316767601477 | |
| Epoch: 15 | |
| Training loss: 0.11777730487287044 - MAE: 0.2618875457585697 | |
| Validation loss : 0.11862163508639616 - MAE: 0.2584168774684768 | |
| Epoch: 16 | |
| Training loss: 0.11579891853034496 - MAE: 0.25837723650531746 | |
| Validation loss : 0.11732436059152379 - MAE: 0.25737838022673293 | |
| Epoch: 17 | |
| Training loss: 0.11113709509372711 - MAE: 0.2514921425647791 | |
| Validation loss : 0.11609748970059787 - MAE: 0.25643850775758364 | |
| Epoch: 18 | |
| Training loss: 0.10931667134165764 - MAE: 0.25138145435581405 | |
| Validation loss : 0.11603722852819107 - MAE: 0.25660570439116404 | |
| Epoch: 19 | |
| Training loss: 0.110377426892519 - MAE: 0.2521915592467824 | |
| Validation loss : 0.11466356542180567 - MAE: 0.25502898603929 | |
| Prediction MAE: 0.2410 | |
| Finished at: 14:09:17 | |
| Time taken: 1653 s. | |
| 0 days 0 hours 27 minutes 33 seconds | |