| Started at: 10:42:59 | |
| ({'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: 0.2707270306348801 - MAE: 0.4014548746281838 | |
| Validation loss : 0.18827014460283167 - MAE: 0.3350395914193632 | |
| Epoch: 1 | |
| Training loss: 0.18397963613271714 - MAE: 0.3274942520732981 | |
| Validation loss : 0.17896055035731373 - MAE: 0.32625804300542655 | |
| Epoch: 2 | |
| Training loss: 0.17076618894934653 - MAE: 0.3156013590381467 | |
| Validation loss : 0.17423390377970302 - MAE: 0.32323377271249604 | |
| Epoch: 3 | |
| Training loss: 0.1643083082139492 - MAE: 0.3095641840936019 | |
| Validation loss : 0.16728906508754282 - MAE: 0.3149824083534162 | |
| Epoch: 4 | |
| Training loss: 0.15957146167755126 - MAE: 0.3037565492992936 | |
| Validation loss : 0.16289721429347992 - MAE: 0.3089864069106985 | |
| Epoch: 5 | |
| Training loss: 0.15854436449706555 - MAE: 0.301500893432691 | |
| Validation loss : 0.16129758033682318 - MAE: 0.308202317708313 | |
| Epoch: 6 | |
| Training loss: 0.15570181787014006 - MAE: 0.29918709351469924 | |
| Validation loss : 0.16344413292758606 - MAE: 0.30938825983369334 | |
| Epoch: 7 | |
| Training loss: 0.15292704798281193 - MAE: 0.2961117975066867 | |
| Validation loss : 0.16081692103077383 - MAE: 0.3033625257590202 | |
| Epoch: 8 | |
| Training loss: 0.15216302141547203 - MAE: 0.2959306926556599 | |
| Validation loss : 0.15965510378865636 - MAE: 0.30640949969727455 | |
| Epoch: 9 | |
| Training loss: 0.1456899941712618 - MAE: 0.2888247514317626 | |
| Validation loss : 0.15742756864603827 - MAE: 0.3014585494849406 | |
| Epoch: 10 | |
| Training loss: 0.1467710939049721 - MAE: 0.2907957975079187 | |
| Validation loss : 0.15912020206451416 - MAE: 0.30151619716495687 | |
| Epoch: 11 | |
| Training loss: 0.14659826673567294 - MAE: 0.2893981534314371 | |
| Validation loss : 0.1602539621731814 - MAE: 0.3022486893374817 | |
| Epoch: 12 | |
| Training loss: 0.14781650044023992 - MAE: 0.29275159014985785 | |
| Validation loss : 0.15743818177896388 - MAE: 0.3011467784998341 | |
| Epoch: 13 | |
| Training loss: 0.14709322392940521 - MAE: 0.2905235164202929 | |
| Validation loss : 0.15774143706349766 - MAE: 0.30035432342912505 | |
| Epoch: 14 | |
| Training loss: 0.14297918483614921 - MAE: 0.2870641656789985 | |
| Validation loss : 0.16193263846285202 - MAE: 0.3045518551046045 | |
| Epoch: 15 | |
| Training loss: 0.14410636112093925 - MAE: 0.2889387564652954 | |
| Validation loss : 0.15722107492825566 - MAE: 0.299146052737687 | |
| Epoch: 16 | |
| Training loss: 0.14345928631722926 - MAE: 0.28585450120342 | |
| Validation loss : 0.15835655086180744 - MAE: 0.2999799426627903 | |
| Epoch: 17 | |
| Training loss: 0.14413826659321785 - MAE: 0.2881013153573912 | |
| Validation loss : 0.15604389984818065 - MAE: 0.29791508329064814 | |
| Epoch: 18 | |