| Started at: 11:50:08 | |
| ({'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': 'afb829e3d0b861bd5f8cda6522b32ca0b097d7eb'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.19169998451283105 - MSE: 0.3224822171590252 | |
| Validation loss : 0.1545075431931764 - MSE: 0.30456596715475825 | |
| Epoch: 1 | |
| Training loss: 0.16974398517294934 - MSE: 0.3103326546437019 | |
| Validation loss : 0.15334105514921248 - MSE: 0.3032539253831601 | |
| Epoch: 2 | |
| Training loss: 0.16987535333947132 - MSE: 0.3104551468798216 | |
| Validation loss : 0.15374588128179312 - MSE: 0.30371004876315055 | |
| Epoch: 3 | |
| Training loss: 0.16981600977872546 - MSE: 0.31038815772414813 | |
| Validation loss : 0.15414767409674823 - MSE: 0.3041637827186605 | |
| Epoch: 4 | |
| Training loss: 0.16997354869779788 - MSE: 0.3106644945154869 | |
| Validation loss : 0.15224769292399287 - MSE: 0.30202376234910844 | |
| Epoch: 5 | |
| Training loss: 0.17002245697535967 - MSE: 0.3105952131827796 | |
| Validation loss : 0.15425994875840843 - MSE: 0.3042897454938611 | |
| Epoch: 6 | |
| Training loss: 0.1700476981307331 - MSE: 0.310650163816472 | |
| Validation loss : 0.15435221185907722 - MSE: 0.3043926291643402 | |
| Epoch: 7 | |
| Training loss: 0.16941748441834198 - MSE: 0.31001210870889107 | |
| Validation loss : 0.1539384766947478 - MSE: 0.30392832597817687 | |
| Epoch: 8 | |
| Training loss: 0.16997813641240722 - MSE: 0.3105949710586207 | |
| Validation loss : 0.15462648100219667 - MSE: 0.30469803253754435 | |
| Epoch: 9 | |
| Training loss: 0.17010739684889192 - MSE: 0.31050279334273895 | |
| Validation loss : 0.155730452388525 - MSE: 0.30595527761715857 | |
| Epoch: 10 | |
| Training loss: 0.17010818978673534 - MSE: 0.31067252789705496 | |
| Validation loss : 0.15445392183028162 - MSE: 0.3045059578503242 | |
| Epoch: 11 | |
| Training loss: 0.1698176296133744 - MSE: 0.3104176910766342 | |
| Validation loss : 0.1544747839216143 - MSE: 0.30452919958725033 | |
| Epoch: 12 | |
| Training loss: 0.16994338412033885 - MSE: 0.3105494737531266 | |
| Validation loss : 0.15396608458831906 - MSE: 0.30395947231545506 | |
| Epoch: 13 | |
| Training loss: 0.1698948621357742 - MSE: 0.3105059461998054 | |