| Started at: 13:54:30 | |
| ({'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 | |
| Validation loss : 0.1545115364715457 - MSE: 0.3045701227160862 | |
| Epoch: 14 | |
| Training loss: 0.1699589282666382 - MSE: 0.31056594253224645 | |
| Validation loss : 0.1545204329304397 - MSE: 0.304580016388627 | |
| Epoch: 15 | |
| Training loss: 0.16995860153907225 - MSE: 0.3105668987295108 | |
| Validation loss : 0.15452667814679444 - MSE: 0.3045869592820054 | |
| Epoch: 16 | |
| Training loss: 0.1698562132684808 - MSE: 0.31058698633003384 | |
| Validation loss : 0.15058960486203432 - MSE: 0.30260322473577617 | |
| Epoch: 17 | |
| Training loss: 0.16920853351291856 - MSE: 0.30992660221922314 | |
| Validation loss : 0.15110802161507308 - MSE: 0.303181744856829 | |
| Epoch: 18 | |
| Training loss: 0.16951832692874105 - MSE: 0.31024539454754047 | |
| Validation loss : 0.15118786157108843 - MSE: 0.3032720424012041 | |
| Epoch: 19 | |
| Training loss: 0.16952366397569055 - MSE: 0.31024719080762236 | |
| Validation loss : 0.15118418936617672 - MSE: 0.303267858201707 | |
| Epoch: 20 | |
| Training loss: 0.16951929793546075 - MSE: 0.3102413832574418 | |
| Validation loss : 0.1511813565157354 - MSE: 0.30326463116898594 | |
| Epoch: 21 | |
| Training loss: 0.16951563405363182 - MSE: 0.3102366537550263 | |
| Validation loss : 0.15117910131812096 - MSE: 0.30326207003190575 | |
| Epoch: 22 | |
| Training loss: 0.16951254367044097 - MSE: 0.31023282786217926 | |
| Validation loss : 0.15117732365615666 - MSE: 0.3032600467336124 | |
| Epoch: 23 | |
| Training loss: 0.1695099739651931 - MSE: 0.31022965084000215 | |
| Validation loss : 0.15117588196881115 - MSE: 0.30325841342664717 | |
| Epoch: 24 | |
| Training loss: 0.169507770318734 - MSE: 0.31022694836856174 | |
| Validation loss : 0.15117496205493808 - MSE: 0.30325737325574664 | |
| Epoch: 25 | |
| Training loss: 0.16950593904445047 - MSE: 0.310224739764178 | |
| Validation loss : 0.15117412828840315 - MSE: 0.3032564339005148 | |
| Epoch: 26 | |
| Training loss: 0.16950435136493883 - MSE: 0.31022287116644853 | |
| Validation loss : 0.1511734768282622 - MSE: 0.3032556981556809 | |
| Epoch: 27 | |
| Training loss: 0.16950298979094153 - MSE: 0.3102212937720993 | |
| Validation loss : 0.15117311687208712 - MSE: 0.3032552918662077 | |
| Epoch: 28 | |
| Training loss: 0.1695018798897141 - MSE: 0.3102200012343394 | |
| Validation loss : 0.15117282583378255 - MSE: 0.30325496194518564 | |
| Epoch: 29 | |
| Training loss: 0.16950091852953558 - MSE: 0.31021890611725483 | |
| Validation loss : 0.15117264399304986 - MSE: 0.3032547589168644 | |
| Epoch: 30 | |
| Training loss: 0.16950009982836875 - MSE: 0.3102179851229983 | |
| Validation loss : 0.1511725322343409 - MSE: 0.3032546320241636 | |
| Epoch: 31 | |
| Training loss: 0.1694993701812468 - MSE: 0.3102171767547141 | |
| Validation loss : 0.1511724202428013 - MSE: 0.3032545051314628 | |
| Epoch: 32 | |
| Training loss: 0.1694987534692413 - MSE: 0.3102164999345116 | |
| Validation loss : 0.15117244189605117 - MSE: 0.30325453051000295 | |