| Started at: 12:43:11 | |
| ({'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': 32922, '_commit_hash': '44815f7e109b53547cccdf3c6847f4c28b989816'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.2008972004489991 - MSE: 0.33518312736635436 | |
| Validation loss : 0.1646703563630581 - MSE: 0.3085779357984263 | |
| Epoch: 1 | |
| Training loss: 0.1659574282256145 - MSE: 0.3064189085675543 | |
| Validation loss : 0.157762396974223 - MSE: 0.28898105177130284 | |
| Epoch: 2 | |
| Training loss: 0.16920435048856783 - MSE: 0.3099259860789372 | |
| Validation loss : 0.2597339808940887 - MSE: 0.41778062962694096 | |
| Epoch: 3 | |
| Training loss: 0.18403085151198997 - MSE: 0.3220045950051232 | |
| Validation loss : 0.2158472946711949 - MSE: 0.37326406195393896 | |
| Epoch: 4 | |
| Training loss: 0.18172540587996974 - MSE: 0.32080418783672165 | |
| Validation loss : 0.180368021769183 - MSE: 0.33231508495186324 | |
| Epoch: 5 | |
| Training loss: 0.17783939802241558 - MSE: 0.31700912658652863 | |
| Validation loss : 0.17726878098079135 - MSE: 0.33020463892025875 | |
| Epoch: 6 | |
| Training loss: 0.17681393569823609 - MSE: 0.3154852375991437 | |
| Validation loss : 0.17508771706904683 - MSE: 0.32495340255388455 | |
| Epoch: 7 | |
| Training loss: 0.18098733559684846 - MSE: 0.3195274022724451 | |
| Validation loss : 0.17311148579631533 - MSE: 0.3220135453306804 | |
| Epoch: 8 | |
| Training loss: 0.18061703660534423 - MSE: 0.3191405354137568 | |
| Validation loss : 0.17032980706010545 - MSE: 0.3176248594869061 | |
| Epoch: 9 | |
| Training loss: 0.18142556370172686 - MSE: 0.319926894033844 | |
| Validation loss : 0.1691651236798082 - MSE: 0.31562867300485126 | |
| Epoch: 10 | |
| Training loss: 0.18212312047631996 - MSE: 0.32070363034661087 | |
| Validation loss : 0.16798930146864482 - MSE: 0.31360456355614585 | |
| Epoch: 11 | |
| Training loss: 0.18196018481428183 - MSE: 0.3207149931643255 | |
| Validation loss : 0.16837686087403977 - MSE: 0.31434407412639953 | |
| Epoch: 12 | |
| Training loss: 0.1814197617248424 - MSE: 0.3202695122298144 | |
| Validation loss : 0.16799633439098086 - MSE: 0.3135975342526633 | |
| Epoch: 13 | |
| Training loss: 0.18225394370197093 - MSE: 0.3212486534658962 | |
| Validation loss : 0.16925174317189626 - MSE: 0.3159311910575655 | |
| Epoch: 14 | |
| Training loss: 0.18245843891958588 - MSE: 0.3215480212902345 | |
| Validation loss : 0.16824361362627574 - MSE: 0.31412619200834474 | |
| Epoch: 15 | |
| Training loss: 0.1803396447624975 - MSE: 0.3195030057718649 | |
| Validation loss : 0.1688083845589842 - MSE: 0.3150487916560711 | |
| Epoch: 16 | |
| Training loss: 0.17986665409311509 - MSE: 0.3195031756770499 | |
| Validation loss : 0.22056829929351807 - MSE: 0.37911737345857544 | |
| Epoch: 17 | |
| Training loss: 0.18849548813208794 - MSE: 0.3279959400740679 | |
| Validation loss : 0.1744179646883692 - MSE: 0.32440157115093565 | |
| Epoch: 18 | |
| Training loss: 0.18259398508997796 - MSE: 0.32226052051809423 | |
| Validation loss : 0.17137913001435143 - MSE: 0.32016465139874656 | |
| Epoch: 19 | |
| Training loss: 0.17060092156662524 - MSE: 0.3103650882393749 | |