| Started at: 14:22:52 | |
| ({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.6967193094583658 - MAE: 0.6750990625330823 | |
| Validation loss : 0.5263436496257782 - MAE: 0.613448569191522 | |
| Epoch: 1 | |
| Training loss: 0.26826212727106535 - MAE: 0.4087051125792896 | |
| Validation loss : 0.22296061515808105 - MAE: 0.3555378972565709 | |
| Epoch: 2 | |
| Training loss: 0.2124968572304799 - MAE: 0.3476390507866737 | |
| Validation loss : 0.20461321175098418 - MAE: 0.3532590132614058 | |
| Epoch: 3 | |
| Training loss: 0.18429063145930952 - MAE: 0.32677963264803717 | |
| Validation loss : 0.17646469473838805 - MAE: 0.3203760276514041 | |
| Epoch: 4 | |
| Training loss: 0.17768853444319505 - MAE: 0.31684026520272845 | |
| Validation loss : 0.17874470055103303 - MAE: 0.3257858562177419 | |
| Epoch: 5 | |
| Training loss: 0.17304767782871538 - MAE: 0.3139755194179104 | |
| Validation loss : 0.1718216747045517 - MAE: 0.31812428100953294 | |
| Epoch: 6 | |
| Training loss: 0.17041566165593955 - MAE: 0.31176170900212385 | |
| Validation loss : 0.17110097408294678 - MAE: 0.3175205683975872 | |
| Epoch: 7 | |
| Training loss: 0.16822290764405176 - MAE: 0.3093251221653364 | |
| Validation loss : 0.17010048031806946 - MAE: 0.3165555384963895 | |
| Epoch: 8 | |
| Training loss: 0.16749977606993455 - MAE: 0.309235729717861 | |
| Validation loss : 0.1681269407272339 - MAE: 0.31405053463780375 | |
| Epoch: 9 | |
| Training loss: 0.1660219534085347 - MAE: 0.30707150650440435 | |
| Validation loss : 0.16768858432769776 - MAE: 0.3134797613244496 | |
| Epoch: 10 | |
| Training loss: 0.16200380256542793 - MAE: 0.3036754525218348 | |
| Validation loss : 0.1665838599205017 - MAE: 0.3121892924671111 | |
| Epoch: 11 | |
| Training loss: 0.16332647777520692 - MAE: 0.3039458888319623 | |
| Validation loss : 0.16546964943408965 - MAE: 0.3107545377167428 | |
| Epoch: 12 | |
| Training loss: 0.16287456223597893 - MAE: 0.30448042997749564 | |
| Validation loss : 0.16524331867694855 - MAE: 0.3106786227351389 | |
| Epoch: 13 | |
| Training loss: 0.15990304029904878 - MAE: 0.30016709856440854 | |
| Validation loss : 0.16489878594875335 - MAE: 0.31031377115036685 | |
| Epoch: 14 | |
| Training loss: 0.15767766993779403 - MAE: 0.2997244083849813 | |
| Validation loss : 0.16339748501777648 - MAE: 0.3083185140265562 | |
| Epoch: 15 | |
| Training loss: 0.15951268031046942 - MAE: 0.29912324704552734 | |
| Validation loss : 0.16375492811203002 - MAE: 0.3090144460164269 | |
| Epoch: 16 | |
| Training loss: 0.15623677808504838 - MAE: 0.2973088492735953 | |
| Validation loss : 0.16299248337745667 - MAE: 0.30820454237494843 | |
| Epoch: 17 | |
| Training loss: 0.1564337038076841 - MAE: 0.29861382568944933 | |
| Validation loss : 0.16230234503746033 - MAE: 0.30725784051523525 | |
| Epoch: 18 | |
| Training loss: 0.15549989617787874 - MAE: 0.2960598878509324 | |
| Validation loss : 0.16213322579860687 - MAE: 0.3070436707425703 | |
| Epoch: 19 | |
| Training loss: 0.1569853677199437 - MAE: 0.29836095928185685 | |
| Validation loss : 0.16146726608276368 - MAE: 0.30629696980134635 | |
| Epoch: 20 | |
| Training loss: 0.1547408069555576 - MAE: 0.2970990607700864 | |
| Validation loss : 0.16105090379714965 - MAE: 0.3058310992073678 | |
| Epoch: 21 | |