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Started at: 11:39:57 |
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({'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'}, {}) |
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Epoch: 0 |
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Training loss: 0.2487574193040429 - MSE: 0.36417208558066866 |
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Validation loss : 0.17720953657320052 - MSE: 0.324517725567173 |
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Epoch: 1 |
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Training loss: 0.17969225880306988 - MSE: 0.32316235001284466 |
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Validation loss : 0.18277007442983714 - MSE: 0.32265740191792125 |
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Epoch: 2 |
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Training loss: 0.18366406324702472 - MSE: 0.32790626373068626 |
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Validation loss : 0.176965011904637 - MSE: 0.32382223638952334 |
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Epoch: 3 |
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Training loss: 0.18670494069680948 - MSE: 0.3299349662450387 |
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Validation loss : 0.17702526836232704 - MSE: 0.3240165099565265 |
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Epoch: 4 |
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Training loss: 0.20028187222967897 - MSE: 0.3438661170711591 |
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Validation loss : 0.176956477603226 - MSE: 0.3220238222141861 |
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Epoch: 5 |
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Training loss: 0.18425696651418197 - MSE: 0.3284598663449472 |
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Validation loss : 0.17923579692389024 - MSE: 0.3213620647532961 |
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Epoch: 6 |
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Training loss: 0.18291579756110452 - MSE: 0.32706088243869585 |
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Validation loss : 0.18002789682059578 - MSE: 0.3215154469143273 |
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Epoch: 7 |
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Training loss: 0.18255479792653 - MSE: 0.3266934425025146 |
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Validation loss : 0.18080746585672552 - MSE: 0.3217779787463738 |
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Epoch: 8 |
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Training loss: 0.18238363441476968 - MSE: 0.326510964545854 |
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Validation loss : 0.18103667574398447 - MSE: 0.3218730203910852 |
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Epoch: 9 |
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Training loss: 0.1823012850951725 - MSE: 0.32642306303904944 |
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Validation loss : 0.18114753259402333 - MSE: 0.3219193949429441 |
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Epoch: 10 |
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Training loss: 0.18226306843878654 - MSE: 0.32638221163239944 |
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Validation loss : 0.18120037685289528 - MSE: 0.3219412936734975 |
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Epoch: 11 |
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Training loss: 0.1822457022322011 - MSE: 0.3263632995875595 |
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Validation loss : 0.181226331401955 - MSE: 0.3219524295489856 |
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Epoch: 12 |
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Training loss: 0.18223814496080282 - MSE: 0.326354779336264 |
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Validation loss : 0.18123742317159972 - MSE: 0.3219572314415399 |
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Epoch: 13 |
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Training loss: 0.18223547419240027 - MSE: 0.3263515567617185 |
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Validation loss : 0.18124232102524152 - MSE: 0.3219593503282257 |
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Epoch: 14 |
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Training loss: 0.18223450450122658 - MSE: 0.3263499022376213 |
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Validation loss : 0.1812431158667261 - MSE: 0.3219596943033371 |
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Epoch: 15 |
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Training loss: 0.18223553160347308 - MSE: 0.3263508579780551 |
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Validation loss : 0.18124122296770415 - MSE: 0.3219588756425721 |
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Epoch: 16 |
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Training loss: 0.18223705256197054 - MSE: 0.3263523368442598 |
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Validation loss : 0.18124055501186487 - MSE: 0.32195858670347854 |
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Epoch: 17 |
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Training loss: 0.18223793137118902 - MSE: 0.3263530484795528 |
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Validation loss : 0.18123786794868382 - MSE: 0.32195742406760225 |
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Epoch: 18 |
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Training loss: 0.1822392940143038 - MSE: 0.3263543280507233 |
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Validation loss : 0.18123836092876666 - MSE: 0.3219576373321713 |
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Epoch: 19 |
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Training loss: 0.1822397845234665 - MSE: 0.3263546927109733 |
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Validation loss : 0.181238055229187 - MSE: 0.3219575066216289 |
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Epoch: 20 |
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Training loss: 0.18223992795659805 - MSE: 0.3263547543533027 |
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Validation loss : 0.1812378361143849 - MSE: 0.3219574103085978 |
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Epoch: 21 |
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Training loss: 0.1822402750326292 - MSE: 0.3263550699385248 |
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Validation loss : 0.1812385039573366 - MSE: 0.3219576992476913 |
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Epoch: 22 |
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Training loss: 0.18223916792173675 - MSE: 0.32635392572647925 |
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Validation loss : 0.181226793337952 - MSE: 0.3219526290545502 |
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Epoch: 23 |
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Training loss: 0.18224155640012116 - MSE: 0.32635636567848586 |
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Validation loss : 0.18123600643241045 - MSE: 0.3219566191658417 |
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Epoch: 24 |
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Training loss: 0.18224167383186102 - MSE: 0.32635633417493376 |
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Validation loss : 0.18123632443673682 - MSE: 0.32195675675588625 |
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Epoch: 25 |
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Training loss: 0.18224162090248264 - MSE: 0.3263562383563682 |
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Validation loss : 0.181236690079624 - MSE: 0.32195691498443746 |
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Epoch: 26 |
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Training loss: 0.18224160620933258 - MSE: 0.3263561929586502 |
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