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Started at: 11:39:57
({'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: 0.2487574193040429 - MSE: 0.36417208558066866
Validation loss : 0.17720953657320052 - MSE: 0.324517725567173
Epoch: 1
Training loss: 0.17969225880306988 - MSE: 0.32316235001284466
Validation loss : 0.18277007442983714 - MSE: 0.32265740191792125
Epoch: 2
Training loss: 0.18366406324702472 - MSE: 0.32790626373068626
Validation loss : 0.176965011904637 - MSE: 0.32382223638952334
Epoch: 3
Training loss: 0.18670494069680948 - MSE: 0.3299349662450387
Validation loss : 0.17702526836232704 - MSE: 0.3240165099565265
Epoch: 4
Training loss: 0.20028187222967897 - MSE: 0.3438661170711591
Validation loss : 0.176956477603226 - MSE: 0.3220238222141861
Epoch: 5
Training loss: 0.18425696651418197 - MSE: 0.3284598663449472
Validation loss : 0.17923579692389024 - MSE: 0.3213620647532961
Epoch: 6
Training loss: 0.18291579756110452 - MSE: 0.32706088243869585
Validation loss : 0.18002789682059578 - MSE: 0.3215154469143273
Epoch: 7
Training loss: 0.18255479792653 - MSE: 0.3266934425025146
Validation loss : 0.18080746585672552 - MSE: 0.3217779787463738
Epoch: 8
Training loss: 0.18238363441476968 - MSE: 0.326510964545854
Validation loss : 0.18103667574398447 - MSE: 0.3218730203910852
Epoch: 9
Training loss: 0.1823012850951725 - MSE: 0.32642306303904944
Validation loss : 0.18114753259402333 - MSE: 0.3219193949429441
Epoch: 10
Training loss: 0.18226306843878654 - MSE: 0.32638221163239944
Validation loss : 0.18120037685289528 - MSE: 0.3219412936734975
Epoch: 11
Training loss: 0.1822457022322011 - MSE: 0.3263632995875595
Validation loss : 0.181226331401955 - MSE: 0.3219524295489856
Epoch: 12
Training loss: 0.18223814496080282 - MSE: 0.326354779336264
Validation loss : 0.18123742317159972 - MSE: 0.3219572314415399
Epoch: 13
Training loss: 0.18223547419240027 - MSE: 0.3263515567617185
Validation loss : 0.18124232102524152 - MSE: 0.3219593503282257
Epoch: 14
Training loss: 0.18223450450122658 - MSE: 0.3263499022376213
Validation loss : 0.1812431158667261 - MSE: 0.3219596943033371
Epoch: 15
Training loss: 0.18223553160347308 - MSE: 0.3263508579780551
Validation loss : 0.18124122296770415 - MSE: 0.3219588756425721
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