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Started at: 09:18:54
({'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: 0.19173999391134502 - MSE: 0.3262300431900936
Validation loss : 0.1707202664443425 - MSE: 0.3181949529015193
Epoch: 1
Training loss: 0.1834320445517892 - MSE: 0.3230671429831198
Validation loss : 0.17099061012268066 - MSE: 0.31859832233250407
Epoch: 2
Training loss: 0.18393246207422423 - MSE: 0.3238126735351295
Validation loss : 0.17154425446476254 - MSE: 0.31947564650493276
Epoch: 3
Training loss: 0.18445654531705727 - MSE: 0.32449193418262723
Validation loss : 0.17155078649520875 - MSE: 0.31949343827852444
Epoch: 4
Training loss: 0.18468433119428967 - MSE: 0.3248966974226236
Validation loss : 0.17185703590512275 - MSE: 0.31997947147548467
Epoch: 5
Training loss: 0.18483373783167126 - MSE: 0.32512973743557905
Validation loss : 0.1718519987804549 - MSE: 0.3199738939708498
Epoch: 6
Training loss: 0.18488002355092936 - MSE: 0.32523622541441644
Validation loss : 0.17180264528308595 - MSE: 0.3198964095291948
Epoch: 7
Training loss: 0.18488125423493895 - MSE: 0.3252789020479855
Validation loss : 0.17174329182931355 - MSE: 0.3198061523443487
Epoch: 8
Training loss: 0.18489378878792512 - MSE: 0.3253228091660482
Validation loss : 0.17357715804662024 - MSE: 0.3226380277707774
Epoch: 9
Training loss: 0.18595946008719286 - MSE: 0.32635185643103526
Validation loss : 0.17145181340830667 - MSE: 0.31935092495654577
Epoch: 10
Training loss: 0.18484974442755134 - MSE: 0.3253414797140243
Validation loss : 0.171514799871615 - MSE: 0.31944891148013993
Epoch: 11
Training loss: 0.1848593037394644 - MSE: 0.3253549544164942
Validation loss : 0.17148066344005722 - MSE: 0.3193935607975748
Epoch: 12
Training loss: 0.18484833496577532 - MSE: 0.3253483776600709
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