Started at: 10:48:19
({'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: 0.1924845103344639 - MSE: 0.3322236655963751
Validation loss : 0.17660720612515102 - MSE: 0.324802509627284
Epoch: 1
Training loss: 0.1750537462078678 - MSE: 0.3180729018571566
Validation loss : 0.15942594849250533 - MSE: 0.303487836083192
Epoch: 2
Training loss: 0.16873684886672774 - MSE: 0.31160564513902284
Validation loss : 0.15245808395698215 - MSE: 0.29108694559682735
Epoch: 3
Training loss: 0.1641668309528513 - MSE: 0.30635566679511805
Validation loss : 0.15943744812499394 - MSE: 0.2995468239484796
Epoch: 4
Training loss: 0.16207607389252804 - MSE: 0.30587689084159564
Validation loss : 0.15767109924645134 - MSE: 0.30170587154140893
Epoch: 5
Training loss: 0.1646450460713527 - MSE: 0.30737025815788666
Validation loss : 0.15219450781516958 - MSE: 0.29307598227245624
Epoch: 6
Training loss: 0.15751262988687167 - MSE: 0.2992461270486002
Validation loss : 0.14895058451502613 - MSE: 0.2874865253358561
Epoch: 7
Training loss: 0.16588557305447946 - MSE: 0.3104177206449217
Validation loss : 0.15715703639117154 - MSE: 0.2987129812343567
Epoch: 8
Training loss: 0.15816156373259985 - MSE: 0.301503453503837
Validation loss : 0.15006912420644905 - MSE: 0.288090082300874
Epoch: 9
Training loss: 0.16364081340090272 - MSE: 0.30751142892997274
Validation loss : 0.15224947774726333 - MSE: 0.29088555215174683
Epoch: 10
Training loss: 0.15624311541769711 - MSE: 0.29860838299589704
Validation loss : 0.15263732759789986 - MSE: 0.28903691439119805
Epoch: 11
Training loss: 0.15317542393346728 - MSE: 0.29561704899634816
Validation loss : 0.1465996318129879 - MSE: 0.2883039288153636
Epoch: 12
Training loss: 0.15394915797308012 - MSE: 0.29761309661938545
Validation loss : 0.14934668831075681 - MSE: 0.2889731477139799
Epoch: 13