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Started at: 11:52:44
({'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: 0.19169998451283105 - MSE: 0.3224822171590252
Validation loss : 0.1576854281593114 - MSE: 0.3052585763866773
Epoch: 1
Training loss: 0.170721908933238 - MSE: 0.3106345883186025
Validation loss : 0.14974205638282 - MSE: 0.30164828824445067
Epoch: 2
Training loss: 0.16939535588026047 - MSE: 0.31008999561987205
Validation loss : 0.15034097363241017 - MSE: 0.30232355450380055
Epoch: 3
Training loss: 0.1694463299293267 - MSE: 0.3101087405316537
Validation loss : 0.15061823884025216 - MSE: 0.3026353720119914
Epoch: 4
Training loss: 0.16941545233130456 - MSE: 0.310085018434928
Validation loss : 0.15079936920665205 - MSE: 0.30283750300395695
Epoch: 5
Training loss: 0.16935620966710543 - MSE: 0.31004690146169944
Validation loss : 0.15084448363631964 - MSE: 0.3028875614759272
Epoch: 6
Training loss: 0.16949052591072886 - MSE: 0.3101781524663373
Validation loss : 0.15096625522710383 - MSE: 0.30302316902771054
Epoch: 7
Training loss: 0.16949893361643742 - MSE: 0.310188779241269
Validation loss : 0.15100383502431214 - MSE: 0.30306482790138034
Epoch: 8
Training loss: 0.1694979808440334 - MSE: 0.3101921144601653
Validation loss : 0.15103243081830442 - MSE: 0.30309663850448487
Epoch: 9
Training loss: 0.1694973421724219 - MSE: 0.3101948706230913
Validation loss : 0.1510547660291195 - MSE: 0.303121549986372
Epoch: 10
Training loss: 0.16949688792228698 - MSE: 0.31019701891325113
Validation loss : 0.15107234381139278 - MSE: 0.3031413168423569
Epoch: 11
Training loss: 0.16949651574617938 - MSE: 0.3101986945843064
Validation loss : 0.15108662215061486 - MSE: 0.3031575035779497
Epoch: 12
Training loss: 0.16949623556513535 - MSE: 0.3102000477910796
Validation loss : 0.1510984308551997 - MSE: 0.30317088319088725
Epoch: 13
Training loss: 0.16949602914483924 - MSE: 0.3102011731046972
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