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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 Validation loss : 0.15110818133689463 - MSE: 0.30318192262302546 Epoch: 14 Training loss: 0.16949585684035953 - MSE: 0.31020210549164046 |