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
Validation loss : 0.15111643797717988 - MSE: 0.30319126495260207
Epoch: 15
Training loss: 0.1694957421798455 - MSE: 0.3102031148284955
Validation loss : 0.15112340752966702 - MSE: 0.30319914952951876
Epoch: 16
Training loss: 0.1694956130103061 - MSE: 0.3102041142706642
Validation loss : 0.15112938289530575 - MSE: 0.3032059101165032
Epoch: 17
Training loss: 0.16949550995701237 - MSE: 0.31020503356981505
Validation loss : 0.1511345561593771 - MSE: 0.30321175591188876
Epoch: 18
Training loss: 0.16949546227329657 - MSE: 0.31020586811368406
Validation loss : 0.15113910171203315 - MSE: 0.3032168940185329
Epoch: 19
Training loss: 0.1694954017275258 - MSE: 0.3102065734353139
Validation loss : 0.15114298881962895 - MSE: 0.30322128473881094
Epoch: 20
Training loss: 0.16949532439834195 - MSE: 0.3102071649483396
Validation loss : 0.15114647196605802 - MSE: 0.30322521829612015
Epoch: 21
Training loss: 0.16949528412599313 - MSE: 0.3102077097474076
Validation loss : 0.15114951902069151 - MSE: 0.3032286566226503
Epoch: 22