| 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 | |
| Training loss: 0.16949621936992595 - MSE: 0.310208494463055 | |
| Validation loss : 0.1511614411137998 - MSE: 0.30324212040386556 | |
| Epoch: 23 | |
| Training loss: 0.16949620082190162 - MSE: 0.3102095742453467 | |
| Validation loss : 0.15115444944240153 - MSE: 0.30323422767787633 | |
| Epoch: 24 | |
| Training loss: 0.1694950992339536 - MSE: 0.3102089707483183 | |
| Validation loss : 0.15115649672225118 - MSE: 0.30323653712503074 | |
| Epoch: 25 | |
| Training loss: 0.16949508558762702 - MSE: 0.3102093517922974 | |
| Validation loss : 0.15115846111439168 - MSE: 0.3032387536727583 | |
| Epoch: 26 | |
| Training loss: 0.16949506166734193 - MSE: 0.31020968383589725 | |
| Validation loss : 0.15116004645824432 - MSE: 0.3032405468179604 | |
| Epoch: 27 | |
| Training loss: 0.16949506578476806 - MSE: 0.3102100091384956 | |
| Validation loss : 0.1511616394855082 - MSE: 0.30324234275713025 | |
| Epoch: 28 | |
| Training loss: 0.1694950695884855 - MSE: 0.31021030116971815 | |
| Validation loss : 0.15116294636391103 - MSE: 0.30324382076605616 | |
| Epoch: 29 | |
| Training loss: 0.16949506362802105 - MSE: 0.31021054124398184 | |