| 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 | |
| Validation loss : 0.15116422879509628 - MSE: 0.30324526722642986 | |
| Epoch: 30 | |
| Training loss: 0.16949505092282044 - MSE: 0.3102107802538768 | |
| Validation loss : 0.15116519923321903 - MSE: 0.3032463587364873 | |
| Epoch: 31 | |
| Training loss: 0.16949503472761104 - MSE: 0.3102109880028702 | |
| Validation loss : 0.15116616361774504 - MSE: 0.30324744815106897 | |
| Epoch: 32 | |
| Training loss: 0.1694950102975494 - MSE: 0.3102111595239082 | |
| Validation loss : 0.1511670839972794 - MSE: 0.3032484904174453 | |
| Epoch: 33 | |
| Training loss: 0.16949503817840628 - MSE: 0.3102113451182651 | |
| Validation loss : 0.15116780903190374 - MSE: 0.303249302414315 | |
| Epoch: 34 | |
| Training loss: 0.16949502108128447 - MSE: 0.3102115117116704 | |
| Validation loss : 0.15116860624402761 - MSE: 0.30325020067493824 | |
| Epoch: 35 | |
| Training loss: 0.16949496159428043 - MSE: 0.3102115773871586 | |
| Validation loss : 0.1511691091582179 - MSE: 0.30325077460247485 | |
| Epoch: 36 | |
| Training loss: 0.16949501370913103 - MSE: 0.31021177953836127 | |
| Validation loss : 0.15116953826509416 - MSE: 0.30325125679473786 | |
| Epoch: 37 | |
| Training loss: 0.16959698172776322 - MSE: 0.3102504026385966 | |
| Validation loss : 0.15178115805611014 - MSE: 0.30394958434726504 | |
| Epoch: 38 | |
| Training loss: 0.16956856172335774 - MSE: 0.3102638844444762 | |
| Validation loss : 0.15115563897415996 - MSE: 0.3032355727405047 | |
| Epoch: 39 | |
| Training loss: 0.1694874994064632 - MSE: 0.3102015640433627 | |
| Validation loss : 0.15116063226014376 - MSE: 0.30324120677641986 | |
| Epoch: 40 | |
| Training loss: 0.1694887787103653 - MSE: 0.31020338604539766 | |
| Validation loss : 0.1511625424027443 - MSE: 0.3032433639523333 | |
| Epoch: 41 | |
| Training loss: 0.16948962152788513 - MSE: 0.3102046410937282 | |
| Validation loss : 0.15116414008662105 - MSE: 0.30324516582868455 | |
| Epoch: 42 | |
| Training loss: 0.16949031372603618 - MSE: 0.3102056846480645 | |
| Validation loss : 0.15116540039889514 - MSE: 0.3032465870269334 | |
| Epoch: 43 | |
| Training loss: 0.1694909881996481 - MSE: 0.31020666497101834 | |
| Validation loss : 0.15116674755699933 - MSE: 0.3032481097393429 | |
| Epoch: 44 | |
| Training loss: 0.16949151315187153 - MSE: 0.31020746001498384 | |
| Validation loss : 0.15116780903190374 - MSE: 0.30324930253073035 | |
| Epoch: 45 | |
| Training loss: 0.16949198057777004 - MSE: 0.3102081938774621 | |
| Validation loss : 0.15116868331097066 - MSE: 0.3032502922937965 | |
| Epoch: 46 | |
| Training loss: 0.16949239694758467 - MSE: 0.3102088308429716 | |
| Validation loss : 0.1511694707442075 - MSE: 0.30325118054270206 | |
| Epoch: 47 | |
| Training loss: 0.16949274116440824 - MSE: 0.3102093728825653 | |
| Validation loss : 0.1511702830903232 - MSE: 0.30325209417014776 | |
| Epoch: 48 | |
| Training loss: 0.1694930295803045 - MSE: 0.310209832059088 | |
| Validation loss : 0.1511708211619407 - MSE: 0.30325270325511156 | |
| Epoch: 49 | |
| Training loss: 0.16949331807462792 - MSE: 0.3102102694751848 | |
| Validation loss : 0.15117131732404232 - MSE: 0.30325326158299504 | |
| Prediction MSE: 0.330 | |
| Finished at: 11:52:44 | |
| Time taken: 3135 s. | |
| 0 days 0 hours 52 minutes 15 seconds | |