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Started at: 13:54:30
({'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 : 0.1545075431931764 - MSE: 0.30456596715475825
Epoch: 1
Training loss: 0.16974398517294934 - MSE: 0.3103326546437019
Validation loss : 0.15334105514921248 - MSE: 0.3032539253831601
Epoch: 2
Training loss: 0.16987535333947132 - MSE: 0.3104551468798216
Validation loss : 0.15374588128179312 - MSE: 0.30371004876315055
Epoch: 3
Training loss: 0.16981600977872546 - MSE: 0.31038815772414813
Validation loss : 0.15414767409674823 - MSE: 0.3041637827186605
Epoch: 4
Training loss: 0.16997354869779788 - MSE: 0.3106644945154869
Validation loss : 0.15224769292399287 - MSE: 0.30202376234910844
Epoch: 5
Training loss: 0.17002245697535967 - MSE: 0.3105952131827796
Validation loss : 0.15425994875840843 - MSE: 0.3042897454938611
Epoch: 6
Training loss: 0.1700476981307331 - MSE: 0.310650163816472
Validation loss : 0.15435221185907722 - MSE: 0.3043926291643402
Epoch: 7
Training loss: 0.16941748441834198 - MSE: 0.31001210870889107
Validation loss : 0.1539384766947478 - MSE: 0.30392832597817687
Epoch: 8
Training loss: 0.16997813641240722 - MSE: 0.3105949710586207
Validation loss : 0.15462648100219667 - MSE: 0.30469803253754435
Epoch: 9
Training loss: 0.17010739684889192 - MSE: 0.31050279334273895
Validation loss : 0.155730452388525 - MSE: 0.30595527761715857
Epoch: 10
Training loss: 0.17010818978673534 - MSE: 0.31067252789705496
Validation loss : 0.15445392183028162 - MSE: 0.3045059578503242
Epoch: 11
Training loss: 0.1698176296133744 - MSE: 0.3104176910766342
Validation loss : 0.1544747839216143 - MSE: 0.30452919958725033
Epoch: 12
Training loss: 0.16994338412033885 - MSE: 0.3105494737531266
Validation loss : 0.15396608458831906 - MSE: 0.30395947231545506
Epoch: 13
Training loss: 0.1698948621357742 - MSE: 0.3105059461998054
Validation loss : 0.1545115364715457 - MSE: 0.3045701227160862
Epoch: 14
Training loss: 0.1699589282666382 - MSE: 0.31056594253224645
Validation loss : 0.1545204329304397 - MSE: 0.304580016388627
Epoch: 15
Training loss: 0.16995860153907225 - MSE: 0.3105668987295108
Validation loss : 0.15452667814679444 - MSE: 0.3045869592820054
Epoch: 16
Training loss: 0.1698562132684808 - MSE: 0.31058698633003384
Validation loss : 0.15058960486203432 - MSE: 0.30260322473577617
Epoch: 17
Training loss: 0.16920853351291856 - MSE: 0.30992660221922314
Validation loss : 0.15110802161507308 - MSE: 0.303181744856829
Epoch: 18
Training loss: 0.16951832692874105 - MSE: 0.31024539454754047
Validation loss : 0.15118786157108843 - MSE: 0.3032720424012041
Epoch: 19
Training loss: 0.16952366397569055 - MSE: 0.31024719080762236
Validation loss : 0.15118418936617672 - MSE: 0.303267858201707
Epoch: 20
Training loss: 0.16951929793546075 - MSE: 0.3102413832574418
Validation loss : 0.1511813565157354 - MSE: 0.30326463116898594
Epoch: 21
Training loss: 0.16951563405363182 - MSE: 0.3102366537550263
Validation loss : 0.15117910131812096 - MSE: 0.30326207003190575
Epoch: 22
Training loss: 0.16951254367044097 - MSE: 0.31023282786217926
Validation loss : 0.15117732365615666 - MSE: 0.3032600467336124
Epoch: 23
Training loss: 0.1695099739651931 - MSE: 0.31022965084000215
Validation loss : 0.15117588196881115 - MSE: 0.30325841342664717
Epoch: 24
Training loss: 0.169507770318734 - MSE: 0.31022694836856174
Validation loss : 0.15117496205493808 - MSE: 0.30325737325574664
Epoch: 25
Training loss: 0.16950593904445047 - MSE: 0.310224739764178
Validation loss : 0.15117412828840315 - MSE: 0.3032564339005148
Epoch: 26
Training loss: 0.16950435136493883 - MSE: 0.31022287116644853
Validation loss : 0.1511734768282622 - MSE: 0.3032556981556809
Epoch: 27
Training loss: 0.16950298979094153 - MSE: 0.3102212937720993
Validation loss : 0.15117311687208712 - MSE: 0.3032552918662077
Epoch: 28
Training loss: 0.1695018798897141 - MSE: 0.3102200012343394
Validation loss : 0.15117282583378255 - MSE: 0.30325496194518564
Epoch: 29
Training loss: 0.16950091852953558 - MSE: 0.31021890611725483
Validation loss : 0.15117264399304986 - MSE: 0.3032547589168644
Epoch: 30
Training loss: 0.16950009982836875 - MSE: 0.3102179851229983
Validation loss : 0.1511725322343409 - MSE: 0.3032546320241636
Epoch: 31
Training loss: 0.1694993701812468 - MSE: 0.3102171767547141
Validation loss : 0.1511724202428013 - MSE: 0.3032545051314628
Epoch: 32
Training loss: 0.1694987534692413 - MSE: 0.3102164999345116
Validation loss : 0.15117244189605117 - MSE: 0.30325453051000295
Epoch: 33
Training loss: 0.16949823667344294 - MSE: 0.31021594102270367
Validation loss : 0.15117246261797845 - MSE: 0.3032545558885431
Epoch: 34
Training loss: 0.16949779610884816 - MSE: 0.31021548358070766
Validation loss : 0.15117257554084063 - MSE: 0.3032546827812439
Epoch: 35
Training loss: 0.16949741824677117 - MSE: 0.31021508199835557
Validation loss : 0.1511726665776223 - MSE: 0.30325478429540453
Epoch: 36
Training loss: 0.1694970832059258 - MSE: 0.3102147305201725
Validation loss : 0.15117280068807304 - MSE: 0.3032549365666455
Epoch: 37
Training loss: 0.16949680725994862 - MSE: 0.31021446009169157
Validation loss : 0.15117288893088698 - MSE: 0.3032550380808061
Epoch: 38
Training loss: 0.16949655209717 - MSE: 0.31021420484031925
Validation loss : 0.15117298113182187 - MSE: 0.30325513959496675
Epoch: 39
Training loss: 0.16949634481417505 - MSE: 0.3102140082869073
Validation loss : 0.15117311687208712 - MSE: 0.3032552918662077
Epoch: 40
Training loss: 0.16949616552967775 - MSE: 0.3102138376725538
Validation loss : 0.15117327379994094 - MSE: 0.3032554695159888
Epoch: 41
Training loss: 0.1694960145573867 - MSE: 0.3102137004872602
Validation loss : 0.15117336553521454 - MSE: 0.30325557103014944
Epoch: 42
Training loss: 0.1694958654673476 - MSE: 0.3102135644057564
Validation loss : 0.1511735450476408 - MSE: 0.3032557740584707
Epoch: 43
Training loss: 0.16949574014073923 - MSE: 0.31021345406620565
Validation loss : 0.1511736111715436 - MSE: 0.3032558501940912
Epoch: 44
Training loss: 0.1694956334013688 - MSE: 0.31021337002050287
Validation loss : 0.1511737012770027 - MSE: 0.3032559517082518
Epoch: 45
Training loss: 0.1694955766593155 - MSE: 0.3102133261448616
Validation loss : 0.1511738603003323 - MSE: 0.3032561293580329
Epoch: 46
Training loss: 0.16949547846850596 - MSE: 0.31021324525284366
Validation loss : 0.15117392782121897 - MSE: 0.3032562054936534
Epoch: 47
Training loss: 0.16949542227544281 - MSE: 0.3102132010224128
Validation loss : 0.15117401676252484 - MSE: 0.30325630700781403
Epoch: 48
Training loss: 0.1694953542398779 - MSE: 0.31021315525456056
Validation loss : 0.1511741520371288 - MSE: 0.303256459279055
Epoch: 49
Training loss: 0.16949533977006612 - MSE: 0.3102131488683486
Validation loss : 0.15117421676404774 - MSE: 0.30325653541467545
Prediction MSE: 0.330
Finished at: 13:54:30
Time taken: 3274 s.
0 days 0 hours 54 minutes 34 seconds
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