Started at: 15:06:15
({'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: 0.19173999391134502 - MSE: 0.3262300431900936
Validation loss : 0.1707202664443425 - MSE: 0.3181949529015193
Epoch: 1
Training loss: 0.1834320445517892 - MSE: 0.3230671429831198
Validation loss : 0.17099061012268066 - MSE: 0.31859832233250407
Epoch: 2
Training loss: 0.18393246207422423 - MSE: 0.3238126735351295
Validation loss : 0.17154425446476254 - MSE: 0.31947564650493276
Epoch: 3
Training loss: 0.18445654531705727 - MSE: 0.32449193418262723
Validation loss : 0.17155078649520875 - MSE: 0.31949343827852444
Epoch: 4
Training loss: 0.18468433119428967 - MSE: 0.3248966974226236
Validation loss : 0.17185703590512275 - MSE: 0.31997947147548467
Epoch: 5
Training loss: 0.18483373783167126 - MSE: 0.32512973743557905
Validation loss : 0.1718519987804549 - MSE: 0.3199738939708498
Epoch: 6
Training loss: 0.18488002355092936 - MSE: 0.32523622541441644
Validation loss : 0.17180264528308595 - MSE: 0.3198964095291948
Epoch: 7
Training loss: 0.18488125423493895 - MSE: 0.3252789020479855
Validation loss : 0.17174329182931355 - MSE: 0.3198061523443487
Epoch: 8
Training loss: 0.18489378878792512 - MSE: 0.3253228091660482
Validation loss : 0.17357715804662024 - MSE: 0.3226380277707774
Epoch: 9
Training loss: 0.18595946008719286 - MSE: 0.32635185643103526
Validation loss : 0.17145181340830667 - MSE: 0.31935092495654577
Epoch: 10
Training loss: 0.18484974442755134 - MSE: 0.3253414797140243
Validation loss : 0.171514799871615 - MSE: 0.31944891148013993
Epoch: 11
Training loss: 0.1848593037394644 - MSE: 0.3253549544164942
Validation loss : 0.17148066344005722 - MSE: 0.3193935607975748
Epoch: 12
Training loss: 0.18484833496577532 - MSE: 0.3253483776600709
Validation loss : 0.17145045633826936 - MSE: 0.3193448287850645
Epoch: 13
Training loss: 0.18483807320154985 - MSE: 0.32534201221261033
Validation loss : 0.1714242550943579 - MSE: 0.3193027320467601
Epoch: 14
Training loss: 0.184799948146621 - MSE: 0.32530459791156613
Validation loss : 0.17139992096594403 - MSE: 0.3192637658295488
Epoch: 15
Training loss: 0.18460696313566374 - MSE: 0.32509753975495237
Validation loss : 0.1713372460433415 - MSE: 0.3191811611360338
Epoch: 16
Training loss: 0.18478047471601985 - MSE: 0.32529885939908587
Validation loss : 0.17135789075068064 - MSE: 0.31920771904988215
Epoch: 17
Training loss: 0.18478687360738089 - MSE: 0.3253013729808102
Validation loss : 0.17135313632232801 - MSE: 0.3191962242941372
Epoch: 18
Training loss: 0.18478634794360227 - MSE: 0.3252988952896622
Validation loss : 0.17134608296411377 - MSE: 0.31918270404483856
Epoch: 19
Training loss: 0.18478439364907812 - MSE: 0.32529616494054064
Validation loss : 0.1713385373353958 - MSE: 0.3191693609064844
Epoch: 20
Training loss: 0.18478169060737185 - MSE: 0.3252932951001202
Validation loss : 0.17133102927889143 - MSE: 0.31915661807205264
Epoch: 21
Training loss: 0.18477885548061537 - MSE: 0.325290603982356
Validation loss : 0.17132410705089568 - MSE: 0.31914513406643114
Epoch: 22
Training loss: 0.18477606650405717 - MSE: 0.3252881301248911
Validation loss : 0.17131790316530637 - MSE: 0.3191349769027771
Epoch: 23
Training loss: 0.18475595528928979 - MSE: 0.3252490983746809
Validation loss : 0.17116585086498942 - MSE: 0.3188991654947001
Epoch: 24
Training loss: 0.18471557654223394 - MSE: 0.32523076226991837
Validation loss : 0.17129607019679888 - MSE: 0.31910639966871324
Epoch: 25
Training loss: 0.1847534055993395 - MSE: 0.32526731010380944
Validation loss : 0.1712971685188157 - MSE: 0.31910609611077234
Epoch: 26
Training loss: 0.18475418508920854 - MSE: 0.3252666713391783
Validation loss : 0.17129676256861007 - MSE: 0.31910429168658866
Epoch: 27
Training loss: 0.18475402616760106 - MSE: 0.325265781194468
Validation loss : 0.17129506330404962 - MSE: 0.3191009281751966
Epoch: 28
Training loss: 0.18475328790910037 - MSE: 0.3252646990552556
Validation loss : 0.17129331997462682 - MSE: 0.3190977823271948
Epoch: 29
Training loss: 0.1847524212546719 - MSE: 0.32526369798931354
Validation loss : 0.17129140198230744 - MSE: 0.31909451460898186
Epoch: 30
Training loss: 0.18475143915241204 - MSE: 0.32526269084424536
Validation loss : 0.1712896326822894 - MSE: 0.31909157205539357
Epoch: 31
Training loss: 0.18475051195297426 - MSE: 0.32526179288612367
Validation loss : 0.1712880790233612 - MSE: 0.3190890144839484
Epoch: 32
Training loss: 0.18474962316381122 - MSE: 0.3252609676949589
Validation loss : 0.1712866274373872 - MSE: 0.3190866560558788
Epoch: 33
Training loss: 0.18474883644036877 - MSE: 0.3252602512891166
Validation loss : 0.17128532294716153 - MSE: 0.31908454743513304
Epoch: 34
Training loss: 0.18474806317137282 - MSE: 0.32525954709629346
Validation loss : 0.17128421206559455 - MSE: 0.31908275695417876
Epoch: 35
Training loss: 0.18474743124640103 - MSE: 0.32525897543937266
Validation loss : 0.17128328680992128 - MSE: 0.31908127035047595
Epoch: 36
Training loss: 0.18474681660966966 - MSE: 0.3252584086749617
Validation loss : 0.1712824895977974 - MSE: 0.319079985870381
Epoch: 37
Training loss: 0.18474630295362288 - MSE: 0.3252579368033359
Validation loss : 0.17128169302429472 - MSE: 0.319078710224546
Epoch: 38
Training loss: 0.18474584043894 - MSE: 0.32525751387506474
Validation loss : 0.1712811033640589 - MSE: 0.3190777581467825
Epoch: 39
Training loss: 0.184745434780144 - MSE: 0.32525713874004314
Validation loss : 0.17128053658774922 - MSE: 0.3190768472600861
Epoch: 40
Training loss: 0.1847450231898178 - MSE: 0.32525675580986585
Validation loss : 0.17128009647130965 - MSE: 0.31907613998711376
Epoch: 41
Training loss: 0.18474469384522113 - MSE: 0.32525644900568207
Validation loss : 0.1712797955742904 - MSE: 0.31907566059547077
Epoch: 42
Training loss: 0.1847444389340947 - MSE: 0.3252562013497522
Validation loss : 0.17127941751054354 - MSE: 0.31907505188303603
Epoch: 43
Training loss: 0.1847441817805605 - MSE: 0.3252559635883759
Validation loss : 0.17127902805805206 - MSE: 0.3190744240119654
Epoch: 44
Training loss: 0.18474390451769226 - MSE: 0.32525568796481485
Validation loss : 0.17127879006522043 - MSE: 0.31907404935419825
Epoch: 45
Training loss: 0.18474371340668316 - MSE: 0.32525551072086506
Validation loss : 0.1712786038007055 - MSE: 0.31907374856361587
Epoch: 46
Training loss: 0.18474349328904477 - MSE: 0.325255292346972
Validation loss : 0.17127842094217027 - MSE: 0.31907345501074036
Epoch: 47
Training loss: 0.18474333277605112 - MSE: 0.32525513533026457
Validation loss : 0.17127827597515924 - MSE: 0.3190732274487216
Epoch: 48
Training loss: 0.18474318969596937 - MSE: 0.3252549914576136
Validation loss : 0.1712781365428652 - MSE: 0.31907299701290737
Epoch: 49
Training loss: 0.18474307757558175 - MSE: 0.32525488278182485
Validation loss : 0.1712780401110649 - MSE: 0.3190728468304899
Prediction MSE: 0.317
Finished at: 15:06:15
Time taken: 4303 s.
0 days 1 hours 11 minutes 43 seconds