old_res/05-04-2023-10:48:19_norbert2_all_units_0.006_1_50_freeze_True.txt

Started at: 10:48:19
({'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: 0.1924845103344639 - MSE: 0.3322236655963751
Validation loss : 0.17660720612515102 - MSE: 0.324802509627284
Epoch: 1
Training loss: 0.1750537462078678 - MSE: 0.3180729018571566
Validation loss : 0.15942594849250533 - MSE: 0.303487836083192
Epoch: 2
Training loss: 0.16873684886672774 - MSE: 0.31160564513902284
Validation loss : 0.15245808395698215 - MSE: 0.29108694559682735
Epoch: 3
Training loss: 0.1641668309528513 - MSE: 0.30635566679511805
Validation loss : 0.15943744812499394 - MSE: 0.2995468239484796
Epoch: 4
Training loss: 0.16207607389252804 - MSE: 0.30587689084159564
Validation loss : 0.15767109924645134 - MSE: 0.30170587154140893
Epoch: 5
Training loss: 0.1646450460713527 - MSE: 0.30737025815788666
Validation loss : 0.15219450781516958 - MSE: 0.29307598227245624
Epoch: 6
Training loss: 0.15751262988687167 - MSE: 0.2992461270486002
Validation loss : 0.14895058451502613 - MSE: 0.2874865253358561
Epoch: 7
Training loss: 0.16588557305447946 - MSE: 0.3104177206449217
Validation loss : 0.15715703639117154 - MSE: 0.2987129812343567
Epoch: 8
Training loss: 0.15816156373259985 - MSE: 0.301503453503837
Validation loss : 0.15006912420644905 - MSE: 0.288090082300874
Epoch: 9
Training loss: 0.16364081340090272 - MSE: 0.30751142892997274
Validation loss : 0.15224947774726333 - MSE: 0.29088555215174683
Epoch: 10
Training loss: 0.15624311541769711 - MSE: 0.29860838299589704
Validation loss : 0.15263732759789986 - MSE: 0.28903691439119805
Epoch: 11
Training loss: 0.15317542393346728 - MSE: 0.29561704899634816
Validation loss : 0.1465996318129879 - MSE: 0.2883039288153636
Epoch: 12
Training loss: 0.15394915797308012 - MSE: 0.29761309661938545
Validation loss : 0.14934668831075681 - MSE: 0.2889731477139799
Epoch: 13
Training loss: 0.1515518317405645 - MSE: 0.293403737656915
Validation loss : 0.14790588775367447 - MSE: 0.2870366854261706
Epoch: 14
Training loss: 0.15473641882541822 - MSE: 0.2978288996002309
Validation loss : 0.14924548374432506 - MSE: 0.2876623407733963
Epoch: 15
Training loss: 0.15178937489535602 - MSE: 0.29491923654080343
Validation loss : 0.1417709912991885 - MSE: 0.28157878501973976
Epoch: 16
Training loss: 0.1528880622635033 - MSE: 0.29616020437308754
Validation loss : 0.14535920316296996 - MSE: 0.2877532904456922
Epoch: 17
Training loss: 0.14908536092430202 - MSE: 0.29369922969737966
Validation loss : 0.14267539989316103 - MSE: 0.2845677065163917
Epoch: 18
Training loss: 0.1528856832401704 - MSE: 0.29543899790480355
Validation loss : 0.14451625288435907 - MSE: 0.2880325385683692
Epoch: 19
Training loss: 0.14715763338401838 - MSE: 0.2894570824084226
Validation loss : 0.1392400273206559 - MSE: 0.28102629808100493
Epoch: 20
Training loss: 0.1496212546935844 - MSE: 0.2936362344117262
Validation loss : 0.14045483167424347 - MSE: 0.2781410631520079
Epoch: 21
Training loss: 0.15020131709309398 - MSE: 0.29264906647405664
Validation loss : 0.14210618603410144 - MSE: 0.279907465990816
Epoch: 22
Training loss: 0.14703214569442769 - MSE: 0.2902175784407383
Validation loss : 0.15019087527285924 - MSE: 0.29736463912534333
Epoch: 23
Training loss: 0.14753472385218905 - MSE: 0.2909915520698562
Validation loss : 0.14351169821439366 - MSE: 0.28804395697824053
Epoch: 24
Training loss: 0.14944542596485408 - MSE: 0.29246118657753634
Validation loss : 0.1458486494692889 - MSE: 0.2909268395457848
Epoch: 25
Training loss: 0.1488783634669587 - MSE: 0.2935176709923817
Validation loss : 0.15622048407341493 - MSE: 0.3037462926966687
Epoch: 26
Training loss: 0.1580004657283047 - MSE: 0.30098549026857363
Validation loss : 0.14231884614987808 - MSE: 0.28691459123960655
Epoch: 27
Training loss: 0.15134912697116132 - MSE: 0.2957935972907406
Validation loss : 0.14332976147080911 - MSE: 0.28577034088777054
Epoch: 28
Training loss: 0.15213962139438858 - MSE: 0.2972412166773918
Validation loss : 0.14392689954150806 - MSE: 0.2874576256659167
Epoch: 29
Training loss: 0.15294972841207147 - MSE: 0.2961479841129994
Validation loss : 0.14877552177869913 - MSE: 0.2962307486115943
Epoch: 30
Training loss: 0.14635942581341352 - MSE: 0.28953058687721034
Validation loss : 0.1395587156893629 - MSE: 0.28314074548913326
Epoch: 31
Training loss: 0.14861172377155518 - MSE: 0.29207846836634094
Validation loss : 0.13993756952836658 - MSE: 0.28164475508498127
Epoch: 32
Training loss: 0.14971404562368612 - MSE: 0.2942225782866977
Validation loss : 0.1402660423720425 - MSE: 0.2809878029065933
Epoch: 33
Training loss: 0.14612065743522595 - MSE: 0.28930121538091785
Validation loss : 0.14097531207583167 - MSE: 0.2808437031164752
Epoch: 34
Training loss: 0.14832691235590706 - MSE: 0.2931213777167157
Validation loss : 0.14187540943649682 - MSE: 0.28367678066771107
Epoch: 35
Training loss: 0.14736021030221494 - MSE: 0.29049721034771264
Validation loss : 0.13767617585306818 - MSE: 0.27810918026328907
Epoch: 36
Training loss: 0.1519300071948071 - MSE: 0.2955017029009571
Validation loss : 0.14467720444681068 - MSE: 0.28518483911658266
Epoch: 37
Training loss: 0.14739096877614255 - MSE: 0.29104104119321234
Validation loss : 0.141712813553485 - MSE: 0.28553840936882796
Epoch: 38
Training loss: 0.1468086552234168 - MSE: 0.29125300619032174
Validation loss : 0.143355394064477 - MSE: 0.28905096501748534
Epoch: 39
Training loss: 0.1449406272377157 - MSE: 0.2881529349416305
Validation loss : 0.13753724527178388 - MSE: 0.27860348743762475
Epoch: 40
Training loss: 0.14706021250428888 - MSE: 0.29088540496429394
Validation loss : 0.13603153390189013 - MSE: 0.2780690413609771
Epoch: 41
Training loss: 0.14470690173016587 - MSE: 0.28827477075927904
Validation loss : 0.14500650165207457 - MSE: 0.29081711620662537
Epoch: 42
Training loss: 0.14754516780754637 - MSE: 0.2922447967529956
Validation loss : 0.14339050165180003 - MSE: 0.28819093725445566
Epoch: 43
Training loss: 0.14583707765349882 - MSE: 0.2896304506353187
Validation loss : 0.1402102830170682 - MSE: 0.28243193669871236
Epoch: 44
Training loss: 0.14331870839983074 - MSE: 0.2848559377751014
Validation loss : 0.14275129641773124 - MSE: 0.2878157747166267
Epoch: 45
Training loss: 0.14965795960069309 - MSE: 0.2933179161332805
Validation loss : 0.15008017894896594 - MSE: 0.2979395094326539
Epoch: 46
Training loss: 0.1448788712094278 - MSE: 0.2876340257847299
Validation loss : 0.1400701514247692 - MSE: 0.2834749095637172
Epoch: 47
Training loss: 0.15252359801440069 - MSE: 0.29715065902971916
Validation loss : 0.14274169905393413 - MSE: 0.285833791805133
Epoch: 48
Training loss: 0.14883149661085932 - MSE: 0.29267712062415263
Validation loss : 0.14383876668007084 - MSE: 0.2851881391195065
Epoch: 49
Training loss: 0.14646350911955544 - MSE: 0.290724427632249
Validation loss : 0.14670919288288464 - MSE: 0.28673545282485885
Prediction MSE: 0.2765
Finished at: 10:48:19
Time taken: 6490 s.
0 days 1 hours 48 minutes 10 seconds