|
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 |
|
|