| 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 | |