| 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 | |