| Started at: 16:49:23 | |
| ({'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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.5667896963655948 - MAE: 0.6061317877768119 | |
| Validation loss : 0.203789513025965 - MAE: 0.35416855011653287 | |
| Epoch: 1 | |
| Training loss: 0.2108965314924717 - MAE: 0.34637541457062393 | |
| Validation loss : 0.2082464269229344 - MAE: 0.3600320203398089 | |
| Epoch: 2 | |
| Training loss: 0.18308445289731026 - MAE: 0.32601322404867966 | |
| Validation loss : 0.17594509039606368 - MAE: 0.3242118801233004 | |
| Epoch: 3 | |
| Training loss: 0.1728629194200039 - MAE: 0.31534360312572923 | |
| Validation loss : 0.17077444280896867 - MAE: 0.31773444856437383 | |
| Epoch: 4 | |
| Training loss: 0.16811294555664064 - MAE: 0.31006240678041075 | |
| Validation loss : 0.16851326610360826 - MAE: 0.3153601244520371 | |
| Epoch: 5 | |
| Training loss: 0.16502456665039061 - MAE: 0.30727297754888744 | |
| Validation loss : 0.16689058925424302 - MAE: 0.31343508612956145 | |
| Epoch: 6 | |
| Training loss: 0.1630000188946724 - MAE: 0.3057954604335588 | |
| Validation loss : 0.16549592358725412 - MAE: 0.3118342921838298 | |
| Epoch: 7 | |
| Training loss: 0.1617749534547329 - MAE: 0.3052927962671703 | |
| Validation loss : 0.16392718255519867 - MAE: 0.30942739591218243 | |
| Epoch: 8 | |
| Training loss: 0.16146896183490753 - MAE: 0.3032446478251277 | |
| Validation loss : 0.1630906824554716 - MAE: 0.30861916504093045 | |
| Epoch: 9 | |
| Training loss: 0.15880076959729195 - MAE: 0.3010108642757721 | |
| Validation loss : 0.1622341764824731 - MAE: 0.30763147521892625 | |
| Epoch: 10 | |
| Training loss: 0.15709432661533357 - MAE: 0.30005160435303907 | |
| Validation loss : 0.16156114850725448 - MAE: 0.3069836120415014 | |
| Epoch: 11 | |
| Training loss: 0.1562284104526043 - MAE: 0.2971917225261673 | |
| Validation loss : 0.16086377842085703 - MAE: 0.30616937318847653 | |
| Epoch: 12 | |
| Training loss: 0.15665148869156836 - MAE: 0.29886107484499885 | |
| Validation loss : 0.16063292537416732 - MAE: 0.30627242834325336 | |
| Epoch: 13 | |
| Training loss: 0.15311288759112357 - MAE: 0.2959721916005743 | |
| Validation loss : 0.15952973706381662 - MAE: 0.30466797674604745 | |
| Epoch: 14 | |
| Training loss: 0.15453336387872696 - MAE: 0.2957146544027995 | |
| Validation loss : 0.15920051293713705 - MAE: 0.30456549311198844 | |
| Epoch: 15 | |
| Training loss: 0.15352084413170813 - MAE: 0.296151794753851 | |
| Validation loss : 0.15867003904921667 - MAE: 0.30387889517935024 | |
| Epoch: 16 | |
| Training loss: 0.15266137197613716 - MAE: 0.29473264327626775 | |
| Validation loss : 0.15819367659943445 - MAE: 0.3032808285376364 | |
| Epoch: 17 | |
| Training loss: 0.15218983069062234 - MAE: 0.2927051117576667 | |
| Validation loss : 0.15799812546798161 - MAE: 0.3033794568629024 | |
| Epoch: 18 | |
| Training loss: 0.1524551659822464 - MAE: 0.29439460307285725 | |