| Started at: 16:05:12 | |
| norbert, 0.001, 320 | |
| ({'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: 0.5762677684426307 - MAE: 0.6118854715373047 | |
| Validation loss : 0.21141972073486873 - MAE: 0.3609583366423162 | |
| Epoch: 1 | |
| Training loss: 0.21102749779820443 - MAE: 0.34836694451800443 | |
| Validation loss : 0.21293789786951883 - MAE: 0.36360750057199404 | |
| Epoch: 2 | |
| Training loss: 0.18259856328368188 - MAE: 0.3243689929907013 | |
| Validation loss : 0.18117137679031917 - MAE: 0.329247425803855 | |
| Epoch: 3 | |
| Training loss: 0.17436085492372513 - MAE: 0.31863324386216885 | |
| Validation loss : 0.17593795699732645 - MAE: 0.32252189332349507 | |
| Epoch: 4 | |
| Training loss: 0.17129840925335885 - MAE: 0.31424783128879047 | |
| Validation loss : 0.17302861383983068 - MAE: 0.31924465234263655 | |
| Epoch: 5 | |
| Training loss: 0.16920918673276902 - MAE: 0.31110102172938675 | |
| Validation loss : 0.17061551340988704 - MAE: 0.3167244912842947 | |
| Epoch: 6 | |
| Training loss: 0.1653466336429119 - MAE: 0.30718663648201594 | |
| Validation loss : 0.1688840091228485 - MAE: 0.3148823277205399 | |
| Epoch: 7 | |
| Training loss: 0.1616860084235668 - MAE: 0.30553906160014854 | |
| Validation loss : 0.16725684063775198 - MAE: 0.3129958080183389 | |
| Epoch: 8 | |
| Training loss: 0.1612413488328457 - MAE: 0.30383874548816886 | |
| Validation loss : 0.16608954327447073 - MAE: 0.31147184647570914 | |
| Epoch: 9 | |
| Training loss: 0.16023582145571708 - MAE: 0.30331546575363605 | |
| Validation loss : 0.1649702489376068 - MAE: 0.310041077480561 | |
| Epoch: 10 | |
| Training loss: 0.15981780216097832 - MAE: 0.3027028828885578 | |
| Validation loss : 0.16403222509792872 - MAE: 0.3092826478279413 | |
| Epoch: 11 | |
| Training loss: 0.15804845243692398 - MAE: 0.29963723801837655 | |
| Validation loss : 0.16327827743121556 - MAE: 0.3085516138884669 | |
| Epoch: 12 | |
| Training loss: 0.1555868938565254 - MAE: 0.2992816365654825 | |