| Started at: 08:27:59 | |
| norbert, 0.001, 512 | |
| ({'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: 0.6942410709766241 - MAE: 0.6755542403683183 | |
| Validation loss : 0.5259636163711547 - MAE: 0.6145447715726008 | |
| Epoch: 1 | |
| Training loss: 0.2714241169966184 - MAE: 0.41139053013950594 | |
| Validation loss : 0.22291880548000337 - MAE: 0.3552533479572475 | |
| Epoch: 2 | |
| Training loss: 0.2128986234848316 - MAE: 0.34851965161762277 | |
| Validation loss : 0.20447058975696564 - MAE: 0.35253076289330665 | |
| Epoch: 3 | |
| Training loss: 0.18250102492479178 - MAE: 0.3272099786903672 | |
| Validation loss : 0.1768460363149643 - MAE: 0.3204192954993362 | |
| Epoch: 4 | |
| Training loss: 0.17732494381757882 - MAE: 0.31724122285223966 | |
| Validation loss : 0.17855587601661682 - MAE: 0.32511627596495785 | |
| Epoch: 5 | |
| Training loss: 0.1710700816833056 - MAE: 0.3123455685841235 | |
| Validation loss : 0.17140080630779267 - MAE: 0.31721616662712504 | |
| Epoch: 6 | |
| Training loss: 0.1681888263959151 - MAE: 0.3085497958832519 | |
| Validation loss : 0.1719079226255417 - MAE: 0.3183222493749484 | |
| Epoch: 7 | |
| Training loss: 0.16573260151422942 - MAE: 0.3061277076796458 | |
| Validation loss : 0.1696848064661026 - MAE: 0.31607796307735603 | |
| Epoch: 8 | |
| Training loss: 0.1637361485224504 - MAE: 0.30538103560313107 | |
| Validation loss : 0.16837692856788636 - MAE: 0.3147678825233238 | |
| Epoch: 9 | |
| Training loss: 0.16596387441341692 - MAE: 0.306460615979059 | |
| Validation loss : 0.16714616119861603 - MAE: 0.3133195305170598 | |
| Epoch: 10 | |
| Training loss: 0.16143193153234628 - MAE: 0.30336240071987036 | |
| Validation loss : 0.16653320491313933 - MAE: 0.31252041315238616 | |
| Epoch: 11 | |
| Training loss: 0.16217435552523687 - MAE: 0.30364196639735547 | |
| Validation loss : 0.1653230756521225 - MAE: 0.3110606215237233 | |
| Epoch: 12 | |
| Training loss: 0.1605491844507364 - MAE: 0.30143663888637007 | |
| Validation loss : 0.16475171744823455 - MAE: 0.31038784146752435 | |
| Epoch: 13 | |
| Training loss: 0.1591638189095717 - MAE: 0.30089815609107995 | |
| Validation loss : 0.16403158009052277 - MAE: 0.30957783010243456 | |
| Epoch: 14 | |
| Training loss: 0.15901278990965623 - MAE: 0.3003773360219678 | |
| Validation loss : 0.16402316391468047 - MAE: 0.3094852388844685 | |
| Epoch: 15 | |
| Training loss: 0.1596058435164965 - MAE: 0.29972277582996765 | |
| Validation loss : 0.16301234662532807 - MAE: 0.3081341348644224 | |
| Epoch: 16 | |
| Training loss: 0.1581736963528853 - MAE: 0.29789149479835464 | |
| Validation loss : 0.16350801587104796 - MAE: 0.30898745288175966 | |
| Epoch: 17 | |
| Training loss: 0.1569846123456955 - MAE: 0.2980571965448593 | |