| Started at: 12:52:23 | |
| norbert, 5e-06, 256 | |
| ({'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: 0.6053906446153468 - MAE: 0.6184159507940801 | |
| Validation loss : 0.4188641560705085 - MAE: 0.5190200870427507 | |
| Epoch: 1 | |
| Training loss: 0.37205150289969013 - MAE: 0.4891842565138049 | |
| Validation loss : 0.3361840279478776 - MAE: 0.4554968620483818 | |
| Epoch: 2 | |
| Training loss: 0.30589349486611106 - MAE: 0.43993173479624126 | |
| Validation loss : 0.27830397376888677 - MAE: 0.41290173204153435 | |
| Epoch: 3 | |
| Training loss: 0.2584832324223085 - MAE: 0.4034832139365259 | |
| Validation loss : 0.2353723849120893 - MAE: 0.378263007542243 | |
| Epoch: 4 | |
| Training loss: 0.2208004041151567 - MAE: 0.3714158687728299 | |
| Validation loss : 0.20094563145386546 - MAE: 0.35106286126524094 | |
| Epoch: 5 | |
| Training loss: 0.1931754020127383 - MAE: 0.3488251679890293 | |
| Validation loss : 0.17955732188726725 - MAE: 0.33182885819892266 | |
| Epoch: 6 | |
| Training loss: 0.17624386982484297 - MAE: 0.3333650190493288 | |
| Validation loss : 0.16801361818062632 - MAE: 0.3229406276757107 | |
| Epoch: 7 | |
| Training loss: 0.16203992610627954 - MAE: 0.3199497565391834 | |
| Validation loss : 0.1510195426250759 - MAE: 0.306880161949399 | |
| Epoch: 8 | |
| Training loss: 0.15154187828302385 - MAE: 0.3089620812443599 | |
| Validation loss : 0.14486609556173025 - MAE: 0.29924708380840065 | |
| Epoch: 9 | |
| Training loss: 0.14079513807188382 - MAE: 0.29892621874422587 | |
| Validation loss : 0.13840533440050326 - MAE: 0.290965015323921 | |
| Epoch: 10 | |
| Training loss: 0.13332889432256873 - MAE: 0.29082796894473617 | |
| Validation loss : 0.12829295977165825 - MAE: 0.27816580614753955 | |
| Epoch: 11 | |
| Training loss: 0.12650601890954105 - MAE: 0.28307433471783455 | |
| Validation loss : 0.12042002497535002 - MAE: 0.26958139319431695 | |
| Epoch: 12 | |
| Training loss: 0.1180860929868438 - MAE: 0.27275313703304305 | |
| Validation loss : 0.1134116300626805 - MAE: 0.2581940768065212 | |
| Epoch: 13 | |
| Training loss: 0.1120438659732992 - MAE: 0.2657403258096752 | |
| Validation loss : 0.11130064725875854 - MAE: 0.2551686039616152 | |
| Epoch: 14 | |
| Training loss: 0.10740146054462953 - MAE: 0.26015119794445635 | |
| Validation loss : 0.10768120618242967 - MAE: 0.2487607443147535 | |
| Epoch: 15 | |
| Training loss: 0.10318632572889327 - MAE: 0.2533595643372031 | |
| Validation loss : 0.10223148920034107 - MAE: 0.2425870576871514 | |
| Epoch: 16 | |
| Training loss: 0.09851837293668227 - MAE: 0.2475603386691453 | |
| Validation loss : 0.10070653259754181 - MAE: 0.2398464623664194 | |
| Epoch: 17 | |
| Training loss: 0.09413933239199898 - MAE: 0.24082904543342942 | |
| Validation loss : 0.09791698738148338 - MAE: 0.23589278404154412 | |