| Started at: 10:28:59 | |
| norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True | |
| ({'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: 0.5474709353663705 - MAE: 0.5900718832469579 | |
| Validation loss : 0.3975696893962654 - MAE: 0.5077667229703434 | |
| Epoch: 1 | |
| Training loss: 0.3858125217936256 - MAE: 0.4986324394793062 | |
| Validation loss : 0.3667544569518115 - MAE: 0.482246268008046 | |
| Epoch: 2 | |
| Training loss: 0.36537060791795906 - MAE: 0.4824265926142948 | |
| Validation loss : 0.35301732372593236 - MAE: 0.47073127836812234 | |
| Epoch: 3 | |
| Training loss: 0.35378617481751873 - MAE: 0.4737870529422116 | |
| Validation loss : 0.3432318809870127 - MAE: 0.4630917172957513 | |
| Epoch: 4 | |
| Training loss: 0.34562364654107525 - MAE: 0.4671846467624914 | |
| Validation loss : 0.3360972178948892 - MAE: 0.4578467580637334 | |
| Epoch: 5 | |
| Training loss: 0.34099755598740145 - MAE: 0.46506329563394005 | |
| Validation loss : 0.33305841201060526 - MAE: 0.4550205160383188 | |
| Epoch: 6 | |
| Training loss: 0.33549089919437064 - MAE: 0.45988426559688494 | |
| Validation loss : 0.32705698222727386 - MAE: 0.45137572711731144 | |
| Epoch: 7 | |
| Training loss: 0.33034171164035797 - MAE: 0.4562066604592301 | |
| Validation loss : 0.32257608626339884 - MAE: 0.4478843028231632 | |
| Epoch: 8 | |
| Training loss: 0.32764916826378215 - MAE: 0.45407177982423313 | |
| Validation loss : 0.31829442849030365 - MAE: 0.4456899946875793 | |
| Epoch: 9 | |
| Training loss: 0.32817742445252157 - MAE: 0.4535115894624534 | |
| Validation loss : 0.3146412018183115 - MAE: 0.4434792121537539 | |
| Epoch: 10 | |
| Training loss: 0.3238557942888953 - MAE: 0.45152478313241395 | |
| Validation loss : 0.31213215879491857 - MAE: 0.4413900558031203 | |
| Epoch: 11 | |
| Training loss: 0.3201356159015135 - MAE: 0.44856331131575006 | |
| Validation loss : 0.310855512683456 - MAE: 0.4403171216889173 | |
| Epoch: 12 | |
| Training loss: 0.3234574454751882 - MAE: 0.4509541958789688 | |
| Validation loss : 0.309375981624062 - MAE: 0.4396080555552377 | |