| Started at: 16:02:20 | |
| norbert, 1e-06, 128 | |
| ({'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: 0.7460856667973779 - MAE: 0.6937262853295475 | |
| Validation loss : 0.44463845926362117 - MAE: 0.5404389452025509 | |
| Epoch: 1 | |
| Training loss: 0.42787456051869827 - MAE: 0.5316044299587891 | |
| Validation loss : 0.4109697841309212 - MAE: 0.5172857106468047 | |
| Epoch: 2 | |
| Training loss: 0.3988200171427293 - MAE: 0.5103238186167652 | |
| Validation loss : 0.38310027605778463 - MAE: 0.49533129267688575 | |
| Epoch: 3 | |
| Training loss: 0.3718023626641794 - MAE: 0.4883303679176176 | |
| Validation loss : 0.35466546625704376 - MAE: 0.4719971885902407 | |
| Epoch: 4 | |
| Training loss: 0.34883382564241233 - MAE: 0.4694786853187755 | |
| Validation loss : 0.3274613445675051 - MAE: 0.4497400936882447 | |
| Epoch: 5 | |
| Training loss: 0.32371379624713553 - MAE: 0.45055896282082925 | |
| Validation loss : 0.3024664642037572 - MAE: 0.43046571174501985 | |
| Epoch: 6 | |
| Training loss: 0.298250751061873 - MAE: 0.4311035397705723 | |
| Validation loss : 0.28173082583659403 - MAE: 0.4146433680641701 | |
| Epoch: 7 | |
| Training loss: 0.27592497847296976 - MAE: 0.4124746433320494 | |
| Validation loss : 0.2617965574200089 - MAE: 0.398852922643977 | |
| Epoch: 8 | |
| Training loss: 0.25866106680848383 - MAE: 0.3997834659180525 | |
| Validation loss : 0.24574068228940707 - MAE: 0.3877418061586343 | |
| Epoch: 9 | |
| Training loss: 0.24225996245037426 - MAE: 0.38608393859401835 | |
| Validation loss : 0.23333295052115982 - MAE: 0.37684259385811697 | |
| Epoch: 10 | |
| Training loss: 0.2291112703355876 - MAE: 0.3778737300680278 | |
| Validation loss : 0.2209517375842945 - MAE: 0.36782286820733 | |
| Epoch: 11 | |
| Training loss: 0.2189519001678987 - MAE: 0.36925461376740537 | |
| Validation loss : 0.21126504403513832 - MAE: 0.36075527268024365 | |
| Epoch: 12 | |
| Training loss: 0.20796230923045766 - MAE: 0.36019755104434287 | |
| Validation loss : 0.20206612670743787 - MAE: 0.3536469631105317 | |
| Epoch: 13 | |
| Training loss: 0.2011198039759289 - MAE: 0.35527753432966236 | |
| Validation loss : 0.19521727473349185 - MAE: 0.3488031373290791 | |
| Epoch: 14 | |
| Training loss: 0.19580315405672247 - MAE: 0.3502173428758647 | |
| Validation loss : 0.1880948547575925 - MAE: 0.3410039793040633 | |
| Epoch: 15 | |
| Training loss: 0.18735542852770198 - MAE: 0.3436254560944687 | |
| Validation loss : 0.18261285891404022 - MAE: 0.337073126837476 | |
| Epoch: 16 | |
| Training loss: 0.18526539477435025 - MAE: 0.34151268377118005 | |
| Validation loss : 0.17641934752464294 - MAE: 0.3313521931566946 | |
| Epoch: 17 | |
| Training loss: 0.17847436382011933 - MAE: 0.33507327310140644 | |
| Validation loss : 0.17367160843836293 - MAE: 0.32822675514768107 | |
| Epoch: 18 | |
| Training loss: 0.17289844019846481 - MAE: 0.32901488381900473 | |
| Validation loss : 0.16798554723327225 - MAE: 0.32231628187994693 | |
| Epoch: 19 | |
| Training loss: 0.16958028145811774 - MAE: 0.3264631854413058 | |
| Validation loss : 0.16419280380816073 - MAE: 0.3190655186846878 | |
| Prediction MAE: 0.3185 | |