| Started at: 15:33:47 | |
| norbert, 5e-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: 0.3591454255580902 - MAE: 0.45179795905328163 | |
| Validation loss : 0.1890380075749229 - MAE: 0.3379535505810491 | |
| Epoch: 1 | |
| Training loss: 0.17689531534910202 - MAE: 0.3208967210731947 | |
| Validation loss : 0.1767409689286176 - MAE: 0.3246970355944142 | |
| Epoch: 2 | |
| Training loss: 0.16872187942266464 - MAE: 0.3125690919113166 | |
| Validation loss : 0.16847357066238627 - MAE: 0.3156110621676475 | |
| Epoch: 3 | |
| Training loss: 0.15907202735543252 - MAE: 0.3024783283365623 | |
| Validation loss : 0.16047895699739456 - MAE: 0.30389921152602795 | |
| Epoch: 4 | |
| Training loss: 0.1539549046754837 - MAE: 0.29788259924346105 | |
| Validation loss : 0.15662892557242336 - MAE: 0.29814380669050355 | |
| Epoch: 5 | |
| Training loss: 0.1503433680534363 - MAE: 0.2949152129950798 | |
| Validation loss : 0.1525153215317165 - MAE: 0.29214486485502245 | |
| Epoch: 6 | |
| Training loss: 0.14536995470523834 - MAE: 0.2877235071131655 | |
| Validation loss : 0.14888650003601522 - MAE: 0.2886239349463809 | |
| Epoch: 7 | |
| Training loss: 0.14128359347581865 - MAE: 0.28447937593043593 | |
| Validation loss : 0.14314944340902216 - MAE: 0.2826997923209342 | |
| Epoch: 8 | |
| Training loss: 0.1375480856001377 - MAE: 0.2799352840783482 | |
| Validation loss : 0.14027191654724233 - MAE: 0.2795930297413221 | |
| Epoch: 9 | |
| Training loss: 0.13393679924309254 - MAE: 0.2763389379987558 | |
| Validation loss : 0.13631205786676967 - MAE: 0.27739130260099404 | |
| Epoch: 10 | |
| Training loss: 0.12704791828989984 - MAE: 0.26849840650013085 | |
| Validation loss : 0.13081551124067867 - MAE: 0.27080877530759406 | |
| Epoch: 11 | |
| Training loss: 0.12236514694988727 - MAE: 0.26361909948112355 | |
| Validation loss : 0.12586704028003357 - MAE: 0.26506955371674007 | |
| Epoch: 12 | |
| Training loss: 0.11977985665202141 - MAE: 0.2607141841131485 | |
| Validation loss : 0.12720872417968862 - MAE: 0.2672541535157223 | |
| Epoch: 13 | |
| Training loss: 0.11567172214388848 - MAE: 0.2562471491060205 | |
| Validation loss : 0.1232336930492345 - MAE: 0.26517212424314035 | |
| Epoch: 14 | |
| Training loss: 0.11422013014554977 - MAE: 0.25530885712870843 | |
| Validation loss : 0.12000418542062535 - MAE: 0.2587850452919145 | |
| Epoch: 15 | |
| Training loss: 0.10793282993137837 - MAE: 0.24747668924503544 | |
| Validation loss : 0.11827676085864797 - MAE: 0.2578255408005992 | |
| Epoch: 16 | |
| Training loss: 0.10461243025958539 - MAE: 0.24322533124245482 | |
| Validation loss : 0.11895233348888509 - MAE: 0.2602667994208777 | |
| Epoch: 17 | |
| Training loss: 0.10394789524376392 - MAE: 0.24387488659668008 | |
| Validation loss : 0.11770302889978185 - MAE: 0.2584240275180989 | |
| Epoch: 18 | |
| Training loss: 0.10249279104173184 - MAE: 0.2412635314683213 | |
| Validation loss : 0.11409987728385364 - MAE: 0.2538274607858908 | |
| Epoch: 19 | |
| Training loss: 0.10047173336148262 - MAE: 0.23884923636114294 | |
| Validation loss : 0.113751100266681 - MAE: 0.2532091686905342 | |
| Prediction MAE: 0.2497 | |