| Started at: 14:11:08 | |
| norbert2, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.35933828124633205 - MAE: 0.4751237658554443 | |
| Validation loss : 0.23144497871398925 - MAE: 0.3734726961030864 | |
| Epoch: 1 | |
| Training loss: 0.23247717320919037 - MAE: 0.3732509105049625 | |
| Validation loss : 0.20686508417129518 - MAE: 0.3514252349695031 | |
| Epoch: 2 | |
| Training loss: 0.2124561335031803 - MAE: 0.35437058404120675 | |
| Validation loss : 0.1896565705537796 - MAE: 0.3355357861287618 | |
| Epoch: 3 | |
| Training loss: 0.2004259446492562 - MAE: 0.33960825331495564 | |
| Validation loss : 0.1811432033777237 - MAE: 0.32659469019295384 | |
| Epoch: 4 | |
| Training loss: 0.1885477098134848 - MAE: 0.3281006162329132 | |
| Validation loss : 0.1764070361852646 - MAE: 0.32144223855301585 | |
| Epoch: 5 | |
| Training loss: 0.18467810062261727 - MAE: 0.3265258309195063 | |
| Validation loss : 0.17094221711158752 - MAE: 0.31634747500053095 | |
| Epoch: 6 | |
| Training loss: 0.17537888999168688 - MAE: 0.31988395789738044 | |
| Validation loss : 0.16810469925403596 - MAE: 0.3138018870663194 | |
| Epoch: 7 | |
| Training loss: 0.1734414536219377 - MAE: 0.3134416996838174 | |
| Validation loss : 0.16584380269050597 - MAE: 0.3113483650285477 | |
| Epoch: 8 | |
| Training loss: 0.17009368538856506 - MAE: 0.3113253722143749 | |
| Validation loss : 0.16499556303024293 - MAE: 0.31061547000081563 | |
| Epoch: 9 | |
| Training loss: 0.16696236683772162 - MAE: 0.3090170955211275 | |
| Validation loss : 0.1626953661441803 - MAE: 0.30815754798418404 | |
| Epoch: 10 | |
| Training loss: 0.16321299053155458 - MAE: 0.30656158219089447 | |
| Validation loss : 0.16109866201877593 - MAE: 0.3066560629112524 | |
| Epoch: 11 | |
| Training loss: 0.16488801974516648 - MAE: 0.30673736154366793 | |
| Validation loss : 0.1611247330904007 - MAE: 0.3061875016992714 | |
| Epoch: 12 | |
| Training loss: 0.16279753011006576 - MAE: 0.3052001668581482 | |
| Validation loss : 0.15895505845546723 - MAE: 0.3041957691400855 | |
| Epoch: 13 | |
| Training loss: 0.16205430260071388 - MAE: 0.30296354010373683 | |
| Validation loss : 0.1576485514640808 - MAE: 0.30286596250441605 | |
| Epoch: 14 | |
| Training loss: 0.15873357882866493 - MAE: 0.29913588520156115 | |
| Validation loss : 0.15669676959514617 - MAE: 0.30180299394532806 | |
| Epoch: 15 | |
| Training loss: 0.1584533154964447 - MAE: 0.2998023957789063 | |
| Validation loss : 0.15532913208007812 - MAE: 0.30010611438559937 | |
| Epoch: 16 | |
| Training loss: 0.15160657465457916 - MAE: 0.29512139346045474 | |
| Validation loss : 0.155458864569664 - MAE: 0.30031144473289956 | |
| Epoch: 17 | |
| Training loss: 0.154553166948832 - MAE: 0.2959875188179299 | |
| Validation loss : 0.15447661876678467 - MAE: 0.29856949716613224 | |
| Epoch: 18 | |
| Training loss: 0.15589827528366676 - MAE: 0.2969922193921997 | |
| Validation loss : 0.15317214727401735 - MAE: 0.29797493440552103 | |
| Epoch: 19 | |
| Training loss: 0.15659963970000929 - MAE: 0.29645999002357104 | |
| Validation loss : 0.15315419733524321 - MAE: 0.2979769588090472 | |
| Prediction MAE: 0.2823 | |
| Finished at: 14:11:08 | |
| Time taken: 1954 s. | |
| 0 days 0 hours 32 minutes 34 seconds | |
| Preds: [[1.4994066953659058], [1.5523412227630615], [1.5647779703140259], [1.4647917747497559], [1.5857059955596924], [1.2825429439544678], [1.8233157396316528], [1.1272237300872803], [1.47707998752594], [1.4389127492904663], [1.3751577138900757], [1.4944969415664673], [1.3938645124435425], [1.2438942193984985], [1.2588430643081665], [1.6404575109481812], [1.2542177438735962], [1.2765899896621704], [1.369308352470398], [1.3659628629684448], [1.4965962171554565], [1.415747046470642], [1.2040917873382568], [1.4177416563034058], [1.3918424844741821], [1.1559443473815918], [1.7319151163101196], [1.7165992259979248], [1.2930973768234253], [1.3866509199142456], [1.2753139734268188], [1.1646100282669067], [1.4526371955871582], [1.2288460731506348], [1.1678482294082642], [1.5071144104003906], [1.338748812675476], [1.467291235923767], [1.2955948114395142], [1.572710633277893], [1.3307667970657349], [1.2094939947128296], [1.3093693256378174], [1.517194390296936], [1.587822675704956], 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