| Started at: 14:17:48 | |
| norbert, 1e-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: 1.3330334556102752 - MAE: 1.0653747688382613 | |
| Validation loss : 0.5231347481409708 - MAE: 0.6171697097292664 | |
| Epoch: 1 | |
| Training loss: 0.3128315532207489 - MAE: 0.43671153662223156 | |
| Validation loss : 0.20432966450850168 - MAE: 0.34596581908071156 | |
| Epoch: 2 | |
| Training loss: 0.19540926158428193 - MAE: 0.33617642239605205 | |
| Validation loss : 0.21281807786888546 - MAE: 0.3575687279224856 | |
| Epoch: 3 | |
| Training loss: 0.1932804489135742 - MAE: 0.33425226542978514 | |
| Validation loss : 0.2000986999935574 - MAE: 0.3447082118806135 | |
| Epoch: 4 | |
| Training loss: 0.18802032589912415 - MAE: 0.3281110312098591 | |
| Validation loss : 0.19574010372161865 - MAE: 0.3395373068060569 | |
| Epoch: 5 | |
| Training loss: 0.18469770431518553 - MAE: 0.3241541854128732 | |
| Validation loss : 0.1924436373843087 - MAE: 0.33688439139205867 | |
| Epoch: 6 | |
| Training loss: 0.1818109393119812 - MAE: 0.32240801661175444 | |
| Validation loss : 0.19014660186237758 - MAE: 0.33599573152960993 | |
| Epoch: 7 | |
| Training loss: 0.17917088508605958 - MAE: 0.3201692401415248 | |
| Validation loss : 0.18607674207952288 - MAE: 0.3306027206484211 | |
| Epoch: 8 | |
| Training loss: 0.17679700374603272 - MAE: 0.3176190476490989 | |
| Validation loss : 0.18504294256369272 - MAE: 0.33000827389053045 | |
| Epoch: 9 | |
| Training loss: 0.17402234852313994 - MAE: 0.3150488911109403 | |
| Validation loss : 0.18120352096027798 - MAE: 0.3246608110068889 | |
| Epoch: 10 | |
| Training loss: 0.173046532869339 - MAE: 0.3148196289814468 | |
| Validation loss : 0.17906600568029615 - MAE: 0.3237311143142642 | |
| Epoch: 11 | |
| Training loss: 0.1705036473274231 - MAE: 0.3112107218650756 | |
| Validation loss : 0.1760163108507792 - MAE: 0.3198911185599855 | |
| Epoch: 12 | |
| Training loss: 0.1678083872795105 - MAE: 0.3088459379403741 | |
| Validation loss : 0.17386506497859955 - MAE: 0.31714384692713377 | |
| Epoch: 13 | |
| Training loss: 0.16735825181007385 - MAE: 0.30842220163044853 | |
| Validation loss : 0.1721103141705195 - MAE: 0.3159097267488672 | |
| Epoch: 14 | |
| Training loss: 0.1652207288146019 - MAE: 0.3054954983859297 | |
| Validation loss : 0.17092538542217678 - MAE: 0.3142484988727579 | |
| Epoch: 15 | |
| Training loss: 0.16237905770540237 - MAE: 0.3039998422759211 | |
| Validation loss : 0.16934122807449764 - MAE: 0.3120851409503983 | |
| Epoch: 16 | |
| Training loss: 0.1619192498922348 - MAE: 0.30333253457530457 | |
| Validation loss : 0.16680956383546194 - MAE: 0.3094736144975825 | |
| Epoch: 17 | |
| Training loss: 0.1613722950220108 - MAE: 0.3026871873525974 | |
| Validation loss : 0.16573732097943625 - MAE: 0.3083839718422077 | |
| Epoch: 18 | |
| Training loss: 0.160523963868618 - MAE: 0.3018826613056862 | |
| Validation loss : 0.16510427991549173 - MAE: 0.30733596125990065 | |
| Epoch: 19 | |
| Training loss: 0.159045991897583 - MAE: 0.2991104721987654 | |
| Validation loss : 0.16246195799774593 - MAE: 0.3037374353461474 | |
| Prediction MAE: 0.2955 | |
| Finished at: 14:17:48 | |
| Time taken: 1309 s. | |
| 0 days 0 hours 21 minutes 49 seconds | |
| Preds: [[1.4738966226577759], [1.1266108751296997], [1.5049185752868652], [1.4732810258865356], [1.3398478031158447], [1.3945691585540771], [1.7134597301483154], [1.2327015399932861], [1.4624308347702026], [1.5554126501083374], [1.2546650171279907], [1.4131332635879517], [1.3473771810531616], [1.489489197731018], [1.311163067817688], [1.6620911359786987], [1.231664776802063], [1.4601095914840698], [1.299129605293274], [1.2398903369903564], [1.434951663017273], [1.7396972179412842], [1.2979809045791626], [1.284919261932373], [1.3027887344360352], [1.3323012590408325], [1.4555503129959106], [1.586586833000183], [1.238307237625122], [1.3653087615966797], [1.6017919778823853], [1.0304601192474365], [0.7506864666938782], [1.668791651725769], [1.2513916492462158], [1.4293278455734253], [1.2560495138168335], [1.589707612991333], [1.2405205965042114], [1.4898391962051392], [1.378732442855835], [1.2433112859725952], [1.2786552906036377], [1.179050326347351], [1.3077360391616821], 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