| Started at: 16:37:47 | |
| norbert, 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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.705045671417163 - MAE: 0.6795999799454809 | |
| Validation loss : 0.5231851398944855 - MAE: 0.6070007130005846 | |
| Epoch: 1 | |
| Training loss: 0.27550448935765487 - MAE: 0.41625981207830454 | |
| Validation loss : 0.22968277633190154 - MAE: 0.36517249703161836 | |
| Epoch: 2 | |
| Training loss: 0.21635628434327933 - MAE: 0.35274382349651096 | |
| Validation loss : 0.21269009709358216 - MAE: 0.36010716711110835 | |
| Epoch: 3 | |
| Training loss: 0.18535992847039148 - MAE: 0.33004425036134727 | |
| Validation loss : 0.18337373435497284 - MAE: 0.32651156156871924 | |
| Epoch: 4 | |
| Training loss: 0.1812063088783851 - MAE: 0.3208040321827366 | |
| Validation loss : 0.1858665943145752 - MAE: 0.3325716478991182 | |
| Epoch: 5 | |
| Training loss: 0.17214654729916498 - MAE: 0.316136821359296 | |
| Validation loss : 0.17814911901950836 - MAE: 0.32257972570427673 | |
| Epoch: 6 | |
| Training loss: 0.17141198080319625 - MAE: 0.31321139258225855 | |
| Validation loss : 0.1777978867292404 - MAE: 0.32284442981911027 | |
| Epoch: 7 | |
| Training loss: 0.16959327115462378 - MAE: 0.3111701142555443 | |
| Validation loss : 0.17621228098869324 - MAE: 0.32106183850840037 | |
| Epoch: 8 | |
| Training loss: 0.16779288878807655 - MAE: 0.3094038930632173 | |
| Validation loss : 0.1748877912759781 - MAE: 0.31951614166027126 | |
| Epoch: 9 | |
| Training loss: 0.1653314817410249 - MAE: 0.307709720323974 | |
| Validation loss : 0.1730688512325287 - MAE: 0.31715951795743663 | |
| Epoch: 10 | |
| Training loss: 0.16389595086757952 - MAE: 0.30489745294112275 | |
| Validation loss : 0.17233743965625764 - MAE: 0.31660991613883066 | |
| Epoch: 11 | |
| Training loss: 0.16461462240952712 - MAE: 0.3054734588553344 | |
| Validation loss : 0.17147772908210754 - MAE: 0.3155182440279272 | |
| Epoch: 12 | |
| Training loss: 0.16255388810084417 - MAE: 0.305324528561229 | |
| Validation loss : 0.17003358602523805 - MAE: 0.3135681150612889 | |
| Epoch: 13 | |
| Training loss: 0.16119984136177942 - MAE: 0.30325289946220124 | |
| Validation loss : 0.16933952569961547 - MAE: 0.31273303119244017 | |
| Epoch: 14 | |
| Training loss: 0.16087082486886245 - MAE: 0.30327439047652743 | |
| Validation loss : 0.16953205466270446 - MAE: 0.3132799269292876 | |
| Epoch: 15 | |
| Training loss: 0.15766322498138136 - MAE: 0.2990013613567323 | |
| Validation loss : 0.16824131906032563 - MAE: 0.31157220288794407 | |
| Epoch: 16 | |
| Training loss: 0.16016030196960157 - MAE: 0.30148382650654304 | |
| Validation loss : 0.16795747876167297 - MAE: 0.3114815258163153 | |
| Epoch: 17 | |
| Training loss: 0.1595529833665261 - MAE: 0.30025267613454387 | |
| Validation loss : 0.1675391674041748 - MAE: 0.31098592953211646 | |
| Epoch: 18 | |
| Training loss: 0.1588211036645449 - MAE: 0.30078385438014293 | |
| Validation loss : 0.16672768890857698 - MAE: 0.3098618228733228 | |
| Epoch: 19 | |
| Training loss: 0.15605913561124068 - MAE: 0.29795697702597 | |
| Validation loss : 0.16626542508602143 - MAE: 0.30929304671660746 | |
| Prediction MAE: 0.2961 | |
| Finished at: 16:37:47 | |
| Time taken: 1983 s. | |
| 0 days 0 hours 33 minutes 3 seconds | |
| Preds: [[1.5035954713821411], [1.4428273439407349], [1.4549638032913208], [1.5724717378616333], [1.3138126134872437], [1.225777268409729], [1.5190058946609497], [1.3317012786865234], [1.347412109375], [1.3299940824508667], [1.431439757347107], [1.5044468641281128], [1.4039361476898193], [1.4283826351165771], [1.3317803144454956], [1.5059572458267212], [1.2996047735214233], [1.47578763961792], [1.310225486755371], [1.218257188796997], [1.453320860862732], [1.5095242261886597], [1.3670941591262817], [1.366146206855774], [1.1834298372268677], [1.225291132926941], [1.425220251083374], [1.715334415435791], [1.2367382049560547], [1.4374653100967407], [1.6112900972366333], [1.2516378164291382], [1.543735146522522], [1.3575373888015747], [1.3272701501846313], [1.4786096811294556], [1.3807177543640137], [1.4973644018173218], [1.2776920795440674], [1.6360276937484741], [1.3423033952713013], [1.3810890913009644], [1.1135528087615967], [1.4940253496170044], [1.1580194234848022], 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