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Started at: 14:09:17 |
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norbert2, 1e-06, 128 |
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({'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'}, {}) |
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Epoch: 0 |
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Training loss: 0.27911949396133423 - MAE: 0.40659444881873014 |
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Validation loss : 0.20867602176526012 - MAE: 0.3527981750883627 |
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Epoch: 1 |
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Training loss: 0.20067402869462966 - MAE: 0.3443738813489259 |
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Validation loss : 0.18265952783472397 - MAE: 0.3274485677700584 |
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Epoch: 2 |
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Training loss: 0.1841411805152893 - MAE: 0.3259698872141148 |
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Validation loss : 0.1689106410040575 - MAE: 0.31383750534412613 |
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Epoch: 3 |
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Training loss: 0.17074111104011536 - MAE: 0.3145261499885815 |
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Validation loss : 0.16013307606472688 - MAE: 0.3051025622499357 |
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Epoch: 4 |
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Training loss: 0.1639400851726532 - MAE: 0.30646231000580526 |
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Validation loss : 0.1528616074253531 - MAE: 0.29642873545836607 |
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Epoch: 5 |
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Training loss: 0.15575984567403794 - MAE: 0.2993765289133215 |
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Validation loss : 0.14734076357939663 - MAE: 0.29066910247984484 |
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Epoch: 6 |
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Training loss: 0.14977987259626388 - MAE: 0.29226248364706103 |
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Validation loss : 0.14347205924637177 - MAE: 0.28507644327461074 |
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Epoch: 7 |
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Training loss: 0.14246483147144318 - MAE: 0.2847612362019316 |
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Validation loss : 0.13875692469232223 - MAE: 0.2803811997241932 |
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Epoch: 8 |
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Training loss: 0.13901878967881204 - MAE: 0.28157276737922127 |
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Validation loss : 0.13477012821856668 - MAE: 0.27596797076254853 |
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Epoch: 9 |
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Training loss: 0.13553616270422936 - MAE: 0.2773601570587253 |
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Validation loss : 0.1310576147892896 - MAE: 0.27152793902535644 |
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Epoch: 10 |
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Training loss: 0.13071139618754388 - MAE: 0.2738363522012253 |
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Validation loss : 0.12781519004527261 - MAE: 0.2676097654740519 |
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Epoch: 11 |
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Training loss: 0.12695545226335525 - MAE: 0.268180345813455 |
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Validation loss : 0.1253761912093443 - MAE: 0.2644418877791716 |
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Epoch: 12 |
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Training loss: 0.12514270216226578 - MAE: 0.26636549719195196 |
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Validation loss : 0.12222997055334203 - MAE: 0.26144890253845454 |
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Epoch: 13 |
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Training loss: 0.12074263036251068 - MAE: 0.2631149334842985 |
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Validation loss : 0.12074752809370265 - MAE: 0.2602191469613834 |
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Epoch: 14 |
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Training loss: 0.1188604213297367 - MAE: 0.2606121217549307 |
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Validation loss : 0.11908167556804769 - MAE: 0.25871316767601477 |
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Epoch: 15 |
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Training loss: 0.11777730487287044 - MAE: 0.2618875457585697 |
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Validation loss : 0.11862163508639616 - MAE: 0.2584168774684768 |
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Epoch: 16 |
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Training loss: 0.11579891853034496 - MAE: 0.25837723650531746 |
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Validation loss : 0.11732436059152379 - MAE: 0.25737838022673293 |
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Epoch: 17 |
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Training loss: 0.11113709509372711 - MAE: 0.2514921425647791 |
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Validation loss : 0.11609748970059787 - MAE: 0.25643850775758364 |
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Epoch: 18 |
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Training loss: 0.10931667134165764 - MAE: 0.25138145435581405 |
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Validation loss : 0.11603722852819107 - MAE: 0.25660570439116404 |
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Epoch: 19 |
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Training loss: 0.110377426892519 - MAE: 0.2521915592467824 |
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Validation loss : 0.11466356542180567 - MAE: 0.25502898603929 |
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Prediction MAE: 0.2410 |
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Finished at: 14:09:17 |
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Time taken: 1653 s. |
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0 days 0 hours 27 minutes 33 seconds |
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Preds: [[1.425929069519043], [1.3405935764312744], [1.65556001663208], [1.5276304483413696], [1.5570573806762695], [1.215796947479248], [1.8275361061096191], [1.1107938289642334], [1.7333660125732422], [1.1903386116027832], [1.229825496673584], [1.3787875175476074], [1.4287880659103394], [1.2485706806182861], [1.4563484191894531], [1.5031099319458008], [0.9565382599830627], [1.3442496061325073], [1.3096380233764648], [0.9751045107841492], [1.5723222494125366], [1.3983383178710938], [1.179593801498413], [1.5714349746704102], [1.2621979713439941], [1.1531915664672852], [1.3725615739822388], [1.5643177032470703], [1.0092203617095947], [1.331554889678955], [1.3333114385604858], [0.9492893218994141], [1.8373873233795166], [1.3069653511047363], [1.2552268505096436], [1.4393463134765625], [1.156587839126587], [1.5867433547973633], [1.3078066110610962], [1.438793420791626], [1.1139440536499023], [1.0363367795944214], [1.521026849746704], [1.5215771198272705], [1.3200143575668335], 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[1.1134613752365112]] |
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