| Started at: 07:12:36 | |
| norbert2, 0.001, 320 | |
| ({'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: 0.3532784849405289 - MAE: 0.4670037483599114 | |
| Validation loss : 0.2768782547542027 - MAE: 0.42022237556116127 | |
| Epoch: 1 | |
| Training loss: 0.2149739757180214 - MAE: 0.35659756905009127 | |
| Validation loss : 0.18670830769198282 - MAE: 0.332010069275546 | |
| Epoch: 2 | |
| Training loss: 0.19223860129714013 - MAE: 0.3341908845597538 | |
| Validation loss : 0.18065378282751357 - MAE: 0.3276773701287296 | |
| Epoch: 3 | |
| Training loss: 0.18267506137490272 - MAE: 0.32204697756425843 | |
| Validation loss : 0.17629351360457285 - MAE: 0.3232328892238157 | |
| Epoch: 4 | |
| Training loss: 0.17724562138319017 - MAE: 0.3184336083924317 | |
| Validation loss : 0.17597177624702454 - MAE: 0.3246827085074674 | |
| Epoch: 5 | |
| Training loss: 0.17323379665613176 - MAE: 0.315665849870586 | |
| Validation loss : 0.1731493834938322 - MAE: 0.3218653565928077 | |
| Epoch: 6 | |
| Training loss: 0.17015334516763686 - MAE: 0.3124225365765558 | |
| Validation loss : 0.16903618616717203 - MAE: 0.3173628836244732 | |
| Epoch: 7 | |
| Training loss: 0.16733192503452302 - MAE: 0.30821431460419746 | |
| Validation loss : 0.16630683200699942 - MAE: 0.31361782968184887 | |
| Epoch: 8 | |
| Training loss: 0.16473447754979134 - MAE: 0.3063740717882017 | |
| Validation loss : 0.1640524651323046 - MAE: 0.31127526838966124 | |
| Epoch: 9 | |
| Training loss: 0.16429233476519584 - MAE: 0.30495064896348884 | |
| Validation loss : 0.1619275254862649 - MAE: 0.308032721089819 | |
| Epoch: 10 | |
| Training loss: 0.16504003778100013 - MAE: 0.30767144570696153 | |
| Validation loss : 0.1616602156843458 - MAE: 0.30507819780145606 | |
| Epoch: 11 | |
| Training loss: 0.16262706443667413 - MAE: 0.3036855354971657 | |
| Validation loss : 0.15870441496372223 - MAE: 0.3020884268212755 | |
| Epoch: 12 | |
| Training loss: 0.15984584838151933 - MAE: 0.3020569311274707 | |
| Validation loss : 0.1584023024354662 - MAE: 0.3011171731134149 | |
| Epoch: 13 | |
| Training loss: 0.15794557370245457 - MAE: 0.2997596327966126 | |
| Validation loss : 0.16060944114412581 - MAE: 0.3023205950101459 | |
| Epoch: 14 | |
| Training loss: 0.1547440316528082 - MAE: 0.2970264285250956 | |
| Validation loss : 0.1580854526587895 - MAE: 0.3008519902551677 | |
| Epoch: 15 | |
| Training loss: 0.1542632382363081 - MAE: 0.2950711675008595 | |
| Validation loss : 0.1567665593964713 - MAE: 0.2992491086220254 | |
| Epoch: 16 | |
| Training loss: 0.15160554870963097 - MAE: 0.2943624127736374 | |
| Validation loss : 0.15607393213680812 - MAE: 0.2993329082850877 | |
| Epoch: 17 | |
| Training loss: 0.15076256059110166 - MAE: 0.29138762120969075 | |
| Validation loss : 0.15495712629386357 - MAE: 0.29848027247589065 | |
| Epoch: 18 | |
| Training loss: 0.14870206639170647 - MAE: 0.29066662712501057 | |
| Validation loss : 0.1542458619390215 - MAE: 0.2984311317874588 | |
| Epoch: 19 | |
| Training loss: 0.14955925270915033 - MAE: 0.29022475462577546 | |
| Validation loss : 0.15516912511416844 - MAE: 0.29738643332620596 | |
| Prediction MAE: 0.2804 | |
| Finished at: 07:12:36 | |
| Time taken: 1494 s. | |
| 0 days 0 hours 24 minutes 54 seconds | |
| Preds: [[1.3202298879623413], [1.5004537105560303], [1.5160045623779297], [1.4977713823318481], [1.5471822023391724], [1.3614071607589722], [1.6813806295394897], [1.2970889806747437], [1.4646751880645752], [1.3413623571395874], [1.2291547060012817], [1.2937488555908203], [1.4195783138275146], [1.3462313413619995], [1.2454183101654053], [1.3503090143203735], [1.2895885705947876], [1.3662210702896118], [1.3261830806732178], [1.1782110929489136], [1.4220677614212036], [1.4413021802902222], [1.4587675333023071], [1.3817135095596313], [1.2712069749832153], [1.2816740274429321], [1.5850142240524292], [1.1622509956359863], [1.2139252424240112], [1.4548680782318115], [1.449897289276123], [1.2759491205215454], [1.5245563983917236], [1.420841097831726], [1.071494698524475], [1.4822636842727661], [1.1244345903396606], [1.5329687595367432], [1.2212531566619873], [1.2778342962265015], [1.338276743888855], [1.085084319114685], [1.4999006986618042], [1.391856074333191], [1.494728922843933], 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