| Started at: 13:39:01 | |
| 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: 0.31723648086190226 - MAE: 0.43731430662973386 | |
| Validation loss : 0.22693050972052983 - MAE: 0.3720038111268189 | |
| Epoch: 1 | |
| Training loss: 0.20759156867861747 - MAE: 0.3492405031413845 | |
| Validation loss : 0.18326088786125183 - MAE: 0.3277961618031656 | |
| Epoch: 2 | |
| Training loss: 0.19137692749500274 - MAE: 0.3327547039977217 | |
| Validation loss : 0.1755183126245226 - MAE: 0.3227190541521342 | |
| Epoch: 3 | |
| Training loss: 0.18025614991784095 - MAE: 0.3210334292827734 | |
| Validation loss : 0.1690996310540608 - MAE: 0.3163311547284712 | |
| Epoch: 4 | |
| Training loss: 0.17526042610406875 - MAE: 0.316883641964065 | |
| Validation loss : 0.16490017942019872 - MAE: 0.31192979272830107 | |
| Epoch: 5 | |
| Training loss: 0.16934362202882766 - MAE: 0.3118938876851917 | |
| Validation loss : 0.16087437953267777 - MAE: 0.306626932491948 | |
| Epoch: 6 | |
| Training loss: 0.1686125099658966 - MAE: 0.3093647594294477 | |
| Validation loss : 0.1611258898462568 - MAE: 0.30606865870740835 | |
| Epoch: 7 | |
| Training loss: 0.1647215336561203 - MAE: 0.306965339566958 | |
| Validation loss : 0.16415890412671225 - MAE: 0.3067067406125915 | |
| Epoch: 8 | |
| Training loss: 0.16374187208712102 - MAE: 0.30592013048097305 | |
| Validation loss : 0.1591270033802305 - MAE: 0.3027121792112116 | |
| Epoch: 9 | |
| Training loss: 0.15822869427502156 - MAE: 0.29933113000114797 | |
| Validation loss : 0.15573506376573018 - MAE: 0.29944502052409083 | |
| Epoch: 10 | |
| Training loss: 0.1600269578397274 - MAE: 0.30174670300669987 | |
| Validation loss : 0.15634232759475708 - MAE: 0.29929978158098747 | |
| Epoch: 11 | |
| Training loss: 0.1545223116874695 - MAE: 0.2966458965741706 | |
| Validation loss : 0.1528506651520729 - MAE: 0.2972938627511181 | |
| Epoch: 12 | |
| Training loss: 0.15608188956975938 - MAE: 0.29646249957909354 | |
| Validation loss : 0.1535063236951828 - MAE: 0.29711658081386355 | |
| Epoch: 13 | |
| Training loss: 0.15382483936846256 - MAE: 0.2943215145665842 | |
| Validation loss : 0.15108988327639444 - MAE: 0.2957606447529792 | |
| Epoch: 14 | |
| Training loss: 0.15104165561497213 - MAE: 0.2907296995583519 | |
| Validation loss : 0.15084478897707804 - MAE: 0.2945350400054091 | |
| Epoch: 15 | |
| Training loss: 0.151147535815835 - MAE: 0.29126536830169286 | |
| Validation loss : 0.1494908950158528 - MAE: 0.2942661095347375 | |
| Epoch: 16 | |
| Training loss: 0.148521925881505 - MAE: 0.2890721542382107 | |
| Validation loss : 0.15142755103962763 - MAE: 0.29491746535838226 | |
| Epoch: 17 | |
| Training loss: 0.14726257808506488 - MAE: 0.28788408376059177 | |
| Validation loss : 0.14902088791131973 - MAE: 0.29374532304459944 | |
| Epoch: 18 | |
| Training loss: 0.14754043594002725 - MAE: 0.2885949545616958 | |
| Validation loss : 0.14842634541647776 - MAE: 0.2923649788412395 | |
| Epoch: 19 | |
| Training loss: 0.14395816326141359 - MAE: 0.28592509194430865 | |
| Validation loss : 0.14918865902083261 - MAE: 0.29345875541160954 | |
| Prediction MAE: 0.2763 | |
| Finished at: 13:39:01 | |
| Time taken: 1895 s. | |
| 0 days 0 hours 31 minutes 35 seconds | |
| Preds: [[1.3965860605239868], [1.5013256072998047], [1.5043728351593018], [1.421944499015808], [1.5131720304489136], [1.1994622945785522], [1.8380194902420044], [1.1012629270553589], [1.4602962732315063], [1.398328185081482], [1.2769352197647095], [1.4922255277633667], [1.3084057569503784], [1.1652671098709106], [1.2056927680969238], [1.6255393028259277], [1.2358579635620117], [1.2166821956634521], [1.3006367683410645], [1.2964017391204834], [1.4976520538330078], [1.402060866355896], [1.255393385887146], [1.359437346458435], [1.3307684659957886], [1.0976470708847046], [1.628524661064148], [1.628575086593628], [1.2013689279556274], [1.2572017908096313], [1.2549524307250977], [1.1101887226104736], [1.6390976905822754], [1.1876169443130493], [1.1729727983474731], [1.417343020439148], [1.29049813747406], [1.4611831903457642], [1.219664454460144], [1.5615382194519043], [1.2518895864486694], [1.1392525434494019], [1.310683012008667], [1.3777967691421509], [1.5401725769042969], 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