| Started at: 16:58:38 | |
| norbert, 1e-06, 128 | |
| ({'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: 0.7940866667032241 - MAE: 0.7335820706168809 | |
| Validation loss : 0.2009572711061029 - MAE: 0.347151339356108 | |
| Epoch: 1 | |
| Training loss: 0.19440142974257468 - MAE: 0.33696885945893024 | |
| Validation loss : 0.19513289893374725 - MAE: 0.34191775396532464 | |
| Epoch: 2 | |
| Training loss: 0.1880853456258774 - MAE: 0.32884479290870544 | |
| Validation loss : 0.1912411977263058 - MAE: 0.3377114550114297 | |
| Epoch: 3 | |
| Training loss: 0.18214607641100883 - MAE: 0.32429566931252046 | |
| Validation loss : 0.18406631753725164 - MAE: 0.33177290516437835 | |
| Epoch: 4 | |
| Training loss: 0.17814580470323563 - MAE: 0.3207397197424783 | |
| Validation loss : 0.1817777980776394 - MAE: 0.3288081865926719 | |
| Epoch: 5 | |
| Training loss: 0.17603084936738014 - MAE: 0.3188514731069929 | |
| Validation loss : 0.17798463649609508 - MAE: 0.3250048632803593 | |
| Epoch: 6 | |
| Training loss: 0.17104241520166397 - MAE: 0.3136062115504468 | |
| Validation loss : 0.1733261583482518 - MAE: 0.31932644642810926 | |
| Epoch: 7 | |
| Training loss: 0.16838639885187148 - MAE: 0.3123990239326607 | |
| Validation loss : 0.17248562416609595 - MAE: 0.31865962855570096 | |
| Epoch: 8 | |
| Training loss: 0.1654125490784645 - MAE: 0.3085900949825916 | |
| Validation loss : 0.16888807626331553 - MAE: 0.3153836119416533 | |
| Epoch: 9 | |
| Training loss: 0.1645794503390789 - MAE: 0.30737329828383714 | |
| Validation loss : 0.16706455805722406 - MAE: 0.3121367546740557 | |
| Epoch: 10 | |
| Training loss: 0.1616331295669079 - MAE: 0.30512118468554295 | |
| Validation loss : 0.16470523529192982 - MAE: 0.3095945078707051 | |
| Epoch: 11 | |
| Training loss: 0.16030726864933967 - MAE: 0.3040617280659885 | |
| Validation loss : 0.16272581894608104 - MAE: 0.3069817555674387 | |
| Epoch: 12 | |
| Training loss: 0.1589731414616108 - MAE: 0.3032846674015245 | |
| Validation loss : 0.16099156351650462 - MAE: 0.3047476777439796 | |
| Epoch: 13 | |
| Training loss: 0.15562866285443305 - MAE: 0.29989675715351916 | |
| Validation loss : 0.15904783939614014 - MAE: 0.3019063086532548 | |
| Epoch: 14 | |
| Training loss: 0.15696120083332063 - MAE: 0.30097456977168896 | |
| Validation loss : 0.15785902738571167 - MAE: 0.30075530215047686 | |
| Epoch: 15 | |
| Training loss: 0.151818914860487 - MAE: 0.2954353682482574 | |
| Validation loss : 0.1551657340982381 - MAE: 0.29802607762302763 | |
| Epoch: 16 | |
| Training loss: 0.1526854731142521 - MAE: 0.29552840146002957 | |
| Validation loss : 0.1538231990793172 - MAE: 0.29607686650726545 | |
| Epoch: 17 | |
| Training loss: 0.14886232271790503 - MAE: 0.2912935844145451 | |
| Validation loss : 0.15218366288086949 - MAE: 0.29439642167515684 | |
| Epoch: 18 | |
| Training loss: 0.14939917340874673 - MAE: 0.2918649516581707 | |
| Validation loss : 0.1501968634479186 - MAE: 0.29225924753570237 | |
| Epoch: 19 | |
| Training loss: 0.14575455881655217 - MAE: 0.28907613342875266 | |
| Validation loss : 0.14966202571111567 - MAE: 0.2911094795840583 | |
| Prediction MAE: 0.2849 | |
| Finished at: 16:58:38 | |
| Time taken: 1676 s. | |
| 0 days 0 hours 27 minutes 56 seconds | |
| Preds: [[1.5308486223220825], [1.2447385787963867], [1.4961973428726196], [1.618331789970398], [1.3561042547225952], [1.2500697374343872], [1.6135714054107666], [1.2214158773422241], [1.289319634437561], [1.3052258491516113], [1.445700764656067], [1.4039233922958374], [1.3334254026412964], [1.4847227334976196], [1.2218044996261597], [1.5931329727172852], [1.284149169921875], [1.4267297983169556], [1.3285239934921265], [1.192193627357483], [1.4109309911727905], [1.5656428337097168], [1.189156174659729], [1.4692915678024292], [1.2078384160995483], [1.1691964864730835], [1.5385483503341675], [1.7035439014434814], [1.2352203130722046], [1.4000827074050903], [1.7220889329910278], [1.1109410524368286], [0.9123282432556152], [1.239050030708313], [1.2856688499450684], [1.3225153684616089], [1.4285131692886353], [1.46766996383667], [1.1672754287719727], [1.5616246461868286], [1.217557668685913], [1.218222975730896], [1.3529748916625977], [1.5935243368148804], [1.1198209524154663], 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