Started at: 21:09:33 norbert2, 0.001, 256 ({'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: 0.30325276613235475 - MAE: 0.4293982748763984 Validation loss : 0.19999180734157562 - MAE: 0.34104668989482667 Epoch: 1 Training loss: 0.20694544672966003 - MAE: 0.3466696903029176 Validation loss : 0.18371513154771593 - MAE: 0.33124410963863 Epoch: 2 Training loss: 0.19004206776618957 - MAE: 0.3316648070614613 Validation loss : 0.17363174425231087 - MAE: 0.3190259149052752 Epoch: 3 Training loss: 0.18229258060455322 - MAE: 0.32259291375499355 Validation loss : 0.17075078023804557 - MAE: 0.31441923958666185 Epoch: 4 Training loss: 0.17311329424381255 - MAE: 0.31484578517047557 Validation loss : 0.16754941973421308 - MAE: 0.31124443306506033 Epoch: 5 Training loss: 0.16847123920917512 - MAE: 0.30949252590925136 Validation loss : 0.16543650461567772 - MAE: 0.3088372330968671 Epoch: 6 Training loss: 0.16129764080047607 - MAE: 0.3050791582077723 Validation loss : 0.16268478665086958 - MAE: 0.3066587666652184 Epoch: 7 Training loss: 0.1602504187822342 - MAE: 0.30409024840989457 Validation loss : 0.16163558264573416 - MAE: 0.30493840053209487 Epoch: 8 Training loss: 0.1599578830599785 - MAE: 0.30184255458273057 Validation loss : 0.1605621808105045 - MAE: 0.30371230230399254 Epoch: 9 Training loss: 0.1557137942314148 - MAE: 0.29758976090338174 Validation loss : 0.15996821721394858 - MAE: 0.3034986495165665 Epoch: 10 Training loss: 0.15526981115341187 - MAE: 0.2975494841901401 Validation loss : 0.1575407518280877 - MAE: 0.30259751573311344 Epoch: 11 Training loss: 0.15275930255651474 - MAE: 0.29392310225054646 Validation loss : 0.15727593998114267 - MAE: 0.3019466991756661 Epoch: 12 Training loss: 0.15028272598981857 - MAE: 0.29133814976206407 Validation loss : 0.15676536824968126 - MAE: 0.3012369469697969 Epoch: 13 Training loss: 0.1497017914056778 - MAE: 0.29114720473293804 Validation loss : 0.1556344214412901 - MAE: 0.2998055385465465 Epoch: 14 Training loss: 0.15074193984270096 - MAE: 0.2943675943971396 Validation loss : 0.15503714647558 - MAE: 0.29838652275657607 Epoch: 15 Training loss: 0.14802899420261384 - MAE: 0.28958511291054967 Validation loss : 0.15510348478953043 - MAE: 0.29876681028633734 Epoch: 16 Training loss: 0.1490761521458626 - MAE: 0.29058729954116685 Validation loss : 0.15475206242667305 - MAE: 0.2989880845937616 Epoch: 17 Training loss: 0.14650940656661987 - MAE: 0.28725294445981275 Validation loss : 0.15506087409125435 - MAE: 0.2992345139529641 Stopped after 17 epochs. Prediction MAE: 0.2824 Finished at: 21:09:33 Time taken: 5612 s. 0 days 1 hours 33 minutes 32 seconds Preds: [[1.3458541631698608], [1.5858205556869507], [1.539846658706665], [1.5389145612716675], [1.4472216367721558], [1.3851441144943237], [1.6543686389923096], [1.384022831916809], [1.5346662998199463], [1.3023076057434082], [1.1972711086273193], [1.310227870941162], [1.4674986600875854], [1.3123379945755005], [1.3304429054260254], [1.3390679359436035], [1.239362120628357], [1.4755796194076538], [1.4114844799041748], [1.199621319770813], [1.49049973487854], [1.4627671241760254], [1.4983159303665161], [1.4456411600112915], [1.3796495199203491], [1.3506771326065063], [1.697124719619751], [1.164307951927185], [1.232744812965393], [1.4827359914779663], [1.5594596862792969], [1.3565778732299805], [1.6489120721817017], [1.3832160234451294], [1.1424287557601929], [1.557885766029358], [1.2594966888427734], [1.5356087684631348], [1.261776089668274], [1.423033356666565], [1.372597575187683], 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