oversample_best_model_0.0005_norbert_128_512.txt

Started at: 10:28:59
norbert, lr: 0.0005, bs: 128, ml: 512, oversample: True, frozen: True
({'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: 0.5474709353663705 - MAE: 0.5900718832469579
Validation loss : 0.3975696893962654 - MAE: 0.5077667229703434
Epoch: 1
Training loss: 0.3858125217936256 - MAE: 0.4986324394793062
Validation loss : 0.3667544569518115 - MAE: 0.482246268008046
Epoch: 2
Training loss: 0.36537060791795906 - MAE: 0.4824265926142948
Validation loss : 0.35301732372593236 - MAE: 0.47073127836812234
Epoch: 3
Training loss: 0.35378617481751873 - MAE: 0.4737870529422116
Validation loss : 0.3432318809870127 - MAE: 0.4630917172957513
Epoch: 4
Training loss: 0.34562364654107525 - MAE: 0.4671846467624914
Validation loss : 0.3360972178948892 - MAE: 0.4578467580637334
Epoch: 5
Training loss: 0.34099755598740145 - MAE: 0.46506329563394005
Validation loss : 0.33305841201060526 - MAE: 0.4550205160383188
Epoch: 6
Training loss: 0.33549089919437064 - MAE: 0.45988426559688494
Validation loss : 0.32705698222727386 - MAE: 0.45137572711731144
Epoch: 7
Training loss: 0.33034171164035797 - MAE: 0.4562066604592301
Validation loss : 0.32257608626339884 - MAE: 0.4478843028231632
Epoch: 8
Training loss: 0.32764916826378215 - MAE: 0.45407177982423313
Validation loss : 0.31829442849030365 - MAE: 0.4456899946875793
Epoch: 9
Training loss: 0.32817742445252157 - MAE: 0.4535115894624534
Validation loss : 0.3146412018183115 - MAE: 0.4434792121537539
Epoch: 10
Training loss: 0.3238557942888953 - MAE: 0.45152478313241395
Validation loss : 0.31213215879491857 - MAE: 0.4413900558031203
Epoch: 11
Training loss: 0.3201356159015135 - MAE: 0.44856331131575006
Validation loss : 0.310855512683456 - MAE: 0.4403171216889173
Epoch: 12
Training loss: 0.3234574454751882 - MAE: 0.4509541958789688
Validation loss : 0.309375981624062 - MAE: 0.4396080555552377
Epoch: 13
Training loss: 0.31835763305425646 - MAE: 0.44638152149399546
Validation loss : 0.30611808678588354 - MAE: 0.43832580394348114
Epoch: 14
Training loss: 0.3158693106337027 - MAE: 0.44678859955016065
Validation loss : 0.3040122353547328 - MAE: 0.4369072234530497
Epoch: 15
Training loss: 0.3157148630781607 - MAE: 0.4464642437497678
Validation loss : 0.3044232351554407 - MAE: 0.4363399582452833
Epoch: 16
Training loss: 0.3163840314204043 - MAE: 0.4460831709787618
Validation loss : 0.30293904687907247 - MAE: 0.4353190726666535
Epoch: 17
Training loss: 0.3132088063792749 - MAE: 0.44469758632876605
Validation loss : 0.30206634426439133 - MAE: 0.4341864746339031
Epoch: 18
Training loss: 0.3158950824629177 - MAE: 0.4462852090206161
Validation loss : 0.29990197355682785 - MAE: 0.43375448437821906
Epoch: 19
Training loss: 0.31697546311400154 - MAE: 0.44707657889454633
Validation loss : 0.29999372725551193 - MAE: 0.4333450350832339
Prediction MAE: 0.4294
Finished at: 10:28:59
Time taken: 14229 s.
0 days 3 hours 57 minutes 9 seconds

 
 

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