08-05-2023_norbert_batchsize_128_all_units_0.0005_1_200_freeze_True_earlystop_3.txt

Started at: 10:46:39
({'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: 0.4224580281972885 - MAE: 0.49800078344951854
Validation loss : 0.18566939760656917 - MAE: 0.32860604518901193
Epoch: 1
Training loss: 0.18062527552247049 - MAE: 0.3249083793427436
Validation loss : 0.17773295325391433 - MAE: 0.32505375557728605
Epoch: 2
Training loss: 0.17239214196801186 - MAE: 0.3161783884766083
Validation loss : 0.1721238993546542 - MAE: 0.31926727109425135
Epoch: 3
Training loss: 0.16808241829276085 - MAE: 0.3116257252131245
Validation loss : 0.16848680245525696 - MAE: 0.31521207737718204
Epoch: 4
Training loss: 0.16556511253118514 - MAE: 0.30872840319635675
Validation loss : 0.16570698601358078 - MAE: 0.31138876910079605
Epoch: 5
Training loss: 0.16236369609832763 - MAE: 0.3063052400904153
Validation loss : 0.16389068610527935 - MAE: 0.30842703017799394
Epoch: 6
Training loss: 0.15821502283215522 - MAE: 0.3002932636657733
Validation loss : 0.16259106204790227 - MAE: 0.3064878174082187
Epoch: 7
Training loss: 0.15610535070300102 - MAE: 0.29970597196416643
Validation loss : 0.16118212920777938 - MAE: 0.30487487035579575
Epoch: 8
Training loss: 0.15775163292884828 - MAE: 0.3012530324315296
Validation loss : 0.16053338874788844 - MAE: 0.30467935002674695
Epoch: 9
Training loss: 0.15300563350319862 - MAE: 0.2966342830465275
Validation loss : 0.1598155660664334 - MAE: 0.3024349783524495
Epoch: 10
Training loss: 0.15308804035186768 - MAE: 0.29689653867839455
Validation loss : 0.15887342218090506 - MAE: 0.30158871157294653
Epoch: 11
Training loss: 0.15205074325203896 - MAE: 0.2968189546038619
Validation loss : 0.15820855384363847 - MAE: 0.3009622242442208
Epoch: 12
Training loss: 0.14986242949962617 - MAE: 0.29354556482882427
Validation loss : 0.15779440937673345 - MAE: 0.3011403656557578
Epoch: 13
Training loss: 0.14915254317224025 - MAE: 0.29414236445220476
Validation loss : 0.1570692671572461 - MAE: 0.29919229552027593
Epoch: 14
Training loss: 0.1507771185040474 - MAE: 0.2942755191435603
Validation loss : 0.15648663569899166 - MAE: 0.2990671428995643
Epoch: 15
Training loss: 0.14960825718939305 - MAE: 0.29282880951675244
Validation loss : 0.15587416028275208 - MAE: 0.29818727256321803
Epoch: 16
Training loss: 0.14761282175779342 - MAE: 0.290322619453174
Validation loss : 0.15559193623416565 - MAE: 0.2986693999701733
Epoch: 17
Training loss: 0.14804843626916409 - MAE: 0.2924950026363286
Validation loss : 0.15508160126559875 - MAE: 0.2970730023460469
Epoch: 18
Training loss: 0.14751567400991916 - MAE: 0.28970414097885494
Validation loss : 0.15513849389903686 - MAE: 0.2973691548251751
Epoch: 19
Training loss: 0.1472933314740658 - MAE: 0.2901643469721373
Validation loss : 0.15472981070770936 - MAE: 0.29793042253066404
Epoch: 20
Training loss: 0.14694578036665917 - MAE: 0.2901893315825422
Validation loss : 0.15442096441984177 - MAE: 0.2974630742447502
Stopped after 20 epochs.
Prediction MAE: 0.2842
Finished at: 10:46:39
Time taken: 4676 s.