old_res/01-05-2023_norbert2_batchsize_256_all_units_0.001_1_50_freeze_True.txt

Started at: 13:43:30
({'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: 0.3279145807027817 - MAE: 0.444945235064175
Validation loss : 0.1893769223242998 - MAE: 0.3301353411566738
Epoch: 1
Training loss: 0.20355157119532427 - MAE: 0.34439105121124475
Validation loss : 0.18106168322265148 - MAE: 0.3243998461684499
Epoch: 2
Training loss: 0.18309462815523148 - MAE: 0.3265442110482052
Validation loss : 0.16968298517167568 - MAE: 0.31264041441107704
Epoch: 3
Training loss: 0.17394530773162842 - MAE: 0.3184360550135582
Validation loss : 0.16314541921019554 - MAE: 0.30559976954409723
Epoch: 4
Training loss: 0.1701007355004549 - MAE: 0.3132422077610252
Validation loss : 0.1603483445942402 - MAE: 0.30315930605216734
Epoch: 5
Training loss: 0.16846717645724615 - MAE: 0.3122839580540132
Validation loss : 0.1592768169939518 - MAE: 0.30276862726062004
Epoch: 6
Training loss: 0.16371134854853153 - MAE: 0.30731200599098324
Validation loss : 0.15806453302502632 - MAE: 0.3012224913824888
Epoch: 7
Training loss: 0.15908404998481274 - MAE: 0.30178500199912656
Validation loss : 0.1557039748877287 - MAE: 0.29789592063427034
Epoch: 8
Training loss: 0.1556365123639504 - MAE: 0.2997208114056529
Validation loss : 0.1566148605197668 - MAE: 0.30040127534780803
Epoch: 9
Training loss: 0.15313343175997338 - MAE: 0.2964058475133805
Validation loss : 0.1565852202475071 - MAE: 0.3006955865384123
Epoch: 10
Training loss: 0.1554919412980477 - MAE: 0.2990614142049549
Validation loss : 0.15439901687204838 - MAE: 0.2972090680476225
Epoch: 11
Training loss: 0.15271145229538283 - MAE: 0.2965175294850005
Validation loss : 0.15377729013562202 - MAE: 0.2967959193799887
Epoch: 12
Training loss: 0.1500504898528258 - MAE: 0.2938469277211119
Validation loss : 0.14890612103044987 - MAE: 0.29051525194688743
Epoch: 13
Training loss: 0.15053828029582897 - MAE: 0.2949440131464716
Validation loss : 0.15414397604763508 - MAE: 0.29734277605660514
Epoch: 14
Training loss: 0.14817505267759165 - MAE: 0.2922910638475072
Validation loss : 0.15678012184798717 - MAE: 0.3000090778241465
Epoch: 15
Training loss: 0.1472986297061046 - MAE: 0.2905447411005458
Validation loss : 0.15427852794528008 - MAE: 0.2971987221662316
Stopped after 15 epochs.
Prediction MAE: 0.3050
Finished at: 13:43:30
Time taken: 3983 s.
0 days 1 hours 6 minutes 23 seconds

 
 

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Started at: 14:56:28
({'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