frozen_norbert2_512_0.001_128.txt

Started at: 14:11:08
norbert2, 0.001, 512
({'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: 0.35933828124633205 - MAE: 0.4751237658554443
Validation loss : 0.23144497871398925 - MAE: 0.3734726961030864
Epoch: 1
Training loss: 0.23247717320919037 - MAE: 0.3732509105049625
Validation loss : 0.20686508417129518 - MAE: 0.3514252349695031
Epoch: 2
Training loss: 0.2124561335031803 - MAE: 0.35437058404120675
Validation loss : 0.1896565705537796 - MAE: 0.3355357861287618
Epoch: 3
Training loss: 0.2004259446492562 - MAE: 0.33960825331495564
Validation loss : 0.1811432033777237 - MAE: 0.32659469019295384
Epoch: 4
Training loss: 0.1885477098134848 - MAE: 0.3281006162329132
Validation loss : 0.1764070361852646 - MAE: 0.32144223855301585
Epoch: 5
Training loss: 0.18467810062261727 - MAE: 0.3265258309195063
Validation loss : 0.17094221711158752 - MAE: 0.31634747500053095
Epoch: 6
Training loss: 0.17537888999168688 - MAE: 0.31988395789738044
Validation loss : 0.16810469925403596 - MAE: 0.3138018870663194
Epoch: 7
Training loss: 0.1734414536219377 - MAE: 0.3134416996838174
Validation loss : 0.16584380269050597 - MAE: 0.3113483650285477
Epoch: 8
Training loss: 0.17009368538856506 - MAE: 0.3113253722143749
Validation loss : 0.16499556303024293 - MAE: 0.31061547000081563
Epoch: 9
Training loss: 0.16696236683772162 - MAE: 0.3090170955211275
Validation loss : 0.1626953661441803 - MAE: 0.30815754798418404
Epoch: 10
Training loss: 0.16321299053155458 - MAE: 0.30656158219089447
Validation loss : 0.16109866201877593 - MAE: 0.3066560629112524
Epoch: 11
Training loss: 0.16488801974516648 - MAE: 0.30673736154366793
Validation loss : 0.1611247330904007 - MAE: 0.3061875016992714
Epoch: 12
Training loss: 0.16279753011006576 - MAE: 0.3052001668581482
Validation loss : 0.15895505845546723 - MAE: 0.3041957691400855
Epoch: 13
Training loss: 0.16205430260071388 - MAE: 0.30296354010373683
Validation loss : 0.1576485514640808 - MAE: 0.30286596250441605
Epoch: 14
Training loss: 0.15873357882866493 - MAE: 0.29913588520156115
Validation loss : 0.15669676959514617 - MAE: 0.30180299394532806
Epoch: 15
Training loss: 0.1584533154964447 - MAE: 0.2998023957789063
Validation loss : 0.15532913208007812 - MAE: 0.30010611438559937
Epoch: 16
Training loss: 0.15160657465457916 - MAE: 0.29512139346045474
Validation loss : 0.155458864569664 - MAE: 0.30031144473289956
Epoch: 17
Training loss: 0.154553166948832 - MAE: 0.2959875188179299
Validation loss : 0.15447661876678467 - MAE: 0.29856949716613224
Epoch: 18
Training loss: 0.15589827528366676 - MAE: 0.2969922193921997
Validation loss : 0.15317214727401735 - MAE: 0.29797493440552103
Epoch: 19
Training loss: 0.15659963970000929 - MAE: 0.29645999002357104
Validation loss : 0.15315419733524321 - MAE: 0.2979769588090472
Prediction MAE: 0.2823