home-standard-results / frozen_norbert2_128_0.001_128.txt
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norbert2, 0.001, 128
({'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: 0.2549108934402466 - MAE: 0.3869476704225354
Validation loss : 0.17967465169289532 - MAE: 0.32511726772455946
Epoch: 1
Training loss: 0.18461654603481292 - MAE: 0.32631207394936323
Validation loss : 0.16705343916135676 - MAE: 0.3136336903292028
Epoch: 2
Training loss: 0.1698657414317131 - MAE: 0.312740198772678
Validation loss : 0.16012747936389027 - MAE: 0.3062873321185852
Epoch: 3
Training loss: 0.16400991275906562 - MAE: 0.30695357768639636
Validation loss : 0.1566739748505985 - MAE: 0.3014212709482245
Epoch: 4
Training loss: 0.15812634140253068 - MAE: 0.30061261922994836
Validation loss : 0.15389862744247212 - MAE: 0.29856862971490655
Epoch: 5
Training loss: 0.15597046166658401 - MAE: 0.2974718498748344
Validation loss : 0.1514885302852182 - MAE: 0.2959877719065883
Epoch: 6
Training loss: 0.15466642245650292 - MAE: 0.2970412442646543
Validation loss : 0.14941750554477468 - MAE: 0.2942382126775654
Epoch: 7
Training loss: 0.15143263101577759 - MAE: 0.29342989017337273
Validation loss : 0.1488131617798525 - MAE: 0.29307345811839686
Epoch: 8