home-standard-results / 03-05-2023_norbert_batchsize_512_all_units_0.001_1_150_freeze_True.txt
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({'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: 0.6967193094583658 - MAE: 0.6750990625330823
Validation loss : 0.5263436496257782 - MAE: 0.613448569191522
Epoch: 1
Training loss: 0.26826212727106535 - MAE: 0.4087051125792896
Validation loss : 0.22296061515808105 - MAE: 0.3555378972565709
Epoch: 2
Training loss: 0.2124968572304799 - MAE: 0.3476390507866737
Validation loss : 0.20461321175098418 - MAE: 0.3532590132614058