home-standard-results / oversampled_False_unfrozen_norbert_256_5e-06_64.txt
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norbert, 5e-06, 256
({'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: 0.5341290700435638 - MAE: 0.5775812031776163
Validation loss : 0.20913811690277523 - MAE: 0.3559517687797103
Epoch: 1
Training loss: 0.1925646984577179 - MAE: 0.33014900555771165
Validation loss : 0.19771589504347908 - MAE: 0.3469693647155534
Epoch: 2