home-standard-results / frozen /oversampled_frozen_norbert2_256_0.005_64.txt
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norbert2, 0.005, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
Epoch: 0
Training loss: 0.6569913045926528 - MAE: 0.6331589070184822
Validation loss : 0.3369679701955695 - MAE: 0.46112028136408306
Epoch: 1
Training loss: 0.348409844528545 - MAE: 0.4680741973736075
Validation loss : 0.34815617768388046 - MAE: 0.4621900997363863
Epoch: 2
Training loss: 0.3364206330342726 - MAE: 0.4603252193854543
Validation loss : 0.3215927089515485 - MAE: 0.44344506688545865
Epoch: 3
Training loss: 0.324529029564424 - MAE: 0.4517557093205867
Validation loss : 0.304106238641237 - MAE: 0.4338629278168784
Epoch: 4