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norbert2, 0.0005, 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: 0.3353100383281708 - MAE: 0.4553341033264035
Validation loss : 0.20341295666164821 - MAE: 0.3450441513966228
Epoch: 1
Training loss: 0.21215539872646333 - MAE: 0.3530871885300038
Validation loss : 0.19502520395649803 - MAE: 0.3432616956552773
Epoch: 2
Training loss: 0.19663703739643096 - MAE: 0.3396870770030848
Validation loss : 0.18265276153882345 - MAE: 0.3286732326987826
Epoch: 3