home-standard-results / frozen_norbert_128_0.001_128.txt
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norbert, 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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {})
Epoch: 0
Training loss: 0.34940282940864564 - MAE: 0.45046864085630683
Validation loss : 0.18274873582755818 - MAE: 0.3261804763692437
Epoch: 1
Training loss: 0.17366532385349273 - MAE: 0.3175050753369902