home-standard-results / frozen_norbert2_256_0.001_128.txt
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norbert2, 0.001, 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: 0.29203572511672976 - MAE: 0.4185605652063043
Validation loss : 0.20290079547299278 - MAE: 0.3455509528402281
Epoch: 1
Training loss: 0.20370910704135894 - MAE: 0.34512545205719725
Validation loss : 0.18058336940076616 - MAE: 0.3245456262237876
Epoch: 2
Training loss: 0.1859086936712265 - MAE: 0.32826601535007893