NãO CONHECIDO DETALHES SOBRE ROBERTA

results highlight the importance of previously overlooked design choices, and raise questions about the sourceThe original BERT uses a subword-level tokenization with the vocabulary size of 30K which is learned after input preprocessing and using several heuristics. RoBERTa uses bytes instead of unicode characters as the base for subwords and expan