  In natural language processing (NLP), there is a need for more resources in
Portuguese, since much of the data used in the state-of-the-art research is in
other languages. In this paper, we pretrain a T5 model on the BrWac corpus, an
extensive collection of web pages in Portuguese, and evaluate its performance
against other Portuguese pretrained models and multilingual models on three
different tasks. We show that our Portuguese pretrained models have
significantly better performance over the original T5 models. Moreover, we
demonstrate the positive impact of using a Portuguese vocabulary. Our code and
models are available at https://github.com/unicamp-dl/PTT5.
