Introduction In 2018 Google AI released a self-supervised learning model called BERT for learning language representations. And then, in 2019, Yinhan Liu et al. (Meta AI) proposed a robustly optimized approach called RoBERTa (Robustly Optimized BERT-Pretraining Approach) for pretraining natural language processing (NLP) systems that improve on Bidirectional Encoder Representations from Transformers (BERT). In this article, we will take a look a look at the RoBERTa in more detail.
