RoBERTa (Robustly Optimized BERT Pretraining Approach) is a transformers model developed by Facebook AI, building upon BERT. It improves upon BERT's pretraining procedure by training the model longer, with bigger batches and more data, and removes BERT's next sentence prediction objective. It is commonly used for various natural language processing tasks such as question answering, sentiment analysis, and text classification, often achieving state-of-the-art results.
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