Before revision:  We show that RobBERT improves state of the art results in Dutch-specific language tasks, and also outperforms other existing Dutch BERT-based models in sentiment analysis .
After revision:  We measured its performance on various tasks as well as the importance of the fine-tuning dataset size. We also evaluated the importance of language-specific tokenizers and the model's fairness. We found that RobBERT improves state of the art results in Dutch-specific language tasks, and also outperforms other existing Dutch BERT-based models in sentiment analysis .