RoBERTa is an example of how training strategies can significantly affect the performance of deep learning models, even without architectural changes. By optimizing BERT’s original pretraining procedure, it achieves higher accuracy and improved language understanding across a wide range of NLP tasks.
https://www.geeksforgeeks.org/machine-learning/overview-of-roberta-model/

