The researchers conducted a study on improving a language model called BERT. They found that by adjusting certain settings during training, they were able to achieve better results than previously published models. Their best model performed exceptionally well on various language tasks, surpassing other models. This study emphasizes the importance of specific design choices in training language models and questions the reasons behind recent performance improvements. The researchers have made their models and code available for others to use.