Summary

In this chapter, we have examined techniques to improve model performance. Our focus has been on data augmentation, domain adaptation, and HPO, all of which contribute to an improvement in our classification task. However, we are not limited to these methods alone. There are several approaches to improving model performance that can be found in the literature. In this chapter, we have only covered the most common ones. We have updated entire model parameters when fine-tuning so far.

In the upcoming chapter, we will discuss how to enhance the parameter efficiency of model fine-tuning with special parameter-efficient techniques to reduce time complexity.