Does the repo pick the weights that perform best in val dataset to evaluate in test dataset?

[pierowu]

Thank you for your solid work. Does the repo implement the function that pick the model weights that perform best in val dataset to evaluate in test dataset? From the code below, it seems that the repo directly choose the best results in test dataset as the final results? https://github.com/eric-ai-lab/PEViT/blob/be6fb43ff54adeeffe720c663dd238976070558e/vision_benchmark/evaluation/lora_clip.py#L284-L291