Hi, thanks for your great work. I noticed that in your scripts, you hard-coded the lora alpha to be 128 and the rank r to be 4 (therefore leading to a scaling factor of 32):
https://github.com/eric-ai-lab/PEViT/blob/be6fb43ff54adeeffe720c663dd238976070558e/vision_benchmark/evaluation/lora_model.py#L455-L463
Was there a principled justification for these choices? I am just wondering if you did any tuning on these values to suggest what would be good values to use.
Hi, thanks for your great work. I noticed that in your scripts, you hard-coded the lora alpha to be 128 and the rank r to be 4 (therefore leading to a scaling factor of 32):
https://github.com/eric-ai-lab/PEViT/blob/be6fb43ff54adeeffe720c663dd238976070558e/vision_benchmark/evaluation/lora_model.py#L455-L463
Was there a principled justification for these choices? I am just wondering if you did any tuning on these values to suggest what would be good values to use.