Thank you for your valuable benchmark👌🏽. I am currently conducting an experiment to compare the accuracy of various PEFT (Parameter-Efficient Fine-Tuning) methods on the ImageNet dataset. I have been trying to locate the corresponding YAML configuration file for ImageNet but haven't had much luck. Could you please provide the config file, or point me in the right direction to find it?
Additionally, I would appreciate it if you could shed some light on how such configuration files are typically generated. For example, how is the label_smoothing parameter determined for a given dataset? Any guidance on how these hyperparameters are chosen would be extremely helpful. 😄
Thank you for your valuable benchmark👌🏽. I am currently conducting an experiment to compare the accuracy of various PEFT (Parameter-Efficient Fine-Tuning) methods on the ImageNet dataset. I have been trying to locate the corresponding YAML configuration file for ImageNet but haven't had much luck. Could you please provide the config file, or point me in the right direction to find it?
Additionally, I would appreciate it if you could shed some light on how such configuration files are typically generated. For example, how is the label_smoothing parameter determined for a given dataset? Any guidance on how these hyperparameters are chosen would be extremely helpful. 😄