How to search for hypers on a new dataset
ericxian1997 opened this issue · 1 comments
ericxian1997 commented
Hi, thanks for your inspiring work and the generated ImageNet images are awesome. However, the generated images doesn't look good when I replace the ImageNet model with a model trained on another dataset. It seems the quality of the images is sensitive to the hypers ('tv_l1','tv_l2','r_feature' and 'l2'). Could you provide any insight of searching good hypers on a new dataset?
hongxuyin commented
Checking the corresponding losses can be helpful. R_feature is the most important and it can be very beneficial to start on it, find a valid alpha for it that gives valid feature distribution loss as printed out by code (e.g. in loss range 1-10). Then, gradually add in tv and l2 for improvements.