your task looks very different to imagenet you know this is something you should be be aware of and thinking about and so do better image net models transfer better well it's complicated there's this nuance relationship that depends on sort of how you regularize during the training process the data set the specifics of the data set and size etc and so you sort of actually see a lot of variability based off of all of these conditions and sometimes you actually get pretty similar performance as usual optimal weight optimal where um oh here