is actually kind of really impacting what you see during this fine tuning process so like the kind of picture we have in our head it's sort of maybe so random initialization and pre-trained weights take us to sort of very different parts of the space but sort of somehow when your model is kind of large and these imagenet architectures are indeed in some sense seem to be large for these medical tusks maybe you just don't sort of move as much and then and then whereas when you have sort of smaller models you sort of change a lot