I mean what we saw is like at a performance level things are performing about the same and so a really fundamental question is well random initialization and pre train weights don't really look anything like each other so we have one thing sitting in one part of the space another set of parameters sitting in another part of the space what's happening during this fine-tuning process is it just that it doesn't really matter how you initialize and then after you fine-tune you just sort of change dramatically and