there and reduce the complexity of it and you know there's two particular things that I'd like to focus on for discussing some of the results from that paper which is if we oblate the number of features transferred we really see that this is a 12 transformer 12 self attention block model we really see that you need all those layers and the random initialization of higher layers was not working well at the time it may be you know as always that you figure out better initialization methods and you can close that gap but you see kind of