lots of labels then you drop in performance again and you can see right here the drop in performance is proportional to how many labeled examples you haven't that's that's natural right if you have the labels you can actually mix that information in with the distillation loss and that make you better and here they drop point one percent and here they drop less than one percent by leaving away the labeled but their point basically is that it is more important to to distill using also unlabeled data than it is to