itself is higher the fewer labels you have which is the different graphs and you can see that right here so if you have fewer and fewer labels it becomes more and more important that you have bigger models and that's really counterintuitive right because you would expect that the bigger models they can over fit much more easily to the fewer labels but that doesn't seem the case so this self supervision it really seems to be sort of a counter to this notion of overfitting and if you have larger and larger models that's what they argue in