or all the threes that I see they have this bend here and so on but if I only have very few labels there might only be like a single feature that is even theoretically possible to learn from the labels I'm given and therefore if I have a bigger model in cell in pre-training because the pre-training happens with the same amount of data right if I have a if I have a bigger model that does the self supervised preaching is going to learn more features and then there's a higher chance that that one feature that I'm that these very few labels that I am