this loss over here does it basically says these sorts of augmentations these sorts of distortions of images please ignore those because I always want you to output the same label here in the prediction here as if I had not distorted or just weakly distorted the image so that's that's what you have to keep in mind that this this loss is designed to make the model not distinguish between differently augmented versions of the same image and interestingly that really seems to help with the with the supervised loss right