and sharpen the probability distribution of the on the unlabeled Augmented samples for these sessions but the car if the actual distribution of your training data your related training data is uniform and then you try to sort of force it to take a different shape on your unlabeled a of what we shouldn't that prepared for that why should that work so the the number of samples is uniform across the classes but here this is this is saying the problem was that the the models predictions prediction probabilities across the different