consistency loss lambda which is a hundred in this case um the authors performed two sets of experiments one was a normal semi-supervised experiment set up where they compared it to the state of art uh semi-supervised learning models and um the other one is um the the method in which they cut out all the additional um transformations or sharpening or um any extra effort that they've put in to get into the efficiency or the accuracy level that the model performs to show that which uh bit in the algorithm performed the best