supervised loss and you can actually control loose loss actually dominates the training the beginning at the end so for instance one reasonable motivation is you can make sure that the supervised lost dominates in the beginning so that the model already learns how to classify images and then you can ramp up to wait for these cells for the semi polarized or unsupervised loss of that it's learning to structure the unlimited on similar fashion so this idea is called pi model and this is the zero code for pi model excise