In the notebook, you may notice that, at the expense of increased training time with RandAugment, we are able to carve out far better performance on the CIFAR-10-C dataset. You can experiment on the other corruption and perturbation settings that come with the run the same CIFAR-10-C dataset and see if RandAugment helps.