For the purpose of this example, we trained the models for only a single epoch. On the CIFAR-10-C dataset, the model with RandAugment can perform better with a higher accuracy (for example, 76.64% in one experiment) compared with the model trained with simple_aug (e.g., 64.80%). RandAugment can also help stabilize the training. You can explore this notebook to check some of the results.