is fit with parameters m and b and the calculated T SE values to predict the converged loss, L. This allows predictions of converged network loss for partially-trained networks evaluated during HPO based on its T SE values. In our experiments, we noted that L is monotonic in T SE, meaning that Equation is not needed to simply choose the best hyperparameters. The T SE values computed after a small number of epochs are sufficient for ranking model configurations and finding the optimal ones. Although leveraging Equation requires training some small number of networks to convergence in order to fit the parameters, it provides the benefit of being able to predict the expected performance of new hyperparameter choices.