The metric used for the benchmark is derived from previous research . There, it was hypothesized that the best models are those in which the validation, training and sampled set NLL distributions are uniform and equivalent. The Jensen-Shannon Divergence (JSD) measures the divergence between a set of probability distributions and is calculated as: