From Figures and, we see that the test set MAE decreases with increasing training data for all models, as expected. Additionally, the slope of the GemNet-T curve is steeper than that of SchNet, reinforcing the fact that GemNet-T employs a significantly better equivariant representation of the system. For all models, the rate of decrease for the MAE slows as one increases the training set size further (i.e., the curve starts leveling off), demonstrating that progressively less novel information content is being provided by additional data.