Fine-tuning is often used in machine learning as a way of augmenting the training data. Hence, we decided to fine-tune models trained on the OMDB with the OCELOT database. This is because the OMDB is larger than the OCELOT database; OMDB has roughly 12,500 entries and OCELOT has roughly 9,500 entries. The parity plots for fine-tuning on the OCELOT database with and without angle featurization are shown in Figure and Figure , respectively. As can be seen, the MAE decreases by 22.