First, we analyzed the differences between the original implementations and the newly trained baselines (Table ). When comparing the original implementations of the randomly initialized model and the Chemformer model, fine-tuning the Zinc model (FT-Zinc), we observed only small differences (Table ). Most notable was the difference of the percentage solved between the original and the retrained baseline of the Chemformer model which decreased from 54.6% to 56.2% and the small decreases in carbon footprints from the original implementations, 196.34g and 123.46g, to the baseline implementations, 168.15 and 110.17g, for the randomly initialized and Chemformer models respectively.