The model has been trained and tested for molecules with sizes (heavy atom count) between 16 and 26. We considered the effect of using the same model for larger sizes and found promising results. When we targeted sizes in the range 36 ± 5 with the same model. Figure shows that there is almost no difference in the SSD between the baseline (no training) and the trained model, implying no loss in diversity. In-fact, the similarity between molecules is reduced, indicating the effectiveness of regularization. However, the synthesizable fraction improves significantly from a 8.3% to over 70%. Figure of the SI shows the synthesizability as a function of heavy-atom count before and after training.