In all three of our tests, we observed that the transfer of information from small molecule data to polymer data reaches saturation with relatively few small molecule data points. This is evident in the alkane dataset, where expanding from 7k molecules with a maximum of 15 heavy atoms to 45k molecules with up to 17 heavy atoms resulted in no significant improvement. Similarly, in the active learning dataset, performance plateaued after just two iterations, or approximately 20k sampled data points. These findings suggest that small molecule kinetics share sufficient similarities with polymers to train effective stability scores with relatively little data. Additionally, our results