In Sage, two main changes in the choice of valence parameter training data were 1) balancing the contributions of conformers from each molecule, and 2) removing vibrational frequencies as training targets. We pruned the number of conformers in optimized geometry targets in order to balance contributions to the objective function. This balancing was necessary as some training set molecules have >50 conformers while others have <10, introducing a large bias towards molecules with many minima. We also removed vibrational frequencies as training targets, as we found that misalignment of vibrational modes degraded performance and in some cases led to pathologies in the parameters, such as the problems with sulfonamide in Parsley 1.3.0 described above.