In addition to the four different base Chemformer models, we also trained Support Vector Regression (SVR) models as comparison baselines. 2048-bit Morgan fingerprints with radius 2 were calculated for each molecule, and an SVR with a Tanimoto kernel was then applied. The SVR models were tuned, trained and evaluated on each subtask separately.