For non-aqueous solvents like methanol and DMSO, the model performs slightly better, with RMSEs of 1.94 kcal mol -1 and 2.62 kcal mol -1 , respectively. In solvents such as ethanol, acetonitrile, and DMF, the RMSE is even lower -less than 1.5 kcal mol -1 , representing good performance on the unseen solutes. Part of this apparent performance improvement is due to the lower diversity of compound types in such solvents, leading to less challenging compounds in the test sets. We do not know how accurately these models predict other types of anions in these solvents, because we lack relevant data. In general, we recommend caution when using this model for values in solvents trained on only a few datapoints, including NMP and 1,2-ethanediol.