To test for overcorrection, valid SMILES were used to evaluate the corrector. This showed that the percentage of valid sequences that were altered during translation was low (14 %), indicating that mainly erroneous parts of SMILES were being changed. Interestingly, this percentage is very similar to transformer overcorrection when applied to spelling correction . Based on this it can be concluded that the corrector is able to distinguish between correct and incorrect sequences.