The model was tested on 834,774 data points, and it was observed that it could produce 89.86% of accurate SMILES to IUPAC name translation when checked by a one-to-one string match. This reduction of accuracy was observed due to long complex names that were introduced, and the longer string prediction was also made to create errors.