From Experiment 1, it was evident to use a Transformer model with SMILES as Input and IUPAC names character-by-character as output. With this information, a bigger dataset obtained from PubChem was used to train the same model to understand the performance gain and to see whether there is an impact on the performance by doubling the input and output maximum lengths of the strings.