Here, we train a variety of models based on the Transformer architecture to analyze the effects of hyper-parameter tuning on both the original dataset, as well as transferring these to the larger dataset (Figure ). Table shows a full breakdown of beam search accuracies including and excluding valid and unique SMILES.