We experimented with an increasing sampling temperatures (from T = 1.0 to T = 2.0 with a step of 0.25). Each T value was used to generate 10,240 SMILES strings per model across the five chosen targets and all training-test splits. Then, we evaluated the designs based on three metrics (Figure ):