A key point of the problem is to evaluate a route considering individual reactions while handling variations in reaction input order and length. To achieve this, we employed a set-based approach, treating the reactions as an unordered set. This approach enables the model to focus on extracting meaningful insights from reaction properties alone, without relying on the order in which reactions occur. While reaction order may contain additional valuable information, our set-based design provides computational advantages and prioritizes route quality assessment based on reaction characteristics.