The results demonstrate performance increases in F1 score for the fine-tuning approach over the baseline and even more so for the SetFit methods, especially for PoFo (12.41% increase) and the concatenated dataset (10.37% increase). However, improvement was not observed for the TroFi dataset, which could stem from sentence complexity and label imbalance or from small model sizes.