The promising results indicate the potential of fine-tuning LLMs for literary MD in general and using the SetFit method for small datasets in particular. The concatenated dataset's heterogeneity and diversity in sentence length and number, complexity, and metaphor domains provided broader contextual information, explaining its high F1 score. Despite these positive outcomes fine-tuning did not achieve better performance on TroFi.<ref xmlns="http://www.tei-c.org/ns/1.0" n="2" target="ftn2" />