To automatically evaluate metaphor generation models using Sentence BERT (SBERT), sentence embeddings are generated for:

1. The literal input $L$
2. The original gold metaphoric expression $M$
3. The generated output $G$

Using these embeddings, the following metrics are calculated:

• Distance from Gold Metaphor (dis): $\cos(M, G)$
• Relational distance (rel): $\cos(L, M) - \cos(L, G)$
• Exact Match: The percentage of times the model produced the exact gold output.