Update cross_encoder_reranking_train.py

cross_encoder_reranking_train.py

@@ -13,8 +13,7 @@ from sklearn.metrics.pairwise import cosine_similarity
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 # Load embedder once
-embedder = SentenceTransformer("all-MiniLM-L6-v2")
-embedder = embedder.to(device)
+embedder = SentenceTransformer("sentence-transformers/all-mpnet-base-v2").to(device)
 
 def embed_text_list(texts):
     return embedder.encode(texts, convert_to_tensor=False, device=device)