Update README.md

README.md

@@ -14,7 +14,7 @@ tags:
 - rerank
 ---
 
-# MedSwin/MedSwin-Reranker-bge-gemma — Fine-tuned Biomedical & EMR Context Ranking
+# Fine-tuned Biomedical & EMR Context Ranking
 
 - **Developed by:** Medical Swinburne University of Technology AI Team
 - **Funded by:** [Swinburne University of Technology](https://www.swinburne.edu.au)
@@ -45,8 +45,7 @@ A reranker improves precision by explicitly scoring each candidate passage again
 
 ---
 
-## Training Data (Offline, Local)
-We fine-tune using **open HF datasets** stored locally on HPC:
+## Training Data
 
 ### 1) BioASQ (Generated Queries)
 - Used as: (query, document) positives; negatives sampled from rolling buffer.