Update README.md

README.md

@@ -52,6 +52,25 @@ embeddings = model.encode(texts)
 
 ## Model Comparison
 
+Compared to `NeuML/bioclinical-modernbert-base-embeddings`, our model demonstrates superior understanding of medical concepts and enhanced discrimination of non-medical content.
+
+### Comprehensive Evaluation Results
+
+| Metric | Our Model | NeuML Model | Improvement |
+|--------|-----------|-------------|-------------|
+| **Accuracy@1** | 91.28% | 85.86% | +6.3% |
+| **Accuracy@3** | 98.46% | 95.66% | +2.9% |
+| **Accuracy@5** | 99.24% | 97.14% | +2.2% |
+| **Accuracy@10** | 99.64% | 98.29% | +1.4% |
+| **NDCG@5** | 95.96% | 92.37% | +3.9% |
+| **NDCG@10** | 96.10% | 92.75% | +3.6% |
+| **MRR@10** | 94.89% | 90.90% | +4.4% |
+| **MAP@100** | 94.91% | 90.96% | +4.3% |
+
+*Evaluation performed using `InformationRetrievalEvaluator` from sentence-transformers on the `gamino/wiki_medical_terms` dataset.*
+
+## Model Comparison
+
 Compared to `NeuML/bioclinical-modernbert-base-embeddings`, this model demonstrates superior understanding of medical concepts and enhanced discrimination of non-medical content.
 
 ### Medical Text Similarity