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README.md

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 This model is a SentenceTransformer fine-tuned from [`Shuu12121/CodeModernBERT-Owl🦉`](https://huggingface.co/Shuu12121/CodeModernBERT-Owl) on the [BigCloneBench](https://huggingface.co/datasets/google/code_x_glue_cc_clone_detection_big_clone_bench) dataset for **code clone detection**. It maps code snippets into a 768-dimensional dense vector space for semantic similarity tasks.
 
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+## 🎯 Distinctive Performance and Stability
+
+This model achieves **very high accuracy and F1 scores** in code clone detection.  
+One particularly noteworthy characteristic is that **changing the similarity threshold has minimal impact on classification performance**.  
+This indicates that the model has learned to **clearly separate clones from non-clones**, resulting in a **stable and reliable similarity score distribution**.
+
+| Threshold         | Accuracy          | F1 Score           |
+|-------------------|-------------------|--------------------|
+| 0.5               | 0.9900            | 0.9633             |
+| 0.85              | 0.9903            | 0.9641             |
+| 0.90              | 0.9902            | 0.9637             |
+| 0.95              | 0.9887            | 0.9579             |
+| 0.98              | 0.9879            | 0.9540             |
+
+- **High Stability**: Between thresholds of 0.85 and 0.98, accuracy and F1 scores remain nearly constant.  
+  _(This suggests that code pairs considered clones generally score between 0.9 and 1.0 in cosine similarity.)_
+
+- **Reliable in Real-World Applications**: Even if the similarity threshold is slightly adjusted for different tasks or environments, the model maintains consistent performance without significant degradation.
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+
 
 ## 📌 Model Overview