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README.md

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 ### Model Summary:
 
 This model is a **Sentence Transformer** based on **Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2**, fine-tuned for **semantic textual similarity** and **information retrieval** tasks. It maps sentences to dense vector representations for tasks like search, clustering, and text classification.
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 - **Training Loss:** MatryoshkaLoss & MultipleNegativesRankingLoss.
 - **Evaluation Metrics:** Cosine similarity-based metrics (Accuracy, Precision, Recall, NDCG).
 
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+## 🏆 Leaderboard Performance
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+The **Muffakir\_Embedding** model has achieved notable rankings on the [Arabic RAG Leaderboard](https://huggingface.co/spaces/Navid-AI/The-Arabic-Rag-Leaderboard), securing:
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+* * **🥇 1th place** in the **Islamic Dataset** 
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+These results underscore the model's effectiveness in both retrieving relevant information and accurately ranking it within Arabic Retrieval-Augmented Generation (RAG) systems.
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 This model is optimized for **legal document retrieval** and other NLP applications in Arabic.