Update README.md

README.md

@@ -14,9 +14,22 @@ base_model:
 - aubmindlab/bert-base-arabertv02
 ---
 
-# SentenceTransformer based on egyllm/pretrained-arabert
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [egyllm/pretrained-arabert](https://huggingface.co/egyllm/pretrained-arabert). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+### 🚀 Arabic-Retrieval-v1.0
+
+This is a high-performance Arabic information retrieval built using the robust **sentence-transformers** framework, it delivers **state-of-the-art performance** and is tailored to the richness and complexity of the Arabic language.  
+
+---
+
+## 🔑 Key Features  
+- **🔥 Outstanding Performance**: Matches the accuracy of top-tier multilingual models like `e5-multilingual-large`.  
+- **💡 Arabic-Focused**: Designed specifically for the nuances and dialects of Arabic, ensuring more accurate and context-aware results.  
+- **📉 Lightweight Efficiency**: Requires **25%-50% less memory**, making it ideal for environments with limited resources or edge deployments.   
+
+---
+
+## 🌍 Why This Model?  
+Multilingual models are powerful, but they’re often bulky and not optimized for specific languages. This model bridges that gap, offering Arabic-native capabilities without sacrificing performance or efficiency. Whether you’re working on search engines, chatbots, or large-scale NLP pipelines, this model provides a **fast, accurate, and resource-efficient solution**. 
 
 ## Model Details