Update README.md

README.md

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-Ara-EuroBERT is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) specifically optimized for **Semantic Arabic text embeddings**.
+**Ara-EuroBERT-610M** is a [sentence-transformers](https://www.SBERT.net) model fine-tuned from [EuroBERT/EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) specifically optimized for **Semantic Arabic text embeddings**.
 
-This model maps sentences and paragraphs to a **1152-dimensional dense vector space** 
+This model maps sentences and paragraphs to a **1152-dimensional dense vector space**  and  **Maximum Sequence Length:** 8,192 tokens.
 
 
 It can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
+You can find more information on the base model at https://huggingface.co/EuroBERT/EuroBERT-610m
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 ## Model Details & Benchmark Performance