Update README.md

README.md

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 - loss:MultipleNegativesRankingLoss
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-# akhooli/Arabic-SBERT-100K
+# Arabic-SBERT-100K
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02). 
 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. 
-This model is trained on 100K samples filtered from the `akhooli/arabic-triplets-1m-curated-sims-len` dataset with 75K training and 25K validation. 
+This model is trained on 100K samples filtered from the [akhooli/arabic-triplets-1m-curated-sims-len](https://huggingface.co/datasets/akhooli/arabic-triplets-1m-curated-sims-len) dataset with 75K training and 25K validation. 
 Trained for 5 epochs, with final training loss of 0.133 (using MatryoshkaLoss). 
 
 The rest of this file is auto generated. 
 
+========================================================================
+
 ## Model Details
 
 ### Model Description