Update README.md

README.md

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 - spearmanr
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 ## Model Description:
-[**vietnamese-embedding-LongContext**](https://huggingface.co/dangvantuan/vietnamese-embedding-LongContext) is the Embedding Model for Vietnamese language  with context length up to 8096 tokens. This model is a specialized text-embedding trained specifically for the Vietnamese language, which is built upon [gte-multilingual](Alibaba-NLP/gte-multilingual-base) and trained using the Multi-Negative Ranking Loss, Matryoshka2dLoss and SimilarityLoss.
+[**vietnamese-document-embedding**](https://huggingface.co/dangvantuan/vietnamese-document-embedding) is the Document Embedding Model for Vietnamese language  with context length up to 8096 tokens. This model is a specialized long text-embedding trained specifically for the Vietnamese language, which is built upon [gte-multilingual](Alibaba-NLP/gte-multilingual-base) and trained using the Multi-Negative Ranking Loss, Matryoshka2dLoss and SimilarityLoss.
 
 ## Full Model Architecture
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