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  # BGE base Financial Matryoshka
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- This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). 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.
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  ## Model Details
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  ### Training Dataset
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- #### Unnamed Dataset
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  * Size: 6,300 training samples
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  * Columns: <code>positive</code> and <code>anchor</code>
 
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  # BGE base Financial Matryoshka
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+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). 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. Dataset - philschmid/finanical-rag-embedding-dataset
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  ## Model Details
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  ### Training Dataset
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+ philschmid/finanical-rag-embedding-dataset
 
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  * Size: 6,300 training samples
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  * Columns: <code>positive</code> and <code>anchor</code>