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@@ -165,7 +165,7 @@ metrics:
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  - cosine_mrr@10
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  - cosine_map@100
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  model-index:
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- - name: BGE large Legal Spanish
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  results:
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  - task:
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  type: information-retrieval
@@ -273,7 +273,7 @@ model-index:
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  name: Cosine Map@100
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  ---
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- # BGE large Legal Spanish
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [small-spanish-legal-dataset](https://huggingface.co/datasets/wilfredomartel/small-spanish-legal-dataset) dataset. 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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  - cosine_mrr@10
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  - cosine_map@100
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  model-index:
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+ - name: ModernBERT-base Legal Spanish
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  results:
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  - task:
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  type: information-retrieval
 
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  name: Cosine Map@100
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  ---
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+ # ModernBERT-base Legal Spanish
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [small-spanish-legal-dataset](https://huggingface.co/datasets/wilfredomartel/small-spanish-legal-dataset) dataset. 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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