wilfredomartel
/

ModernBERT-base-es-legal-v2

Sentence Similarity

sentence-transformers

feature-extraction

Generated from Trainer

dataset_size:7872

loss:MatryoshkaLoss

loss:MultipleNegativesRankingLoss

text-embeddings-inference

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wilfredomartel commited on Aug 18

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@@ -165,7 +165,7 @@ metrics:
 - cosine_mrr@10
 - cosine_map@100
 model-index:
-- name: BGE large Legal Spanish
   results:
   - task:
       type: information-retrieval
@@ -273,7 +273,7 @@ model-index:
       name: Cosine Map@100
 ---
-# BGE large Legal Spanish
 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.

 - cosine_mrr@10
 - cosine_map@100
 model-index:
+- name: ModernBERT-base Legal Spanish
   results:
   - task:
       type: information-retrieval
       name: Cosine Map@100
 ---
+# ModernBERT-base Legal Spanish
 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.