BGE large Legal Spanish This is a sentence transformers model finetuned from BAAI/bge m3. It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. Model Details Model Description Model Type: Sentence Transformer Base model: BAAI/bge m3 Maximum Sequence Length: 8192 tokens Output Dimensionality: 1024 tokens Similarity Function: Cosine Similarity Language: es License: apache 2.0 Model Sources Documentation: Sentence Transformers Documentation Repository: Sentence Transformers on GitHub Hugging Face: Sentence Transformers on Hugging Face Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library: Then you can load this model and run inference. Click to see the direct usage in Transformers Click to expand Evaluation Metrics Information Retrieval Dataset: dim 1024 Evaluated with InformationRetrievalEvaluator Metric Value : : cosine accuracy@1 0.5518 cosine accuracy@3 0.8049 cosine accuracy@5 0.8445 cosine accuracy@10 0.9024 cosine precision@1 0.5518 cosine precision@3 0.2683 cosine precision…
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