SentenceTransformer based on BAAI/bge-m3
This is a sentence-transformers model distilled from BAAI/bge-m3 on the tr-sentences dataset. 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. Refer to the blog post and the 8l variant for more information.
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BAAI/bge-m3Evaluation results
- Pearson Cosine on sts devself-reported0.957
- Spearman Cosine on sts devself-reported0.951
- Negative Mse on Unknownself-reported-0.008
- Pearson Cosine on sts testself-reported0.957
- Spearman Cosine on sts testself-reported0.951