# Performance metrics for sentence embedding models

**URL:** <https://discuss.huggingface.co/t/performance-metrics-for-sentence-embedding-models/11567>\
**Category:** Beginners\
**Created:** [November 10, 2021, 3:37pm UTC](https://discuss.huggingface.co/t/performance-metrics-for-sentence-embedding-models/11567 "2021-11-10T15:37:55Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![davidmakovoz](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/davidmakovoz/32/17319_2.png) [@davidmakovoz](https://discuss.huggingface.co/u/davidmakovoz)\
**Post date:** [November 10, 2021, 3:37pm UTC](https://discuss.huggingface.co/t/performance-metrics-for-sentence-embedding-models/11567/1 "2021-11-10T15:37:55Z")

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Sentence transformers, e.g. [all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2), have model cards that link to the page reporting their [performance](https://www.sbert.net/_static/html/models_en_sentence_embeddings.html). Unfortunately, I couldn’t find any details on the two sets of performances: Performance Sentence Embeddings (14 Datasets) Performance Semantic Search (6 Datasets). I understand, it’s reported on a different website, not huggingface, still any help is appreciated.

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**Author:** ![luffycodes](https://avatars.discourse-cdn.com/v4/letter/l/ccd318/32.png) [@luffycodes](https://discuss.huggingface.co/u/luffycodes)\
**Post date:** [April 25, 2022, 12:43am UTC](https://discuss.huggingface.co/t/performance-metrics-for-sentence-embedding-models/11567/2 "2022-04-25T00:43:18Z")

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hello @davidmakovoz , were you able to find it?

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**Author:** ![davidmakovoz](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/davidmakovoz/32/17319_2.png) [@davidmakovoz](https://discuss.huggingface.co/u/davidmakovoz)\
**Post date:** [April 25, 2022, 1:27am UTC](https://discuss.huggingface.co/t/performance-metrics-for-sentence-embedding-models/11567/3 "2022-04-25T01:27:29Z")

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No, at some point I just moved on.
