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intfloat/e5-small

Sentence Similarity·intfloat· 164.7K· 45
sentence-transformers mit Sentence Similarity 33.4M params arxiv:2212.03533arxiv:2104.08663arxiv:2210.07316

News (May 2023): please switch to e5-small-v2, which has better performance and same method of usage.

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# pull & run locally
pip install mlforge-sdk && mlforge pull intfloat/e5-small

Model details

Task
Sentence Similarity
Provider
intfloat
Framework
sentence-transformers
Parameters
33.4M
Size
382 MB
License
mit
Downloads
164.7K
Likes
45
Paper
arXiv:2212.03533
Updated
2023-08-07

About intfloat/e5-small

--- tags: - mteb - Sentence Transformers - sentence-similarity - sentence-transformers model-index: - name: e5-small results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 76.22388059701493 - type: ap value: 40.27466219523129 - type: f1 value: 70.60533006025108 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 87.525775 - type: ap value: 83.51063993897611 - type: f1 value: 87.49342736805572 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 42.611999999999995 - type: f1 value: 42.05088045932892 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 23.826 - type: mapat10 value: 38.269 - type: mapat100 value: 39.322 - type: mapat1000 value: 39.344 - type: mapat3 value: 33.428

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