intfloat/e5-base
News (May 2023): please switch to e5-base-v2, which has better performance and same method of usage.
pip install mlforge-sdk && mlforge pull intfloat/e5-base
Model details
About intfloat/e5-base
--- tags: - mteb - Sentence Transformers - sentence-similarity - sentence-transformers model-index: - name: e5-base results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 79.71641791044777 - type: ap value: 44.15426065428253 - type: f1 value: 73.89474407693241 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 87.9649 - type: ap value: 84.10171551915973 - type: f1 value: 87.94148377827356 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 42.645999999999994 - type: f1 value: 42.230574673549 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 26.814 - type: mapat10 value: 42.681999999999995 - type: mapat100 value: 43.714 - type: mapat1000 value: 43.724000000000004 - type: mapat3