Task
Feature Extraction
B
BAAI/bge-base-en
Feature Extraction·BAAI· 970.5K· 61
transformers
mit
109.5M params
arxiv:2310.07554arxiv:2309.07597license:mit
Recommend switching to newest BAAI/bge-base-en-v1.5, which has more reasonable similarity distribution and same method of usage.
# pull & run locally
pip install mlforge-sdk && mlforge pull BAAI/bge-base-en
pip install mlforge-sdk && mlforge pull BAAI/bge-base-en
Model details
Provider
BAAI
Framework
transformers
Parameters
109.5M
Size
1.2 GB
License
mit
Downloads
970.5K
Likes
61
Paper
arXiv:2310.07554
Updated
2024-04-17
About BAAI/bge-base-en
--- tags: - mteb model-index: - name: bge-base-en results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 75.73134328358209 - type: ap value: 38.97277232632892 - type: f1 value: 69.81740361139785 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 92.56522500000001 - type: ap value: 88.88821771869553 - type: f1 value: 92.54817512659696 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 46.91 - type: f1 value: 46.28536394320311 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 38.834 - type: mapat10 value: 53.564 - type: mapat100 value: 54.230000000000004 - type: mapat1000 value: 54.235 - type: mapat3 value: 49.49 - type: mapat5 value: 51.784 - type: mrrat1