Task
Feature Extraction
B
BAAI/bge-small-en-v1.5
Feature Extraction·BAAI· 61.8M· 497
sentence-transformers
mit
33.4M params
arxiv:2401.03462arxiv:2312.15503
feature extraction · sentence-transformers model
# pull & run locally
pip install mlforge-sdk && mlforge pull BAAI/bge-small-en-v1.5
pip install mlforge-sdk && mlforge pull BAAI/bge-small-en-v1.5
Model details
Provider
BAAI
Framework
sentence-transformers
Parameters
33.4M
License
mit
Downloads
61.8M
Likes
497
Paper
arXiv:2401.03462
Updated
2024-02-22
About BAAI/bge-small-en-v1.5
--- tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - mteb model-index: - name: bge-small-en-v1.5 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.79104477611939 - type: ap value: 37.21923821573361 - type: f1 value: 68.0914945617093 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 92.75377499999999 - type: ap value: 89.46766124546022 - type: f1 value: 92.73884001331487 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 46.986 - type: f1 value: 46.55936786727896 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 35.846000000000004 - type: mapat10 value: 51.388 - type: mapat100 value: 52.132999999999996 - type: mapat1000 value: 52.14