mixedbread-ai/mxbai-embed-2d-large-v1
The crispy sentence embedding family from Mixedbread.
pip install mlforge-sdk && mlforge pull mixedbread-ai/mxbai-embed-2d-large-v1
Model details
About mixedbread-ai/mxbai-embed-2d-large-v1
--- tags: - mteb - transformers.js - transformers model-index: - name: mxbai-embed-2d-large-v1 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 74.76119402985074 - type: ap value: 37.90611182084586 - type: f1 value: 68.80795400445113 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 93.255525 - type: ap value: 90.06886124154308 - type: f1 value: 93.24785420201029 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 46.162000000000006 - type: f1 value: 45.66989189593428 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 37.980000000000004 - type: mapat10 value: 54.918 - type: mapat100 value: 55.401 - type: mapat1000 value: 55.403000000000006 - type: mapat3 value: 50.2