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TaylorAI/bge-micro-v2

Sentence Similarity·TaylorAI· 773.7K· 64
sentence-transformers mit 17.4M params license:mit

This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.

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pip install mlforge-sdk && mlforge pull TaylorAI/bge-micro-v2

Model details

Task
Sentence Similarity
Provider
TaylorAI
Framework
sentence-transformers
Parameters
17.4M
Size
149 MB
License
mit
Downloads
773.7K
Likes
64
Updated
2024-06-06

About TaylorAI/bge-micro-v2

--- pipelinetag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - mteb model-index: - name: bgemicro results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 67.76119402985074 - type: ap value: 29.637849284211114 - type: f1 value: 61.31181187111905 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 79.7547 - type: ap value: 74.21401629809145 - type: f1 value: 79.65319615433783 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 37.452000000000005 - type: f1 value: 37.0245198854966 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 31.152 - type: mapat10 value: 46.702 - type: mapat100 value: 47.563 - type: mapat1000 value: 47

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