Task
Feature Extraction
J
jinaai/jina-embeddings-v2-base-en
Feature Extraction·jinaai· 166.5K· 732
The text embedding set trained by Jina AI.
# pull & run locally
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-base-en
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-base-en
Model details
Provider
jinaai
Framework
sentence-transformers
Parameters
137.4M
Size
4.1 GB
License
apache-2.0
Downloads
166.5K
Likes
732
Paper
arXiv:2108.12409
Updated
2025-01-06
About jinaai/jina-embeddings-v2-base-en
--- tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb datasets: - allenai/c4 language: en inference: false license: apache-2.0 model-index: - name: jina-embedding-b-en-v2 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 74.73134328358209 - type: ap value: 37.765427081831035 - type: f1 value: 68.79367444339518 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 88.544275 - type: ap value: 84.61328675662887 - type: f1 value: 88.51879035862375 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 45.263999999999996 - type: f1 value: 43.778759656699435 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 21.693 - type: mapat10 value: 35.487 - type: mapat100