Task
Feature Extraction
J
jinaai/jina-embeddings-v2-small-en
Feature Extraction·jinaai· 1.1M· 141
sentence-transformers
apache-2.0
32.7M params
dataset:jinaai/negation-dataset
The text embedding set trained by Jina AI.
# pull & run locally
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-small-en
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-small-en
Model details
Provider
jinaai
Framework
sentence-transformers
Parameters
32.7M
Size
871 MB
License
apache-2.0
Downloads
1.1M
Likes
141
Paper
arXiv:2108.12409
Updated
2025-01-06
About jinaai/jina-embeddings-v2-small-en
--- tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb datasets: - jinaai/negation-dataset language: en inference: false license: apache-2.0 model-index: - name: jina-embedding-s-en-v2 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.35820895522387 - type: ap value: 33.99931933598115 - type: f1 value: 65.3853685535555 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 82.90140000000001 - type: ap value: 78.01434597815617 - type: f1 value: 82.83357802722676 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 40.88999999999999 - type: f1 value: 39.209432767163456 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 23.257 - type: mapat10 value: 37.94600000000