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thenlper/gte-base

Sentence Similarity·thenlper· 439.1K· 131
sentence-transformers mit Sentence Similarity 109.5M params arxiv:2308.03281license:mit

General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning

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pip install mlforge-sdk && mlforge pull thenlper/gte-base

Model details

Task
Sentence Similarity
Provider
thenlper
Framework
sentence-transformers
Parameters
109.5M
Size
1.6 GB
License
mit
Downloads
439.1K
Likes
131
Paper
arXiv:2308.03281
Updated
2024-11-16

About thenlper/gte-base

--- tags: - mteb - sentence-similarity - sentence-transformers - Sentence Transformers model-index: - name: gte-base results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 74.17910447761193 - type: ap value: 36.827146398068926 - type: f1 value: 68.11292888046363 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 91.77345000000001 - type: ap value: 88.33530426691347 - type: f1 value: 91.76549906404642 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 48.964 - type: f1 value: 48.22995586184998 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 32.147999999999996 - type: mapat10 value: 48.253 - type: mapat100 value: 49.038 - type: mapat1000 value: 49.042 - type: mapat3 val

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