thenlper/gte-small
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning
pip install mlforge-sdk && mlforge pull thenlper/gte-small
Model details
About thenlper/gte-small
--- tags: - mteb - sentence-similarity - sentence-transformers - Sentence Transformers model-index: - name: gte-small results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.22388059701493 - type: ap value: 36.09895941426988 - type: f1 value: 67.3205651539195 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 91.81894999999999 - type: ap value: 88.5240138417305 - type: f1 value: 91.80367382706962 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 48.032 - type: f1 value: 47.4490665674719 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 30.725 - type: mapat10 value: 46.604 - type: mapat100 value: 47.535 - type: mapat1000 value: 47.538000000000004 - type: mapat3 value: