CohereLabs/Cohere-embed-english-light-v3.0

--- tags:

• mteb

model-index:

• name: embed-english-light-v3.0

results:

• task:

type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:

• type: accuracy

value: 78.62686567164178

• type: ap

value: 43.50072127690769

• type: f1

value: 73.12414870629323

• task:

type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics:

• type: accuracy

value: 94.795

• type: ap

value: 92.14178233328848

• type: f1

value: 94.79269356571955

• task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

• type: accuracy

value: 51.016000000000005

• type: f1

value: 48.9266470039522

• task:

type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 50.806

• task:

type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics:

• type: v_measure

value: 46.19304218375896

• task:

type: Clustering dataset: type: mteb/arxiv-clustering-s2s name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics:

• type: v_measure

value: 37.57785041962193

• task:

type: Reranking dataset: type: mteb/askubuntudupquestions-reranking name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics:

• type: map

value: 60.11396377106911

• type: mrr

value: 72.9068284746955

• task:

type: STS dataset: type: mteb/biosses-sts name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics:

• type: cos_sim_pearson

value: 82.59354737468067

• type: cos_sim_spearman

value: 81.71933190993215

• type: euclidean_pearson

value: 81.39212345994983

• type: euclidean_spearman

value: 81.71933190993215

• type: manhattan_pearson

value: 81.29257414603093

• type: manhattan_spearman

value: 81.80246633432691

• task:

type: Classification dataset: type: mteb/banking77 name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics:

• type: accuracy

value: 79.69805194805193

• type: f1

value: 79.07431143559548

• task:

type: Clustering dataset: type: mteb/biorxiv-clustering-p2p name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics:

• type: v_measure

value: 38.973417975095934

• task:

type: Clustering dataset: type: mteb/biorxiv-clustering-s2s name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics:

• type: v_measure

value: 34.51608057107556

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 46.615

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 45.383

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGamingRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 57.062999999999995

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGisRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 37.201

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 27.473

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 41.868

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 42.059000000000005

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 38.885416666666664

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackStatsRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 32.134

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackTexRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 28.052

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackUnixRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 38.237

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 37.875

• task:

type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 32.665

• task:

type: Retrieval dataset: type: climate-fever name: MTEB ClimateFEVER config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 28.901

• task:

type: Retrieval dataset: type: dbpedia-entity name: MTEB DBPedia config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 41.028

• task:

type: Classification dataset: type: mteb/emotion name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics:

• type: accuracy

value: 52.745

• type: f1

value: 46.432564522368054

• task:

type: Retrieval dataset: type: fever name: MTEB FEVER config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 87.64

• task:

type: Retrieval dataset: type: fiqa name: MTEB FiQA2018 config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 38.834999999999994

• task:

type: Retrieval dataset: type: hotpotqa name: MTEB HotpotQA config: default split: test revision: None metrics:

• type: ndcg_at_10

value: 66.793

• task:

type: Classification dataset: type: mteb/imdb name: MTEB ImdbClassification…