readme: ---
  tags:
  - mteb
  model-index:
  - name: e5-small
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: e8379541af4e31359cca9fbcf4b00f2671dba205
      metrics:
      - type: accuracy
        value: 76.22388059701493
      - type: ap
        value: 40.27466219523129
      - type: f1
        value: 70.60533006025108
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: e2d317d38cd51312af73b3d32a06d1a08b442046
      metrics:
      - type: accuracy
        value: 87.525775
      - type: ap
        value: 83.51063993897611
      - type: f1
        value: 87.49342736805572
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: 1399c76144fd37290681b995c656ef9b2e06e26d
      metrics:
      - type: accuracy
        value: 42.611999999999995
      - type: f1
        value: 42.05088045932892
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: None
      metrics:
      - type: map_at_1
        value: 23.826
      - type: map_at_10
        value: 38.269
      - type: map_at_100
        value: 39.322
      - type: map_at_1000
        value: 39.344
      - type: map_at_3
        value: 33.428000000000004
      - type: map_at_5
        value: 36.063
      - type: mrr_at_1
        value: 24.253
      - type: mrr_at_10
        value: 38.425
      - type: mrr_at_100
        value: 39.478
      - type: mrr_at_1000
        value: 39.5
      - type: mrr_at_3
        value: 33.606
      - type: mrr_at_5
        value: 36.195
      - type: ndcg_at_1
        value: 23.826
      - type: ndcg_at_10
        value: 46.693
      - type: ndcg_at_100
        value: 51.469
      - type: ndcg_at_1000
        value: 52.002
      - type: ndcg_at_3
        value: 36.603
      - type: ndcg_at_5
        value: 41.365
      - type: precision_at_1
        value: 23.826
      - type: precision_at_10
        value: 7.383000000000001
      - type: precision_at_100
        value: 0.9530000000000001
      - type: precision_at_1000
        value: 0.099
      - type: precision_at_3
        value: 15.268
      - type: precision_at_5
        value: 11.479000000000001
      - type: recall_at_1
        value: 23.826
      - type: recall_at_10
        value: 73.82600000000001
      - type: recall_at_100
        value: 95.306
      - type: recall_at_1000
        value: 99.431
      - type: recall_at_3
        value: 45.804
      - type: recall_at_5
        value: 57.397
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-p2p
        name: MTEB ArxivClusteringP2P
        config: default
        split: test
        revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
      metrics:
      - type: v_measure
        value: 44.13995374767436
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
      metrics:
      - type: v_measure
        value: 37.13950072624313
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
      metrics:
      - type: map
        value: 59.35843292105327
      - type: mrr
        value: 73.72312359846987
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
      metrics:
      - type: cos_sim_pearson
        value: 84.55140418324174
      - type: cos_sim_spearman
        value: 84.21637675860022
      - type: euclidean_pearson
        value: 81.26069614610006
      - type: euclidean_spearman
        value: 83.25069210421785
      - type: manhattan_pearson
        value: 80.17441422581014
      - type: manhattan_spearman
        value: 81.87596198487877
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
      metrics:
      - type: accuracy
        value: 81.87337662337661
      - type: f1
        value: 81.76647866926402
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
      metrics:
      - type: v_measure
        value: 35.80600542614507
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-s2s
        name: MTEB BiorxivClusteringS2S
        config: default
        split: test
        revision: 258694dd0231531bc1fd9de6ceb