readme: ---
  tags:
  - mteb
  model-index:
  - name: e5-large
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: e8379541af4e31359cca9fbcf4b00f2671dba205
      metrics:
      - type: accuracy
        value: 77.68656716417911
      - type: ap
        value: 41.336896075573584
      - type: f1
        value: 71.788561468075
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: e2d317d38cd51312af73b3d32a06d1a08b442046
      metrics:
      - type: accuracy
        value: 90.04965
      - type: ap
        value: 86.24637009569418
      - type: f1
        value: 90.03896671762645
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: 1399c76144fd37290681b995c656ef9b2e06e26d
      metrics:
      - type: accuracy
        value: 43.016000000000005
      - type: f1
        value: 42.1942431880186
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: None
      metrics:
      - type: map_at_1
        value: 25.107000000000003
      - type: map_at_10
        value: 40.464
      - type: map_at_100
        value: 41.577999999999996
      - type: map_at_1000
        value: 41.588
      - type: map_at_3
        value: 35.301
      - type: map_at_5
        value: 38.263000000000005
      - type: mrr_at_1
        value: 25.605
      - type: mrr_at_10
        value: 40.64
      - type: mrr_at_100
        value: 41.760000000000005
      - type: mrr_at_1000
        value: 41.77
      - type: mrr_at_3
        value: 35.443000000000005
      - type: mrr_at_5
        value: 38.448
      - type: ndcg_at_1
        value: 25.107000000000003
      - type: ndcg_at_10
        value: 49.352000000000004
      - type: ndcg_at_100
        value: 53.98500000000001
      - type: ndcg_at_1000
        value: 54.208
      - type: ndcg_at_3
        value: 38.671
      - type: ndcg_at_5
        value: 43.991
      - type: precision_at_1
        value: 25.107000000000003
      - type: precision_at_10
        value: 7.795000000000001
      - type: precision_at_100
        value: 0.979
      - type: precision_at_1000
        value: 0.1
      - type: precision_at_3
        value: 16.145
      - type: precision_at_5
        value: 12.262
      - type: recall_at_1
        value: 25.107000000000003
      - type: recall_at_10
        value: 77.952
      - type: recall_at_100
        value: 97.866
      - type: recall_at_1000
        value: 99.57300000000001
      - type: recall_at_3
        value: 48.435
      - type: recall_at_5
        value: 61.309000000000005
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-p2p
        name: MTEB ArxivClusteringP2P
        config: default
        split: test
        revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
      metrics:
      - type: v_measure
        value: 46.19278045044154
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
      metrics:
      - type: v_measure
        value: 41.37976387757665
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
      metrics:
      - type: map
        value: 60.07433334608074
      - type: mrr
        value: 73.44347711383723
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
      metrics:
      - type: cos_sim_pearson
        value: 86.4298072183543
      - type: cos_sim_spearman
        value: 84.73144873582848
      - type: euclidean_pearson
        value: 85.15885058870728
      - type: euclidean_spearman
        value: 85.42062106559356
      - type: manhattan_pearson
        value: 84.89409921792054
      - type: manhattan_spearman
        value: 85.31941394024344
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
      metrics:
      - type: accuracy
        value: 84.14285714285714
      - type: f1
        value: 84.11674412565644
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
      metrics:
      - type: v_measure
        value: 37.600076342340785
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-s2s
        name: MTEB BiorxivClusteri