readme: ---
  tags:
  - mteb
  model-index:
  - name: e5-base
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: e8379541af4e31359cca9fbcf4b00f2671dba205
      metrics:
      - type: accuracy
        value: 79.71641791044777
      - type: ap
        value: 44.15426065428253
      - type: f1
        value: 73.89474407693241
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: e2d317d38cd51312af73b3d32a06d1a08b442046
      metrics:
      - type: accuracy
        value: 87.9649
      - type: ap
        value: 84.10171551915973
      - type: f1
        value: 87.94148377827356
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: 1399c76144fd37290681b995c656ef9b2e06e26d
      metrics:
      - type: accuracy
        value: 42.645999999999994
      - type: f1
        value: 42.230574673549
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: None
      metrics:
      - type: map_at_1
        value: 26.814
      - type: map_at_10
        value: 42.681999999999995
      - type: map_at_100
        value: 43.714
      - type: map_at_1000
        value: 43.724000000000004
      - type: map_at_3
        value: 38.11
      - type: map_at_5
        value: 40.666999999999994
      - type: mrr_at_1
        value: 27.168999999999997
      - type: mrr_at_10
        value: 42.84
      - type: mrr_at_100
        value: 43.864
      - type: mrr_at_1000
        value: 43.875
      - type: mrr_at_3
        value: 38.193
      - type: mrr_at_5
        value: 40.793
      - type: ndcg_at_1
        value: 26.814
      - type: ndcg_at_10
        value: 51.410999999999994
      - type: ndcg_at_100
        value: 55.713
      - type: ndcg_at_1000
        value: 55.957
      - type: ndcg_at_3
        value: 41.955
      - type: ndcg_at_5
        value: 46.558
      - type: precision_at_1
        value: 26.814
      - type: precision_at_10
        value: 7.922999999999999
      - type: precision_at_100
        value: 0.9780000000000001
      - type: precision_at_1000
        value: 0.1
      - type: precision_at_3
        value: 17.71
      - type: precision_at_5
        value: 12.859000000000002
      - type: recall_at_1
        value: 26.814
      - type: recall_at_10
        value: 79.232
      - type: recall_at_100
        value: 97.795
      - type: recall_at_1000
        value: 99.644
      - type: recall_at_3
        value: 53.129000000000005
      - type: recall_at_5
        value: 64.29599999999999
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-p2p
        name: MTEB ArxivClusteringP2P
        config: default
        split: test
        revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
      metrics:
      - type: v_measure
        value: 44.56933066536439
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
      metrics:
      - type: v_measure
        value: 40.47647746165173
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
      metrics:
      - type: map
        value: 59.65675531567043
      - type: mrr
        value: 72.95255683067317
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
      metrics:
      - type: cos_sim_pearson
        value: 85.83147014162338
      - type: cos_sim_spearman
        value: 85.1031439521441
      - type: euclidean_pearson
        value: 83.53609085510973
      - type: euclidean_spearman
        value: 84.59650590202833
      - type: manhattan_pearson
        value: 83.14611947586386
      - type: manhattan_spearman
        value: 84.13384475757064
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
      metrics:
      - type: accuracy
        value: 83.32792207792208
      - type: f1
        value: 83.32037485050513
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
      metrics:
      - type: v_measure
        value: 36.18605446588703
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-s2s
        name: MTEB BiorxivClusteringS2S
        config: default
        spli