readme: ---
  tags:
  - mteb
  model-index:
  - name: pcl-bert-large-uncased
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: e8379541af4e31359cca9fbcf4b00f2671dba205
      metrics:
      - type: accuracy
        value: 70.64179104477613
      - type: ap
        value: 33.66806623360378
      - type: f1
        value: 64.84691750209916
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: e2d317d38cd51312af73b3d32a06d1a08b442046
      metrics:
      - type: accuracy
        value: 78.214
      - type: ap
        value: 73.12982531594396
      - type: f1
        value: 78.07065597361576
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: 1399c76144fd37290681b995c656ef9b2e06e26d
      metrics:
      - type: accuracy
        value: 35.608000000000004
      - type: f1
        value: 35.43831343332933
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: None
      metrics:
      - type: map_at_1
        value: 16.003
      - type: map_at_10
        value: 28.462
      - type: map_at_100
        value: 29.793999999999997
      - type: map_at_1000
        value: 29.835
      - type: map_at_3
        value: 24.016000000000002
      - type: map_at_5
        value: 26.36
      - type: mrr_at_1
        value: 16.43
      - type: mrr_at_10
        value: 28.627999999999997
      - type: mrr_at_100
        value: 29.953000000000003
      - type: mrr_at_1000
        value: 29.994
      - type: mrr_at_3
        value: 24.241
      - type: mrr_at_5
        value: 26.521
      - type: ndcg_at_1
        value: 16.003
      - type: ndcg_at_10
        value: 35.989
      - type: ndcg_at_100
        value: 42.32
      - type: ndcg_at_1000
        value: 43.433
      - type: ndcg_at_3
        value: 26.735999999999997
      - type: ndcg_at_5
        value: 30.941000000000003
      - type: precision_at_1
        value: 16.003
      - type: precision_at_10
        value: 6.031000000000001
      - type: precision_at_100
        value: 0.8959999999999999
      - type: precision_at_1000
        value: 0.098
      - type: precision_at_3
        value: 11.546
      - type: precision_at_5
        value: 8.962
      - type: recall_at_1
        value: 16.003
      - type: recall_at_10
        value: 60.313
      - type: recall_at_100
        value: 89.616
      - type: recall_at_1000
        value: 98.43499999999999
      - type: recall_at_3
        value: 34.637
      - type: recall_at_5
        value: 44.808
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
      metrics:
      - type: v_measure
        value: 27.054434997464384
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
      metrics:
      - type: map
        value: 52.25141570639773
      - type: mrr
        value: 66.30842457019743
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
      metrics:
      - type: cos_sim_pearson
        value: 76.08012321586723
      - type: cos_sim_spearman
        value: 75.27641401933995
      - type: euclidean_pearson
        value: 75.12119068697282
      - type: euclidean_spearman
        value: 74.84688615996714
      - type: manhattan_pearson
        value: 74.8992818204574
      - type: manhattan_spearman
        value: 74.99447988443605
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
      metrics:
      - type: accuracy
        value: 76.28246753246754
      - type: f1
        value: 76.15819069279507
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
      metrics:
      - type: v_measure
        value: 30.60713320357271
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-s2s
        name: MTEB BiorxivClusteringS2S
        config: default
        split: test
        revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
      metrics:
      - type: v_measure
        value: 23.177509689009415
    - task:
        type: Retrieval
      dataset:
        type: BeIR/cqadupstack
        name: MTEB CQADupstackAndroidRetrieval
        config: default
      