readme: ---
  pipeline_tag: sentence-similarity
  tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  model-index:
  - name: SGPT-5.8B-weightedmean-msmarco-specb-bitfit
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 69.22388059701493
      - type: ap
        value: 32.04724673950256
      - type: f1
        value: 63.25719825770428
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
      metrics:
      - type: accuracy
        value: 71.26109999999998
      - type: ap
        value: 66.16336378255403
      - type: f1
        value: 70.89719145825303
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 39.19199999999999
      - type: f1
        value: 38.580766731113826
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
      metrics:
      - type: map_at_1
        value: 27.311999999999998
      - type: map_at_10
        value: 42.620000000000005
      - type: map_at_100
        value: 43.707
      - type: map_at_1000
        value: 43.714999999999996
      - type: map_at_3
        value: 37.624
      - type: map_at_5
        value: 40.498
      - type: mrr_at_1
        value: 27.667
      - type: mrr_at_10
        value: 42.737
      - type: mrr_at_100
        value: 43.823
      - type: mrr_at_1000
        value: 43.830999999999996
      - type: mrr_at_3
        value: 37.743
      - type: mrr_at_5
        value: 40.616
      - type: ndcg_at_1
        value: 27.311999999999998
      - type: ndcg_at_10
        value: 51.37500000000001
      - type: ndcg_at_100
        value: 55.778000000000006
      - type: ndcg_at_1000
        value: 55.96600000000001
      - type: ndcg_at_3
        value: 41.087
      - type: ndcg_at_5
        value: 46.269
      - type: precision_at_1
        value: 27.311999999999998
      - type: precision_at_10
        value: 7.945
      - type: precision_at_100
        value: 0.9820000000000001
      - type: precision_at_1000
        value: 0.1
      - type: precision_at_3
        value: 17.046
      - type: precision_at_5
        value: 12.745000000000001
      - type: recall_at_1
        value: 27.311999999999998
      - type: recall_at_10
        value: 79.445
      - type: recall_at_100
        value: 98.151
      - type: recall_at_1000
        value: 99.57300000000001
      - type: recall_at_3
        value: 51.13799999999999
      - type: recall_at_5
        value: 63.727000000000004
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-p2p
        name: MTEB ArxivClusteringP2P
        config: default
        split: test
        revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
      metrics:
      - type: v_measure
        value: 45.59037428592033
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
      metrics:
      - type: v_measure
        value: 38.86371701986363
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
      metrics:
      - type: map
        value: 61.625568691427766
      - type: mrr
        value: 75.83256386580486
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: 9ee918f184421b6bd48b78f6c714d86546106103
      metrics:
      - type: cos_sim_pearson
        value: 89.96074355094802
      - type: cos_sim_spearman
        value: 86.2501580394454
      - type: euclidean_pearson
        value: 82.18427440380462
      - type: euclidean_spearman
        value: 80.14760935017947
      - type: manhattan_pearson
        value: 82.24621578156392
      - type: manhattan_spearman
        value: 80.00363016590163
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
      metrics:
      - type: accuracy
        value: 84.49350649350649
      - type: f1
        value: 84.4249343233736
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 11d0121201d1f1f280