readme: ---
  pipeline_tag: sentence-similarity
  tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  model-index:
  - name: SGPT-125M-weightedmean-nli-bitfit
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 65.88059701492537
      - type: ap
        value: 28.685493163579785
      - type: f1
        value: 59.79951005816335
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (de)
        config: de
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 59.07922912205568
      - type: ap
        value: 73.91887421019034
      - type: f1
        value: 56.6316368658711
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en-ext)
        config: en-ext
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 64.91754122938531
      - type: ap
        value: 16.360681214864226
      - type: f1
        value: 53.126592061523766
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (ja)
        config: ja
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 56.423982869378996
      - type: ap
        value: 12.143003571907899
      - type: f1
        value: 45.76363777987471
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
      metrics:
      - type: accuracy
        value: 74.938225
      - type: ap
        value: 69.58187110320567
      - type: f1
        value: 74.72744058439321
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 35.098
      - type: f1
        value: 34.73265651435726
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (de)
        config: de
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 24.516
      - type: f1
        value: 24.21748200448397
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (es)
        config: es
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 29.097999999999995
      - type: f1
        value: 28.620040162757093
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (fr)
        config: fr
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 27.395999999999997
      - type: f1
        value: 27.146888644986284
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (ja)
        config: ja
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 21.724
      - type: f1
        value: 21.37230564276654
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (zh)
        config: zh
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 23.976
      - type: f1
        value: 23.741137981755482
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
      metrics:
      - type: map_at_1
        value: 13.442000000000002
      - type: map_at_10
        value: 24.275
      - type: map_at_100
        value: 25.588
      - type: map_at_1000
        value: 25.659
      - type: map_at_3
        value: 20.092
      - type: map_at_5
        value: 22.439999999999998
      - type: ndcg_at_1
        value: 13.442000000000002
      - type: ndcg_at_10
        value: 31.04
      - type: ndcg_at_100
        value: 37.529
      - type: ndcg_at_1000
        value: 39.348
      - type: ndcg_at_3
        value: 22.342000000000002
      - type: ndcg_at_5
        value: 26.595999999999997
      - type: precision_at_1
        value: 13.442000000000002
      - type: pr