readme: ---
  pipeline_tag: sentence-similarity
  tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  model-index:
  - name: sgpt-bloom-7b1-msmarco
    results:
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en)
        config: en
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 68.05970149253731
      - type: ap
        value: 31.640363460776193
      - type: f1
        value: 62.50025574145796
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (de)
        config: de
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 61.34903640256959
      - type: ap
        value: 75.18797161500426
      - type: f1
        value: 59.04772570730417
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (en-ext)
        config: en-ext
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 67.78110944527737
      - type: ap
        value: 19.218916023322706
      - type: f1
        value: 56.24477391445512
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_counterfactual
        name: MTEB AmazonCounterfactualClassification (ja)
        config: ja
        split: test
        revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
      metrics:
      - type: accuracy
        value: 58.23340471092078
      - type: ap
        value: 13.20222967424681
      - type: f1
        value: 47.511718095460296
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
      metrics:
      - type: accuracy
        value: 68.97232499999998
      - type: ap
        value: 63.53632885535693
      - type: f1
        value: 68.62038513152868
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 33.855999999999995
      - type: f1
        value: 33.43468222830134
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (de)
        config: de
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 29.697999999999997
      - type: f1
        value: 29.39935388885501
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (es)
        config: es
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 35.974000000000004
      - type: f1
        value: 35.25910820714383
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (fr)
        config: fr
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 35.922
      - type: f1
        value: 35.38637028933444
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (ja)
        config: ja
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 27.636
      - type: f1
        value: 27.178349955978266
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (zh)
        config: zh
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 32.632
      - type: f1
        value: 32.08014766494587
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
      metrics:
      - type: map_at_1
        value: 23.684
      - type: map_at_10
        value: 38.507999999999996
      - type: map_at_100
        value: 39.677
      - type: map_at_1000
        value: 39.690999999999995
      - type: map_at_3
        value: 33.369
      - type: map_at_5
        value: 36.15
      - type: mrr_at_1
        value: 24.04
      - type: mrr_at_10
        value: 38.664
      - type: mrr_at_100
        value: 39.833
      - type: mrr_at_1000
        value: 39.847
      - type: mrr_at_3
        value: 33.476
      - type: mrr_at_5
        value: 36.306
      - type: ndcg_at_1
        value: 23.684
      - type: ndcg_at_10
        value: 47.282000000000004
      - type: n