readme: ---
  tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  model-index:
  - name: SGPT-1.3B-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: 65.20895522388061
      - type: ap
        value: 29.59212705444778
      - type: f1
        value: 59.97099864321921
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_polarity
        name: MTEB AmazonPolarityClassification
        config: default
        split: test
        revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
      metrics:
      - type: accuracy
        value: 73.20565
      - type: ap
        value: 67.36680643550963
      - type: f1
        value: 72.90420520325125
    - task:
        type: Classification
      dataset:
        type: mteb/amazon_reviews_multi
        name: MTEB AmazonReviewsClassification (en)
        config: en
        split: test
        revision: c379a6705fec24a2493fa68e011692605f44e119
      metrics:
      - type: accuracy
        value: 34.955999999999996
      - type: f1
        value: 34.719324437696955
    - task:
        type: Retrieval
      dataset:
        type: arguana
        name: MTEB ArguAna
        config: default
        split: test
        revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
      metrics:
      - type: map_at_1
        value: 26.101999999999997
      - type: map_at_10
        value: 40.958
      - type: map_at_100
        value: 42.033
      - type: map_at_1000
        value: 42.042
      - type: map_at_3
        value: 36.332
      - type: map_at_5
        value: 38.608
      - type: mrr_at_1
        value: 26.387
      - type: mrr_at_10
        value: 41.051
      - type: mrr_at_100
        value: 42.118
      - type: mrr_at_1000
        value: 42.126999999999995
      - type: mrr_at_3
        value: 36.415
      - type: mrr_at_5
        value: 38.72
      - type: ndcg_at_1
        value: 26.101999999999997
      - type: ndcg_at_10
        value: 49.68
      - type: ndcg_at_100
        value: 54.257999999999996
      - type: ndcg_at_1000
        value: 54.486000000000004
      - type: ndcg_at_3
        value: 39.864
      - type: ndcg_at_5
        value: 43.980000000000004
      - type: precision_at_1
        value: 26.101999999999997
      - type: precision_at_10
        value: 7.781000000000001
      - type: precision_at_100
        value: 0.979
      - type: precision_at_1000
        value: 0.1
      - type: precision_at_3
        value: 16.714000000000002
      - type: precision_at_5
        value: 12.034
      - type: recall_at_1
        value: 26.101999999999997
      - type: recall_at_10
        value: 77.809
      - type: recall_at_100
        value: 97.866
      - type: recall_at_1000
        value: 99.644
      - type: recall_at_3
        value: 50.141999999999996
      - type: recall_at_5
        value: 60.171
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-p2p
        name: MTEB ArxivClusteringP2P
        config: default
        split: test
        revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
      metrics:
      - type: v_measure
        value: 43.384194916953774
    - task:
        type: Clustering
      dataset:
        type: mteb/arxiv-clustering-s2s
        name: MTEB ArxivClusteringS2S
        config: default
        split: test
        revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
      metrics:
      - type: v_measure
        value: 33.70962633433912
    - task:
        type: Reranking
      dataset:
        type: mteb/askubuntudupquestions-reranking
        name: MTEB AskUbuntuDupQuestions
        config: default
        split: test
        revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
      metrics:
      - type: map
        value: 58.133058996870076
      - type: mrr
        value: 72.10922041946972
    - task:
        type: STS
      dataset:
        type: mteb/biosses-sts
        name: MTEB BIOSSES
        config: default
        split: test
        revision: 9ee918f184421b6bd48b78f6c714d86546106103
      metrics:
      - type: cos_sim_pearson
        value: 86.62153841660047
      - type: cos_sim_spearman
        value: 83.01514456843276
      - type: euclidean_pearson
        value: 86.00431518427241
      - type: euclidean_spearman
        value: 83.85552516285783
      - type: manhattan_pearson
        value: 85.83025803351181
      - type: manhattan_spearman
        value: 83.86636878343106
    - task:
        type: Classification
      dataset:
        type: mteb/banking77
        name: MTEB Banking77Classification
        config: default
        split: test
        revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
      metrics:
      - type: accuracy
        value: 82.05844155844156
      - type: f1
        value: 82.0185837884764
    - task:
        type: Clustering
      dataset:
        type: mteb/biorxiv-clustering-p2p
        name: MTEB BiorxivClusteringP2P
        config: default
        split: test
        revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
      metrics:
      - type: v_measure
        value: 35.0591833314183