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metadata
pipeline_tag: sentence-similarity
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
model-index:
  - name: cloudy-large-zh
    results:
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/CMedQAv1-reranking
          name: MTEB CMedQAv1
          config: default
          split: test
          revision: None
        metrics:
          - type: map
            value: 86.10362876754219
          - type: mrr
            value: 88.77880952380951
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/CMedQAv2-reranking
          name: MTEB CMedQAv2
          config: default
          split: test
          revision: None
        metrics:
          - type: map
            value: 86.94664825874587
          - type: mrr
            value: 89.47257936507937
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/CmedqaRetrieval
          name: MTEB CmedqaRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 25.296999999999997
          - type: map_at_10
            value: 37.159
          - type: map_at_100
            value: 39.016
          - type: map_at_1000
            value: 39.134
          - type: map_at_3
            value: 33.248
          - type: map_at_5
            value: 35.371
          - type: mrr_at_1
            value: 38.435
          - type: mrr_at_10
            value: 46.235
          - type: mrr_at_100
            value: 47.265
          - type: mrr_at_1000
            value: 47.308
          - type: mrr_at_3
            value: 43.828
          - type: mrr_at_5
            value: 45.21
          - type: ndcg_at_1
            value: 38.435
          - type: ndcg_at_10
            value: 43.578
          - type: ndcg_at_100
            value: 50.995000000000005
          - type: ndcg_at_1000
            value: 53.012
          - type: ndcg_at_3
            value: 38.667
          - type: ndcg_at_5
            value: 40.657
          - type: precision_at_1
            value: 38.435
          - type: precision_at_10
            value: 9.607000000000001
          - type: precision_at_100
            value: 1.557
          - type: precision_at_1000
            value: 0.182
          - type: precision_at_3
            value: 21.714
          - type: precision_at_5
            value: 15.634
          - type: recall_at_1
            value: 25.296999999999997
          - type: recall_at_10
            value: 53.408
          - type: recall_at_100
            value: 84.202
          - type: recall_at_1000
            value: 97.61
          - type: recall_at_3
            value: 38.533
          - type: recall_at_5
            value: 44.927
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/CovidRetrieval
          name: MTEB CovidRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 74.763
          - type: map_at_10
            value: 82.604
          - type: map_at_100
            value: 82.795
          - type: map_at_1000
            value: 82.798
          - type: map_at_3
            value: 81.437
          - type: map_at_5
            value: 82.097
          - type: mrr_at_1
            value: 74.816
          - type: mrr_at_10
            value: 82.601
          - type: mrr_at_100
            value: 82.787
          - type: mrr_at_1000
            value: 82.78999999999999
          - type: mrr_at_3
            value: 81.472
          - type: mrr_at_5
            value: 82.146
          - type: ndcg_at_1
            value: 74.921
          - type: ndcg_at_10
            value: 85.83
          - type: ndcg_at_100
            value: 86.655
          - type: ndcg_at_1000
            value: 86.748
          - type: ndcg_at_3
            value: 83.497
          - type: ndcg_at_5
            value: 84.696
          - type: precision_at_1
            value: 74.921
          - type: precision_at_10
            value: 9.663
          - type: precision_at_100
            value: 1.0030000000000001
          - type: precision_at_1000
            value: 0.101
          - type: precision_at_3
            value: 29.996000000000002
          - type: precision_at_5
            value: 18.609
          - type: recall_at_1
            value: 74.763
          - type: recall_at_10
            value: 95.627
          - type: recall_at_100
            value: 99.262
          - type: recall_at_1000
            value: 100
          - type: recall_at_3
            value: 89.357
          - type: recall_at_5
            value: 92.255
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/DuRetrieval
          name: MTEB DuRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 26.021
          - type: map_at_10
            value: 78.561
          - type: map_at_100
            value: 81.291
          - type: map_at_1000
            value: 81.34400000000001
          - type: map_at_3
            value: 54.55799999999999
          - type: map_at_5
            value: 68.804
          - type: mrr_at_1
            value: 89.8
          - type: mrr_at_10
            value: 92.905
          - type: mrr_at_100
            value: 92.976
          - type: mrr_at_1000
            value: 92.979
          - type: mrr_at_3
            value: 92.608
          - type: mrr_at_5
            value: 92.783
          - type: ndcg_at_1
            value: 89.8
          - type: ndcg_at_10
            value: 86.203
          - type: ndcg_at_100
            value: 88.955
          - type: ndcg_at_1000
            value: 89.442
          - type: ndcg_at_3
            value: 85.163
          - type: ndcg_at_5
            value: 84.057
          - type: precision_at_1
            value: 89.8
          - type: precision_at_10
            value: 41.175
          - type: precision_at_100
            value: 4.744000000000001
          - type: precision_at_1000
            value: 0.486
          - type: precision_at_3
            value: 76.283
          - type: precision_at_5
            value: 64.41
          - type: recall_at_1
            value: 26.021
          - type: recall_at_10
            value: 87.25
          - type: recall_at_100
            value: 96.154
          - type: recall_at_1000
            value: 98.615
          - type: recall_at_3
            value: 56.830999999999996
          - type: recall_at_5
            value: 73.518
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/EcomRetrieval
          name: MTEB EcomRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 52.300000000000004
          - type: map_at_10
            value: 62.149
          - type: map_at_100
            value: 62.719
          - type: map_at_1000
            value: 62.73
          - type: map_at_3
            value: 59.767
          - type: map_at_5
            value: 61.232
          - type: mrr_at_1
            value: 52.300000000000004
          - type: mrr_at_10
            value: 62.149
          - type: mrr_at_100
            value: 62.719
          - type: mrr_at_1000
            value: 62.73
          - type: mrr_at_3
            value: 59.767
          - type: mrr_at_5
            value: 61.232
          - type: ndcg_at_1
            value: 52.300000000000004
          - type: ndcg_at_10
            value: 66.99300000000001
          - type: ndcg_at_100
            value: 69.672
          - type: ndcg_at_1000
            value: 69.95400000000001
          - type: ndcg_at_3
            value: 62.166
          - type: ndcg_at_5
            value: 64.804
          - type: precision_at_1
            value: 52.300000000000004
          - type: precision_at_10
            value: 8.219999999999999
          - type: precision_at_100
            value: 0.9450000000000001
          - type: precision_at_1000
            value: 0.097
          - type: precision_at_3
            value: 23.033
          - type: precision_at_5
            value: 15.1
          - type: recall_at_1
            value: 52.300000000000004
          - type: recall_at_10
            value: 82.19999999999999
          - type: recall_at_100
            value: 94.5
          - type: recall_at_1000
            value: 96.7
          - type: recall_at_3
            value: 69.1
          - type: recall_at_5
            value: 75.5
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/Mmarco-reranking
          name: MTEB MMarcoReranking
          config: default
          split: dev
          revision: None
        metrics:
          - type: map
            value: 24.260352944026806
          - type: mrr
            value: 22.69484126984127
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/MMarcoRetrieval
          name: MTEB MMarcoRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 64.888
          - type: map_at_10
            value: 73.921
          - type: map_at_100
            value: 74.28099999999999
          - type: map_at_1000
            value: 74.295
          - type: map_at_3
            value: 72.04
          - type: map_at_5
            value: 73.207
          - type: mrr_at_1
            value: 67.092
          - type: mrr_at_10
            value: 74.547
          - type: mrr_at_100
            value: 74.862
          - type: mrr_at_1000
            value: 74.875
          - type: mrr_at_3
            value: 72.908
          - type: mrr_at_5
            value: 73.936
          - type: ndcg_at_1
            value: 67.092
          - type: ndcg_at_10
            value: 77.687
          - type: ndcg_at_100
            value: 79.24600000000001
          - type: ndcg_at_1000
            value: 79.60000000000001
          - type: ndcg_at_3
            value: 74.124
          - type: ndcg_at_5
            value: 76.098
          - type: precision_at_1
            value: 67.092
          - type: precision_at_10
            value: 9.424000000000001
          - type: precision_at_100
            value: 1.019
          - type: precision_at_1000
            value: 0.105
          - type: precision_at_3
            value: 27.927000000000003
          - type: precision_at_5
            value: 17.797
          - type: recall_at_1
            value: 64.888
          - type: recall_at_10
            value: 88.672
          - type: recall_at_100
            value: 95.599
          - type: recall_at_1000
            value: 98.337
          - type: recall_at_3
            value: 79.27499999999999
          - type: recall_at_5
            value: 83.96000000000001
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/MedicalRetrieval
          name: MTEB MedicalRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 55.50000000000001
          - type: map_at_10
            value: 61.316
          - type: map_at_100
            value: 61.832
          - type: map_at_1000
            value: 61.867000000000004
          - type: map_at_3
            value: 59.9
          - type: map_at_5
            value: 60.685
          - type: mrr_at_1
            value: 55.7
          - type: mrr_at_10
            value: 61.416000000000004
          - type: mrr_at_100
            value: 61.931999999999995
          - type: mrr_at_1000
            value: 61.967000000000006
          - type: mrr_at_3
            value: 60
          - type: mrr_at_5
            value: 60.785
          - type: ndcg_at_1
            value: 55.50000000000001
          - type: ndcg_at_10
            value: 64.228
          - type: ndcg_at_100
            value: 67.04599999999999
          - type: ndcg_at_1000
            value: 68.176
          - type: ndcg_at_3
            value: 61.314
          - type: ndcg_at_5
            value: 62.743
          - type: precision_at_1
            value: 55.50000000000001
          - type: precision_at_10
            value: 7.340000000000001
          - type: precision_at_100
            value: 0.873
          - type: precision_at_1000
            value: 0.097
          - type: precision_at_3
            value: 21.8
          - type: precision_at_5
            value: 13.780000000000001
          - type: recall_at_1
            value: 55.50000000000001
          - type: recall_at_10
            value: 73.4
          - type: recall_at_100
            value: 87.3
          - type: recall_at_1000
            value: 96.6
          - type: recall_at_3
            value: 65.4
          - type: recall_at_5
            value: 68.89999999999999
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/T2Reranking
          name: MTEB T2Reranking
          config: default
          split: dev
          revision: None
        metrics:
          - type: map
            value: 66.83154421352779
          - type: mrr
            value: 76.27995669041708
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/T2Retrieval
          name: MTEB T2Retrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 28.303
          - type: map_at_10
            value: 76.943
          - type: map_at_100
            value: 80.585
          - type: map_at_1000
            value: 80.657
          - type: map_at_3
            value: 54.818999999999996
          - type: map_at_5
            value: 66.854
          - type: mrr_at_1
            value: 90.742
          - type: mrr_at_10
            value: 93.496
          - type: mrr_at_100
            value: 93.55799999999999
          - type: mrr_at_1000
            value: 93.56
          - type: mrr_at_3
            value: 93.083
          - type: mrr_at_5
            value: 93.349
          - type: ndcg_at_1
            value: 90.742
          - type: ndcg_at_10
            value: 84.94
          - type: ndcg_at_100
            value: 88.616
          - type: ndcg_at_1000
            value: 89.25
          - type: ndcg_at_3
            value: 86.58200000000001
          - type: ndcg_at_5
            value: 85.018
          - type: precision_at_1
            value: 90.742
          - type: precision_at_10
            value: 41.507
          - type: precision_at_100
            value: 4.984999999999999
          - type: precision_at_1000
            value: 0.515
          - type: precision_at_3
            value: 75.101
          - type: precision_at_5
            value: 62.543000000000006
          - type: recall_at_1
            value: 28.303
          - type: recall_at_10
            value: 83.895
          - type: recall_at_100
            value: 95.537
          - type: recall_at_1000
            value: 98.558
          - type: recall_at_3
            value: 56.679
          - type: recall_at_5
            value: 70.535
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/VideoRetrieval
          name: MTEB VideoRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 59.5
          - type: map_at_10
            value: 69.53
          - type: map_at_100
            value: 69.976
          - type: map_at_1000
            value: 69.99300000000001
          - type: map_at_3
            value: 67.85
          - type: map_at_5
            value: 68.83
          - type: mrr_at_1
            value: 59.5
          - type: mrr_at_10
            value: 69.53
          - type: mrr_at_100
            value: 69.976
          - type: mrr_at_1000
            value: 69.99300000000001
          - type: mrr_at_3
            value: 67.85
          - type: mrr_at_5
            value: 68.83
          - type: ndcg_at_1
            value: 59.5
          - type: ndcg_at_10
            value: 73.855
          - type: ndcg_at_100
            value: 75.831
          - type: ndcg_at_1000
            value: 76.227
          - type: ndcg_at_3
            value: 70.418
          - type: ndcg_at_5
            value: 72.18599999999999
          - type: precision_at_1
            value: 59.5
          - type: precision_at_10
            value: 8.72
          - type: precision_at_100
            value: 0.96
          - type: precision_at_1000
            value: 0.099
          - type: precision_at_3
            value: 25.933
          - type: precision_at_5
            value: 16.42
          - type: recall_at_1
            value: 59.5
          - type: recall_at_10
            value: 87.2
          - type: recall_at_100
            value: 96
          - type: recall_at_1000
            value: 99
          - type: recall_at_3
            value: 77.8
          - type: recall_at_5
            value: 82.1
Model Name Dimension Sequence Length Language Need instruction for retrieval?
cloudy-largh-zh 1024 1024 Chinese NO