bge-evaluation / README.md
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metadata
tags:
  - mteb
model-index:
  - name: bge-2048-15G
    results:
      - task:
          type: STS
        dataset:
          type: C-MTEB/AFQMC
          name: MTEB AFQMC
          config: default
          split: validation
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 35.144052273688665
          - type: cos_sim_spearman
            value: 36.03131554905942
          - type: euclidean_pearson
            value: 34.95481744048328
          - type: euclidean_spearman
            value: 36.0313155504039
          - type: manhattan_pearson
            value: 35.01398244390669
          - type: manhattan_spearman
            value: 36.07582645320379
      - task:
          type: STS
        dataset:
          type: C-MTEB/ATEC
          name: MTEB ATEC
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 42.12829268908657
          - type: cos_sim_spearman
            value: 42.59932326711113
          - type: euclidean_pearson
            value: 45.0728007358798
          - type: euclidean_spearman
            value: 42.59932101508718
          - type: manhattan_pearson
            value: 45.0740044376148
          - type: manhattan_spearman
            value: 42.59773917033953
      - task:
          type: Classification
        dataset:
          type: mteb/amazon_reviews_multi
          name: MTEB AmazonReviewsClassification (zh)
          config: zh
          split: test
          revision: 1399c76144fd37290681b995c656ef9b2e06e26d
        metrics:
          - type: accuracy
            value: 39.32600000000001
          - type: f1
            value: 37.552594883461666
      - task:
          type: STS
        dataset:
          type: C-MTEB/BQ
          name: MTEB BQ
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 50.01347417982947
          - type: cos_sim_spearman
            value: 50.93232950078808
          - type: euclidean_pearson
            value: 50.18139878220082
          - type: euclidean_spearman
            value: 50.932329500482474
          - type: manhattan_pearson
            value: 50.239972396501244
          - type: manhattan_spearman
            value: 50.98304741370781
      - task:
          type: Clustering
        dataset:
          type: C-MTEB/CLSClusteringP2P
          name: MTEB CLSClusteringP2P
          config: default
          split: test
          revision: None
        metrics:
          - type: v_measure
            value: 35.30752153686832
      - task:
          type: Clustering
        dataset:
          type: C-MTEB/CLSClusteringS2S
          name: MTEB CLSClusteringS2S
          config: default
          split: test
          revision: None
        metrics:
          - type: v_measure
            value: 37.87520358227087
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/CMedQAv1-reranking
          name: MTEB CMedQAv1
          config: default
          split: test
          revision: None
        metrics:
          - type: map
            value: 76.70424054530682
          - type: mrr
            value: 80.55007936507937
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/CMedQAv2-reranking
          name: MTEB CMedQAv2
          config: default
          split: test
          revision: None
        metrics:
          - type: map
            value: 78.28031561021152
          - type: mrr
            value: 81.80051587301587
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/CmedqaRetrieval
          name: MTEB CmedqaRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 19.296
          - type: map_at_10
            value: 28.706
          - type: map_at_100
            value: 30.462
          - type: map_at_1000
            value: 30.622
          - type: map_at_3
            value: 25.56
          - type: map_at_5
            value: 27.223999999999997
          - type: mrr_at_1
            value: 29.857
          - type: mrr_at_10
            value: 37.214999999999996
          - type: mrr_at_100
            value: 38.26
          - type: mrr_at_1000
            value: 38.330999999999996
          - type: mrr_at_3
            value: 34.959
          - type: mrr_at_5
            value: 36.18
          - type: ndcg_at_1
            value: 29.857
          - type: ndcg_at_10
            value: 34.509
          - type: ndcg_at_100
            value: 41.884
          - type: ndcg_at_1000
            value: 45.023
          - type: ndcg_at_3
            value: 30.288999999999998
          - type: ndcg_at_5
            value: 31.886
          - type: precision_at_1
            value: 29.857
          - type: precision_at_10
            value: 7.779
          - type: precision_at_100
            value: 1.383
          - type: precision_at_1000
            value: 0.178
          - type: precision_at_3
            value: 17.179
          - type: precision_at_5
            value: 12.443
          - type: recall_at_1
            value: 19.296
          - type: recall_at_10
            value: 43.221
          - type: recall_at_100
            value: 74.09700000000001
          - type: recall_at_1000
            value: 95.735
          - type: recall_at_3
            value: 30.436999999999998
          - type: recall_at_5
            value: 35.5
      - task:
          type: PairClassification
        dataset:
          type: C-MTEB/CMNLI
          name: MTEB Cmnli
          config: default
          split: validation
          revision: None
        metrics:
          - type: cos_sim_accuracy
            value: 63.6440168370415
          - type: cos_sim_ap
            value: 68.79549034123916
          - type: cos_sim_f1
            value: 69.1282620766241
          - type: cos_sim_precision
            value: 57.20631030785726
          - type: cos_sim_recall
            value: 87.3275660509703
          - type: dot_accuracy
            value: 63.6440168370415
          - type: dot_ap
            value: 68.79977430584098
          - type: dot_f1
            value: 69.1282620766241
          - type: dot_precision
            value: 57.20631030785726
          - type: dot_recall
            value: 87.3275660509703
          - type: euclidean_accuracy
            value: 63.6440168370415
          - type: euclidean_ap
            value: 68.79548765330846
          - type: euclidean_f1
            value: 69.1282620766241
          - type: euclidean_precision
            value: 57.20631030785726
          - type: euclidean_recall
            value: 87.3275660509703
          - type: manhattan_accuracy
            value: 63.6440168370415
          - type: manhattan_ap
            value: 68.7809534749333
          - type: manhattan_f1
            value: 69.1069621999448
          - type: manhattan_precision
            value: 56.95876288659794
          - type: manhattan_recall
            value: 87.84194528875379
          - type: max_accuracy
            value: 63.6440168370415
          - type: max_ap
            value: 68.79977430584098
          - type: max_f1
            value: 69.1282620766241
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/CovidRetrieval
          name: MTEB CovidRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 60.485
          - type: map_at_10
            value: 71.15599999999999
          - type: map_at_100
            value: 71.504
          - type: map_at_1000
            value: 71.514
          - type: map_at_3
            value: 69.06400000000001
          - type: map_at_5
            value: 70.297
          - type: mrr_at_1
            value: 60.695
          - type: mrr_at_10
            value: 71.218
          - type: mrr_at_100
            value: 71.557
          - type: mrr_at_1000
            value: 71.568
          - type: mrr_at_3
            value: 69.21300000000001
          - type: mrr_at_5
            value: 70.393
          - type: ndcg_at_1
            value: 60.695
          - type: ndcg_at_10
            value: 75.899
          - type: ndcg_at_100
            value: 77.524
          - type: ndcg_at_1000
            value: 77.775
          - type: ndcg_at_3
            value: 71.72500000000001
          - type: ndcg_at_5
            value: 73.90299999999999
          - type: precision_at_1
            value: 60.695
          - type: precision_at_10
            value: 9.136
          - type: precision_at_100
            value: 0.991
          - type: precision_at_1000
            value: 0.101
          - type: precision_at_3
            value: 26.589000000000002
          - type: precision_at_5
            value: 17.028
          - type: recall_at_1
            value: 60.485
          - type: recall_at_10
            value: 90.49000000000001
          - type: recall_at_100
            value: 97.99799999999999
          - type: recall_at_1000
            value: 99.895
          - type: recall_at_3
            value: 79.215
          - type: recall_at_5
            value: 84.48400000000001
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/DuRetrieval
          name: MTEB DuRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 20.649
          - type: map_at_10
            value: 59.345000000000006
          - type: map_at_100
            value: 63.31
          - type: map_at_1000
            value: 63.449
          - type: map_at_3
            value: 41.614000000000004
          - type: map_at_5
            value: 51.425
          - type: mrr_at_1
            value: 73.7
          - type: mrr_at_10
            value: 80.42200000000001
          - type: mrr_at_100
            value: 80.675
          - type: mrr_at_1000
            value: 80.685
          - type: mrr_at_3
            value: 79.292
          - type: mrr_at_5
            value: 79.952
          - type: ndcg_at_1
            value: 73.7
          - type: ndcg_at_10
            value: 69.685
          - type: ndcg_at_100
            value: 76.071
          - type: ndcg_at_1000
            value: 77.561
          - type: ndcg_at_3
            value: 68.43
          - type: ndcg_at_5
            value: 66.78
          - type: precision_at_1
            value: 73.7
          - type: precision_at_10
            value: 33.615
          - type: precision_at_100
            value: 4.466
          - type: precision_at_1000
            value: 0.483
          - type: precision_at_3
            value: 60.93300000000001
          - type: precision_at_5
            value: 50.62
          - type: recall_at_1
            value: 20.649
          - type: recall_at_10
            value: 71.678
          - type: recall_at_100
            value: 91.107
          - type: recall_at_1000
            value: 98.489
          - type: recall_at_3
            value: 44.757000000000005
          - type: recall_at_5
            value: 57.853
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/EcomRetrieval
          name: MTEB EcomRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 33
          - type: map_at_10
            value: 43.988
          - type: map_at_100
            value: 44.798
          - type: map_at_1000
            value: 44.840999999999994
          - type: map_at_3
            value: 41.25
          - type: map_at_5
            value: 42.91
          - type: mrr_at_1
            value: 33
          - type: mrr_at_10
            value: 43.988
          - type: mrr_at_100
            value: 44.798
          - type: mrr_at_1000
            value: 44.840999999999994
          - type: mrr_at_3
            value: 41.25
          - type: mrr_at_5
            value: 42.91
          - type: ndcg_at_1
            value: 33
          - type: ndcg_at_10
            value: 49.544
          - type: ndcg_at_100
            value: 53.605999999999995
          - type: ndcg_at_1000
            value: 54.764
          - type: ndcg_at_3
            value: 43.887
          - type: ndcg_at_5
            value: 46.907
          - type: precision_at_1
            value: 33
          - type: precision_at_10
            value: 6.710000000000001
          - type: precision_at_100
            value: 0.864
          - type: precision_at_1000
            value: 0.096
          - type: precision_at_3
            value: 17.166999999999998
          - type: precision_at_5
            value: 11.78
          - type: recall_at_1
            value: 33
          - type: recall_at_10
            value: 67.10000000000001
          - type: recall_at_100
            value: 86.4
          - type: recall_at_1000
            value: 95.6
          - type: recall_at_3
            value: 51.5
          - type: recall_at_5
            value: 58.9
      - task:
          type: Classification
        dataset:
          type: C-MTEB/IFlyTek-classification
          name: MTEB IFlyTek
          config: default
          split: validation
          revision: 421605374b29664c5fc098418fe20ada9bd55f8a
        metrics:
          - type: accuracy
            value: 47.741439015005774
          - type: f1
            value: 35.474522593244856
      - task:
          type: Classification
        dataset:
          type: C-MTEB/JDReview-classification
          name: MTEB JDReview
          config: default
          split: test
          revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
        metrics:
          - type: accuracy
            value: 84.18386491557224
          - type: ap
            value: 50.331823892307895
          - type: f1
            value: 78.46423899842871
      - task:
          type: STS
        dataset:
          type: C-MTEB/LCQMC
          name: MTEB LCQMC
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 61.27982183684614
          - type: cos_sim_spearman
            value: 66.68643494062978
          - type: euclidean_pearson
            value: 65.18446288753343
          - type: euclidean_spearman
            value: 66.68643272258043
          - type: manhattan_pearson
            value: 65.4169819947427
          - type: manhattan_spearman
            value: 66.92322208196136
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/Mmarco-reranking
          name: MTEB MMarcoReranking
          config: default
          split: dev
          revision: None
        metrics:
          - type: map
            value: 23.220821016871753
          - type: mrr
            value: 21.65793650793651
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/MMarcoRetrieval
          name: MTEB MMarcoRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 48.725
          - type: map_at_10
            value: 59.06
          - type: map_at_100
            value: 59.638999999999996
          - type: map_at_1000
            value: 59.666
          - type: map_at_3
            value: 56.528999999999996
          - type: map_at_5
            value: 58.099999999999994
          - type: mrr_at_1
            value: 50.559
          - type: mrr_at_10
            value: 59.852000000000004
          - type: mrr_at_100
            value: 60.376
          - type: mrr_at_1000
            value: 60.4
          - type: mrr_at_3
            value: 57.555
          - type: mrr_at_5
            value: 58.967000000000006
          - type: ndcg_at_1
            value: 50.559
          - type: ndcg_at_10
            value: 63.931000000000004
          - type: ndcg_at_100
            value: 66.669
          - type: ndcg_at_1000
            value: 67.38199999999999
          - type: ndcg_at_3
            value: 59.03
          - type: ndcg_at_5
            value: 61.719
          - type: precision_at_1
            value: 50.559
          - type: precision_at_10
            value: 8.318
          - type: precision_at_100
            value: 0.97
          - type: precision_at_1000
            value: 0.10300000000000001
          - type: precision_at_3
            value: 22.975
          - type: precision_at_5
            value: 15.189
          - type: recall_at_1
            value: 48.725
          - type: recall_at_10
            value: 78.294
          - type: recall_at_100
            value: 90.947
          - type: recall_at_1000
            value: 96.58
          - type: recall_at_3
            value: 65.25
          - type: recall_at_5
            value: 71.64399999999999
      - task:
          type: Classification
        dataset:
          type: mteb/amazon_massive_intent
          name: MTEB MassiveIntentClassification (zh-CN)
          config: zh-CN
          split: test
          revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
        metrics:
          - type: accuracy
            value: 61.506388702084735
          - type: f1
            value: 58.09296024607959
      - task:
          type: Classification
        dataset:
          type: mteb/amazon_massive_scenario
          name: MTEB MassiveScenarioClassification (zh-CN)
          config: zh-CN
          split: test
          revision: 7d571f92784cd94a019292a1f45445077d0ef634
        metrics:
          - type: accuracy
            value: 68.54068594485541
          - type: f1
            value: 67.10301600316001
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/MedicalRetrieval
          name: MTEB MedicalRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 36.6
          - type: map_at_10
            value: 41.626000000000005
          - type: map_at_100
            value: 42.259
          - type: map_at_1000
            value: 42.325
          - type: map_at_3
            value: 39.95
          - type: map_at_5
            value: 40.925
          - type: mrr_at_1
            value: 36.6
          - type: mrr_at_10
            value: 41.642
          - type: mrr_at_100
            value: 42.276
          - type: mrr_at_1000
            value: 42.342
          - type: mrr_at_3
            value: 39.967000000000006
          - type: mrr_at_5
            value: 40.942
          - type: ndcg_at_1
            value: 36.6
          - type: ndcg_at_10
            value: 44.563
          - type: ndcg_at_100
            value: 48.051
          - type: ndcg_at_1000
            value: 50.126000000000005
          - type: ndcg_at_3
            value: 41.113
          - type: ndcg_at_5
            value: 42.856
          - type: precision_at_1
            value: 36.6
          - type: precision_at_10
            value: 5.4
          - type: precision_at_100
            value: 0.713
          - type: precision_at_1000
            value: 0.08800000000000001
          - type: precision_at_3
            value: 14.832999999999998
          - type: precision_at_5
            value: 9.74
          - type: recall_at_1
            value: 36.6
          - type: recall_at_10
            value: 54
          - type: recall_at_100
            value: 71.3
          - type: recall_at_1000
            value: 88.3
          - type: recall_at_3
            value: 44.5
          - type: recall_at_5
            value: 48.699999999999996
      - task:
          type: Classification
        dataset:
          type: C-MTEB/MultilingualSentiment-classification
          name: MTEB MultilingualSentiment
          config: default
          split: validation
          revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
        metrics:
          - type: accuracy
            value: 71.13666666666667
          - type: f1
            value: 70.70955352114072
      - task:
          type: PairClassification
        dataset:
          type: C-MTEB/OCNLI
          name: MTEB Ocnli
          config: default
          split: validation
          revision: None
        metrics:
          - type: cos_sim_accuracy
            value: 57.552788305360046
          - type: cos_sim_ap
            value: 57.99925908040314
          - type: cos_sim_f1
            value: 68.03603603603602
          - type: cos_sim_precision
            value: 51.64113785557986
          - type: cos_sim_recall
            value: 99.68321013727561
          - type: dot_accuracy
            value: 57.552788305360046
          - type: dot_ap
            value: 57.99925908040314
          - type: dot_f1
            value: 68.03603603603602
          - type: dot_precision
            value: 51.64113785557986
          - type: dot_recall
            value: 99.68321013727561
          - type: euclidean_accuracy
            value: 57.552788305360046
          - type: euclidean_ap
            value: 57.99925908040314
          - type: euclidean_f1
            value: 68.03603603603602
          - type: euclidean_precision
            value: 51.64113785557986
          - type: euclidean_recall
            value: 99.68321013727561
          - type: manhattan_accuracy
            value: 57.82349756361668
          - type: manhattan_ap
            value: 58.06447658366083
          - type: manhattan_f1
            value: 68.0820439006837
          - type: manhattan_precision
            value: 51.637554585152834
          - type: manhattan_recall
            value: 99.89440337909187
          - type: max_accuracy
            value: 57.82349756361668
          - type: max_ap
            value: 58.06447658366083
          - type: max_f1
            value: 68.0820439006837
      - task:
          type: Classification
        dataset:
          type: C-MTEB/OnlineShopping-classification
          name: MTEB OnlineShopping
          config: default
          split: test
          revision: e610f2ebd179a8fda30ae534c3878750a96db120
        metrics:
          - type: accuracy
            value: 89.78999999999999
          - type: ap
            value: 88.18580068282115
          - type: f1
            value: 89.78440880027107
      - task:
          type: STS
        dataset:
          type: C-MTEB/PAWSX
          name: MTEB PAWSX
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 14.275914601577927
          - type: cos_sim_spearman
            value: 15.159517089386151
          - type: euclidean_pearson
            value: 16.947703922600706
          - type: euclidean_spearman
            value: 15.159778229648783
          - type: manhattan_pearson
            value: 16.949723597317618
          - type: manhattan_spearman
            value: 15.168661830776104
      - task:
          type: STS
        dataset:
          type: C-MTEB/QBQTC
          name: MTEB QBQTC
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 30.756080454040273
          - type: cos_sim_spearman
            value: 31.587419186134024
          - type: euclidean_pearson
            value: 30.260574537599428
          - type: euclidean_spearman
            value: 31.587396288861157
          - type: manhattan_pearson
            value: 30.17903086373953
          - type: manhattan_spearman
            value: 31.542451771249734
      - task:
          type: STS
        dataset:
          type: mteb/sts22-crosslingual-sts
          name: MTEB STS22 (zh)
          config: zh
          split: test
          revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
        metrics:
          - type: cos_sim_pearson
            value: 61.62397999344316
          - type: cos_sim_spearman
            value: 65.18755757041059
          - type: euclidean_pearson
            value: 62.0244836285851
          - type: euclidean_spearman
            value: 65.18755757041059
          - type: manhattan_pearson
            value: 61.68364429686755
          - type: manhattan_spearman
            value: 64.78960487603719
      - task:
          type: STS
        dataset:
          type: C-MTEB/STSB
          name: MTEB STSB
          config: default
          split: test
          revision: None
        metrics:
          - type: cos_sim_pearson
            value: 70.70527620167447
          - type: cos_sim_spearman
            value: 70.54535482359282
          - type: euclidean_pearson
            value: 70.19143313983818
          - type: euclidean_spearman
            value: 70.54531318718149
          - type: manhattan_pearson
            value: 70.22947491094558
          - type: manhattan_spearman
            value: 70.53618087989595
      - task:
          type: Reranking
        dataset:
          type: C-MTEB/T2Reranking
          name: MTEB T2Reranking
          config: default
          split: dev
          revision: None
        metrics:
          - type: map
            value: 61.87616616845465
          - type: mrr
            value: 69.01596973702593
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/T2Retrieval
          name: MTEB T2Retrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 13.855
          - type: map_at_10
            value: 39.846
          - type: map_at_100
            value: 44.62
          - type: map_at_1000
            value: 44.884
          - type: map_at_3
            value: 26.775
          - type: map_at_5
            value: 33.164
          - type: mrr_at_1
            value: 52.025
          - type: mrr_at_10
            value: 60.812999999999995
          - type: mrr_at_100
            value: 61.388
          - type: mrr_at_1000
            value: 61.419999999999995
          - type: mrr_at_3
            value: 58.788
          - type: mrr_at_5
            value: 60.050000000000004
          - type: ndcg_at_1
            value: 52.025
          - type: ndcg_at_10
            value: 50.127
          - type: ndcg_at_100
            value: 59.163
          - type: ndcg_at_1000
            value: 62.277
          - type: ndcg_at_3
            value: 48.912
          - type: ndcg_at_5
            value: 48.337
          - type: precision_at_1
            value: 52.025
          - type: precision_at_10
            value: 26.828999999999997
          - type: precision_at_100
            value: 4.266
          - type: precision_at_1000
            value: 0.502
          - type: precision_at_3
            value: 43.53
          - type: precision_at_5
            value: 37.269000000000005
          - type: recall_at_1
            value: 13.855
          - type: recall_at_10
            value: 52.459
          - type: recall_at_100
            value: 79.671
          - type: recall_at_1000
            value: 95.248
          - type: recall_at_3
            value: 30.080000000000002
          - type: recall_at_5
            value: 39.735
      - task:
          type: Classification
        dataset:
          type: C-MTEB/TNews-classification
          name: MTEB TNews
          config: default
          split: validation
          revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
        metrics:
          - type: accuracy
            value: 52.721
          - type: f1
            value: 50.992066915421375
      - task:
          type: Clustering
        dataset:
          type: C-MTEB/ThuNewsClusteringP2P
          name: MTEB ThuNewsClusteringP2P
          config: default
          split: test
          revision: None
        metrics:
          - type: v_measure
            value: 56.17125156769023
      - task:
          type: Clustering
        dataset:
          type: C-MTEB/ThuNewsClusteringS2S
          name: MTEB ThuNewsClusteringS2S
          config: default
          split: test
          revision: None
        metrics:
          - type: v_measure
            value: 57.552647981278426
      - task:
          type: Retrieval
        dataset:
          type: C-MTEB/VideoRetrieval
          name: MTEB VideoRetrieval
          config: default
          split: dev
          revision: None
        metrics:
          - type: map_at_1
            value: 31.900000000000002
          - type: map_at_10
            value: 39.366
          - type: map_at_100
            value: 40.186
          - type: map_at_1000
            value: 40.239000000000004
          - type: map_at_3
            value: 36.933
          - type: map_at_5
            value: 38.378
          - type: mrr_at_1
            value: 31.900000000000002
          - type: mrr_at_10
            value: 39.366
          - type: mrr_at_100
            value: 40.186
          - type: mrr_at_1000
            value: 40.239000000000004
          - type: mrr_at_3
            value: 36.933
          - type: mrr_at_5
            value: 38.378
          - type: ndcg_at_1
            value: 31.900000000000002
          - type: ndcg_at_10
            value: 43.541999999999994
          - type: ndcg_at_100
            value: 47.697
          - type: ndcg_at_1000
            value: 49.306
          - type: ndcg_at_3
            value: 38.568999999999996
          - type: ndcg_at_5
            value: 41.168
          - type: precision_at_1
            value: 31.900000000000002
          - type: precision_at_10
            value: 5.6899999999999995
          - type: precision_at_100
            value: 0.767
          - type: precision_at_1000
            value: 0.09
          - type: precision_at_3
            value: 14.433000000000002
          - type: precision_at_5
            value: 9.92
          - type: recall_at_1
            value: 31.900000000000002
          - type: recall_at_10
            value: 56.89999999999999
          - type: recall_at_100
            value: 76.7
          - type: recall_at_1000
            value: 89.8
          - type: recall_at_3
            value: 43.3
          - type: recall_at_5
            value: 49.6
      - task:
          type: Classification
        dataset:
          type: C-MTEB/waimai-classification
          name: MTEB Waimai
          config: default
          split: test
          revision: 339287def212450dcaa9df8c22bf93e9980c7023
        metrics:
          - type: accuracy
            value: 85.52
          - type: ap
            value: 67.91529494717969
          - type: f1
            value: 83.83738833971195