mteb model-index region:us
---
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: 33.0
    - 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: 33.0
    - 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: 33.0
    - 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: 33.0
    - 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: 33.0
    - 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: 54.0
    - 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
---