Update README.md

Chinese MTEB results added

README.md

@@ -1,3 +1,1061 @@
 ---
+tags:
+- mteb
+model-index:
+- name: paraphrase-multilingual-mpnet-base-v2
+  results:
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 15.582251984126666
+    - type: cos_sim_spearman
+      value: 15.69467748963597
+    - type: euclidean_pearson
+      value: 16.2494479187005
+    - type: euclidean_spearman
+      value: 15.69467748963597
+    - type: manhattan_pearson
+      value: 16.10975022496916
+    - type: manhattan_spearman
+      value: 15.599765124154125
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 19.07752310222746
+    - type: cos_sim_spearman
+      value: 20.26726582178988
+    - type: euclidean_pearson
+      value: 21.46028997787012
+    - type: euclidean_spearman
+      value: 20.26726694759729
+    - type: manhattan_pearson
+      value: 21.21116198565279
+    - type: manhattan_spearman
+      value: 20.036477476049843
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 38.248000000000005
+    - type: f1
+      value: 36.51864988321388
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 36.035921295879945
+    - type: cos_sim_spearman
+      value: 36.32879592292982
+    - type: euclidean_pearson
+      value: 37.01984887739531
+    - type: euclidean_spearman
+      value: 36.32879592292982
+    - type: manhattan_pearson
+      value: 36.82576491213651
+    - type: manhattan_spearman
+      value: 36.144748202867035
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 39.23871809483964
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 35.364138763920494
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 50.19424558532272
+    - type: mrr
+      value: 55.510515873015876
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 50.38634397668087
+    - type: mrr
+      value: 56.72884920634921
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.642
+    - type: map_at_10
+      value: 7.561
+    - type: map_at_100
+      value: 8.423
+    - type: map_at_1000
+      value: 8.6
+    - type: map_at_3
+      value: 6.433999999999999
+    - type: map_at_5
+      value: 7.065
+    - type: mrr_at_1
+      value: 8.126999999999999
+    - type: mrr_at_10
+      value: 11.693000000000001
+    - type: mrr_at_100
+      value: 12.485
+    - type: mrr_at_1000
+      value: 12.61
+    - type: mrr_at_3
+      value: 10.344000000000001
+    - type: mrr_at_5
+      value: 11.089
+    - type: ndcg_at_1
+      value: 8.126999999999999
+    - type: ndcg_at_10
+      value: 10.147
+    - type: ndcg_at_100
+      value: 14.631
+    - type: ndcg_at_1000
+      value: 19.372
+    - type: ndcg_at_3
+      value: 8.285
+    - type: ndcg_at_5
+      value: 9.074
+    - type: precision_at_1
+      value: 8.126999999999999
+    - type: precision_at_10
+      value: 2.558
+    - type: precision_at_100
+      value: 0.629
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 5.035
+    - type: precision_at_5
+      value: 3.866
+    - type: recall_at_1
+      value: 4.642
+    - type: recall_at_10
+      value: 13.91
+    - type: recall_at_100
+      value: 33.17
+    - type: recall_at_1000
+      value: 66.916
+    - type: recall_at_3
+      value: 8.279
+    - type: recall_at_5
+      value: 10.716000000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 78.90559230306675
+    - type: cos_sim_ap
+      value: 86.6988666945878
+    - type: cos_sim_f1
+      value: 80.14296226216756
+    - type: cos_sim_precision
+      value: 72.80366692131398
+    - type: cos_sim_recall
+      value: 89.12789338321254
+    - type: dot_accuracy
+      value: 78.90559230306675
+    - type: dot_ap
+      value: 86.69489796769942
+    - type: dot_f1
+      value: 80.14296226216756
+    - type: dot_precision
+      value: 72.80366692131398
+    - type: dot_recall
+      value: 89.12789338321254
+    - type: euclidean_accuracy
+      value: 78.90559230306675
+    - type: euclidean_ap
+      value: 86.69887318853196
+    - type: euclidean_f1
+      value: 80.14296226216756
+    - type: euclidean_precision
+      value: 72.80366692131398
+    - type: euclidean_recall
+      value: 89.12789338321254
+    - type: manhattan_accuracy
+      value: 79.01383042693926
+    - type: manhattan_ap
+      value: 86.68915849492038
+    - type: manhattan_f1
+      value: 80.34006376195538
+    - type: manhattan_precision
+      value: 73.64114552893045
+    - type: manhattan_recall
+      value: 88.379705400982
+    - type: max_accuracy
+      value: 79.01383042693926
+    - type: max_ap
+      value: 86.69887318853196
+    - type: max_f1
+      value: 80.34006376195538
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.967
+    - type: map_at_10
+      value: 25.325999999999997
+    - type: map_at_100
+      value: 26.313
+    - type: map_at_1000
+      value: 26.41
+    - type: map_at_3
+      value: 23.358
+    - type: map_at_5
+      value: 24.391
+    - type: mrr_at_1
+      value: 18.862000000000002
+    - type: mrr_at_10
+      value: 25.261
+    - type: mrr_at_100
+      value: 26.243
+    - type: mrr_at_1000
+      value: 26.337
+    - type: mrr_at_3
+      value: 23.288
+    - type: mrr_at_5
+      value: 24.32
+    - type: ndcg_at_1
+      value: 18.967
+    - type: ndcg_at_10
+      value: 28.852
+    - type: ndcg_at_100
+      value: 34.061
+    - type: ndcg_at_1000
+      value: 36.886
+    - type: ndcg_at_3
+      value: 24.75
+    - type: ndcg_at_5
+      value: 26.613999999999997
+    - type: precision_at_1
+      value: 18.967
+    - type: precision_at_10
+      value: 4.025
+    - type: precision_at_100
+      value: 0.66
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_3
+      value: 9.589
+    - type: precision_at_5
+      value: 6.660000000000001
+    - type: recall_at_1
+      value: 18.967
+    - type: recall_at_10
+      value: 40.148
+    - type: recall_at_100
+      value: 65.358
+    - type: recall_at_1000
+      value: 88.145
+    - type: recall_at_3
+      value: 28.767
+    - type: recall_at_5
+      value: 33.298
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.415999999999999
+    - type: map_at_10
+      value: 24.324
+    - type: map_at_100
+      value: 27.298000000000002
+    - type: map_at_1000
+      value: 27.592
+    - type: map_at_3
+      value: 17.343
+    - type: map_at_5
+      value: 20.849
+    - type: mrr_at_1
+      value: 37.25
+    - type: mrr_at_10
+      value: 46.056999999999995
+    - type: mrr_at_100
+      value: 46.784
+    - type: mrr_at_1000
+      value: 46.827999999999996
+    - type: mrr_at_3
+      value: 43.867
+    - type: mrr_at_5
+      value: 45.094
+    - type: ndcg_at_1
+      value: 37.25
+    - type: ndcg_at_10
+      value: 33.413
+    - type: ndcg_at_100
+      value: 41.315000000000005
+    - type: ndcg_at_1000
+      value: 45.501000000000005
+    - type: ndcg_at_3
+      value: 32.79
+    - type: ndcg_at_5
+      value: 31.421
+    - type: precision_at_1
+      value: 37.25
+    - type: precision_at_10
+      value: 16.77
+    - type: precision_at_100
+      value: 2.954
+    - type: precision_at_1000
+      value: 0.4
+    - type: precision_at_3
+      value: 29.282999999999998
+    - type: precision_at_5
+      value: 24.15
+    - type: recall_at_1
+      value: 9.415999999999999
+    - type: recall_at_10
+      value: 34.885
+    - type: recall_at_100
+      value: 59.136
+    - type: recall_at_1000
+      value: 80.28699999999999
+    - type: recall_at_3
+      value: 20.063
+    - type: recall_at_5
+      value: 26.088
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.3
+    - type: map_at_10
+      value: 7.628
+    - type: map_at_100
+      value: 8.248999999999999
+    - type: map_at_1000
+      value: 8.355
+    - type: map_at_3
+      value: 6.35
+    - type: map_at_5
+      value: 7.03
+    - type: mrr_at_1
+      value: 4.3
+    - type: mrr_at_10
+      value: 7.628
+    - type: mrr_at_100
+      value: 8.248999999999999
+    - type: mrr_at_1000
+      value: 8.355
+    - type: mrr_at_3
+      value: 6.35
+    - type: mrr_at_5
+      value: 7.03
+    - type: ndcg_at_1
+      value: 4.3
+    - type: ndcg_at_10
+      value: 9.69
+    - type: ndcg_at_100
+      value: 13.543
+    - type: ndcg_at_1000
+      value: 16.862
+    - type: ndcg_at_3
+      value: 7.005999999999999
+    - type: ndcg_at_5
+      value: 8.237
+    - type: precision_at_1
+      value: 4.3
+    - type: precision_at_10
+      value: 1.6400000000000001
+    - type: precision_at_100
+      value: 0.363
+    - type: precision_at_1000
+      value: 0.064
+    - type: precision_at_3
+      value: 2.9669999999999996
+    - type: precision_at_5
+      value: 2.3800000000000003
+    - type: recall_at_1
+      value: 4.3
+    - type: recall_at_10
+      value: 16.400000000000002
+    - type: recall_at_100
+      value: 36.3
+    - type: recall_at_1000
+      value: 63.5
+    - type: recall_at_3
+      value: 8.9
+    - type: recall_at_5
+      value: 11.899999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 43.13197383609081
+    - type: f1
+      value: 33.19723983169144
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 69.08067542213884
+    - type: ap
+      value: 31.497021246386026
+    - type: f1
+      value: 63.10432314478336
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 54.02193542004488
+    - type: cos_sim_spearman
+      value: 63.29956119287726
+    - type: euclidean_pearson
+      value: 60.824093753187505
+    - type: euclidean_spearman
+      value: 63.29955451768957
+    - type: manhattan_pearson
+      value: 60.6562745233606
+    - type: manhattan_spearman
+      value: 63.15715056564471
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 14.567487648388411
+    - type: mrr
+      value: 13.480555555555556
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.494
+    - type: map_at_10
+      value: 40.034
+    - type: map_at_100
+      value: 40.905
+    - type: map_at_1000
+      value: 40.964
+    - type: map_at_3
+      value: 37.531
+    - type: map_at_5
+      value: 38.927
+    - type: mrr_at_1
+      value: 32.708
+    - type: mrr_at_10
+      value: 40.785
+    - type: mrr_at_100
+      value: 41.597
+    - type: mrr_at_1000
+      value: 41.650999999999996
+    - type: mrr_at_3
+      value: 38.448
+    - type: mrr_at_5
+      value: 39.729
+    - type: ndcg_at_1
+      value: 32.708
+    - type: ndcg_at_10
+      value: 44.623000000000005
+    - type: ndcg_at_100
+      value: 48.964
+    - type: ndcg_at_1000
+      value: 50.623
+    - type: ndcg_at_3
+      value: 39.6
+    - type: ndcg_at_5
+      value: 42.01
+    - type: precision_at_1
+      value: 32.708
+    - type: precision_at_10
+      value: 6.193
+    - type: precision_at_100
+      value: 0.8410000000000001
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 15.706999999999999
+    - type: precision_at_5
+      value: 10.685
+    - type: recall_at_1
+      value: 31.494
+    - type: recall_at_10
+      value: 58.367999999999995
+    - type: recall_at_100
+      value: 78.874
+    - type: recall_at_1000
+      value: 92.065
+    - type: recall_at_3
+      value: 44.668
+    - type: recall_at_5
+      value: 50.424
+  - 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: 61.23066577000673
+    - type: f1
+      value: 59.761305591910464
+  - 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: 68.12373907195696
+    - type: f1
+      value: 67.76061327147141
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.3
+    - type: map_at_10
+      value: 12.374
+    - type: map_at_100
+      value: 12.931000000000001
+    - type: map_at_1000
+      value: 13.008000000000001
+    - type: map_at_3
+      value: 11.283
+    - type: map_at_5
+      value: 12.058
+    - type: mrr_at_1
+      value: 9.5
+    - type: mrr_at_10
+      value: 12.472999999999999
+    - type: mrr_at_100
+      value: 13.03
+    - type: mrr_at_1000
+      value: 13.107
+    - type: mrr_at_3
+      value: 11.383000000000001
+    - type: mrr_at_5
+      value: 12.158
+    - type: ndcg_at_1
+      value: 9.3
+    - type: ndcg_at_10
+      value: 14.099999999999998
+    - type: ndcg_at_100
+      value: 17.198
+    - type: ndcg_at_1000
+      value: 19.852
+    - type: ndcg_at_3
+      value: 11.93
+    - type: ndcg_at_5
+      value: 13.328000000000001
+    - type: precision_at_1
+      value: 9.3
+    - type: precision_at_10
+      value: 1.96
+    - type: precision_at_100
+      value: 0.35000000000000003
+    - type: precision_at_1000
+      value: 0.056999999999999995
+    - type: precision_at_3
+      value: 4.6
+    - type: precision_at_5
+      value: 3.44
+    - type: recall_at_1
+      value: 9.3
+    - type: recall_at_10
+      value: 19.6
+    - type: recall_at_100
+      value: 35
+    - type: recall_at_1000
+      value: 57.199999999999996
+    - type: recall_at_3
+      value: 13.8
+    - type: recall_at_5
+      value: 17.2
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 67.83
+    - type: f1
+      value: 67.50431678051608
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 69.89713048186248
+    - type: cos_sim_ap
+      value: 75.10270746572424
+    - type: cos_sim_f1
+      value: 73.33046100818613
+    - type: cos_sim_precision
+      value: 61.93595342066958
+    - type: cos_sim_recall
+      value: 89.86272439281943
+    - type: dot_accuracy
+      value: 69.89713048186248
+    - type: dot_ap
+      value: 75.10270746572424
+    - type: dot_f1
+      value: 73.33046100818613
+    - type: dot_precision
+      value: 61.93595342066958
+    - type: dot_recall
+      value: 89.86272439281943
+    - type: euclidean_accuracy
+      value: 69.89713048186248
+    - type: euclidean_ap
+      value: 75.10270746572424
+    - type: euclidean_f1
+      value: 73.33046100818613
+    - type: euclidean_precision
+      value: 61.93595342066958
+    - type: euclidean_recall
+      value: 89.86272439281943
+    - type: manhattan_accuracy
+      value: 70.00541418516514
+    - type: manhattan_ap
+      value: 75.07347960628417
+    - type: manhattan_f1
+      value: 73.24675324675324
+    - type: manhattan_precision
+      value: 62.06896551724138
+    - type: manhattan_recall
+      value: 89.33474128827878
+    - type: max_accuracy
+      value: 70.00541418516514
+    - type: max_ap
+      value: 75.10270746572424
+    - type: max_f1
+      value: 73.33046100818613
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 88.13000000000001
+    - type: ap
+      value: 85.7357456225748
+    - type: f1
+      value: 88.12469116496673
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 11.713881723907775
+    - type: cos_sim_spearman
+      value: 12.159392805493383
+    - type: euclidean_pearson
+      value: 13.764163101613821
+    - type: euclidean_spearman
+      value: 12.17319102585978
+    - type: manhattan_pearson
+      value: 13.743967979398372
+    - type: manhattan_spearman
+      value: 12.134172992222004
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 21.767902610816733
+    - type: cos_sim_spearman
+      value: 22.530506869886555
+    - type: euclidean_pearson
+      value: 21.17191447535752
+    - type: euclidean_spearman
+      value: 22.53064562928237
+    - type: manhattan_pearson
+      value: 21.240920686498587
+    - type: manhattan_spearman
+      value: 22.57471787959808
+  - 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: 59.118709223447084
+    - type: cos_sim_spearman
+      value: 61.7500061568468
+    - type: euclidean_pearson
+      value: 58.90022905396264
+    - type: euclidean_spearman
+      value: 61.74799303717487
+    - type: manhattan_pearson
+      value: 58.82808730371198
+    - type: manhattan_spearman
+      value: 61.70225906009564
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.53607014031085
+    - type: cos_sim_spearman
+      value: 80.83740035804547
+    - type: euclidean_pearson
+      value: 80.94021759403765
+    - type: euclidean_spearman
+      value: 80.83713307198732
+    - type: manhattan_pearson
+      value: 80.89426880038783
+    - type: manhattan_spearman
+      value: 80.75956591778406
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 64.49344121348362
+    - type: mrr
+      value: 74.23022052422864
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.964
+    - type: map_at_10
+      value: 20.035
+    - type: map_at_100
+      value: 22.862
+    - type: map_at_1000
+      value: 23.177
+    - type: map_at_3
+      value: 14.327000000000002
+    - type: map_at_5
+      value: 17.230999999999998
+    - type: mrr_at_1
+      value: 33.495999999999995
+    - type: mrr_at_10
+      value: 41.165
+    - type: mrr_at_100
+      value: 41.9
+    - type: mrr_at_1000
+      value: 41.953
+    - type: mrr_at_3
+      value: 39.088
+    - type: mrr_at_5
+      value: 40.254
+    - type: ndcg_at_1
+      value: 33.495999999999995
+    - type: ndcg_at_10
+      value: 28.348000000000003
+    - type: ndcg_at_100
+      value: 35.845
+    - type: ndcg_at_1000
+      value: 40.333999999999996
+    - type: ndcg_at_3
+      value: 29.500999999999998
+    - type: ndcg_at_5
+      value: 28.083999999999996
+    - type: precision_at_1
+      value: 33.495999999999995
+    - type: precision_at_10
+      value: 15.120000000000001
+    - type: precision_at_100
+      value: 2.825
+    - type: precision_at_1000
+      value: 0.39899999999999997
+    - type: precision_at_3
+      value: 26.245
+    - type: precision_at_5
+      value: 21.668000000000003
+    - type: recall_at_1
+      value: 7.964
+    - type: recall_at_10
+      value: 28.58
+    - type: recall_at_100
+      value: 51.837
+    - type: recall_at_1000
+      value: 74.27
+    - type: recall_at_3
+      value: 16.537
+    - type: recall_at_5
+      value: 21.632
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 44.416
+    - type: f1
+      value: 42.755758297432024
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 47.29874955201481
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 36.76574996149121
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.700000000000001
+    - type: map_at_10
+      value: 12.537999999999998
+    - type: map_at_100
+      value: 13.012
+    - type: map_at_1000
+      value: 13.062000000000001
+    - type: map_at_3
+      value: 11.517
+    - type: map_at_5
+      value: 12.157
+    - type: mrr_at_1
+      value: 9.700000000000001
+    - type: mrr_at_10
+      value: 12.537999999999998
+    - type: mrr_at_100
+      value: 13.012
+    - type: mrr_at_1000
+      value: 13.062000000000001
+    - type: mrr_at_3
+      value: 11.517
+    - type: mrr_at_5
+      value: 12.157
+    - type: ndcg_at_1
+      value: 9.700000000000001
+    - type: ndcg_at_10
+      value: 14.174999999999999
+    - type: ndcg_at_100
+      value: 16.692999999999998
+    - type: ndcg_at_1000
+      value: 18.337999999999997
+    - type: ndcg_at_3
+      value: 12.127
+    - type: ndcg_at_5
+      value: 13.281
+    - type: precision_at_1
+      value: 9.700000000000001
+    - type: precision_at_10
+      value: 1.94
+    - type: precision_at_100
+      value: 0.317
+    - type: precision_at_1000
+      value: 0.045
+    - type: precision_at_3
+      value: 4.633
+    - type: precision_at_5
+      value: 3.34
+    - type: recall_at_1
+      value: 9.700000000000001
+    - type: recall_at_10
+      value: 19.400000000000002
+    - type: recall_at_100
+      value: 31.7
+    - type: recall_at_1000
+      value: 45.300000000000004
+    - type: recall_at_3
+      value: 13.900000000000002
+    - type: recall_at_5
+      value: 16.7
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 84.14999999999999
+    - type: ap
+      value: 65.29278050315834
+    - type: f1
+      value: 82.14463322877558
 license: apache-2.0
 ---
+
+---
+license: apache-2.0
+---