Update README.md

README.md

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+tags:
+- mteb
+model-index:
+- name: Dmeta-embedding-zh-small
+  results:
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 55.38441014851534
+    - type: cos_sim_spearman
+      value: 59.54284362578262
+    - type: euclidean_pearson
+      value: 58.18592108890414
+    - type: euclidean_spearman
+      value: 59.54284362133902
+    - type: manhattan_pearson
+      value: 58.142197046175916
+    - type: manhattan_spearman
+      value: 59.47943468645265
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 55.96911621560259
+    - type: cos_sim_spearman
+      value: 58.6334496101353
+    - type: euclidean_pearson
+      value: 62.78426382809823
+    - type: euclidean_spearman
+      value: 58.63344961011331
+    - type: manhattan_pearson
+      value: 62.80625401678188
+    - type: manhattan_spearman
+      value: 58.618722128260394
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 44.88
+    - type: f1
+      value: 42.739249460584375
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.56815521242152
+    - type: cos_sim_spearman
+      value: 70.30776353631751
+    - type: euclidean_pearson
+      value: 69.10087719019191
+    - type: euclidean_spearman
+      value: 70.30775660748148
+    - type: manhattan_pearson
+      value: 69.0672710967445
+    - type: manhattan_spearman
+      value: 70.31940638148254
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 40.7861976704356
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 38.43028280281822
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 86.78386695617407
+    - type: mrr
+      value: 88.79857142857142
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 87.38582377194436
+    - type: mrr
+      value: 89.17158730158731
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.746000000000002
+    - type: map_at_10
+      value: 35.952
+    - type: map_at_100
+      value: 37.946999999999996
+    - type: map_at_1000
+      value: 38.059
+    - type: map_at_3
+      value: 31.680999999999997
+    - type: map_at_5
+      value: 34.046
+    - type: mrr_at_1
+      value: 36.409000000000006
+    - type: mrr_at_10
+      value: 44.801
+    - type: mrr_at_100
+      value: 45.842
+    - type: mrr_at_1000
+      value: 45.885999999999996
+    - type: mrr_at_3
+      value: 42.081
+    - type: mrr_at_5
+      value: 43.613
+    - type: ndcg_at_1
+      value: 36.409000000000006
+    - type: ndcg_at_10
+      value: 42.687000000000005
+    - type: ndcg_at_100
+      value: 50.352
+    - type: ndcg_at_1000
+      value: 52.275000000000006
+    - type: ndcg_at_3
+      value: 37.113
+    - type: ndcg_at_5
+      value: 39.434000000000005
+    - type: precision_at_1
+      value: 36.409000000000006
+    - type: precision_at_10
+      value: 9.712
+    - type: precision_at_100
+      value: 1.584
+    - type: precision_at_1000
+      value: 0.182
+    - type: precision_at_3
+      value: 21.096999999999998
+    - type: precision_at_5
+      value: 15.498999999999999
+    - type: recall_at_1
+      value: 23.746000000000002
+    - type: recall_at_10
+      value: 53.596
+    - type: recall_at_100
+      value: 85.232
+    - type: recall_at_1000
+      value: 98.092
+    - type: recall_at_3
+      value: 37.226
+    - type: recall_at_5
+      value: 44.187
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.66987372218881
+    - type: cos_sim_ap
+      value: 90.28715189799232
+    - type: cos_sim_f1
+      value: 84.108318049412
+    - type: cos_sim_precision
+      value: 78.0849358974359
+    - type: cos_sim_recall
+      value: 91.13864858545709
+    - type: dot_accuracy
+      value: 82.66987372218881
+    - type: dot_ap
+      value: 90.29346021403634
+    - type: dot_f1
+      value: 84.108318049412
+    - type: dot_precision
+      value: 78.0849358974359
+    - type: dot_recall
+      value: 91.13864858545709
+    - type: euclidean_accuracy
+      value: 82.66987372218881
+    - type: euclidean_ap
+      value: 90.28656734732074
+    - type: euclidean_f1
+      value: 84.108318049412
+    - type: euclidean_precision
+      value: 78.0849358974359
+    - type: euclidean_recall
+      value: 91.13864858545709
+    - type: manhattan_accuracy
+      value: 82.70595309681299
+    - type: manhattan_ap
+      value: 90.25413574022456
+    - type: manhattan_f1
+      value: 83.9924670433145
+    - type: manhattan_precision
+      value: 79.81052631578947
+    - type: manhattan_recall
+      value: 88.63689501987373
+    - type: max_accuracy
+      value: 82.70595309681299
+    - type: max_ap
+      value: 90.29346021403634
+    - type: max_f1
+      value: 84.108318049412
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 61.38
+    - type: map_at_10
+      value: 71.23
+    - type: map_at_100
+      value: 71.61800000000001
+    - type: map_at_1000
+      value: 71.63000000000001
+    - type: map_at_3
+      value: 69.31
+    - type: map_at_5
+      value: 70.403
+    - type: mrr_at_1
+      value: 61.538000000000004
+    - type: mrr_at_10
+      value: 71.28999999999999
+    - type: mrr_at_100
+      value: 71.666
+    - type: mrr_at_1000
+      value: 71.678
+    - type: mrr_at_3
+      value: 69.44200000000001
+    - type: mrr_at_5
+      value: 70.506
+    - type: ndcg_at_1
+      value: 61.538000000000004
+    - type: ndcg_at_10
+      value: 75.626
+    - type: ndcg_at_100
+      value: 77.449
+    - type: ndcg_at_1000
+      value: 77.73400000000001
+    - type: ndcg_at_3
+      value: 71.75200000000001
+    - type: ndcg_at_5
+      value: 73.695
+    - type: precision_at_1
+      value: 61.538000000000004
+    - type: precision_at_10
+      value: 9.009
+    - type: precision_at_100
+      value: 0.9860000000000001
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 26.379
+    - type: precision_at_5
+      value: 16.797
+    - type: recall_at_1
+      value: 61.38
+    - type: recall_at_10
+      value: 89.199
+    - type: recall_at_100
+      value: 97.576
+    - type: recall_at_1000
+      value: 99.789
+    - type: recall_at_3
+      value: 78.635
+    - type: recall_at_5
+      value: 83.325
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.067
+    - type: map_at_10
+      value: 70.658
+    - type: map_at_100
+      value: 73.85300000000001
+    - type: map_at_1000
+      value: 73.925
+    - type: map_at_3
+      value: 48.391
+    - type: map_at_5
+      value: 61.172000000000004
+    - type: mrr_at_1
+      value: 83.1
+    - type: mrr_at_10
+      value: 88.214
+    - type: mrr_at_100
+      value: 88.298
+    - type: mrr_at_1000
+      value: 88.304
+    - type: mrr_at_3
+      value: 87.717
+    - type: mrr_at_5
+      value: 88.03699999999999
+    - type: ndcg_at_1
+      value: 83.1
+    - type: ndcg_at_10
+      value: 79.89
+    - type: ndcg_at_100
+      value: 83.829
+    - type: ndcg_at_1000
+      value: 84.577
+    - type: ndcg_at_3
+      value: 78.337
+    - type: ndcg_at_5
+      value: 77.224
+    - type: precision_at_1
+      value: 83.1
+    - type: precision_at_10
+      value: 38.934999999999995
+    - type: precision_at_100
+      value: 4.6690000000000005
+    - type: precision_at_1000
+      value: 0.484
+    - type: precision_at_3
+      value: 70.48299999999999
+    - type: precision_at_5
+      value: 59.68
+    - type: recall_at_1
+      value: 23.067
+    - type: recall_at_10
+      value: 81.702
+    - type: recall_at_100
+      value: 94.214
+    - type: recall_at_1000
+      value: 98.241
+    - type: recall_at_3
+      value: 51.538
+    - type: recall_at_5
+      value: 67.39
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 49.8
+    - type: map_at_10
+      value: 59.46399999999999
+    - type: map_at_100
+      value: 60.063
+    - type: map_at_1000
+      value: 60.08
+    - type: map_at_3
+      value: 56.833
+    - type: map_at_5
+      value: 58.438
+    - type: mrr_at_1
+      value: 49.8
+    - type: mrr_at_10
+      value: 59.46399999999999
+    - type: mrr_at_100
+      value: 60.063
+    - type: mrr_at_1000
+      value: 60.08
+    - type: mrr_at_3
+      value: 56.833
+    - type: mrr_at_5
+      value: 58.438
+    - type: ndcg_at_1
+      value: 49.8
+    - type: ndcg_at_10
+      value: 64.48
+    - type: ndcg_at_100
+      value: 67.314
+    - type: ndcg_at_1000
+      value: 67.745
+    - type: ndcg_at_3
+      value: 59.06400000000001
+    - type: ndcg_at_5
+      value: 61.973
+    - type: precision_at_1
+      value: 49.8
+    - type: precision_at_10
+      value: 8.04
+    - type: precision_at_100
+      value: 0.935
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 21.833
+    - type: precision_at_5
+      value: 14.52
+    - type: recall_at_1
+      value: 49.8
+    - type: recall_at_10
+      value: 80.4
+    - type: recall_at_100
+      value: 93.5
+    - type: recall_at_1000
+      value: 96.8
+    - type: recall_at_3
+      value: 65.5
+    - type: recall_at_5
+      value: 72.6
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 49.111196614082345
+    - type: f1
+      value: 37.07930546974089
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 85.57223264540339
+    - type: ap
+      value: 53.30690968994808
+    - type: f1
+      value: 80.20587062271773
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 73.03085269274996
+    - type: cos_sim_spearman
+      value: 78.72837937949888
+    - type: euclidean_pearson
+      value: 78.34911745798928
+    - type: euclidean_spearman
+      value: 78.72838602779268
+    - type: manhattan_pearson
+      value: 78.31833697617105
+    - type: manhattan_spearman
+      value: 78.69603741566397
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 27.391692468538416
+    - type: mrr
+      value: 26.44682539682539
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 57.206999999999994
+    - type: map_at_10
+      value: 66.622
+    - type: map_at_100
+      value: 67.12700000000001
+    - type: map_at_1000
+      value: 67.145
+    - type: map_at_3
+      value: 64.587
+    - type: map_at_5
+      value: 65.827
+    - type: mrr_at_1
+      value: 59.312
+    - type: mrr_at_10
+      value: 67.387
+    - type: mrr_at_100
+      value: 67.836
+    - type: mrr_at_1000
+      value: 67.851
+    - type: mrr_at_3
+      value: 65.556
+    - type: mrr_at_5
+      value: 66.66
+    - type: ndcg_at_1
+      value: 59.312
+    - type: ndcg_at_10
+      value: 70.748
+    - type: ndcg_at_100
+      value: 73.076
+    - type: ndcg_at_1000
+      value: 73.559
+    - type: ndcg_at_3
+      value: 66.81200000000001
+    - type: ndcg_at_5
+      value: 68.92399999999999
+    - type: precision_at_1
+      value: 59.312
+    - type: precision_at_10
+      value: 8.798
+    - type: precision_at_100
+      value: 0.996
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 25.487
+    - type: precision_at_5
+      value: 16.401
+    - type: recall_at_1
+      value: 57.206999999999994
+    - type: recall_at_10
+      value: 82.767
+    - type: recall_at_100
+      value: 93.449
+    - type: recall_at_1000
+      value: 97.262
+    - type: recall_at_3
+      value: 72.271
+    - type: recall_at_5
+      value: 77.291
+  - 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: 70.78345662407531
+    - type: f1
+      value: 68.35683436974351
+  - 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: 73.16408876933423
+    - type: f1
+      value: 73.31484873459382
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 51.4
+    - type: map_at_10
+      value: 57.091
+    - type: map_at_100
+      value: 57.652
+    - type: map_at_1000
+      value: 57.703
+    - type: map_at_3
+      value: 55.733
+    - type: map_at_5
+      value: 56.363
+    - type: mrr_at_1
+      value: 51.7
+    - type: mrr_at_10
+      value: 57.243
+    - type: mrr_at_100
+      value: 57.80499999999999
+    - type: mrr_at_1000
+      value: 57.855999999999995
+    - type: mrr_at_3
+      value: 55.883
+    - type: mrr_at_5
+      value: 56.513000000000005
+    - type: ndcg_at_1
+      value: 51.4
+    - type: ndcg_at_10
+      value: 59.948
+    - type: ndcg_at_100
+      value: 63.064
+    - type: ndcg_at_1000
+      value: 64.523
+    - type: ndcg_at_3
+      value: 57.089999999999996
+    - type: ndcg_at_5
+      value: 58.214
+    - type: precision_at_1
+      value: 51.4
+    - type: precision_at_10
+      value: 6.9
+    - type: precision_at_100
+      value: 0.845
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_3
+      value: 20.333000000000002
+    - type: precision_at_5
+      value: 12.740000000000002
+    - type: recall_at_1
+      value: 51.4
+    - type: recall_at_10
+      value: 69.0
+    - type: recall_at_100
+      value: 84.5
+    - type: recall_at_1000
+      value: 96.2
+    - type: recall_at_3
+      value: 61.0
+    - type: recall_at_5
+      value: 63.7
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 74.38999999999999
+    - type: f1
+      value: 74.07161306140839
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 81.15863562533838
+    - type: cos_sim_ap
+      value: 84.84571607908443
+    - type: cos_sim_f1
+      value: 82.55872063968016
+    - type: cos_sim_precision
+      value: 78.36812144212524
+    - type: cos_sim_recall
+      value: 87.22280887011615
+    - type: dot_accuracy
+      value: 81.15863562533838
+    - type: dot_ap
+      value: 84.84571607908443
+    - type: dot_f1
+      value: 82.55872063968016
+    - type: dot_precision
+      value: 78.36812144212524
+    - type: dot_recall
+      value: 87.22280887011615
+    - type: euclidean_accuracy
+      value: 81.15863562533838
+    - type: euclidean_ap
+      value: 84.84571607908443
+    - type: euclidean_f1
+      value: 82.55872063968016
+    - type: euclidean_precision
+      value: 78.36812144212524
+    - type: euclidean_recall
+      value: 87.22280887011615
+    - type: manhattan_accuracy
+      value: 80.7796426637791
+    - type: manhattan_ap
+      value: 84.81524098914134
+    - type: manhattan_f1
+      value: 82.36462990561351
+    - type: manhattan_precision
+      value: 77.76735459662288
+    - type: manhattan_recall
+      value: 87.53959873284055
+    - type: max_accuracy
+      value: 81.15863562533838
+    - type: max_ap
+      value: 84.84571607908443
+    - type: max_f1
+      value: 82.55872063968016
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 93.12000000000002
+    - type: ap
+      value: 91.0749103088623
+    - type: f1
+      value: 93.10837266607813
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 38.5692290188029
+    - type: cos_sim_spearman
+      value: 42.965264868554335
+    - type: euclidean_pearson
+      value: 43.002526263615735
+    - type: euclidean_spearman
+      value: 42.97561576045246
+    - type: manhattan_pearson
+      value: 43.050089639788936
+    - type: manhattan_spearman
+      value: 43.038497558804934
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 38.99284895602663
+    - type: cos_sim_spearman
+      value: 41.02655813481606
+    - type: euclidean_pearson
+      value: 38.934953519378354
+    - type: euclidean_spearman
+      value: 41.02680077136343
+    - type: manhattan_pearson
+      value: 39.224809609807785
+    - type: manhattan_spearman
+      value: 41.13950779185706
+  - 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: 66.47464607633356
+    - type: cos_sim_spearman
+      value: 66.76311382148693
+    - type: euclidean_pearson
+      value: 67.25180409604143
+    - type: euclidean_spearman
+      value: 66.76311382148693
+    - type: manhattan_pearson
+      value: 67.6928257682864
+    - type: manhattan_spearman
+      value: 67.08172581019826
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.48943840585562
+    - type: cos_sim_spearman
+      value: 79.0869194735025
+    - type: euclidean_pearson
+      value: 79.48559575794792
+    - type: euclidean_spearman
+      value: 79.08765044225807
+    - type: manhattan_pearson
+      value: 79.36157224751007
+    - type: manhattan_spearman
+      value: 78.94400905463999
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 66.1093201711458
+    - type: mrr
+      value: 75.70959742506797
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.533
+    - type: map_at_10
+      value: 71.322
+    - type: map_at_100
+      value: 75.244
+    - type: map_at_1000
+      value: 75.333
+    - type: map_at_3
+      value: 50.15500000000001
+    - type: map_at_5
+      value: 61.514
+    - type: mrr_at_1
+      value: 86.126
+    - type: mrr_at_10
+      value: 89.462
+    - type: mrr_at_100
+      value: 89.58500000000001
+    - type: mrr_at_1000
+      value: 89.59
+    - type: mrr_at_3
+      value: 88.88000000000001
+    - type: mrr_at_5
+      value: 89.241
+    - type: ndcg_at_1
+      value: 86.126
+    - type: ndcg_at_10
+      value: 79.89500000000001
+    - type: ndcg_at_100
+      value: 84.405
+    - type: ndcg_at_1000
+      value: 85.286
+    - type: ndcg_at_3
+      value: 81.547
+    - type: ndcg_at_5
+      value: 79.834
+    - type: precision_at_1
+      value: 86.126
+    - type: precision_at_10
+      value: 39.972
+    - type: precision_at_100
+      value: 4.932
+    - type: precision_at_1000
+      value: 0.514
+    - type: precision_at_3
+      value: 71.49
+    - type: precision_at_5
+      value: 59.687
+    - type: recall_at_1
+      value: 25.533
+    - type: recall_at_10
+      value: 78.962
+    - type: recall_at_100
+      value: 93.413
+    - type: recall_at_1000
+      value: 97.89099999999999
+    - type: recall_at_3
+      value: 52.129000000000005
+    - type: recall_at_5
+      value: 65.444
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 51.800000000000004
+    - type: f1
+      value: 50.07807183704828
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 65.15253218390774
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 58.81779372506517
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 53.0
+    - type: map_at_10
+      value: 63.422999999999995
+    - type: map_at_100
+      value: 63.995000000000005
+    - type: map_at_1000
+      value: 64.004
+    - type: map_at_3
+      value: 61.382999999999996
+    - type: map_at_5
+      value: 62.488
+    - type: mrr_at_1
+      value: 53.0
+    - type: mrr_at_10
+      value: 63.422999999999995
+    - type: mrr_at_100
+      value: 63.995000000000005
+    - type: mrr_at_1000
+      value: 64.004
+    - type: mrr_at_3
+      value: 61.382999999999996
+    - type: mrr_at_5
+      value: 62.488
+    - type: ndcg_at_1
+      value: 53.0
+    - type: ndcg_at_10
+      value: 68.301
+    - type: ndcg_at_100
+      value: 70.988
+    - type: ndcg_at_1000
+      value: 71.294
+    - type: ndcg_at_3
+      value: 64.11
+    - type: ndcg_at_5
+      value: 66.094
+    - type: precision_at_1
+      value: 53.0
+    - type: precision_at_10
+      value: 8.35
+    - type: precision_at_100
+      value: 0.958
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 24.0
+    - type: precision_at_5
+      value: 15.36
+    - type: recall_at_1
+      value: 53.0
+    - type: recall_at_10
+      value: 83.5
+    - type: recall_at_100
+      value: 95.8
+    - type: recall_at_1000
+      value: 98.3
+    - type: recall_at_3
+      value: 72.0
+    - type: recall_at_5
+      value: 76.8
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 86.18
+    - type: ap
+      value: 69.04229346593745
+    - type: f1
+      value: 84.52986739717021
+---
 license: apache-2.0
 ---