Update README.md

README.md

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 ---
+tags:
+- mteb
+model-index:
+- name: windberta
+  results:
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 42.33337754104733
+    - type: cos_sim_spearman
+      value: 46.77492896615997
+    - type: euclidean_pearson
+      value: 45.485443713440205
+    - type: euclidean_spearman
+      value: 46.77492896615997
+    - type: manhattan_pearson
+      value: 45.47908853063357
+    - type: manhattan_spearman
+      value: 46.78349339487035
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 42.4857636418899
+    - type: cos_sim_spearman
+      value: 50.1796711684779
+    - type: euclidean_pearson
+      value: 50.19857844860528
+    - type: euclidean_spearman
+      value: 50.17966891674149
+    - type: manhattan_pearson
+      value: 50.189134647291425
+    - type: manhattan_spearman
+      value: 50.186194448855524
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 43.32
+    - type: f1
+      value: 41.656310147227025
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 53.71954834756843
+    - type: cos_sim_spearman
+      value: 55.24915785430301
+    - type: euclidean_pearson
+      value: 54.51293350057512
+    - type: euclidean_spearman
+      value: 55.249150926099745
+    - type: manhattan_pearson
+      value: 54.47449996486367
+    - type: manhattan_spearman
+      value: 55.2105677621172
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 42.45793696381908
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 40.378561138339656
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 77.41779986882574
+    - type: mrr
+      value: 81.09345238095239
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 77.84113571204598
+    - type: mrr
+      value: 81.18206349206349
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.706
+    - type: map_at_10
+      value: 27.782
+    - type: map_at_100
+      value: 29.482000000000003
+    - type: map_at_1000
+      value: 29.64
+    - type: map_at_3
+      value: 24.606
+    - type: map_at_5
+      value: 26.32
+    - type: mrr_at_1
+      value: 29.307
+    - type: mrr_at_10
+      value: 36.226
+    - type: mrr_at_100
+      value: 37.262
+    - type: mrr_at_1000
+      value: 37.335
+    - type: mrr_at_3
+      value: 33.928999999999995
+    - type: mrr_at_5
+      value: 35.181000000000004
+    - type: ndcg_at_1
+      value: 29.307
+    - type: ndcg_at_10
+      value: 33.452
+    - type: ndcg_at_100
+      value: 40.747
+    - type: ndcg_at_1000
+      value: 43.881
+    - type: ndcg_at_3
+      value: 29.186
+    - type: ndcg_at_5
+      value: 30.866
+    - type: precision_at_1
+      value: 29.307
+    - type: precision_at_10
+      value: 7.632
+    - type: precision_at_100
+      value: 1.357
+    - type: precision_at_1000
+      value: 0.17600000000000002
+    - type: precision_at_3
+      value: 16.688
+    - type: precision_at_5
+      value: 12.173
+    - type: recall_at_1
+      value: 18.706
+    - type: recall_at_10
+      value: 41.925000000000004
+    - type: recall_at_100
+      value: 72.817
+    - type: recall_at_1000
+      value: 94.33500000000001
+    - type: recall_at_3
+      value: 28.968
+    - type: recall_at_5
+      value: 34.29
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 79.84365604329525
+    - type: cos_sim_ap
+      value: 87.54800685674849
+    - type: cos_sim_f1
+      value: 81.0654184776552
+    - type: cos_sim_precision
+      value: 77.4488926746167
+    - type: cos_sim_recall
+      value: 85.0362403553893
+    - type: dot_accuracy
+      value: 79.84365604329525
+    - type: dot_ap
+      value: 87.55923139984687
+    - type: dot_f1
+      value: 81.0654184776552
+    - type: dot_precision
+      value: 77.4488926746167
+    - type: dot_recall
+      value: 85.0362403553893
+    - type: euclidean_accuracy
+      value: 79.84365604329525
+    - type: euclidean_ap
+      value: 87.54800685674849
+    - type: euclidean_f1
+      value: 81.0654184776552
+    - type: euclidean_precision
+      value: 77.4488926746167
+    - type: euclidean_recall
+      value: 85.0362403553893
+    - type: manhattan_accuracy
+      value: 79.7714972940469
+    - type: manhattan_ap
+      value: 87.55523320840679
+    - type: manhattan_f1
+      value: 80.99598034836983
+    - type: manhattan_precision
+      value: 77.51656336824108
+    - type: manhattan_recall
+      value: 84.80243161094225
+    - type: max_accuracy
+      value: 79.84365604329525
+    - type: max_ap
+      value: 87.55923139984687
+    - type: max_f1
+      value: 81.0654184776552
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 60.589999999999996
+    - type: map_at_10
+      value: 69.27600000000001
+    - type: map_at_100
+      value: 69.812
+    - type: map_at_1000
+      value: 69.82300000000001
+    - type: map_at_3
+      value: 67.448
+    - type: map_at_5
+      value: 68.537
+    - type: mrr_at_1
+      value: 60.695
+    - type: mrr_at_10
+      value: 69.32300000000001
+    - type: mrr_at_100
+      value: 69.854
+    - type: mrr_at_1000
+      value: 69.865
+    - type: mrr_at_3
+      value: 67.545
+    - type: mrr_at_5
+      value: 68.625
+    - type: ndcg_at_1
+      value: 60.695
+    - type: ndcg_at_10
+      value: 73.36
+    - type: ndcg_at_100
+      value: 75.78200000000001
+    - type: ndcg_at_1000
+      value: 76.077
+    - type: ndcg_at_3
+      value: 69.639
+    - type: ndcg_at_5
+      value: 71.59400000000001
+    - type: precision_at_1
+      value: 60.695
+    - type: precision_at_10
+      value: 8.704
+    - type: precision_at_100
+      value: 0.98
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 25.430000000000003
+    - type: precision_at_5
+      value: 16.27
+    - type: recall_at_1
+      value: 60.589999999999996
+    - type: recall_at_10
+      value: 86.038
+    - type: recall_at_100
+      value: 96.944
+    - type: recall_at_1000
+      value: 99.262
+    - type: recall_at_3
+      value: 75.869
+    - type: recall_at_5
+      value: 80.55799999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.294999999999998
+    - type: map_at_10
+      value: 70.99499999999999
+    - type: map_at_100
+      value: 74.126
+    - type: map_at_1000
+      value: 74.205
+    - type: map_at_3
+      value: 48.845
+    - type: map_at_5
+      value: 61.551
+    - type: mrr_at_1
+      value: 83.3
+    - type: mrr_at_10
+      value: 88.446
+    - type: mrr_at_100
+      value: 88.564
+    - type: mrr_at_1000
+      value: 88.57000000000001
+    - type: mrr_at_3
+      value: 88.0
+    - type: mrr_at_5
+      value: 88.25
+    - type: ndcg_at_1
+      value: 83.3
+    - type: ndcg_at_10
+      value: 80.128
+    - type: ndcg_at_100
+      value: 84.009
+    - type: ndcg_at_1000
+      value: 84.798
+    - type: ndcg_at_3
+      value: 78.79
+    - type: ndcg_at_5
+      value: 77.405
+    - type: precision_at_1
+      value: 83.3
+    - type: precision_at_10
+      value: 38.82
+    - type: precision_at_100
+      value: 4.657
+    - type: precision_at_1000
+      value: 0.484
+    - type: precision_at_3
+      value: 70.89999999999999
+    - type: precision_at_5
+      value: 59.550000000000004
+    - type: recall_at_1
+      value: 23.294999999999998
+    - type: recall_at_10
+      value: 82.12
+    - type: recall_at_100
+      value: 94.223
+    - type: recall_at_1000
+      value: 98.264
+    - type: recall_at_3
+      value: 51.946000000000005
+    - type: recall_at_5
+      value: 67.54299999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 42.0
+    - type: map_at_10
+      value: 51.207
+    - type: map_at_100
+      value: 51.964
+    - type: map_at_1000
+      value: 51.993
+    - type: map_at_3
+      value: 48.9
+    - type: map_at_5
+      value: 50.239999999999995
+    - type: mrr_at_1
+      value: 42.0
+    - type: mrr_at_10
+      value: 51.207
+    - type: mrr_at_100
+      value: 51.964
+    - type: mrr_at_1000
+      value: 51.993
+    - type: mrr_at_3
+      value: 48.9
+    - type: mrr_at_5
+      value: 50.239999999999995
+    - type: ndcg_at_1
+      value: 42.0
+    - type: ndcg_at_10
+      value: 55.886
+    - type: ndcg_at_100
+      value: 59.622
+    - type: ndcg_at_1000
+      value: 60.480999999999995
+    - type: ndcg_at_3
+      value: 51.112
+    - type: ndcg_at_5
+      value: 53.513
+    - type: precision_at_1
+      value: 42.0
+    - type: precision_at_10
+      value: 7.07
+    - type: precision_at_100
+      value: 0.8829999999999999
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 19.167
+    - type: precision_at_5
+      value: 12.659999999999998
+    - type: recall_at_1
+      value: 42.0
+    - type: recall_at_10
+      value: 70.7
+    - type: recall_at_100
+      value: 88.3
+    - type: recall_at_1000
+      value: 95.19999999999999
+    - type: recall_at_3
+      value: 57.49999999999999
+    - type: recall_at_5
+      value: 63.3
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 47.07964601769912
+    - type: f1
+      value: 35.71948030119852
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 84.48405253283303
+    - type: ap
+      value: 51.641044322555516
+    - type: f1
+      value: 79.09258868144057
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.02458550340191
+    - type: cos_sim_spearman
+      value: 74.28734803466209
+    - type: euclidean_pearson
+      value: 73.34335009219284
+    - type: euclidean_spearman
+      value: 74.28734803466209
+    - type: manhattan_pearson
+      value: 73.34314353425192
+    - type: manhattan_spearman
+      value: 74.28417768884727
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 30.17193800028175
+    - type: mrr
+      value: 29.161904761904765
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 61.039
+    - type: map_at_10
+      value: 70.19999999999999
+    - type: map_at_100
+      value: 70.602
+    - type: map_at_1000
+      value: 70.62
+    - type: map_at_3
+      value: 68.133
+    - type: map_at_5
+      value: 69.503
+    - type: mrr_at_1
+      value: 63.066
+    - type: mrr_at_10
+      value: 70.831
+    - type: mrr_at_100
+      value: 71.186
+    - type: mrr_at_1000
+      value: 71.202
+    - type: mrr_at_3
+      value: 69.00699999999999
+    - type: mrr_at_5
+      value: 70.22699999999999
+    - type: ndcg_at_1
+      value: 63.066
+    - type: ndcg_at_10
+      value: 74.141
+    - type: ndcg_at_100
+      value: 75.976
+    - type: ndcg_at_1000
+      value: 76.462
+    - type: ndcg_at_3
+      value: 70.242
+    - type: ndcg_at_5
+      value: 72.58099999999999
+    - type: precision_at_1
+      value: 63.066
+    - type: precision_at_10
+      value: 9.097
+    - type: precision_at_100
+      value: 1.001
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 26.571
+    - type: precision_at_5
+      value: 17.166
+    - type: recall_at_1
+      value: 61.039
+    - type: recall_at_10
+      value: 85.666
+    - type: recall_at_100
+      value: 94.017
+    - type: recall_at_1000
+      value: 97.819
+    - type: recall_at_3
+      value: 75.45100000000001
+    - type: recall_at_5
+      value: 81.02000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 42.199999999999996
+    - type: map_at_10
+      value: 47.774
+    - type: map_at_100
+      value: 48.324
+    - type: map_at_1000
+      value: 48.392
+    - type: map_at_3
+      value: 46.317
+    - type: map_at_5
+      value: 47.072
+    - type: mrr_at_1
+      value: 42.3
+    - type: mrr_at_10
+      value: 47.827
+    - type: mrr_at_100
+      value: 48.378
+    - type: mrr_at_1000
+      value: 48.446
+    - type: mrr_at_3
+      value: 46.367000000000004
+    - type: mrr_at_5
+      value: 47.142
+    - type: ndcg_at_1
+      value: 42.199999999999996
+    - type: ndcg_at_10
+      value: 50.671
+    - type: ndcg_at_100
+      value: 53.724000000000004
+    - type: ndcg_at_1000
+      value: 55.694
+    - type: ndcg_at_3
+      value: 47.625
+    - type: ndcg_at_5
+      value: 48.964
+    - type: precision_at_1
+      value: 42.199999999999996
+    - type: precision_at_10
+      value: 5.99
+    - type: precision_at_100
+      value: 0.751
+    - type: precision_at_1000
+      value: 0.091
+    - type: precision_at_3
+      value: 17.133000000000003
+    - type: precision_at_5
+      value: 10.92
+    - type: recall_at_1
+      value: 42.199999999999996
+    - type: recall_at_10
+      value: 59.9
+    - type: recall_at_100
+      value: 75.1
+    - type: recall_at_1000
+      value: 91.0
+    - type: recall_at_3
+      value: 51.4
+    - type: recall_at_5
+      value: 54.6
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 72.68333333333334
+    - type: f1
+      value: 72.53084383657173
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 72.92907417433676
+    - type: cos_sim_ap
+      value: 77.2067217322648
+    - type: cos_sim_f1
+      value: 76.53631284916202
+    - type: cos_sim_precision
+      value: 68.44296419650291
+    - type: cos_sim_recall
+      value: 86.80042238648363
+    - type: dot_accuracy
+      value: 72.92907417433676
+    - type: dot_ap
+      value: 77.2067217322648
+    - type: dot_f1
+      value: 76.53631284916202
+    - type: dot_precision
+      value: 68.44296419650291
+    - type: dot_recall
+      value: 86.80042238648363
+    - type: euclidean_accuracy
+      value: 72.92907417433676
+    - type: euclidean_ap
+      value: 77.2067217322648
+    - type: euclidean_f1
+      value: 76.53631284916202
+    - type: euclidean_precision
+      value: 68.44296419650291
+    - type: euclidean_recall
+      value: 86.80042238648363
+    - type: manhattan_accuracy
+      value: 72.98321602598809
+    - type: manhattan_ap
+      value: 77.10385348859928
+    - type: manhattan_f1
+      value: 76.67134174848059
+    - type: manhattan_precision
+      value: 68.79194630872483
+    - type: manhattan_recall
+      value: 86.58922914466737
+    - type: max_accuracy
+      value: 72.98321602598809
+    - type: max_ap
+      value: 77.2067217322648
+    - type: max_f1
+      value: 76.67134174848059
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 92.11000000000003
+    - type: ap
+      value: 90.49414877664759
+    - type: f1
+      value: 92.10539417755511
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.106919865870793
+    - type: cos_sim_spearman
+      value: 33.23892524348652
+    - type: euclidean_pearson
+      value: 33.62483348491917
+    - type: euclidean_spearman
+      value: 33.23892524348652
+    - type: manhattan_pearson
+      value: 33.63464275000747
+    - type: manhattan_spearman
+      value: 33.250596030941196
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 28.83792748309052
+    - type: cos_sim_spearman
+      value: 30.92395949947476
+    - type: euclidean_pearson
+      value: 29.296076928835973
+    - type: euclidean_spearman
+      value: 30.92395949947476
+    - type: manhattan_pearson
+      value: 29.220578930008596
+    - type: manhattan_spearman
+      value: 30.848850181684227
+  - 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: 62.485183619582465
+    - type: cos_sim_spearman
+      value: 64.41414883218417
+    - type: euclidean_pearson
+      value: 63.53854165422046
+    - type: euclidean_spearman
+      value: 64.41414883218417
+    - type: manhattan_pearson
+      value: 63.57621522539751
+    - type: manhattan_spearman
+      value: 64.49062238421523
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.96466421469466
+    - type: cos_sim_spearman
+      value: 79.74344126074892
+    - type: euclidean_pearson
+      value: 79.57588420768205
+    - type: euclidean_spearman
+      value: 79.74344126074892
+    - type: manhattan_pearson
+      value: 79.50301779470537
+    - type: manhattan_spearman
+      value: 79.67817007436709
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 65.85321176285859
+    - type: mrr
+      value: 75.72496534158688
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.437
+    - type: map_at_10
+      value: 67.85799999999999
+    - type: map_at_100
+      value: 71.65599999999999
+    - type: map_at_1000
+      value: 71.771
+    - type: map_at_3
+      value: 47.752
+    - type: map_at_5
+      value: 58.620000000000005
+    - type: mrr_at_1
+      value: 83.776
+    - type: mrr_at_10
+      value: 87.36699999999999
+    - type: mrr_at_100
+      value: 87.529
+    - type: mrr_at_1000
+      value: 87.535
+    - type: mrr_at_3
+      value: 86.669
+    - type: mrr_at_5
+      value: 87.126
+    - type: ndcg_at_1
+      value: 83.776
+    - type: ndcg_at_10
+      value: 76.839
+    - type: ndcg_at_100
+      value: 81.547
+    - type: ndcg_at_1000
+      value: 82.723
+    - type: ndcg_at_3
+      value: 78.731
+    - type: ndcg_at_5
+      value: 76.982
+    - type: precision_at_1
+      value: 83.776
+    - type: precision_at_10
+      value: 38.507999999999996
+    - type: precision_at_100
+      value: 4.809
+    - type: precision_at_1000
+      value: 0.509
+    - type: precision_at_3
+      value: 69.151
+    - type: precision_at_5
+      value: 57.74399999999999
+    - type: recall_at_1
+      value: 24.437
+    - type: recall_at_10
+      value: 75.887
+    - type: recall_at_100
+      value: 91.104
+    - type: recall_at_1000
+      value: 97.024
+    - type: recall_at_3
+      value: 49.835
+    - type: recall_at_5
+      value: 62.854
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 49.851
+    - type: f1
+      value: 48.115308719873006
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 58.53624772949936
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 54.145039782849956
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 49.0
+    - type: map_at_10
+      value: 58.888
+    - type: map_at_100
+      value: 59.512
+    - type: map_at_1000
+      value: 59.532
+    - type: map_at_3
+      value: 56.65
+    - type: map_at_5
+      value: 57.91
+    - type: mrr_at_1
+      value: 49.0
+    - type: mrr_at_10
+      value: 58.888
+    - type: mrr_at_100
+      value: 59.512
+    - type: mrr_at_1000
+      value: 59.532
+    - type: mrr_at_3
+      value: 56.65
+    - type: mrr_at_5
+      value: 57.91
+    - type: ndcg_at_1
+      value: 49.0
+    - type: ndcg_at_10
+      value: 63.656
+    - type: ndcg_at_100
+      value: 66.666
+    - type: ndcg_at_1000
+      value: 67.269
+    - type: ndcg_at_3
+      value: 59.082
+    - type: ndcg_at_5
+      value: 61.35
+    - type: precision_at_1
+      value: 49.0
+    - type: precision_at_10
+      value: 7.86
+    - type: precision_at_100
+      value: 0.9259999999999999
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 22.033
+    - type: precision_at_5
+      value: 14.32
+    - type: recall_at_1
+      value: 49.0
+    - type: recall_at_10
+      value: 78.60000000000001
+    - type: recall_at_100
+      value: 92.60000000000001
+    - type: recall_at_1000
+      value: 97.5
+    - type: recall_at_3
+      value: 66.10000000000001
+    - type: recall_at_5
+      value: 71.6
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 86.44000000000001
+    - type: ap
+      value: 69.51298270778649
+    - type: f1
+      value: 84.72728998827236
+---
 license: mit
 ---