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README.md

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+---
+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
+---