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README.md

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+---
+tags:
+- mteb
+model-index:
+- name: AGE_Hybrid
+  results:
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 54.374695963209476
+    - type: cos_sim_spearman
+      value: 58.61378404489695
+    - type: euclidean_pearson
+      value: 57.400266024507914
+    - type: euclidean_spearman
+      value: 58.613784047084096
+    - type: manhattan_pearson
+      value: 57.38157387794458
+    - type: manhattan_spearman
+      value: 58.574259007541265
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 54.45976756975548
+    - type: cos_sim_spearman
+      value: 58.02715269428664
+    - type: euclidean_pearson
+      value: 61.66384760865219
+    - type: euclidean_spearman
+      value: 58.02715269404729
+    - type: manhattan_pearson
+      value: 61.65225559810625
+    - type: manhattan_spearman
+      value: 58.01857808173552
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 49.684000000000005
+    - type: f1
+      value: 48.65598525270613
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.31255159649066
+    - type: cos_sim_spearman
+      value: 70.98203706268313
+    - type: euclidean_pearson
+      value: 70.00607736062557
+    - type: euclidean_spearman
+      value: 70.98203706225725
+    - type: manhattan_pearson
+      value: 69.99109520014915
+    - type: manhattan_spearman
+      value: 70.96937923489206
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 57.39428997427469
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 54.109596265048545
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 89.37069472390765
+    - type: mrr
+      value: 91.35595238095239
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 89.26794517307951
+    - type: mrr
+      value: 91.27345238095238
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
+    metrics:
+    - type: map_at_1
+      value: 27.367
+    - type: map_at_10
+      value: 40.595
+    - type: map_at_100
+      value: 42.522
+    - type: map_at_1000
+      value: 42.620999999999995
+    - type: map_at_3
+      value: 36.236000000000004
+    - type: map_at_5
+      value: 38.716
+    - type: mrr_at_1
+      value: 41.510000000000005
+    - type: mrr_at_10
+      value: 49.617
+    - type: mrr_at_100
+      value: 50.595
+    - type: mrr_at_1000
+      value: 50.632999999999996
+    - type: mrr_at_3
+      value: 47.124
+    - type: mrr_at_5
+      value: 48.565000000000005
+    - type: ndcg_at_1
+      value: 41.510000000000005
+    - type: ndcg_at_10
+      value: 47.259
+    - type: ndcg_at_100
+      value: 54.535
+    - type: ndcg_at_1000
+      value: 56.21000000000001
+    - type: ndcg_at_3
+      value: 41.921
+    - type: ndcg_at_5
+      value: 44.230999999999995
+    - type: precision_at_1
+      value: 41.510000000000005
+    - type: precision_at_10
+      value: 10.448
+    - type: precision_at_100
+      value: 1.629
+    - type: precision_at_1000
+      value: 0.184
+    - type: precision_at_3
+      value: 23.623
+    - type: precision_at_5
+      value: 17.183999999999997
+    - type: recall_at_1
+      value: 27.367
+    - type: recall_at_10
+      value: 57.809
+    - type: recall_at_100
+      value: 87.698
+    - type: recall_at_1000
+      value: 98.883
+    - type: recall_at_3
+      value: 41.738
+    - type: recall_at_5
+      value: 48.868
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 81.3950691521347
+    - type: cos_sim_ap
+      value: 89.42479623257792
+    - type: cos_sim_f1
+      value: 82.7800599533696
+    - type: cos_sim_precision
+      value: 78.81606765327696
+    - type: cos_sim_recall
+      value: 87.16389992985738
+    - type: dot_accuracy
+      value: 81.3950691521347
+    - type: dot_ap
+      value: 89.44637882076245
+    - type: dot_f1
+      value: 82.7800599533696
+    - type: dot_precision
+      value: 78.81606765327696
+    - type: dot_recall
+      value: 87.16389992985738
+    - type: euclidean_accuracy
+      value: 81.3950691521347
+    - type: euclidean_ap
+      value: 89.42479382288857
+    - type: euclidean_f1
+      value: 82.7800599533696
+    - type: euclidean_precision
+      value: 78.81606765327696
+    - type: euclidean_recall
+      value: 87.16389992985738
+    - type: manhattan_accuracy
+      value: 81.53938665063139
+    - type: manhattan_ap
+      value: 89.41695475090047
+    - type: manhattan_f1
+      value: 82.76245551601423
+    - type: manhattan_precision
+      value: 78.91834570519617
+    - type: manhattan_recall
+      value: 87.00023380874444
+    - type: max_accuracy
+      value: 81.53938665063139
+    - type: max_ap
+      value: 89.44637882076245
+    - type: max_f1
+      value: 82.7800599533696
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: 1271c7809071a13532e05f25fb53511ffce77117
+    metrics:
+    - type: map_at_1
+      value: 71.918
+    - type: map_at_10
+      value: 80.068
+    - type: map_at_100
+      value: 80.297
+    - type: map_at_1000
+      value: 80.30199999999999
+    - type: map_at_3
+      value: 78.40700000000001
+    - type: map_at_5
+      value: 79.467
+    - type: mrr_at_1
+      value: 72.287
+    - type: mrr_at_10
+      value: 80.123
+    - type: mrr_at_100
+      value: 80.34599999999999
+    - type: mrr_at_1000
+      value: 80.35
+    - type: mrr_at_3
+      value: 78.50399999999999
+    - type: mrr_at_5
+      value: 79.56800000000001
+    - type: ndcg_at_1
+      value: 72.181
+    - type: ndcg_at_10
+      value: 83.664
+    - type: ndcg_at_100
+      value: 84.61800000000001
+    - type: ndcg_at_1000
+      value: 84.75
+    - type: ndcg_at_3
+      value: 80.353
+    - type: ndcg_at_5
+      value: 82.242
+    - type: precision_at_1
+      value: 72.181
+    - type: precision_at_10
+      value: 9.579
+    - type: precision_at_100
+      value: 1.0
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 28.837000000000003
+    - type: precision_at_5
+      value: 18.251
+    - type: recall_at_1
+      value: 71.918
+    - type: recall_at_10
+      value: 94.784
+    - type: recall_at_100
+      value: 98.946
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 85.88
+    - type: recall_at_5
+      value: 90.411
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
+    metrics:
+    - type: map_at_1
+      value: 26.898
+    - type: map_at_10
+      value: 82.80999999999999
+    - type: map_at_100
+      value: 85.41499999999999
+    - type: map_at_1000
+      value: 85.449
+    - type: map_at_3
+      value: 57.692
+    - type: map_at_5
+      value: 72.921
+    - type: mrr_at_1
+      value: 92.15
+    - type: mrr_at_10
+      value: 94.489
+    - type: mrr_at_100
+      value: 94.549
+    - type: mrr_at_1000
+      value: 94.551
+    - type: mrr_at_3
+      value: 94.22500000000001
+    - type: mrr_at_5
+      value: 94.375
+    - type: ndcg_at_1
+      value: 92.15
+    - type: ndcg_at_10
+      value: 89.283
+    - type: ndcg_at_100
+      value: 91.63900000000001
+    - type: ndcg_at_1000
+      value: 91.94600000000001
+    - type: ndcg_at_3
+      value: 88.631
+    - type: ndcg_at_5
+      value: 87.576
+    - type: precision_at_1
+      value: 92.15
+    - type: precision_at_10
+      value: 42.47
+    - type: precision_at_100
+      value: 4.814
+    - type: precision_at_1000
+      value: 0.48900000000000005
+    - type: precision_at_3
+      value: 79.567
+    - type: precision_at_5
+      value: 67.2
+    - type: recall_at_1
+      value: 26.898
+    - type: recall_at_10
+      value: 89.934
+    - type: recall_at_100
+      value: 97.898
+    - type: recall_at_1000
+      value: 99.485
+    - type: recall_at_3
+      value: 59.504000000000005
+    - type: recall_at_5
+      value: 76.827
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
+    metrics:
+    - type: map_at_1
+      value: 54.0
+    - type: map_at_10
+      value: 64.352
+    - type: map_at_100
+      value: 64.845
+    - type: map_at_1000
+      value: 64.85600000000001
+    - type: map_at_3
+      value: 62.017
+    - type: map_at_5
+      value: 63.437
+    - type: mrr_at_1
+      value: 54.0
+    - type: mrr_at_10
+      value: 64.352
+    - type: mrr_at_100
+      value: 64.845
+    - type: mrr_at_1000
+      value: 64.85600000000001
+    - type: mrr_at_3
+      value: 62.017
+    - type: mrr_at_5
+      value: 63.437
+    - type: ndcg_at_1
+      value: 54.0
+    - type: ndcg_at_10
+      value: 69.284
+    - type: ndcg_at_100
+      value: 71.544
+    - type: ndcg_at_1000
+      value: 71.82600000000001
+    - type: ndcg_at_3
+      value: 64.56
+    - type: ndcg_at_5
+      value: 67.096
+    - type: precision_at_1
+      value: 54.0
+    - type: precision_at_10
+      value: 8.469999999999999
+    - type: precision_at_100
+      value: 0.95
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 23.967
+    - type: precision_at_5
+      value: 15.6
+    - type: recall_at_1
+      value: 54.0
+    - type: recall_at_10
+      value: 84.7
+    - type: recall_at_100
+      value: 95.0
+    - type: recall_at_1000
+      value: 97.2
+    - type: recall_at_3
+      value: 71.89999999999999
+    - type: recall_at_5
+      value: 78.0
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 51.773759138130046
+    - type: f1
+      value: 40.26448545790716
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 86.94183864915573
+    - type: ap
+      value: 55.767096662593886
+    - type: f1
+      value: 81.6651183069687
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 71.87746311678752
+    - type: cos_sim_spearman
+      value: 78.14244626549261
+    - type: euclidean_pearson
+      value: 77.64591562255025
+    - type: euclidean_spearman
+      value: 78.14244847987706
+    - type: manhattan_pearson
+      value: 77.6367858272359
+    - type: manhattan_spearman
+      value: 78.13184444922685
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 29.638329783788777
+    - type: mrr
+      value: 28.496825396825397
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
+    metrics:
+    - type: map_at_1
+      value: 68.235
+    - type: map_at_10
+      value: 77.116
+    - type: map_at_100
+      value: 77.415
+    - type: map_at_1000
+      value: 77.42599999999999
+    - type: map_at_3
+      value: 75.42
+    - type: map_at_5
+      value: 76.497
+    - type: mrr_at_1
+      value: 70.544
+    - type: mrr_at_10
+      value: 77.69200000000001
+    - type: mrr_at_100
+      value: 77.949
+    - type: mrr_at_1000
+      value: 77.958
+    - type: mrr_at_3
+      value: 76.227
+    - type: mrr_at_5
+      value: 77.16300000000001
+    - type: ndcg_at_1
+      value: 70.544
+    - type: ndcg_at_10
+      value: 80.648
+    - type: ndcg_at_100
+      value: 81.953
+    - type: ndcg_at_1000
+      value: 82.215
+    - type: ndcg_at_3
+      value: 77.43299999999999
+    - type: ndcg_at_5
+      value: 79.256
+    - type: precision_at_1
+      value: 70.544
+    - type: precision_at_10
+      value: 9.669
+    - type: precision_at_100
+      value: 1.032
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 29.059
+    - type: precision_at_5
+      value: 18.41
+    - type: recall_at_1
+      value: 68.235
+    - type: recall_at_10
+      value: 90.941
+    - type: recall_at_100
+      value: 96.784
+    - type: recall_at_1000
+      value: 98.799
+    - type: recall_at_3
+      value: 82.422
+    - type: recall_at_5
+      value: 86.76899999999999
+  - 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: 80.59852051109617
+    - type: f1
+      value: 76.44360152392117
+  - 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: 87.42098184263618
+    - type: f1
+      value: 86.90267126983493
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
+    metrics:
+    - type: map_at_1
+      value: 57.3
+    - type: map_at_10
+      value: 63.04
+    - type: map_at_100
+      value: 63.552
+    - type: map_at_1000
+      value: 63.596
+    - type: map_at_3
+      value: 61.733000000000004
+    - type: map_at_5
+      value: 62.407999999999994
+    - type: mrr_at_1
+      value: 57.4
+    - type: mrr_at_10
+      value: 63.074
+    - type: mrr_at_100
+      value: 63.586
+    - type: mrr_at_1000
+      value: 63.629000000000005
+    - type: mrr_at_3
+      value: 61.767
+    - type: mrr_at_5
+      value: 62.442
+    - type: ndcg_at_1
+      value: 57.3
+    - type: ndcg_at_10
+      value: 65.935
+    - type: ndcg_at_100
+      value: 68.679
+    - type: ndcg_at_1000
+      value: 69.89699999999999
+    - type: ndcg_at_3
+      value: 63.164
+    - type: ndcg_at_5
+      value: 64.39
+    - type: precision_at_1
+      value: 57.3
+    - type: precision_at_10
+      value: 7.51
+    - type: precision_at_100
+      value: 0.885
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 22.433
+    - type: precision_at_5
+      value: 14.06
+    - type: recall_at_1
+      value: 57.3
+    - type: recall_at_10
+      value: 75.1
+    - type: recall_at_100
+      value: 88.5
+    - type: recall_at_1000
+      value: 98.2
+    - type: recall_at_3
+      value: 67.30000000000001
+    - type: recall_at_5
+      value: 70.3
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 75.92333333333332
+    - type: f1
+      value: 75.92561004846668
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_accuracy
+      value: 80.67135896047645
+    - type: cos_sim_ap
+      value: 84.74126732324031
+    - type: cos_sim_f1
+      value: 82.35872235872236
+    - type: cos_sim_precision
+      value: 77.02205882352942
+    - type: cos_sim_recall
+      value: 88.48996832101372
+    - type: dot_accuracy
+      value: 80.67135896047645
+    - type: dot_ap
+      value: 84.74126732324031
+    - type: dot_f1
+      value: 82.35872235872236
+    - type: dot_precision
+      value: 77.02205882352942
+    - type: dot_recall
+      value: 88.48996832101372
+    - type: euclidean_accuracy
+      value: 80.67135896047645
+    - type: euclidean_ap
+      value: 84.74126732324031
+    - type: euclidean_f1
+      value: 82.35872235872236
+    - type: euclidean_precision
+      value: 77.02205882352942
+    - type: euclidean_recall
+      value: 88.48996832101372
+    - type: manhattan_accuracy
+      value: 80.94206821873307
+    - type: manhattan_ap
+      value: 84.77475030952647
+    - type: manhattan_f1
+      value: 82.40963855421687
+    - type: manhattan_precision
+      value: 75.79787234042553
+    - type: manhattan_recall
+      value: 90.28511087645195
+    - type: max_accuracy
+      value: 80.94206821873307
+    - type: max_ap
+      value: 84.77475030952647
+    - type: max_f1
+      value: 82.40963855421687
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 94.02999999999999
+    - type: ap
+      value: 92.56102428258882
+    - type: f1
+      value: 94.0218595765633
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 40.66196618410644
+    - type: cos_sim_spearman
+      value: 45.59387881622271
+    - type: euclidean_pearson
+      value: 45.30405962406599
+    - type: euclidean_spearman
+      value: 45.59200166442107
+    - type: manhattan_pearson
+      value: 45.2855547329122
+    - type: manhattan_spearman
+      value: 45.56029930327916
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 35.80405912029715
+    - type: cos_sim_spearman
+      value: 38.103568973803924
+    - type: euclidean_pearson
+      value: 36.074590892427224
+    - type: euclidean_spearman
+      value: 38.10356138638113
+    - type: manhattan_pearson
+      value: 36.10927406952271
+    - type: manhattan_spearman
+      value: 38.124281585018494
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (zh)
+      config: zh
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.46248249776727
+    - type: cos_sim_spearman
+      value: 65.33629395139023
+    - type: euclidean_pearson
+      value: 64.18937868341659
+    - type: euclidean_spearman
+      value: 65.33629395139023
+    - type: manhattan_pearson
+      value: 64.28420729517235
+    - type: manhattan_spearman
+      value: 65.38418816375115
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.13859545037208
+    - type: cos_sim_spearman
+      value: 82.42477317499657
+    - type: euclidean_pearson
+      value: 81.93620307339366
+    - type: euclidean_spearman
+      value: 82.42477317499657
+    - type: manhattan_pearson
+      value: 81.93897401643665
+    - type: manhattan_spearman
+      value: 82.42900199602553
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 66.61171519094763
+    - type: mrr
+      value: 76.28728466109982
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: 8731a845f1bf500a4f111cf1070785c793d10e64
+    metrics:
+    - type: map_at_1
+      value: 28.750999999999998
+    - type: map_at_10
+      value: 79.785
+    - type: map_at_100
+      value: 83.286
+    - type: map_at_1000
+      value: 83.344
+    - type: map_at_3
+      value: 56.525000000000006
+    - type: map_at_5
+      value: 69.242
+    - type: mrr_at_1
+      value: 92.23700000000001
+    - type: mrr_at_10
+      value: 94.248
+    - type: mrr_at_100
+      value: 94.306
+    - type: mrr_at_1000
+      value: 94.308
+    - type: mrr_at_3
+      value: 93.894
+    - type: mrr_at_5
+      value: 94.11500000000001
+    - type: ndcg_at_1
+      value: 92.23700000000001
+    - type: ndcg_at_10
+      value: 86.87700000000001
+    - type: ndcg_at_100
+      value: 90.125
+    - type: ndcg_at_1000
+      value: 90.66
+    - type: ndcg_at_3
+      value: 88.483
+    - type: ndcg_at_5
+      value: 87.042
+    - type: precision_at_1
+      value: 92.23700000000001
+    - type: precision_at_10
+      value: 42.712
+    - type: precision_at_100
+      value: 5.038
+    - type: precision_at_1000
+      value: 0.517
+    - type: precision_at_3
+      value: 77.095
+    - type: precision_at_5
+      value: 64.442
+    - type: recall_at_1
+      value: 28.750999999999998
+    - type: recall_at_10
+      value: 85.49600000000001
+    - type: recall_at_100
+      value: 96.13199999999999
+    - type: recall_at_1000
+      value: 98.785
+    - type: recall_at_3
+      value: 57.93000000000001
+    - type: recall_at_5
+      value: 72.151
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 52.689
+    - type: f1
+      value: 51.51955890162233
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 79.15418821175516
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: v_measure
+      value: 75.904971040467
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
+    metrics:
+    - type: map_at_1
+      value: 64.2
+    - type: map_at_10
+      value: 72.923
+    - type: map_at_100
+      value: 73.34
+    - type: map_at_1000
+      value: 73.35000000000001
+    - type: map_at_3
+      value: 71.48299999999999
+    - type: map_at_5
+      value: 72.40299999999999
+    - type: mrr_at_1
+      value: 64.2
+    - type: mrr_at_10
+      value: 72.923
+    - type: mrr_at_100
+      value: 73.34
+    - type: mrr_at_1000
+      value: 73.35000000000001
+    - type: mrr_at_3
+      value: 71.48299999999999
+    - type: mrr_at_5
+      value: 72.40299999999999
+    - type: ndcg_at_1
+      value: 64.2
+    - type: ndcg_at_10
+      value: 76.79
+    - type: ndcg_at_100
+      value: 78.744
+    - type: ndcg_at_1000
+      value: 78.95
+    - type: ndcg_at_3
+      value: 73.899
+    - type: ndcg_at_5
+      value: 75.53
+    - type: precision_at_1
+      value: 64.2
+    - type: precision_at_10
+      value: 8.870000000000001
+    - type: precision_at_100
+      value: 0.976
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 26.967000000000002
+    - type: precision_at_5
+      value: 16.96
+    - type: recall_at_1
+      value: 64.2
+    - type: recall_at_10
+      value: 88.7
+    - type: recall_at_100
+      value: 97.6
+    - type: recall_at_1000
+      value: 99.1
+    - type: recall_at_3
+      value: 80.9
+    - type: recall_at_5
+      value: 84.8
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: accuracy
+      value: 88.23
+    - type: ap
+      value: 72.99710316362655
+    - type: f1
+      value: 86.7822647711214
+---