Update README.md

README.md

@@ -2601,6 +2601,1055 @@ model-index:
       value: 86.60631843011362
     - type: max_f1
       value: 79.14949970570925
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: b44c3b011063adb25877c13823db83bb193913c4
+    metrics:
+    - type: cos_sim_pearson
+      value: 65.58442135663871
+    - type: cos_sim_spearman
+      value: 72.2538631361313
+    - type: euclidean_pearson
+      value: 70.97255486607429
+    - type: euclidean_spearman
+      value: 72.25374250228647
+    - type: manhattan_pearson
+      value: 70.83250199989911
+    - type: manhattan_spearman
+      value: 72.14819496536272
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
+    metrics:
+    - type: cos_sim_pearson
+      value: 59.99478404929932
+    - type: cos_sim_spearman
+      value: 62.61836216999812
+    - type: euclidean_pearson
+      value: 66.86429811933593
+    - type: euclidean_spearman
+      value: 62.6183520374191
+    - type: manhattan_pearson
+      value: 66.8063778911633
+    - type: manhattan_spearman
+      value: 62.569607573241115
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 53.98400000000001
+    - type: f1
+      value: 51.21447361350723
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.11941660686553
+    - type: cos_sim_spearman
+      value: 81.25029594540435
+    - type: euclidean_pearson
+      value: 82.06973504238826
+    - type: euclidean_spearman
+      value: 81.2501989488524
+    - type: manhattan_pearson
+      value: 82.10094630392753
+    - type: manhattan_spearman
+      value: 81.27987244392389
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
+    metrics:
+    - type: v_measure
+      value: 47.07270168705156
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
+    metrics:
+    - type: v_measure
+      value: 45.98511703185043
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
+    metrics:
+    - type: map
+      value: 88.19895157194931
+    - type: mrr
+      value: 90.21424603174603
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: 23d186750531a14a0357ca22cd92d712fd512ea0
+    metrics:
+    - type: map
+      value: 88.03317320980119
+    - type: mrr
+      value: 89.9461507936508
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
+    metrics:
+    - type: map_at_1
+      value: 29.037000000000003
+    - type: map_at_10
+      value: 42.001
+    - type: map_at_100
+      value: 43.773
+    - type: map_at_1000
+      value: 43.878
+    - type: map_at_3
+      value: 37.637
+    - type: map_at_5
+      value: 40.034
+    - type: mrr_at_1
+      value: 43.136
+    - type: mrr_at_10
+      value: 51.158
+    - type: mrr_at_100
+      value: 52.083
+    - type: mrr_at_1000
+      value: 52.12
+    - type: mrr_at_3
+      value: 48.733
+    - type: mrr_at_5
+      value: 50.025
+    - type: ndcg_at_1
+      value: 43.136
+    - type: ndcg_at_10
+      value: 48.685
+    - type: ndcg_at_100
+      value: 55.513
+    - type: ndcg_at_1000
+      value: 57.242000000000004
+    - type: ndcg_at_3
+      value: 43.329
+    - type: ndcg_at_5
+      value: 45.438
+    - type: precision_at_1
+      value: 43.136
+    - type: precision_at_10
+      value: 10.56
+    - type: precision_at_100
+      value: 1.6129999999999998
+    - type: precision_at_1000
+      value: 0.184
+    - type: precision_at_3
+      value: 24.064
+    - type: precision_at_5
+      value: 17.269000000000002
+    - type: recall_at_1
+      value: 29.037000000000003
+    - type: recall_at_10
+      value: 59.245000000000005
+    - type: recall_at_100
+      value: 87.355
+    - type: recall_at_1000
+      value: 98.74000000000001
+    - type: recall_at_3
+      value: 42.99
+    - type: recall_at_5
+      value: 49.681999999999995
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.68190018039687
+    - type: cos_sim_ap
+      value: 90.18017125327886
+    - type: cos_sim_f1
+      value: 83.64080906868193
+    - type: cos_sim_precision
+      value: 79.7076890489303
+    - type: cos_sim_recall
+      value: 87.98223053542202
+    - type: dot_accuracy
+      value: 82.68190018039687
+    - type: dot_ap
+      value: 90.18782350103646
+    - type: dot_f1
+      value: 83.64242087729039
+    - type: dot_precision
+      value: 79.65313028764805
+    - type: dot_recall
+      value: 88.05237315875614
+    - type: euclidean_accuracy
+      value: 82.68190018039687
+    - type: euclidean_ap
+      value: 90.1801957900632
+    - type: euclidean_f1
+      value: 83.63636363636364
+    - type: euclidean_precision
+      value: 79.52772506852203
+    - type: euclidean_recall
+      value: 88.19265840542437
+    - type: manhattan_accuracy
+      value: 82.14070956103427
+    - type: manhattan_ap
+      value: 89.96178420101427
+    - type: manhattan_f1
+      value: 83.21087838578791
+    - type: manhattan_precision
+      value: 78.35605121850475
+    - type: manhattan_recall
+      value: 88.70703764320785
+    - type: max_accuracy
+      value: 82.68190018039687
+    - type: max_ap
+      value: 90.18782350103646
+    - type: max_f1
+      value: 83.64242087729039
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: 1271c7809071a13532e05f25fb53511ffce77117
+    metrics:
+    - type: map_at_1
+      value: 72.234
+    - type: map_at_10
+      value: 80.10000000000001
+    - type: map_at_100
+      value: 80.36
+    - type: map_at_1000
+      value: 80.363
+    - type: map_at_3
+      value: 78.315
+    - type: map_at_5
+      value: 79.607
+    - type: mrr_at_1
+      value: 72.392
+    - type: mrr_at_10
+      value: 80.117
+    - type: mrr_at_100
+      value: 80.36999999999999
+    - type: mrr_at_1000
+      value: 80.373
+    - type: mrr_at_3
+      value: 78.469
+    - type: mrr_at_5
+      value: 79.633
+    - type: ndcg_at_1
+      value: 72.392
+    - type: ndcg_at_10
+      value: 83.651
+    - type: ndcg_at_100
+      value: 84.749
+    - type: ndcg_at_1000
+      value: 84.83000000000001
+    - type: ndcg_at_3
+      value: 80.253
+    - type: ndcg_at_5
+      value: 82.485
+    - type: precision_at_1
+      value: 72.392
+    - type: precision_at_10
+      value: 9.557
+    - type: precision_at_100
+      value: 1.004
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 28.732000000000003
+    - type: precision_at_5
+      value: 18.377
+    - type: recall_at_1
+      value: 72.234
+    - type: recall_at_10
+      value: 94.573
+    - type: recall_at_100
+      value: 99.368
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 85.669
+    - type: recall_at_5
+      value: 91.01700000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
+    metrics:
+    - type: map_at_1
+      value: 26.173999999999996
+    - type: map_at_10
+      value: 80.04
+    - type: map_at_100
+      value: 82.94500000000001
+    - type: map_at_1000
+      value: 82.98100000000001
+    - type: map_at_3
+      value: 55.562999999999995
+    - type: map_at_5
+      value: 69.89800000000001
+    - type: mrr_at_1
+      value: 89.5
+    - type: mrr_at_10
+      value: 92.996
+    - type: mrr_at_100
+      value: 93.06400000000001
+    - type: mrr_at_1000
+      value: 93.065
+    - type: mrr_at_3
+      value: 92.658
+    - type: mrr_at_5
+      value: 92.84599999999999
+    - type: ndcg_at_1
+      value: 89.5
+    - type: ndcg_at_10
+      value: 87.443
+    - type: ndcg_at_100
+      value: 90.253
+    - type: ndcg_at_1000
+      value: 90.549
+    - type: ndcg_at_3
+      value: 85.874
+    - type: ndcg_at_5
+      value: 84.842
+    - type: precision_at_1
+      value: 89.5
+    - type: precision_at_10
+      value: 41.805
+    - type: precision_at_100
+      value: 4.827
+    - type: precision_at_1000
+      value: 0.49
+    - type: precision_at_3
+      value: 76.85
+    - type: precision_at_5
+      value: 64.8
+    - type: recall_at_1
+      value: 26.173999999999996
+    - type: recall_at_10
+      value: 89.101
+    - type: recall_at_100
+      value: 98.08099999999999
+    - type: recall_at_1000
+      value: 99.529
+    - type: recall_at_3
+      value: 57.902
+    - type: recall_at_5
+      value: 74.602
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
+    metrics:
+    - type: map_at_1
+      value: 56.10000000000001
+    - type: map_at_10
+      value: 66.15299999999999
+    - type: map_at_100
+      value: 66.625
+    - type: map_at_1000
+      value: 66.636
+    - type: map_at_3
+      value: 63.632999999999996
+    - type: map_at_5
+      value: 65.293
+    - type: mrr_at_1
+      value: 56.10000000000001
+    - type: mrr_at_10
+      value: 66.15299999999999
+    - type: mrr_at_100
+      value: 66.625
+    - type: mrr_at_1000
+      value: 66.636
+    - type: mrr_at_3
+      value: 63.632999999999996
+    - type: mrr_at_5
+      value: 65.293
+    - type: ndcg_at_1
+      value: 56.10000000000001
+    - type: ndcg_at_10
+      value: 71.146
+    - type: ndcg_at_100
+      value: 73.27799999999999
+    - type: ndcg_at_1000
+      value: 73.529
+    - type: ndcg_at_3
+      value: 66.09
+    - type: ndcg_at_5
+      value: 69.08999999999999
+    - type: precision_at_1
+      value: 56.10000000000001
+    - type: precision_at_10
+      value: 8.68
+    - type: precision_at_100
+      value: 0.964
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 24.4
+    - type: precision_at_5
+      value: 16.1
+    - type: recall_at_1
+      value: 56.10000000000001
+    - type: recall_at_10
+      value: 86.8
+    - type: recall_at_100
+      value: 96.39999999999999
+    - type: recall_at_1000
+      value: 98.3
+    - type: recall_at_3
+      value: 73.2
+    - type: recall_at_5
+      value: 80.5
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: 421605374b29664c5fc098418fe20ada9bd55f8a
+    metrics:
+    - type: accuracy
+      value: 54.52096960369373
+    - type: f1
+      value: 40.930845295808695
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
+    metrics:
+    - type: accuracy
+      value: 86.51031894934334
+    - type: ap
+      value: 55.9516014323483
+    - type: f1
+      value: 81.54813679326381
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.67437838574276
+    - type: cos_sim_spearman
+      value: 73.81314174653045
+    - type: euclidean_pearson
+      value: 72.63430276680275
+    - type: euclidean_spearman
+      value: 73.81358736777001
+    - type: manhattan_pearson
+      value: 72.58743833842829
+    - type: manhattan_spearman
+      value: 73.7590419009179
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 31.648613483640254
+    - type: mrr
+      value: 30.37420634920635
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
+    metrics:
+    - type: map_at_1
+      value: 73.28099999999999
+    - type: map_at_10
+      value: 81.977
+    - type: map_at_100
+      value: 82.222
+    - type: map_at_1000
+      value: 82.22699999999999
+    - type: map_at_3
+      value: 80.441
+    - type: map_at_5
+      value: 81.46600000000001
+    - type: mrr_at_1
+      value: 75.673
+    - type: mrr_at_10
+      value: 82.41000000000001
+    - type: mrr_at_100
+      value: 82.616
+    - type: mrr_at_1000
+      value: 82.621
+    - type: mrr_at_3
+      value: 81.094
+    - type: mrr_at_5
+      value: 81.962
+    - type: ndcg_at_1
+      value: 75.673
+    - type: ndcg_at_10
+      value: 85.15599999999999
+    - type: ndcg_at_100
+      value: 86.151
+    - type: ndcg_at_1000
+      value: 86.26899999999999
+    - type: ndcg_at_3
+      value: 82.304
+    - type: ndcg_at_5
+      value: 84.009
+    - type: precision_at_1
+      value: 75.673
+    - type: precision_at_10
+      value: 10.042
+    - type: precision_at_100
+      value: 1.052
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 30.673000000000002
+    - type: precision_at_5
+      value: 19.326999999999998
+    - type: recall_at_1
+      value: 73.28099999999999
+    - type: recall_at_10
+      value: 94.446
+    - type: recall_at_100
+      value: 98.737
+    - type: recall_at_1000
+      value: 99.649
+    - type: recall_at_3
+      value: 86.984
+    - type: recall_at_5
+      value: 91.024
+  - 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: 81.08607935440484
+    - type: f1
+      value: 78.24879986066307
+  - 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: 86.05917955615332
+    - type: f1
+      value: 85.05279279434997
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
+    metrics:
+    - type: map_at_1
+      value: 56.2
+    - type: map_at_10
+      value: 62.57899999999999
+    - type: map_at_100
+      value: 63.154999999999994
+    - type: map_at_1000
+      value: 63.193
+    - type: map_at_3
+      value: 61.217
+    - type: map_at_5
+      value: 62.012
+    - type: mrr_at_1
+      value: 56.3
+    - type: mrr_at_10
+      value: 62.629000000000005
+    - type: mrr_at_100
+      value: 63.205999999999996
+    - type: mrr_at_1000
+      value: 63.244
+    - type: mrr_at_3
+      value: 61.267
+    - type: mrr_at_5
+      value: 62.062
+    - type: ndcg_at_1
+      value: 56.2
+    - type: ndcg_at_10
+      value: 65.592
+    - type: ndcg_at_100
+      value: 68.657
+    - type: ndcg_at_1000
+      value: 69.671
+    - type: ndcg_at_3
+      value: 62.808
+    - type: ndcg_at_5
+      value: 64.24499999999999
+    - type: precision_at_1
+      value: 56.2
+    - type: precision_at_10
+      value: 7.5
+    - type: precision_at_100
+      value: 0.899
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 22.467000000000002
+    - type: precision_at_5
+      value: 14.180000000000001
+    - type: recall_at_1
+      value: 56.2
+    - type: recall_at_10
+      value: 75.0
+    - type: recall_at_100
+      value: 89.9
+    - type: recall_at_1000
+      value: 97.89999999999999
+    - type: recall_at_3
+      value: 67.4
+    - type: recall_at_5
+      value: 70.89999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
+    metrics:
+    - type: accuracy
+      value: 76.87666666666667
+    - type: f1
+      value: 76.7317686219665
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: 66e76a618a34d6d565d5538088562851e6daa7ec
+    metrics:
+    - type: cos_sim_accuracy
+      value: 79.64266377910124
+    - type: cos_sim_ap
+      value: 84.78274442344829
+    - type: cos_sim_f1
+      value: 81.16947472745292
+    - type: cos_sim_precision
+      value: 76.47058823529412
+    - type: cos_sim_recall
+      value: 86.48363252375924
+    - type: dot_accuracy
+      value: 79.64266377910124
+    - type: dot_ap
+      value: 84.7851404063692
+    - type: dot_f1
+      value: 81.16947472745292
+    - type: dot_precision
+      value: 76.47058823529412
+    - type: dot_recall
+      value: 86.48363252375924
+    - type: euclidean_accuracy
+      value: 79.64266377910124
+    - type: euclidean_ap
+      value: 84.78068373762378
+    - type: euclidean_f1
+      value: 81.14794656110837
+    - type: euclidean_precision
+      value: 76.35009310986965
+    - type: euclidean_recall
+      value: 86.58922914466737
+    - type: manhattan_accuracy
+      value: 79.48023822414727
+    - type: manhattan_ap
+      value: 84.72928897427576
+    - type: manhattan_f1
+      value: 81.32084770823064
+    - type: manhattan_precision
+      value: 76.24768946395564
+    - type: manhattan_recall
+      value: 87.11721224920802
+    - type: max_accuracy
+      value: 79.64266377910124
+    - type: max_ap
+      value: 84.7851404063692
+    - type: max_f1
+      value: 81.32084770823064
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: e610f2ebd179a8fda30ae534c3878750a96db120
+    metrics:
+    - type: accuracy
+      value: 94.3
+    - type: ap
+      value: 92.8664032274438
+    - type: f1
+      value: 94.29311102997727
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
+    metrics:
+    - type: cos_sim_pearson
+      value: 48.51392279882909
+    - type: cos_sim_spearman
+      value: 54.06338895994974
+    - type: euclidean_pearson
+      value: 52.58480559573412
+    - type: euclidean_spearman
+      value: 54.06417276612201
+    - type: manhattan_pearson
+      value: 52.69525121721343
+    - type: manhattan_spearman
+      value: 54.048147455389675
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.728387290757325
+    - type: cos_sim_spearman
+      value: 31.366121633635284
+    - type: euclidean_pearson
+      value: 29.14588368552961
+    - type: euclidean_spearman
+      value: 31.36764411112844
+    - type: manhattan_pearson
+      value: 29.63517350523121
+    - type: manhattan_spearman
+      value: 31.94157020583762
+  - 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: 63.64868296271406
+    - type: cos_sim_spearman
+      value: 66.12800618164744
+    - type: euclidean_pearson
+      value: 63.21405767340238
+    - type: euclidean_spearman
+      value: 66.12786567790748
+    - type: manhattan_pearson
+      value: 64.04300276525848
+    - type: manhattan_spearman
+      value: 66.5066857145652
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.2302623912794
+    - type: cos_sim_spearman
+      value: 81.16833673266562
+    - type: euclidean_pearson
+      value: 79.47647843876024
+    - type: euclidean_spearman
+      value: 81.16944349524972
+    - type: manhattan_pearson
+      value: 79.84947238492208
+    - type: manhattan_spearman
+      value: 81.64626599410026
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: 76631901a18387f85eaa53e5450019b87ad58ef9
+    metrics:
+    - type: map
+      value: 67.80129586475687
+    - type: mrr
+      value: 77.77402311635554
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: 8731a845f1bf500a4f111cf1070785c793d10e64
+    metrics:
+    - type: map_at_1
+      value: 28.666999999999998
+    - type: map_at_10
+      value: 81.063
+    - type: map_at_100
+      value: 84.504
+    - type: map_at_1000
+      value: 84.552
+    - type: map_at_3
+      value: 56.897
+    - type: map_at_5
+      value: 70.073
+    - type: mrr_at_1
+      value: 92.087
+    - type: mrr_at_10
+      value: 94.132
+    - type: mrr_at_100
+      value: 94.19800000000001
+    - type: mrr_at_1000
+      value: 94.19999999999999
+    - type: mrr_at_3
+      value: 93.78999999999999
+    - type: mrr_at_5
+      value: 94.002
+    - type: ndcg_at_1
+      value: 92.087
+    - type: ndcg_at_10
+      value: 87.734
+    - type: ndcg_at_100
+      value: 90.736
+    - type: ndcg_at_1000
+      value: 91.184
+    - type: ndcg_at_3
+      value: 88.78
+    - type: ndcg_at_5
+      value: 87.676
+    - type: precision_at_1
+      value: 92.087
+    - type: precision_at_10
+      value: 43.46
+    - type: precision_at_100
+      value: 5.07
+    - type: precision_at_1000
+      value: 0.518
+    - type: precision_at_3
+      value: 77.49000000000001
+    - type: precision_at_5
+      value: 65.194
+    - type: recall_at_1
+      value: 28.666999999999998
+    - type: recall_at_10
+      value: 86.632
+    - type: recall_at_100
+      value: 96.646
+    - type: recall_at_1000
+      value: 98.917
+    - type: recall_at_3
+      value: 58.333999999999996
+    - type: recall_at_5
+      value: 72.974
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
+    metrics:
+    - type: accuracy
+      value: 52.971999999999994
+    - type: f1
+      value: 50.2898280984929
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: 5798586b105c0434e4f0fe5e767abe619442cf93
+    metrics:
+    - type: v_measure
+      value: 86.0797948663824
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
+    metrics:
+    - type: v_measure
+      value: 85.10759092255017
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
+    metrics:
+    - type: map_at_1
+      value: 65.60000000000001
+    - type: map_at_10
+      value: 74.773
+    - type: map_at_100
+      value: 75.128
+    - type: map_at_1000
+      value: 75.136
+    - type: map_at_3
+      value: 73.05
+    - type: map_at_5
+      value: 74.13499999999999
+    - type: mrr_at_1
+      value: 65.60000000000001
+    - type: mrr_at_10
+      value: 74.773
+    - type: mrr_at_100
+      value: 75.128
+    - type: mrr_at_1000
+      value: 75.136
+    - type: mrr_at_3
+      value: 73.05
+    - type: mrr_at_5
+      value: 74.13499999999999
+    - type: ndcg_at_1
+      value: 65.60000000000001
+    - type: ndcg_at_10
+      value: 78.84299999999999
+    - type: ndcg_at_100
+      value: 80.40899999999999
+    - type: ndcg_at_1000
+      value: 80.57
+    - type: ndcg_at_3
+      value: 75.40599999999999
+    - type: ndcg_at_5
+      value: 77.351
+    - type: precision_at_1
+      value: 65.60000000000001
+    - type: precision_at_10
+      value: 9.139999999999999
+    - type: precision_at_100
+      value: 0.984
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 27.400000000000002
+    - type: precision_at_5
+      value: 17.380000000000003
+    - type: recall_at_1
+      value: 65.60000000000001
+    - type: recall_at_10
+      value: 91.4
+    - type: recall_at_100
+      value: 98.4
+    - type: recall_at_1000
+      value: 99.6
+    - type: recall_at_3
+      value: 82.19999999999999
+    - type: recall_at_5
+      value: 86.9
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: 339287def212450dcaa9df8c22bf93e9980c7023
+    metrics:
+    - type: accuracy
+      value: 89.47
+    - type: ap
+      value: 75.59561751845389
+    - type: f1
+      value: 87.95207751382563
 ---
 
 ## gte-Qwen2-7B-instruct