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+---
+tags:
+- mteb
+model-index:
+- name: pythia-14m_mean
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 70.73134328358208
+    - type: ap
+      value: 32.35996836729783
+    - type: f1
+      value: 64.2137087561157
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (de)
+      config: de
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 62.291220556745174
+    - type: ap
+      value: 76.5427302441011
+    - type: f1
+      value: 60.37703210343267
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en-ext)
+      config: en-ext
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 67.57871064467767
+    - type: ap
+      value: 17.03033311712744
+    - type: f1
+      value: 54.821750631894986
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (ja)
+      config: ja
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 62.51605995717344
+    - type: ap
+      value: 14.367489440317666
+    - type: f1
+      value: 50.48473578289779
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 29.172000000000004
+    - type: f1
+      value: 28.264998641170465
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (de)
+      config: de
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 25.157999999999998
+    - type: f1
+      value: 23.033533062569987
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (es)
+      config: es
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 26.840000000000003
+    - type: f1
+      value: 25.693413738086402
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (fr)
+      config: fr
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 26.491999999999997
+    - type: f1
+      value: 25.6252880863665
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (ja)
+      config: ja
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 24.448000000000004
+    - type: f1
+      value: 23.86460242225935
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 26.412000000000003
+    - type: f1
+      value: 25.779710231390755
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.761
+    - type: map_at_10
+      value: 10.267
+    - type: map_at_100
+      value: 11.065999999999999
+    - type: map_at_1000
+      value: 11.16
+    - type: map_at_3
+      value: 8.642
+    - type: map_at_5
+      value: 9.474
+    - type: mrr_at_1
+      value: 6.046
+    - type: mrr_at_10
+      value: 10.365
+    - type: mrr_at_100
+      value: 11.178
+    - type: mrr_at_1000
+      value: 11.272
+    - type: mrr_at_3
+      value: 8.713
+    - type: mrr_at_5
+      value: 9.587
+    - type: ndcg_at_1
+      value: 5.761
+    - type: ndcg_at_10
+      value: 13.055
+    - type: ndcg_at_100
+      value: 17.526
+    - type: ndcg_at_1000
+      value: 20.578
+    - type: ndcg_at_3
+      value: 9.616
+    - type: ndcg_at_5
+      value: 11.128
+    - type: precision_at_1
+      value: 5.761
+    - type: precision_at_10
+      value: 2.212
+    - type: precision_at_100
+      value: 0.44400000000000006
+    - type: precision_at_1000
+      value: 0.06999999999999999
+    - type: precision_at_3
+      value: 4.149
+    - type: precision_at_5
+      value: 3.229
+    - type: recall_at_1
+      value: 5.761
+    - type: recall_at_10
+      value: 22.119
+    - type: recall_at_100
+      value: 44.381
+    - type: recall_at_1000
+      value: 69.70100000000001
+    - type: recall_at_3
+      value: 12.447
+    - type: recall_at_5
+      value: 16.145
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 13.902183567893395
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 47.93210378051478
+    - type: mrr
+      value: 60.70318339708921
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 49.57650220181508
+    - type: cos_sim_spearman
+      value: 51.842145113866636
+    - type: euclidean_pearson
+      value: 41.2188173176347
+    - type: euclidean_spearman
+      value: 41.16840792962046
+    - type: manhattan_pearson
+      value: 42.73893519020435
+    - type: manhattan_spearman
+      value: 44.384746276312534
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 46.03896103896104
+    - type: f1
+      value: 44.54083818845286
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 23.113393015706908
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 12.624675113307488
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.105
+    - type: map_at_10
+      value: 13.364
+    - type: map_at_100
+      value: 13.987
+    - type: map_at_1000
+      value: 14.08
+    - type: map_at_3
+      value: 12.447
+    - type: map_at_5
+      value: 12.992999999999999
+    - type: mrr_at_1
+      value: 12.876000000000001
+    - type: mrr_at_10
+      value: 16.252
+    - type: mrr_at_100
+      value: 16.926
+    - type: mrr_at_1000
+      value: 17.004
+    - type: mrr_at_3
+      value: 15.235999999999999
+    - type: mrr_at_5
+      value: 15.744
+    - type: ndcg_at_1
+      value: 12.876000000000001
+    - type: ndcg_at_10
+      value: 15.634999999999998
+    - type: ndcg_at_100
+      value: 19.173000000000002
+    - type: ndcg_at_1000
+      value: 22.168
+    - type: ndcg_at_3
+      value: 14.116999999999999
+    - type: ndcg_at_5
+      value: 14.767
+    - type: precision_at_1
+      value: 12.876000000000001
+    - type: precision_at_10
+      value: 2.761
+    - type: precision_at_100
+      value: 0.5579999999999999
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 6.676
+    - type: precision_at_5
+      value: 4.635
+    - type: recall_at_1
+      value: 10.105
+    - type: recall_at_10
+      value: 19.767000000000003
+    - type: recall_at_100
+      value: 36.448
+    - type: recall_at_1000
+      value: 58.623000000000005
+    - type: recall_at_3
+      value: 15.087
+    - type: recall_at_5
+      value: 17.076
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.249999999999999
+    - type: map_at_10
+      value: 9.41
+    - type: map_at_100
+      value: 9.903
+    - type: map_at_1000
+      value: 9.993
+    - type: map_at_3
+      value: 8.693
+    - type: map_at_5
+      value: 9.052
+    - type: mrr_at_1
+      value: 9.299
+    - type: mrr_at_10
+      value: 11.907
+    - type: mrr_at_100
+      value: 12.424
+    - type: mrr_at_1000
+      value: 12.503
+    - type: mrr_at_3
+      value: 10.945
+    - type: mrr_at_5
+      value: 11.413
+    - type: ndcg_at_1
+      value: 9.299
+    - type: ndcg_at_10
+      value: 11.278
+    - type: ndcg_at_100
+      value: 13.904
+    - type: ndcg_at_1000
+      value: 16.642000000000003
+    - type: ndcg_at_3
+      value: 9.956
+    - type: ndcg_at_5
+      value: 10.488
+    - type: precision_at_1
+      value: 9.299
+    - type: precision_at_10
+      value: 2.166
+    - type: precision_at_100
+      value: 0.45399999999999996
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_3
+      value: 4.798
+    - type: precision_at_5
+      value: 3.427
+    - type: recall_at_1
+      value: 7.249999999999999
+    - type: recall_at_10
+      value: 14.285
+    - type: recall_at_100
+      value: 26.588
+    - type: recall_at_1000
+      value: 46.488
+    - type: recall_at_3
+      value: 10.309
+    - type: recall_at_5
+      value: 11.756
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.57
+    - type: map_at_10
+      value: 15.497
+    - type: map_at_100
+      value: 16.036
+    - type: map_at_1000
+      value: 16.122
+    - type: map_at_3
+      value: 14.309
+    - type: map_at_5
+      value: 14.895
+    - type: mrr_at_1
+      value: 13.354
+    - type: mrr_at_10
+      value: 17.408
+    - type: mrr_at_100
+      value: 17.936
+    - type: mrr_at_1000
+      value: 18.015
+    - type: mrr_at_3
+      value: 16.123
+    - type: mrr_at_5
+      value: 16.735
+    - type: ndcg_at_1
+      value: 13.354
+    - type: ndcg_at_10
+      value: 18.071
+    - type: ndcg_at_100
+      value: 21.017
+    - type: ndcg_at_1000
+      value: 23.669999999999998
+    - type: ndcg_at_3
+      value: 15.644
+    - type: ndcg_at_5
+      value: 16.618
+    - type: precision_at_1
+      value: 13.354
+    - type: precision_at_10
+      value: 2.94
+    - type: precision_at_100
+      value: 0.481
+    - type: precision_at_1000
+      value: 0.076
+    - type: precision_at_3
+      value: 7.001
+    - type: precision_at_5
+      value: 4.765
+    - type: recall_at_1
+      value: 11.57
+    - type: recall_at_10
+      value: 24.147
+    - type: recall_at_100
+      value: 38.045
+    - type: recall_at_1000
+      value: 58.648
+    - type: recall_at_3
+      value: 17.419999999999998
+    - type: recall_at_5
+      value: 19.875999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.463
+    - type: map_at_10
+      value: 6.091
+    - type: map_at_100
+      value: 6.548
+    - type: map_at_1000
+      value: 6.622
+    - type: map_at_3
+      value: 5.461
+    - type: map_at_5
+      value: 5.768
+    - type: mrr_at_1
+      value: 4.746
+    - type: mrr_at_10
+      value: 6.431000000000001
+    - type: mrr_at_100
+      value: 6.941
+    - type: mrr_at_1000
+      value: 7.016
+    - type: mrr_at_3
+      value: 5.763
+    - type: mrr_at_5
+      value: 6.101999999999999
+    - type: ndcg_at_1
+      value: 4.746
+    - type: ndcg_at_10
+      value: 7.19
+    - type: ndcg_at_100
+      value: 9.604
+    - type: ndcg_at_1000
+      value: 12.086
+    - type: ndcg_at_3
+      value: 5.88
+    - type: ndcg_at_5
+      value: 6.429
+    - type: precision_at_1
+      value: 4.746
+    - type: precision_at_10
+      value: 1.141
+    - type: precision_at_100
+      value: 0.249
+    - type: precision_at_1000
+      value: 0.049
+    - type: precision_at_3
+      value: 2.448
+    - type: precision_at_5
+      value: 1.7850000000000001
+    - type: recall_at_1
+      value: 4.463
+    - type: recall_at_10
+      value: 10.33
+    - type: recall_at_100
+      value: 21.578
+    - type: recall_at_1000
+      value: 41.404
+    - type: recall_at_3
+      value: 6.816999999999999
+    - type: recall_at_5
+      value: 8.06
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.521
+    - type: map_at_10
+      value: 2.439
+    - type: map_at_100
+      value: 2.785
+    - type: map_at_1000
+      value: 2.858
+    - type: map_at_3
+      value: 2.091
+    - type: map_at_5
+      value: 2.2560000000000002
+    - type: mrr_at_1
+      value: 2.114
+    - type: mrr_at_10
+      value: 3.216
+    - type: mrr_at_100
+      value: 3.6319999999999997
+    - type: mrr_at_1000
+      value: 3.712
+    - type: mrr_at_3
+      value: 2.778
+    - type: mrr_at_5
+      value: 2.971
+    - type: ndcg_at_1
+      value: 2.114
+    - type: ndcg_at_10
+      value: 3.1910000000000003
+    - type: ndcg_at_100
+      value: 5.165
+    - type: ndcg_at_1000
+      value: 7.607
+    - type: ndcg_at_3
+      value: 2.456
+    - type: ndcg_at_5
+      value: 2.7439999999999998
+    - type: precision_at_1
+      value: 2.114
+    - type: precision_at_10
+      value: 0.634
+    - type: precision_at_100
+      value: 0.189
+    - type: precision_at_1000
+      value: 0.049
+    - type: precision_at_3
+      value: 1.202
+    - type: precision_at_5
+      value: 0.8959999999999999
+    - type: recall_at_1
+      value: 1.521
+    - type: recall_at_10
+      value: 4.8
+    - type: recall_at_100
+      value: 13.877
+    - type: recall_at_1000
+      value: 32.1
+    - type: recall_at_3
+      value: 2.806
+    - type: recall_at_5
+      value: 3.5520000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.449999999999999
+    - type: map_at_10
+      value: 10.065
+    - type: map_at_100
+      value: 10.507
+    - type: map_at_1000
+      value: 10.599
+    - type: map_at_3
+      value: 9.017
+    - type: map_at_5
+      value: 9.603
+    - type: mrr_at_1
+      value: 9.336
+    - type: mrr_at_10
+      value: 12.589
+    - type: mrr_at_100
+      value: 13.086
+    - type: mrr_at_1000
+      value: 13.161000000000001
+    - type: mrr_at_3
+      value: 11.373
+    - type: mrr_at_5
+      value: 12.084999999999999
+    - type: ndcg_at_1
+      value: 9.336
+    - type: ndcg_at_10
+      value: 12.299
+    - type: ndcg_at_100
+      value: 14.780999999999999
+    - type: ndcg_at_1000
+      value: 17.632
+    - type: ndcg_at_3
+      value: 10.302
+    - type: ndcg_at_5
+      value: 11.247
+    - type: precision_at_1
+      value: 9.336
+    - type: precision_at_10
+      value: 2.271
+    - type: precision_at_100
+      value: 0.42300000000000004
+    - type: precision_at_1000
+      value: 0.08099999999999999
+    - type: precision_at_3
+      value: 4.909
+    - type: precision_at_5
+      value: 3.5999999999999996
+    - type: recall_at_1
+      value: 7.449999999999999
+    - type: recall_at_10
+      value: 16.891000000000002
+    - type: recall_at_100
+      value: 28.050000000000004
+    - type: recall_at_1000
+      value: 49.267
+    - type: recall_at_3
+      value: 11.187999999999999
+    - type: recall_at_5
+      value: 13.587
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.734
+    - type: map_at_10
+      value: 7.045999999999999
+    - type: map_at_100
+      value: 7.564
+    - type: map_at_1000
+      value: 7.6499999999999995
+    - type: map_at_3
+      value: 6.21
+    - type: map_at_5
+      value: 6.617000000000001
+    - type: mrr_at_1
+      value: 5.936
+    - type: mrr_at_10
+      value: 8.624
+    - type: mrr_at_100
+      value: 9.193
+    - type: mrr_at_1000
+      value: 9.28
+    - type: mrr_at_3
+      value: 7.725
+    - type: mrr_at_5
+      value: 8.147
+    - type: ndcg_at_1
+      value: 5.936
+    - type: ndcg_at_10
+      value: 8.81
+    - type: ndcg_at_100
+      value: 11.694
+    - type: ndcg_at_1000
+      value: 14.526
+    - type: ndcg_at_3
+      value: 7.140000000000001
+    - type: ndcg_at_5
+      value: 7.8020000000000005
+    - type: precision_at_1
+      value: 5.936
+    - type: precision_at_10
+      value: 1.701
+    - type: precision_at_100
+      value: 0.366
+    - type: precision_at_1000
+      value: 0.07200000000000001
+    - type: precision_at_3
+      value: 3.463
+    - type: precision_at_5
+      value: 2.557
+    - type: recall_at_1
+      value: 4.734
+    - type: recall_at_10
+      value: 12.733
+    - type: recall_at_100
+      value: 25.982
+    - type: recall_at_1000
+      value: 47.233999999999995
+    - type: recall_at_3
+      value: 8.018
+    - type: recall_at_5
+      value: 9.762
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.293
+    - type: map_at_10
+      value: 6.146999999999999
+    - type: map_at_100
+      value: 6.487
+    - type: map_at_1000
+      value: 6.544999999999999
+    - type: map_at_3
+      value: 5.6930000000000005
+    - type: map_at_5
+      value: 5.869
+    - type: mrr_at_1
+      value: 5.061
+    - type: mrr_at_10
+      value: 7.1690000000000005
+    - type: mrr_at_100
+      value: 7.542
+    - type: mrr_at_1000
+      value: 7.5969999999999995
+    - type: mrr_at_3
+      value: 6.646000000000001
+    - type: mrr_at_5
+      value: 6.8229999999999995
+    - type: ndcg_at_1
+      value: 5.061
+    - type: ndcg_at_10
+      value: 7.396
+    - type: ndcg_at_100
+      value: 9.41
+    - type: ndcg_at_1000
+      value: 11.386000000000001
+    - type: ndcg_at_3
+      value: 6.454
+    - type: ndcg_at_5
+      value: 6.718
+    - type: precision_at_1
+      value: 5.061
+    - type: precision_at_10
+      value: 1.319
+    - type: precision_at_100
+      value: 0.262
+    - type: precision_at_1000
+      value: 0.047
+    - type: precision_at_3
+      value: 3.0669999999999997
+    - type: precision_at_5
+      value: 1.994
+    - type: recall_at_1
+      value: 4.293
+    - type: recall_at_10
+      value: 10.221
+    - type: recall_at_100
+      value: 19.744999999999997
+    - type: recall_at_1000
+      value: 35.399
+    - type: recall_at_3
+      value: 7.507999999999999
+    - type: recall_at_5
+      value: 8.275
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.519
+    - type: map_at_10
+      value: 4.768
+    - type: map_at_100
+      value: 5.034000000000001
+    - type: map_at_1000
+      value: 5.087
+    - type: map_at_3
+      value: 4.308
+    - type: map_at_5
+      value: 4.565
+    - type: mrr_at_1
+      value: 4.474
+    - type: mrr_at_10
+      value: 6.045
+    - type: mrr_at_100
+      value: 6.361999999999999
+    - type: mrr_at_1000
+      value: 6.417000000000001
+    - type: mrr_at_3
+      value: 5.483
+    - type: mrr_at_5
+      value: 5.81
+    - type: ndcg_at_1
+      value: 4.474
+    - type: ndcg_at_10
+      value: 5.799
+    - type: ndcg_at_100
+      value: 7.344
+    - type: ndcg_at_1000
+      value: 9.141
+    - type: ndcg_at_3
+      value: 4.893
+    - type: ndcg_at_5
+      value: 5.309
+    - type: precision_at_1
+      value: 4.474
+    - type: precision_at_10
+      value: 1.06
+    - type: precision_at_100
+      value: 0.217
+    - type: precision_at_1000
+      value: 0.045
+    - type: precision_at_3
+      value: 2.306
+    - type: precision_at_5
+      value: 1.7000000000000002
+    - type: recall_at_1
+      value: 3.519
+    - type: recall_at_10
+      value: 7.75
+    - type: recall_at_100
+      value: 15.049999999999999
+    - type: recall_at_1000
+      value: 28.779
+    - type: recall_at_3
+      value: 5.18
+    - type: recall_at_5
+      value: 6.245
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.098
+    - type: map_at_10
+      value: 7.918
+    - type: map_at_100
+      value: 8.229000000000001
+    - type: map_at_1000
+      value: 8.293000000000001
+    - type: map_at_3
+      value: 7.138999999999999
+    - type: map_at_5
+      value: 7.646
+    - type: mrr_at_1
+      value: 7.090000000000001
+    - type: mrr_at_10
+      value: 9.293
+    - type: mrr_at_100
+      value: 9.669
+    - type: mrr_at_1000
+      value: 9.734
+    - type: mrr_at_3
+      value: 8.364
+    - type: mrr_at_5
+      value: 8.956999999999999
+    - type: ndcg_at_1
+      value: 7.090000000000001
+    - type: ndcg_at_10
+      value: 9.411999999999999
+    - type: ndcg_at_100
+      value: 11.318999999999999
+    - type: ndcg_at_1000
+      value: 13.478000000000002
+    - type: ndcg_at_3
+      value: 7.837
+    - type: ndcg_at_5
+      value: 8.73
+    - type: precision_at_1
+      value: 7.090000000000001
+    - type: precision_at_10
+      value: 1.558
+    - type: precision_at_100
+      value: 0.28400000000000003
+    - type: precision_at_1000
+      value: 0.053
+    - type: precision_at_3
+      value: 3.42
+    - type: precision_at_5
+      value: 2.5749999999999997
+    - type: recall_at_1
+      value: 6.098
+    - type: recall_at_10
+      value: 12.764000000000001
+    - type: recall_at_100
+      value: 21.747
+    - type: recall_at_1000
+      value: 38.279999999999994
+    - type: recall_at_3
+      value: 8.476
+    - type: recall_at_5
+      value: 10.707
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.607
+    - type: map_at_10
+      value: 10.835
+    - type: map_at_100
+      value: 11.285
+    - type: map_at_1000
+      value: 11.383000000000001
+    - type: map_at_3
+      value: 10.111
+    - type: map_at_5
+      value: 10.334999999999999
+    - type: mrr_at_1
+      value: 10.671999999999999
+    - type: mrr_at_10
+      value: 13.269
+    - type: mrr_at_100
+      value: 13.729
+    - type: mrr_at_1000
+      value: 13.813
+    - type: mrr_at_3
+      value: 12.385
+    - type: mrr_at_5
+      value: 12.701
+    - type: ndcg_at_1
+      value: 10.671999999999999
+    - type: ndcg_at_10
+      value: 12.728
+    - type: ndcg_at_100
+      value: 15.312999999999999
+    - type: ndcg_at_1000
+      value: 18.160999999999998
+    - type: ndcg_at_3
+      value: 11.355
+    - type: ndcg_at_5
+      value: 11.605
+    - type: precision_at_1
+      value: 10.671999999999999
+    - type: precision_at_10
+      value: 2.154
+    - type: precision_at_100
+      value: 0.455
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 4.941
+    - type: precision_at_5
+      value: 3.2809999999999997
+    - type: recall_at_1
+      value: 8.607
+    - type: recall_at_10
+      value: 16.398
+    - type: recall_at_100
+      value: 28.92
+    - type: recall_at_1000
+      value: 49.761
+    - type: recall_at_3
+      value: 11.844000000000001
+    - type: recall_at_5
+      value: 12.792
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.826
+    - type: map_at_10
+      value: 5.6419999999999995
+    - type: map_at_100
+      value: 5.943
+    - type: map_at_1000
+      value: 6.005
+    - type: map_at_3
+      value: 5.1049999999999995
+    - type: map_at_5
+      value: 5.437
+    - type: mrr_at_1
+      value: 4.436
+    - type: mrr_at_10
+      value: 6.413
+    - type: mrr_at_100
+      value: 6.752
+    - type: mrr_at_1000
+      value: 6.819999999999999
+    - type: mrr_at_3
+      value: 5.884
+    - type: mrr_at_5
+      value: 6.18
+    - type: ndcg_at_1
+      value: 4.436
+    - type: ndcg_at_10
+      value: 6.7989999999999995
+    - type: ndcg_at_100
+      value: 8.619
+    - type: ndcg_at_1000
+      value: 10.842
+    - type: ndcg_at_3
+      value: 5.739
+    - type: ndcg_at_5
+      value: 6.292000000000001
+    - type: precision_at_1
+      value: 4.436
+    - type: precision_at_10
+      value: 1.109
+    - type: precision_at_100
+      value: 0.214
+    - type: precision_at_1000
+      value: 0.043
+    - type: precision_at_3
+      value: 2.588
+    - type: precision_at_5
+      value: 1.848
+    - type: recall_at_1
+      value: 3.826
+    - type: recall_at_10
+      value: 9.655
+    - type: recall_at_100
+      value: 18.611
+    - type: recall_at_1000
+      value: 36.733
+    - type: recall_at_3
+      value: 6.784
+    - type: recall_at_5
+      value: 8.17
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 23.279999999999998
+    - type: f1
+      value: 19.87865985032945
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.166
+    - type: map_at_10
+      value: 2.283
+    - type: map_at_100
+      value: 2.564
+    - type: map_at_1000
+      value: 2.6519999999999997
+    - type: map_at_3
+      value: 1.867
+    - type: map_at_5
+      value: 2.0500000000000003
+    - type: mrr_at_1
+      value: 2.932
+    - type: mrr_at_10
+      value: 4.852
+    - type: mrr_at_100
+      value: 5.306
+    - type: mrr_at_1000
+      value: 5.4
+    - type: mrr_at_3
+      value: 4.141
+    - type: mrr_at_5
+      value: 4.457
+    - type: ndcg_at_1
+      value: 2.932
+    - type: ndcg_at_10
+      value: 3.5709999999999997
+    - type: ndcg_at_100
+      value: 5.489
+    - type: ndcg_at_1000
+      value: 8.309999999999999
+    - type: ndcg_at_3
+      value: 2.773
+    - type: ndcg_at_5
+      value: 2.979
+    - type: precision_at_1
+      value: 2.932
+    - type: precision_at_10
+      value: 1.049
+    - type: precision_at_100
+      value: 0.306
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_3
+      value: 1.8519999999999999
+    - type: precision_at_5
+      value: 1.389
+    - type: recall_at_1
+      value: 1.166
+    - type: recall_at_10
+      value: 5.178
+    - type: recall_at_100
+      value: 13.056999999999999
+    - type: recall_at_1000
+      value: 31.708
+    - type: recall_at_3
+      value: 2.714
+    - type: recall_at_5
+      value: 3.4909999999999997
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 56.96359999999999
+    - type: ap
+      value: 54.16760114570921
+    - type: f1
+      value: 56.193845361069116
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 64.39808481532147
+    - type: f1
+      value: 63.468270818712625
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (de)
+      config: de
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 53.961679346294744
+    - type: f1
+      value: 51.6707117653683
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (es)
+      config: es
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 57.018012008005336
+    - type: f1
+      value: 54.23413458037234
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (fr)
+      config: fr
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 48.84434700908236
+    - type: f1
+      value: 46.48494180527987
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (hi)
+      config: hi
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 39.7669415561133
+    - type: f1
+      value: 35.50974325529877
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (th)
+      config: th
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 42.589511754068724
+    - type: f1
+      value: 40.47244422785889
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 34.01276789785682
+    - type: f1
+      value: 21.256775922291286
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (de)
+      config: de
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 33.285432516201745
+    - type: f1
+      value: 19.841703666811565
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (es)
+      config: es
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 32.121414276184126
+    - type: f1
+      value: 19.34706868150749
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (fr)
+      config: fr
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 26.088318196053866
+    - type: f1
+      value: 17.22608011891254
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (hi)
+      config: hi
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 15.320903549659375
+    - type: f1
+      value: 9.62002916015258
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (th)
+      config: th
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 16.426763110307412
+    - type: f1
+      value: 11.023799171137183
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 22.08508717069763
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 16.58582885790446
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.2
+    - type: map_at_10
+      value: 1.6400000000000001
+    - type: map_at_100
+      value: 1.9789999999999999
+    - type: map_at_1000
+      value: 2.554
+    - type: map_at_3
+      value: 1.4449999999999998
+    - type: map_at_5
+      value: 1.533
+    - type: mrr_at_1
+      value: 6.811
+    - type: mrr_at_10
+      value: 11.068999999999999
+    - type: mrr_at_100
+      value: 12.454
+    - type: mrr_at_1000
+      value: 12.590000000000002
+    - type: mrr_at_3
+      value: 9.751999999999999
+    - type: mrr_at_5
+      value: 10.31
+    - type: ndcg_at_1
+      value: 6.3469999999999995
+    - type: ndcg_at_10
+      value: 4.941
+    - type: ndcg_at_100
+      value: 6.524000000000001
+    - type: ndcg_at_1000
+      value: 15.918
+    - type: ndcg_at_3
+      value: 5.959
+    - type: ndcg_at_5
+      value: 5.395
+    - type: precision_at_1
+      value: 6.811
+    - type: precision_at_10
+      value: 3.375
+    - type: precision_at_100
+      value: 2.0709999999999997
+    - type: precision_at_1000
+      value: 1.313
+    - type: precision_at_3
+      value: 5.47
+    - type: precision_at_5
+      value: 4.396
+    - type: recall_at_1
+      value: 1.2
+    - type: recall_at_10
+      value: 2.5909999999999997
+    - type: recall_at_100
+      value: 9.443999999999999
+    - type: recall_at_1000
+      value: 41.542
+    - type: recall_at_3
+      value: 1.702
+    - type: recall_at_5
+      value: 1.9879999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 45.708
+    - type: map_at_10
+      value: 55.131
+    - type: map_at_100
+      value: 55.935
+    - type: map_at_1000
+      value: 55.993
+    - type: map_at_3
+      value: 52.749
+    - type: map_at_5
+      value: 54.166000000000004
+    - type: mrr_at_1
+      value: 52.44
+    - type: mrr_at_10
+      value: 59.99
+    - type: mrr_at_100
+      value: 60.492999999999995
+    - type: mrr_at_1000
+      value: 60.522
+    - type: mrr_at_3
+      value: 58.285
+    - type: mrr_at_5
+      value: 59.305
+    - type: ndcg_at_1
+      value: 52.43
+    - type: ndcg_at_10
+      value: 59.873
+    - type: ndcg_at_100
+      value: 63.086
+    - type: ndcg_at_1000
+      value: 64.291
+    - type: ndcg_at_3
+      value: 56.291000000000004
+    - type: ndcg_at_5
+      value: 58.071
+    - type: precision_at_1
+      value: 52.43
+    - type: precision_at_10
+      value: 8.973
+    - type: precision_at_100
+      value: 1.161
+    - type: precision_at_1000
+      value: 0.134
+    - type: precision_at_3
+      value: 24.177
+    - type: precision_at_5
+      value: 16.073999999999998
+    - type: recall_at_1
+      value: 45.708
+    - type: recall_at_10
+      value: 69.195
+    - type: recall_at_100
+      value: 82.812
+    - type: recall_at_1000
+      value: 91.136
+    - type: recall_at_3
+      value: 58.938
+    - type: recall_at_5
+      value: 63.787000000000006
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 13.142048230676806
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 26.06687178917052
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.46499999999999997
+    - type: map_at_10
+      value: 0.906
+    - type: map_at_100
+      value: 1.127
+    - type: map_at_1000
+      value: 1.203
+    - type: map_at_3
+      value: 0.72
+    - type: map_at_5
+      value: 0.814
+    - type: mrr_at_1
+      value: 2.3
+    - type: mrr_at_10
+      value: 3.733
+    - type: mrr_at_100
+      value: 4.295999999999999
+    - type: mrr_at_1000
+      value: 4.412
+    - type: mrr_at_3
+      value: 3.183
+    - type: mrr_at_5
+      value: 3.458
+    - type: ndcg_at_1
+      value: 2.3
+    - type: ndcg_at_10
+      value: 1.797
+    - type: ndcg_at_100
+      value: 3.376
+    - type: ndcg_at_1000
+      value: 6.143
+    - type: ndcg_at_3
+      value: 1.763
+    - type: ndcg_at_5
+      value: 1.5070000000000001
+    - type: precision_at_1
+      value: 2.3
+    - type: precision_at_10
+      value: 0.91
+    - type: precision_at_100
+      value: 0.32399999999999995
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 1.633
+    - type: precision_at_5
+      value: 1.3
+    - type: recall_at_1
+      value: 0.46499999999999997
+    - type: recall_at_10
+      value: 1.8499999999999999
+    - type: recall_at_100
+      value: 6.625
+    - type: recall_at_1000
+      value: 20.587
+    - type: recall_at_3
+      value: 0.9900000000000001
+    - type: recall_at_5
+      value: 1.315
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 60.78961481918511
+    - type: cos_sim_spearman
+      value: 54.92014630234372
+    - type: euclidean_pearson
+      value: 54.91456364340953
+    - type: euclidean_spearman
+      value: 50.95537043206628
+    - type: manhattan_pearson
+      value: 55.0450005071106
+    - type: manhattan_spearman
+      value: 51.227579527791654
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 43.73124494569395
+    - type: cos_sim_spearman
+      value: 43.07629933550637
+    - type: euclidean_pearson
+      value: 37.2529484210563
+    - type: euclidean_spearman
+      value: 36.68421330216546
+    - type: manhattan_pearson
+      value: 37.41673219009712
+    - type: manhattan_spearman
+      value: 36.92073705702668
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 57.17534157059787
+    - type: cos_sim_spearman
+      value: 56.86679858348438
+    - type: euclidean_pearson
+      value: 54.51552371857776
+    - type: euclidean_spearman
+      value: 53.80989851917749
+    - type: manhattan_pearson
+      value: 54.44486043632584
+    - type: manhattan_spearman
+      value: 53.83487353949481
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 52.319034960820375
+    - type: cos_sim_spearman
+      value: 50.89512224974754
+    - type: euclidean_pearson
+      value: 49.19308209408045
+    - type: euclidean_spearman
+      value: 47.45736923614355
+    - type: manhattan_pearson
+      value: 48.82127080055118
+    - type: manhattan_spearman
+      value: 47.20185686489298
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 61.57602956458427
+    - type: cos_sim_spearman
+      value: 62.894640061838956
+    - type: euclidean_pearson
+      value: 53.86893407586029
+    - type: euclidean_spearman
+      value: 54.68528520514299
+    - type: manhattan_pearson
+      value: 53.689614981956815
+    - type: manhattan_spearman
+      value: 54.51172839699876
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 56.2305694109318
+    - type: cos_sim_spearman
+      value: 57.885939000786045
+    - type: euclidean_pearson
+      value: 50.486043353701994
+    - type: euclidean_spearman
+      value: 50.4463227974027
+    - type: manhattan_pearson
+      value: 50.73317560427465
+    - type: manhattan_spearman
+      value: 50.81397877006027
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (ko-ko)
+      config: ko-ko
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 55.52162058025664
+    - type: cos_sim_spearman
+      value: 59.02220327783535
+    - type: euclidean_pearson
+      value: 55.66332330866701
+    - type: euclidean_spearman
+      value: 56.829076266662206
+    - type: manhattan_pearson
+      value: 55.39181385186973
+    - type: manhattan_spearman
+      value: 56.607432176121144
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (ar-ar)
+      config: ar-ar
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 46.312186899914906
+    - type: cos_sim_spearman
+      value: 48.07172073934163
+    - type: euclidean_pearson
+      value: 46.957276350776695
+    - type: euclidean_spearman
+      value: 43.98800593212707
+    - type: manhattan_pearson
+      value: 46.910805787619914
+    - type: manhattan_spearman
+      value: 43.96662723946553
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-ar)
+      config: en-ar
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 16.222172523403835
+    - type: cos_sim_spearman
+      value: 17.230258645779042
+    - type: euclidean_pearson
+      value: -6.781460243147299
+    - type: euclidean_spearman
+      value: -6.884123336780775
+    - type: manhattan_pearson
+      value: -4.369061881907372
+    - type: manhattan_spearman
+      value: -4.235845433380353
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-de)
+      config: en-de
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 7.462476431657987
+    - type: cos_sim_spearman
+      value: 5.875270645234161
+    - type: euclidean_pearson
+      value: -10.79494346180473
+    - type: euclidean_spearman
+      value: -11.704529023304776
+    - type: manhattan_pearson
+      value: -11.465867974964997
+    - type: manhattan_spearman
+      value: -12.428424608287173
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 61.46601840758559
+    - type: cos_sim_spearman
+      value: 65.69667638887147
+    - type: euclidean_pearson
+      value: 49.531065525619866
+    - type: euclidean_spearman
+      value: 53.880480167479725
+    - type: manhattan_pearson
+      value: 50.25462221374689
+    - type: manhattan_spearman
+      value: 54.22205494276401
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-tr)
+      config: en-tr
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: -12.769479370624031
+    - type: cos_sim_spearman
+      value: -12.161427312728382
+    - type: euclidean_pearson
+      value: -27.950593491756536
+    - type: euclidean_spearman
+      value: -24.925281959398585
+    - type: manhattan_pearson
+      value: -25.98778888167475
+    - type: manhattan_spearman
+      value: -22.861942388867234
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (es-en)
+      config: es-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 2.1575763564561727
+    - type: cos_sim_spearman
+      value: 1.182204089411577
+    - type: euclidean_pearson
+      value: -10.389249806317189
+    - type: euclidean_spearman
+      value: -16.078659904264605
+    - type: manhattan_pearson
+      value: -9.674301846448607
+    - type: manhattan_spearman
+      value: -16.976576817518577
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (es-es)
+      config: es-es
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 66.16718583059163
+    - type: cos_sim_spearman
+      value: 69.95156267898052
+    - type: euclidean_pearson
+      value: 64.93174777029739
+    - type: euclidean_spearman
+      value: 66.21292533974568
+    - type: manhattan_pearson
+      value: 65.2578109632889
+    - type: manhattan_spearman
+      value: 66.21830865759128
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (fr-en)
+      config: fr-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 0.1540829683540524
+    - type: cos_sim_spearman
+      value: -2.4072834011003987
+    - type: euclidean_pearson
+      value: -18.951775877513473
+    - type: euclidean_spearman
+      value: -18.393605606817527
+    - type: manhattan_pearson
+      value: -19.609633839454542
+    - type: manhattan_spearman
+      value: -19.276064769117912
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (it-en)
+      config: it-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: -4.22497246932717
+    - type: cos_sim_spearman
+      value: -5.747420352346977
+    - type: euclidean_pearson
+      value: -16.86351349130112
+    - type: euclidean_spearman
+      value: -16.555536618547382
+    - type: manhattan_pearson
+      value: -17.45445643482646
+    - type: manhattan_spearman
+      value: -17.97322953856309
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (nl-en)
+      config: nl-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 8.559184021676034
+    - type: cos_sim_spearman
+      value: 5.600273352595882
+    - type: euclidean_pearson
+      value: -10.76482859283058
+    - type: euclidean_spearman
+      value: -9.575202768285926
+    - type: manhattan_pearson
+      value: -9.48508597350615
+    - type: manhattan_spearman
+      value: -9.33387861352172
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.260087169228978
+    - type: cos_sim_spearman
+      value: 43.264174903196015
+    - type: euclidean_pearson
+      value: 35.07785877281954
+    - type: euclidean_spearman
+      value: 43.41294719372452
+    - type: manhattan_pearson
+      value: 36.74996284702431
+    - type: manhattan_spearman
+      value: 43.53522851890142
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (de)
+      config: de
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 5.58694979115026
+    - type: cos_sim_spearman
+      value: 32.80692337371332
+    - type: euclidean_pearson
+      value: 10.53180875461474
+    - type: euclidean_spearman
+      value: 31.105269938654033
+    - type: manhattan_pearson
+      value: 10.559778015974826
+    - type: manhattan_spearman
+      value: 31.452204563072044
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (es)
+      config: es
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 10.593783873928478
+    - type: cos_sim_spearman
+      value: 50.397542574042006
+    - type: euclidean_pearson
+      value: 28.122179063209714
+    - type: euclidean_spearman
+      value: 50.72847867996529
+    - type: manhattan_pearson
+      value: 28.730690148465005
+    - type: manhattan_spearman
+      value: 51.019761292483366
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (pl)
+      config: pl
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: -1.3049499265017876
+    - type: cos_sim_spearman
+      value: 16.347130048706084
+    - type: euclidean_pearson
+      value: 0.5710147274110128
+    - type: euclidean_spearman
+      value: 16.589843077857605
+    - type: manhattan_pearson
+      value: 1.1226404198336415
+    - type: manhattan_spearman
+      value: 16.410620108636557
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (tr)
+      config: tr
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: -10.96861909019159
+    - type: cos_sim_spearman
+      value: 24.536979219880724
+    - type: euclidean_pearson
+      value: -1.3040190807315306
+    - type: euclidean_spearman
+      value: 25.061584673761928
+    - type: manhattan_pearson
+      value: -0.06525719745037804
+    - type: manhattan_spearman
+      value: 25.979295538386893
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (ar)
+      config: ar
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 1.0599417065503314
+    - type: cos_sim_spearman
+      value: 52.055853787103345
+    - type: euclidean_pearson
+      value: 23.666828441081776
+    - type: euclidean_spearman
+      value: 52.38656753170069
+    - type: manhattan_pearson
+      value: 23.398080463967215
+    - type: manhattan_spearman
+      value: 52.23849717509109
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (ru)
+      config: ru
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: -2.847646040977239
+    - type: cos_sim_spearman
+      value: 40.5826838357407
+    - type: euclidean_pearson
+      value: 9.242304983683113
+    - type: euclidean_spearman
+      value: 40.35906851022345
+    - type: manhattan_pearson
+      value: 9.645663412799504
+    - type: manhattan_spearman
+      value: 40.78106154950966
+  - 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: 17.761397832130992
+    - type: cos_sim_spearman
+      value: 59.98756452345925
+    - type: euclidean_pearson
+      value: 37.03125109036693
+    - type: euclidean_spearman
+      value: 59.58469212715707
+    - type: manhattan_pearson
+      value: 36.828102137170724
+    - type: manhattan_spearman
+      value: 59.07036501478588
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (fr)
+      config: fr
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 22.281212883400205
+    - type: cos_sim_spearman
+      value: 48.27687537627578
+    - type: euclidean_pearson
+      value: 30.531395629285324
+    - type: euclidean_spearman
+      value: 50.349143748970384
+    - type: manhattan_pearson
+      value: 30.48762081986554
+    - type: manhattan_spearman
+      value: 50.66037165529169
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (de-en)
+      config: de-en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 15.76679673990358
+    - type: cos_sim_spearman
+      value: 19.123349126370442
+    - type: euclidean_pearson
+      value: 19.21389203087116
+    - type: euclidean_spearman
+      value: 23.63276413160338
+    - type: manhattan_pearson
+      value: 18.789263824907053
+    - type: manhattan_spearman
+      value: 19.962703178974692
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (es-en)
+      config: es-en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 11.024970397289941
+    - type: cos_sim_spearman
+      value: 13.530951900755017
+    - type: euclidean_pearson
+      value: 13.473514585343645
+    - type: euclidean_spearman
+      value: 16.754702023734914
+    - type: manhattan_pearson
+      value: 13.72847275970385
+    - type: manhattan_spearman
+      value: 16.673001637012348
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (it)
+      config: it
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 33.32761589409043
+    - type: cos_sim_spearman
+      value: 54.14305778960692
+    - type: euclidean_pearson
+      value: 45.30173241170555
+    - type: euclidean_spearman
+      value: 54.77422257007743
+    - type: manhattan_pearson
+      value: 45.41890064000217
+    - type: manhattan_spearman
+      value: 54.533788920795544
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (pl-en)
+      config: pl-en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 20.045210048995486
+    - type: cos_sim_spearman
+      value: 17.597101329633823
+    - type: euclidean_pearson
+      value: 32.531726142346145
+    - type: euclidean_spearman
+      value: 27.244772040848105
+    - type: manhattan_pearson
+      value: 32.74618458514601
+    - type: manhattan_spearman
+      value: 25.81220754539242
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (zh-en)
+      config: zh-en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: -13.832846350193021
+    - type: cos_sim_spearman
+      value: -8.406778050457863
+    - type: euclidean_pearson
+      value: -6.557254855697437
+    - type: euclidean_spearman
+      value: -3.5112770921588563
+    - type: manhattan_pearson
+      value: -6.493730738275641
+    - type: manhattan_spearman
+      value: -2.5922348401468365
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (es-it)
+      config: es-it
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 26.357929743436664
+    - type: cos_sim_spearman
+      value: 37.3417709718339
+    - type: euclidean_pearson
+      value: 30.930792572341293
+    - type: euclidean_spearman
+      value: 36.061866364725795
+    - type: manhattan_pearson
+      value: 31.56982745863155
+    - type: manhattan_spearman
+      value: 37.18529502311113
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (de-fr)
+      config: de-fr
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 9.310102041071547
+    - type: cos_sim_spearman
+      value: 10.907002693108673
+    - type: euclidean_pearson
+      value: 7.361793742296021
+    - type: euclidean_spearman
+      value: 9.53967881391466
+    - type: manhattan_pearson
+      value: 8.017048631719996
+    - type: manhattan_spearman
+      value: 13.537860190039725
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (de-pl)
+      config: de-pl
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: -5.534456407419709
+    - type: cos_sim_spearman
+      value: 17.552638994787724
+    - type: euclidean_pearson
+      value: -10.136558594355556
+    - type: euclidean_spearman
+      value: 11.055083156366303
+    - type: manhattan_pearson
+      value: -11.799223055640773
+    - type: manhattan_spearman
+      value: 1.416528760982869
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (fr-pl)
+      config: fr-pl
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 48.64639760720344
+    - type: cos_sim_spearman
+      value: 39.440531887330785
+    - type: euclidean_pearson
+      value: 37.75527464173489
+    - type: euclidean_spearman
+      value: 39.440531887330785
+    - type: manhattan_pearson
+      value: 32.324715276369474
+    - type: manhattan_spearman
+      value: 28.17180849095055
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 44.667456983937
+    - type: cos_sim_spearman
+      value: 46.04327333618551
+    - type: euclidean_pearson
+      value: 44.583522824155104
+    - type: euclidean_spearman
+      value: 44.77184813864239
+    - type: manhattan_pearson
+      value: 44.54496373721756
+    - type: manhattan_spearman
+      value: 44.830873857115996
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 49.756063724243
+    - type: mrr
+      value: 75.29077585450135
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.194
+    - type: map_at_10
+      value: 18.756999999999998
+    - type: map_at_100
+      value: 19.743
+    - type: map_at_1000
+      value: 19.865
+    - type: map_at_3
+      value: 16.986
+    - type: map_at_5
+      value: 18.024
+    - type: mrr_at_1
+      value: 15.0
+    - type: mrr_at_10
+      value: 19.961000000000002
+    - type: mrr_at_100
+      value: 20.875
+    - type: mrr_at_1000
+      value: 20.982
+    - type: mrr_at_3
+      value: 18.056
+    - type: mrr_at_5
+      value: 19.406000000000002
+    - type: ndcg_at_1
+      value: 15.0
+    - type: ndcg_at_10
+      value: 21.775
+    - type: ndcg_at_100
+      value: 26.8
+    - type: ndcg_at_1000
+      value: 30.468
+    - type: ndcg_at_3
+      value: 18.199
+    - type: ndcg_at_5
+      value: 20.111
+    - type: precision_at_1
+      value: 15.0
+    - type: precision_at_10
+      value: 3.4000000000000004
+    - type: precision_at_100
+      value: 0.607
+    - type: precision_at_1000
+      value: 0.094
+    - type: precision_at_3
+      value: 7.444000000000001
+    - type: precision_at_5
+      value: 5.6000000000000005
+    - type: recall_at_1
+      value: 14.194
+    - type: recall_at_10
+      value: 30.0
+    - type: recall_at_100
+      value: 53.911
+    - type: recall_at_1000
+      value: 83.289
+    - type: recall_at_3
+      value: 20.556
+    - type: recall_at_5
+      value: 24.972
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.35544554455446
+    - type: cos_sim_ap
+      value: 62.596006705300724
+    - type: cos_sim_f1
+      value: 60.80283353010627
+    - type: cos_sim_precision
+      value: 74.20749279538906
+    - type: cos_sim_recall
+      value: 51.5
+    - type: dot_accuracy
+      value: 99.13564356435643
+    - type: dot_ap
+      value: 43.87589686325114
+    - type: dot_f1
+      value: 46.99663623258049
+    - type: dot_precision
+      value: 45.235892691951896
+    - type: dot_recall
+      value: 48.9
+    - type: euclidean_accuracy
+      value: 99.2
+    - type: euclidean_ap
+      value: 43.44660755386079
+    - type: euclidean_f1
+      value: 45.9016393442623
+    - type: euclidean_precision
+      value: 52.79583875162549
+    - type: euclidean_recall
+      value: 40.6
+    - type: manhattan_accuracy
+      value: 99.2
+    - type: manhattan_ap
+      value: 43.11790011749347
+    - type: manhattan_f1
+      value: 45.11023176936122
+    - type: manhattan_precision
+      value: 51.88556566970091
+    - type: manhattan_recall
+      value: 39.900000000000006
+    - type: max_accuracy
+      value: 99.35544554455446
+    - type: max_ap
+      value: 62.596006705300724
+    - type: max_f1
+      value: 60.80283353010627
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 25.71674282500873
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 25.465780711520985
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 35.35656209427094
+    - type: mrr
+      value: 35.10693860877685
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.074
+    - type: map_at_10
+      value: 0.47400000000000003
+    - type: map_at_100
+      value: 1.825
+    - type: map_at_1000
+      value: 4.056
+    - type: map_at_3
+      value: 0.199
+    - type: map_at_5
+      value: 0.301
+    - type: mrr_at_1
+      value: 34.0
+    - type: mrr_at_10
+      value: 46.06
+    - type: mrr_at_100
+      value: 47.506
+    - type: mrr_at_1000
+      value: 47.522999999999996
+    - type: mrr_at_3
+      value: 44.0
+    - type: mrr_at_5
+      value: 44.4
+    - type: ndcg_at_1
+      value: 32.0
+    - type: ndcg_at_10
+      value: 28.633999999999997
+    - type: ndcg_at_100
+      value: 18.547
+    - type: ndcg_at_1000
+      value: 16.142
+    - type: ndcg_at_3
+      value: 32.48
+    - type: ndcg_at_5
+      value: 31.163999999999998
+    - type: precision_at_1
+      value: 34.0
+    - type: precision_at_10
+      value: 30.4
+    - type: precision_at_100
+      value: 18.54
+    - type: precision_at_1000
+      value: 7.942
+    - type: precision_at_3
+      value: 35.333
+    - type: precision_at_5
+      value: 34.0
+    - type: recall_at_1
+      value: 0.074
+    - type: recall_at_10
+      value: 0.641
+    - type: recall_at_100
+      value: 3.675
+    - type: recall_at_1000
+      value: 15.706000000000001
+    - type: recall_at_3
+      value: 0.231
+    - type: recall_at_5
+      value: 0.367
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 54.625600000000006
+    - type: ap
+      value: 9.425323874806459
+    - type: f1
+      value: 42.38724794017267
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 42.8494623655914
+    - type: f1
+      value: 42.66062148844617
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 12.464890895237952
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 79.97854205161829
+    - type: cos_sim_ap
+      value: 47.45175747605773
+    - type: cos_sim_f1
+      value: 46.55775962660444
+    - type: cos_sim_precision
+      value: 41.73640167364017
+    - type: cos_sim_recall
+      value: 52.638522427440634
+    - type: dot_accuracy
+      value: 77.76718126005842
+    - type: dot_ap
+      value: 35.97737653101504
+    - type: dot_f1
+      value: 41.1975475754439
+    - type: dot_precision
+      value: 29.50165355228646
+    - type: dot_recall
+      value: 68.25857519788919
+    - type: euclidean_accuracy
+      value: 79.34076414138403
+    - type: euclidean_ap
+      value: 45.309577778755134
+    - type: euclidean_f1
+      value: 45.09938313913639
+    - type: euclidean_precision
+      value: 39.76631748589847
+    - type: euclidean_recall
+      value: 52.0844327176781
+    - type: manhattan_accuracy
+      value: 79.31692197651546
+    - type: manhattan_ap
+      value: 45.2433373222626
+    - type: manhattan_f1
+      value: 45.04624986069319
+    - type: manhattan_precision
+      value: 38.99286127725256
+    - type: manhattan_recall
+      value: 53.324538258575195
+    - type: max_accuracy
+      value: 79.97854205161829
+    - type: max_ap
+      value: 47.45175747605773
+    - type: max_f1
+      value: 46.55775962660444
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 81.76737687740133
+    - type: cos_sim_ap
+      value: 64.59241956109807
+    - type: cos_sim_f1
+      value: 57.83203629255339
+    - type: cos_sim_precision
+      value: 55.50442477876106
+    - type: cos_sim_recall
+      value: 60.363412380659064
+    - type: dot_accuracy
+      value: 78.96922420149805
+    - type: dot_ap
+      value: 56.11775087282065
+    - type: dot_f1
+      value: 52.92134831460675
+    - type: dot_precision
+      value: 51.524212368728115
+    - type: dot_recall
+      value: 54.39636587619341
+    - type: euclidean_accuracy
+      value: 80.8611790274382
+    - type: euclidean_ap
+      value: 61.28070098354092
+    - type: euclidean_f1
+      value: 54.58334971882497
+    - type: euclidean_precision
+      value: 55.783297162607504
+    - type: euclidean_recall
+      value: 53.43393902063443
+    - type: manhattan_accuracy
+      value: 80.72534637326814
+    - type: manhattan_ap
+      value: 61.18048430787254
+    - type: manhattan_f1
+      value: 54.50978912822061
+    - type: manhattan_precision
+      value: 53.435396790178245
+    - type: manhattan_recall
+      value: 55.6282722513089
+    - type: max_accuracy
+      value: 81.76737687740133
+    - type: max_ap
+      value: 64.59241956109807
+    - type: max_f1
+      value: 57.83203629255339
+---