Create README.md

README.md

@@ -0,0 +1,2534 @@
+---
+tags:
+- mteb
+model-index:
+- name: multi-qa-MiniLM-L6-cos-v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 61.791044776119406
+    - type: ap
+      value: 25.829130082463124
+    - type: f1
+      value: 56.00432262887535
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 62.36077499999999
+    - type: ap
+      value: 57.68938427410222
+    - type: f1
+      value: 62.247666843818436
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 29.59
+    - type: f1
+      value: 29.241975951560622
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.249
+    - type: map_at_10
+      value: 40.196
+    - type: map_at_100
+      value: 41.336
+    - type: map_at_1000
+      value: 41.343
+    - type: map_at_3
+      value: 34.934
+    - type: map_at_5
+      value: 37.871
+    - type: mrr_at_1
+      value: 26.031
+    - type: mrr_at_10
+      value: 40.488
+    - type: mrr_at_100
+      value: 41.628
+    - type: mrr_at_1000
+      value: 41.634
+    - type: mrr_at_3
+      value: 35.171
+    - type: mrr_at_5
+      value: 38.126
+    - type: ndcg_at_1
+      value: 25.249
+    - type: ndcg_at_10
+      value: 49.11
+    - type: ndcg_at_100
+      value: 53.827999999999996
+    - type: ndcg_at_1000
+      value: 53.993
+    - type: ndcg_at_3
+      value: 38.175
+    - type: ndcg_at_5
+      value: 43.488
+    - type: precision_at_1
+      value: 25.249
+    - type: precision_at_10
+      value: 7.788
+    - type: precision_at_100
+      value: 0.9820000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 15.861
+    - type: precision_at_5
+      value: 12.105
+    - type: recall_at_1
+      value: 25.249
+    - type: recall_at_10
+      value: 77.881
+    - type: recall_at_100
+      value: 98.222
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 47.582
+    - type: recall_at_5
+      value: 60.526
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 37.75242616816114
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 27.70031808300247
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 63.09199068762668
+    - type: mrr
+      value: 76.08055225783757
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.83007234777145
+    - type: cos_sim_spearman
+      value: 79.76446808992547
+    - type: euclidean_pearson
+      value: 80.24418669808917
+    - type: euclidean_spearman
+      value: 79.76446808992547
+    - type: manhattan_pearson
+      value: 79.58896133042379
+    - type: manhattan_spearman
+      value: 78.9614377441415
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 78.6038961038961
+    - type: f1
+      value: 77.95572823168757
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 30.240388191413935
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 22.670413424756212
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.694
+    - type: map_at_10
+      value: 43.811
+    - type: map_at_100
+      value: 45.274
+    - type: map_at_1000
+      value: 45.393
+    - type: map_at_3
+      value: 40.043
+    - type: map_at_5
+      value: 41.983
+    - type: mrr_at_1
+      value: 39.628
+    - type: mrr_at_10
+      value: 49.748
+    - type: mrr_at_100
+      value: 50.356
+    - type: mrr_at_1000
+      value: 50.39900000000001
+    - type: mrr_at_3
+      value: 46.924
+    - type: mrr_at_5
+      value: 48.598
+    - type: ndcg_at_1
+      value: 39.628
+    - type: ndcg_at_10
+      value: 50.39
+    - type: ndcg_at_100
+      value: 55.489
+    - type: ndcg_at_1000
+      value: 57.291000000000004
+    - type: ndcg_at_3
+      value: 44.849
+    - type: ndcg_at_5
+      value: 47.195
+    - type: precision_at_1
+      value: 39.628
+    - type: precision_at_10
+      value: 9.714
+    - type: precision_at_100
+      value: 1.591
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 21.507
+    - type: precision_at_5
+      value: 15.393
+    - type: recall_at_1
+      value: 32.694
+    - type: recall_at_10
+      value: 63.031000000000006
+    - type: recall_at_100
+      value: 84.49
+    - type: recall_at_1000
+      value: 96.148
+    - type: recall_at_3
+      value: 46.851
+    - type: recall_at_5
+      value: 53.64
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.183000000000003
+    - type: map_at_10
+      value: 38.796
+    - type: map_at_100
+      value: 40.117000000000004
+    - type: map_at_1000
+      value: 40.251
+    - type: map_at_3
+      value: 35.713
+    - type: map_at_5
+      value: 37.446
+    - type: mrr_at_1
+      value: 35.605
+    - type: mrr_at_10
+      value: 44.824000000000005
+    - type: mrr_at_100
+      value: 45.544000000000004
+    - type: mrr_at_1000
+      value: 45.59
+    - type: mrr_at_3
+      value: 42.452
+    - type: mrr_at_5
+      value: 43.891999999999996
+    - type: ndcg_at_1
+      value: 35.605
+    - type: ndcg_at_10
+      value: 44.857
+    - type: ndcg_at_100
+      value: 49.68
+    - type: ndcg_at_1000
+      value: 51.841
+    - type: ndcg_at_3
+      value: 40.445
+    - type: ndcg_at_5
+      value: 42.535000000000004
+    - type: precision_at_1
+      value: 35.605
+    - type: precision_at_10
+      value: 8.624
+    - type: precision_at_100
+      value: 1.438
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 19.808999999999997
+    - type: precision_at_5
+      value: 14.191
+    - type: recall_at_1
+      value: 28.183000000000003
+    - type: recall_at_10
+      value: 55.742000000000004
+    - type: recall_at_100
+      value: 76.416
+    - type: recall_at_1000
+      value: 90.20899999999999
+    - type: recall_at_3
+      value: 42.488
+    - type: recall_at_5
+      value: 48.431999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.156
+    - type: map_at_10
+      value: 47.677
+    - type: map_at_100
+      value: 48.699999999999996
+    - type: map_at_1000
+      value: 48.756
+    - type: map_at_3
+      value: 44.467
+    - type: map_at_5
+      value: 46.132
+    - type: mrr_at_1
+      value: 41.567
+    - type: mrr_at_10
+      value: 51.06699999999999
+    - type: mrr_at_100
+      value: 51.800000000000004
+    - type: mrr_at_1000
+      value: 51.827999999999996
+    - type: mrr_at_3
+      value: 48.620999999999995
+    - type: mrr_at_5
+      value: 50.013
+    - type: ndcg_at_1
+      value: 41.567
+    - type: ndcg_at_10
+      value: 53.418
+    - type: ndcg_at_100
+      value: 57.743
+    - type: ndcg_at_1000
+      value: 58.940000000000005
+    - type: ndcg_at_3
+      value: 47.923
+    - type: ndcg_at_5
+      value: 50.352
+    - type: precision_at_1
+      value: 41.567
+    - type: precision_at_10
+      value: 8.74
+    - type: precision_at_100
+      value: 1.1809999999999998
+    - type: precision_at_1000
+      value: 0.133
+    - type: precision_at_3
+      value: 21.337999999999997
+    - type: precision_at_5
+      value: 14.646
+    - type: recall_at_1
+      value: 36.156
+    - type: recall_at_10
+      value: 67.084
+    - type: recall_at_100
+      value: 86.299
+    - type: recall_at_1000
+      value: 94.82000000000001
+    - type: recall_at_3
+      value: 52.209
+    - type: recall_at_5
+      value: 58.175
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.513
+    - type: map_at_10
+      value: 32.699
+    - type: map_at_100
+      value: 33.788000000000004
+    - type: map_at_1000
+      value: 33.878
+    - type: map_at_3
+      value: 30.044999999999998
+    - type: map_at_5
+      value: 31.506
+    - type: mrr_at_1
+      value: 25.311
+    - type: mrr_at_10
+      value: 34.457
+    - type: mrr_at_100
+      value: 35.443999999999996
+    - type: mrr_at_1000
+      value: 35.504999999999995
+    - type: mrr_at_3
+      value: 31.902
+    - type: mrr_at_5
+      value: 33.36
+    - type: ndcg_at_1
+      value: 25.311
+    - type: ndcg_at_10
+      value: 37.929
+    - type: ndcg_at_100
+      value: 43.1
+    - type: ndcg_at_1000
+      value: 45.275999999999996
+    - type: ndcg_at_3
+      value: 32.745999999999995
+    - type: ndcg_at_5
+      value: 35.235
+    - type: precision_at_1
+      value: 25.311
+    - type: precision_at_10
+      value: 6.034
+    - type: precision_at_100
+      value: 0.8959999999999999
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 14.237
+    - type: precision_at_5
+      value: 10.034
+    - type: recall_at_1
+      value: 23.513
+    - type: recall_at_10
+      value: 52.312999999999995
+    - type: recall_at_100
+      value: 75.762
+    - type: recall_at_1000
+      value: 91.85799999999999
+    - type: recall_at_3
+      value: 38.222
+    - type: recall_at_5
+      value: 44.316
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.333000000000002
+    - type: map_at_10
+      value: 24.605
+    - type: map_at_100
+      value: 25.924000000000003
+    - type: map_at_1000
+      value: 26.039
+    - type: map_at_3
+      value: 21.907
+    - type: map_at_5
+      value: 23.294999999999998
+    - type: mrr_at_1
+      value: 20.647
+    - type: mrr_at_10
+      value: 29.442
+    - type: mrr_at_100
+      value: 30.54
+    - type: mrr_at_1000
+      value: 30.601
+    - type: mrr_at_3
+      value: 26.802999999999997
+    - type: mrr_at_5
+      value: 28.147
+    - type: ndcg_at_1
+      value: 20.647
+    - type: ndcg_at_10
+      value: 30.171999999999997
+    - type: ndcg_at_100
+      value: 36.466
+    - type: ndcg_at_1000
+      value: 39.095
+    - type: ndcg_at_3
+      value: 25.134
+    - type: ndcg_at_5
+      value: 27.211999999999996
+    - type: precision_at_1
+      value: 20.647
+    - type: precision_at_10
+      value: 5.659
+    - type: precision_at_100
+      value: 1.012
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 12.148
+    - type: precision_at_5
+      value: 8.881
+    - type: recall_at_1
+      value: 16.333000000000002
+    - type: recall_at_10
+      value: 42.785000000000004
+    - type: recall_at_100
+      value: 70.282
+    - type: recall_at_1000
+      value: 88.539
+    - type: recall_at_3
+      value: 28.307
+    - type: recall_at_5
+      value: 33.751
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.821
+    - type: map_at_10
+      value: 37.188
+    - type: map_at_100
+      value: 38.516
+    - type: map_at_1000
+      value: 38.635000000000005
+    - type: map_at_3
+      value: 33.821
+    - type: map_at_5
+      value: 35.646
+    - type: mrr_at_1
+      value: 33.109
+    - type: mrr_at_10
+      value: 43.003
+    - type: mrr_at_100
+      value: 43.849
+    - type: mrr_at_1000
+      value: 43.889
+    - type: mrr_at_3
+      value: 40.263
+    - type: mrr_at_5
+      value: 41.957
+    - type: ndcg_at_1
+      value: 33.109
+    - type: ndcg_at_10
+      value: 43.556
+    - type: ndcg_at_100
+      value: 49.197
+    - type: ndcg_at_1000
+      value: 51.269
+    - type: ndcg_at_3
+      value: 38.01
+    - type: ndcg_at_5
+      value: 40.647
+    - type: precision_at_1
+      value: 33.109
+    - type: precision_at_10
+      value: 8.085
+    - type: precision_at_100
+      value: 1.286
+    - type: precision_at_1000
+      value: 0.166
+    - type: precision_at_3
+      value: 18.191
+    - type: precision_at_5
+      value: 13.050999999999998
+    - type: recall_at_1
+      value: 26.821
+    - type: recall_at_10
+      value: 56.818000000000005
+    - type: recall_at_100
+      value: 80.63
+    - type: recall_at_1000
+      value: 94.042
+    - type: recall_at_3
+      value: 41.266000000000005
+    - type: recall_at_5
+      value: 48.087999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.169
+    - type: map_at_10
+      value: 31.682
+    - type: map_at_100
+      value: 32.988
+    - type: map_at_1000
+      value: 33.097
+    - type: map_at_3
+      value: 28.708
+    - type: map_at_5
+      value: 30.319000000000003
+    - type: mrr_at_1
+      value: 27.854
+    - type: mrr_at_10
+      value: 36.814
+    - type: mrr_at_100
+      value: 37.741
+    - type: mrr_at_1000
+      value: 37.798
+    - type: mrr_at_3
+      value: 34.418
+    - type: mrr_at_5
+      value: 35.742000000000004
+    - type: ndcg_at_1
+      value: 27.854
+    - type: ndcg_at_10
+      value: 37.388
+    - type: ndcg_at_100
+      value: 43.342999999999996
+    - type: ndcg_at_1000
+      value: 45.829
+    - type: ndcg_at_3
+      value: 32.512
+    - type: ndcg_at_5
+      value: 34.613
+    - type: precision_at_1
+      value: 27.854
+    - type: precision_at_10
+      value: 7.031999999999999
+    - type: precision_at_100
+      value: 1.18
+    - type: precision_at_1000
+      value: 0.158
+    - type: precision_at_3
+      value: 15.753
+    - type: precision_at_5
+      value: 11.301
+    - type: recall_at_1
+      value: 22.169
+    - type: recall_at_10
+      value: 49.44
+    - type: recall_at_100
+      value: 75.644
+    - type: recall_at_1000
+      value: 92.919
+    - type: recall_at_3
+      value: 35.528999999999996
+    - type: recall_at_5
+      value: 41.271
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.394
+    - type: map_at_10
+      value: 28.807
+    - type: map_at_100
+      value: 29.851
+    - type: map_at_1000
+      value: 29.959999999999997
+    - type: map_at_3
+      value: 26.694000000000003
+    - type: map_at_5
+      value: 27.805999999999997
+    - type: mrr_at_1
+      value: 23.773
+    - type: mrr_at_10
+      value: 30.895
+    - type: mrr_at_100
+      value: 31.894
+    - type: mrr_at_1000
+      value: 31.971
+    - type: mrr_at_3
+      value: 28.988000000000003
+    - type: mrr_at_5
+      value: 29.908
+    - type: ndcg_at_1
+      value: 23.773
+    - type: ndcg_at_10
+      value: 32.976
+    - type: ndcg_at_100
+      value: 38.109
+    - type: ndcg_at_1000
+      value: 40.797
+    - type: ndcg_at_3
+      value: 28.993999999999996
+    - type: ndcg_at_5
+      value: 30.659999999999997
+    - type: precision_at_1
+      value: 23.773
+    - type: precision_at_10
+      value: 5.2299999999999995
+    - type: precision_at_100
+      value: 0.857
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 12.73
+    - type: precision_at_5
+      value: 8.741999999999999
+    - type: recall_at_1
+      value: 21.394
+    - type: recall_at_10
+      value: 43.75
+    - type: recall_at_100
+      value: 66.765
+    - type: recall_at_1000
+      value: 86.483
+    - type: recall_at_3
+      value: 32.542
+    - type: recall_at_5
+      value: 36.689
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.266
+    - type: map_at_10
+      value: 23.639
+    - type: map_at_100
+      value: 24.814
+    - type: map_at_1000
+      value: 24.948
+    - type: map_at_3
+      value: 21.401999999999997
+    - type: map_at_5
+      value: 22.581
+    - type: mrr_at_1
+      value: 19.718
+    - type: mrr_at_10
+      value: 27.276
+    - type: mrr_at_100
+      value: 28.252
+    - type: mrr_at_1000
+      value: 28.33
+    - type: mrr_at_3
+      value: 25.086000000000002
+    - type: mrr_at_5
+      value: 26.304
+    - type: ndcg_at_1
+      value: 19.718
+    - type: ndcg_at_10
+      value: 28.254
+    - type: ndcg_at_100
+      value: 34.022999999999996
+    - type: ndcg_at_1000
+      value: 37.031
+    - type: ndcg_at_3
+      value: 24.206
+    - type: ndcg_at_5
+      value: 26.009
+    - type: precision_at_1
+      value: 19.718
+    - type: precision_at_10
+      value: 5.189
+    - type: precision_at_100
+      value: 0.9690000000000001
+    - type: precision_at_1000
+      value: 0.14200000000000002
+    - type: precision_at_3
+      value: 11.551
+    - type: precision_at_5
+      value: 8.362
+    - type: recall_at_1
+      value: 16.266
+    - type: recall_at_10
+      value: 38.550000000000004
+    - type: recall_at_100
+      value: 64.63499999999999
+    - type: recall_at_1000
+      value: 86.059
+    - type: recall_at_3
+      value: 27.156000000000002
+    - type: recall_at_5
+      value: 31.829
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.124000000000002
+    - type: map_at_10
+      value: 35.099000000000004
+    - type: map_at_100
+      value: 36.269
+    - type: map_at_1000
+      value: 36.388999999999996
+    - type: map_at_3
+      value: 32.017
+    - type: map_at_5
+      value: 33.614
+    - type: mrr_at_1
+      value: 31.25
+    - type: mrr_at_10
+      value: 39.269999999999996
+    - type: mrr_at_100
+      value: 40.134
+    - type: mrr_at_1000
+      value: 40.197
+    - type: mrr_at_3
+      value: 36.536
+    - type: mrr_at_5
+      value: 37.842
+    - type: ndcg_at_1
+      value: 31.25
+    - type: ndcg_at_10
+      value: 40.643
+    - type: ndcg_at_100
+      value: 45.967999999999996
+    - type: ndcg_at_1000
+      value: 48.455999999999996
+    - type: ndcg_at_3
+      value: 34.954
+    - type: ndcg_at_5
+      value: 37.273
+    - type: precision_at_1
+      value: 31.25
+    - type: precision_at_10
+      value: 6.894
+    - type: precision_at_100
+      value: 1.086
+    - type: precision_at_1000
+      value: 0.14200000000000002
+    - type: precision_at_3
+      value: 15.672
+    - type: precision_at_5
+      value: 11.082
+    - type: recall_at_1
+      value: 26.124000000000002
+    - type: recall_at_10
+      value: 53.730999999999995
+    - type: recall_at_100
+      value: 76.779
+    - type: recall_at_1000
+      value: 93.908
+    - type: recall_at_3
+      value: 37.869
+    - type: recall_at_5
+      value: 43.822
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.776
+    - type: map_at_10
+      value: 31.384
+    - type: map_at_100
+      value: 33.108
+    - type: map_at_1000
+      value: 33.339
+    - type: map_at_3
+      value: 28.269
+    - type: map_at_5
+      value: 30.108
+    - type: mrr_at_1
+      value: 26.482
+    - type: mrr_at_10
+      value: 35.876000000000005
+    - type: mrr_at_100
+      value: 36.887
+    - type: mrr_at_1000
+      value: 36.949
+    - type: mrr_at_3
+      value: 32.971000000000004
+    - type: mrr_at_5
+      value: 34.601
+    - type: ndcg_at_1
+      value: 26.482
+    - type: ndcg_at_10
+      value: 37.403999999999996
+    - type: ndcg_at_100
+      value: 43.722
+    - type: ndcg_at_1000
+      value: 46.417
+    - type: ndcg_at_3
+      value: 32.149
+    - type: ndcg_at_5
+      value: 34.818
+    - type: precision_at_1
+      value: 26.482
+    - type: precision_at_10
+      value: 7.411
+    - type: precision_at_100
+      value: 1.532
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 15.152
+    - type: precision_at_5
+      value: 11.501999999999999
+    - type: recall_at_1
+      value: 21.776
+    - type: recall_at_10
+      value: 49.333
+    - type: recall_at_100
+      value: 76.753
+    - type: recall_at_1000
+      value: 93.762
+    - type: recall_at_3
+      value: 35.329
+    - type: recall_at_5
+      value: 41.82
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.990000000000002
+    - type: map_at_10
+      value: 26.721
+    - type: map_at_100
+      value: 27.833999999999996
+    - type: map_at_1000
+      value: 27.947
+    - type: map_at_3
+      value: 24.046
+    - type: map_at_5
+      value: 25.491999999999997
+    - type: mrr_at_1
+      value: 20.702
+    - type: mrr_at_10
+      value: 28.691
+    - type: mrr_at_100
+      value: 29.685
+    - type: mrr_at_1000
+      value: 29.764000000000003
+    - type: mrr_at_3
+      value: 26.124000000000002
+    - type: mrr_at_5
+      value: 27.584999999999997
+    - type: ndcg_at_1
+      value: 20.702
+    - type: ndcg_at_10
+      value: 31.473000000000003
+    - type: ndcg_at_100
+      value: 37.061
+    - type: ndcg_at_1000
+      value: 39.784000000000006
+    - type: ndcg_at_3
+      value: 26.221
+    - type: ndcg_at_5
+      value: 28.655
+    - type: precision_at_1
+      value: 20.702
+    - type: precision_at_10
+      value: 5.083
+    - type: precision_at_100
+      value: 0.8500000000000001
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 11.275
+    - type: precision_at_5
+      value: 8.17
+    - type: recall_at_1
+      value: 18.990000000000002
+    - type: recall_at_10
+      value: 44.318999999999996
+    - type: recall_at_100
+      value: 69.98
+    - type: recall_at_1000
+      value: 90.171
+    - type: recall_at_3
+      value: 30.246000000000002
+    - type: recall_at_5
+      value: 35.927
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.584
+    - type: map_at_10
+      value: 16.148
+    - type: map_at_100
+      value: 17.727
+    - type: map_at_1000
+      value: 17.913999999999998
+    - type: map_at_3
+      value: 13.456000000000001
+    - type: map_at_5
+      value: 14.841999999999999
+    - type: mrr_at_1
+      value: 21.564
+    - type: mrr_at_10
+      value: 31.579
+    - type: mrr_at_100
+      value: 32.586999999999996
+    - type: mrr_at_1000
+      value: 32.638
+    - type: mrr_at_3
+      value: 28.294999999999998
+    - type: mrr_at_5
+      value: 30.064
+    - type: ndcg_at_1
+      value: 21.564
+    - type: ndcg_at_10
+      value: 23.294999999999998
+    - type: ndcg_at_100
+      value: 29.997
+    - type: ndcg_at_1000
+      value: 33.517
+    - type: ndcg_at_3
+      value: 18.759
+    - type: ndcg_at_5
+      value: 20.324
+    - type: precision_at_1
+      value: 21.564
+    - type: precision_at_10
+      value: 7.362
+    - type: precision_at_100
+      value: 1.451
+    - type: precision_at_1000
+      value: 0.21
+    - type: precision_at_3
+      value: 13.919999999999998
+    - type: precision_at_5
+      value: 10.879
+    - type: recall_at_1
+      value: 9.584
+    - type: recall_at_10
+      value: 28.508
+    - type: recall_at_100
+      value: 51.873999999999995
+    - type: recall_at_1000
+      value: 71.773
+    - type: recall_at_3
+      value: 17.329
+    - type: recall_at_5
+      value: 21.823
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.034
+    - type: map_at_10
+      value: 14.664
+    - type: map_at_100
+      value: 19.652
+    - type: map_at_1000
+      value: 20.701
+    - type: map_at_3
+      value: 10.626
+    - type: map_at_5
+      value: 12.334
+    - type: mrr_at_1
+      value: 54.0
+    - type: mrr_at_10
+      value: 63.132
+    - type: mrr_at_100
+      value: 63.639
+    - type: mrr_at_1000
+      value: 63.663000000000004
+    - type: mrr_at_3
+      value: 61.083
+    - type: mrr_at_5
+      value: 62.483
+    - type: ndcg_at_1
+      value: 42.875
+    - type: ndcg_at_10
+      value: 32.04
+    - type: ndcg_at_100
+      value: 35.157
+    - type: ndcg_at_1000
+      value: 41.4
+    - type: ndcg_at_3
+      value: 35.652
+    - type: ndcg_at_5
+      value: 33.617000000000004
+    - type: precision_at_1
+      value: 54.0
+    - type: precision_at_10
+      value: 25.55
+    - type: precision_at_100
+      value: 7.5600000000000005
+    - type: precision_at_1000
+      value: 1.577
+    - type: precision_at_3
+      value: 38.833
+    - type: precision_at_5
+      value: 33.15
+    - type: recall_at_1
+      value: 7.034
+    - type: recall_at_10
+      value: 19.627
+    - type: recall_at_100
+      value: 40.528
+    - type: recall_at_1000
+      value: 60.789
+    - type: recall_at_3
+      value: 11.833
+    - type: recall_at_5
+      value: 14.804
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 39.6
+    - type: f1
+      value: 35.3770765501984
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 35.098
+    - type: map_at_10
+      value: 46.437
+    - type: map_at_100
+      value: 47.156
+    - type: map_at_1000
+      value: 47.193000000000005
+    - type: map_at_3
+      value: 43.702000000000005
+    - type: map_at_5
+      value: 45.326
+    - type: mrr_at_1
+      value: 37.774
+    - type: mrr_at_10
+      value: 49.512
+    - type: mrr_at_100
+      value: 50.196
+    - type: mrr_at_1000
+      value: 50.224000000000004
+    - type: mrr_at_3
+      value: 46.747
+    - type: mrr_at_5
+      value: 48.415
+    - type: ndcg_at_1
+      value: 37.774
+    - type: ndcg_at_10
+      value: 52.629000000000005
+    - type: ndcg_at_100
+      value: 55.995
+    - type: ndcg_at_1000
+      value: 56.962999999999994
+    - type: ndcg_at_3
+      value: 47.188
+    - type: ndcg_at_5
+      value: 50.019000000000005
+    - type: precision_at_1
+      value: 37.774
+    - type: precision_at_10
+      value: 7.541
+    - type: precision_at_100
+      value: 0.931
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 19.572
+    - type: precision_at_5
+      value: 13.288
+    - type: recall_at_1
+      value: 35.098
+    - type: recall_at_10
+      value: 68.818
+    - type: recall_at_100
+      value: 84.004
+    - type: recall_at_1000
+      value: 91.36800000000001
+    - type: recall_at_3
+      value: 54.176
+    - type: recall_at_5
+      value: 60.968999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.982
+    - type: map_at_10
+      value: 28.994999999999997
+    - type: map_at_100
+      value: 30.868000000000002
+    - type: map_at_1000
+      value: 31.045
+    - type: map_at_3
+      value: 25.081999999999997
+    - type: map_at_5
+      value: 27.303
+    - type: mrr_at_1
+      value: 35.031
+    - type: mrr_at_10
+      value: 43.537
+    - type: mrr_at_100
+      value: 44.422
+    - type: mrr_at_1000
+      value: 44.471
+    - type: mrr_at_3
+      value: 41.024
+    - type: mrr_at_5
+      value: 42.42
+    - type: ndcg_at_1
+      value: 35.031
+    - type: ndcg_at_10
+      value: 36.346000000000004
+    - type: ndcg_at_100
+      value: 43.275000000000006
+    - type: ndcg_at_1000
+      value: 46.577
+    - type: ndcg_at_3
+      value: 32.42
+    - type: ndcg_at_5
+      value: 33.841
+    - type: precision_at_1
+      value: 35.031
+    - type: precision_at_10
+      value: 10.231
+    - type: precision_at_100
+      value: 1.728
+    - type: precision_at_1000
+      value: 0.231
+    - type: precision_at_3
+      value: 21.553
+    - type: precision_at_5
+      value: 16.204
+    - type: recall_at_1
+      value: 17.982
+    - type: recall_at_10
+      value: 43.169000000000004
+    - type: recall_at_100
+      value: 68.812
+    - type: recall_at_1000
+      value: 89.008
+    - type: recall_at_3
+      value: 29.309
+    - type: recall_at_5
+      value: 35.514
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.387
+    - type: map_at_10
+      value: 36.931000000000004
+    - type: map_at_100
+      value: 37.734
+    - type: map_at_1000
+      value: 37.818000000000005
+    - type: map_at_3
+      value: 34.691
+    - type: map_at_5
+      value: 36.016999999999996
+    - type: mrr_at_1
+      value: 54.774
+    - type: mrr_at_10
+      value: 62.133
+    - type: mrr_at_100
+      value: 62.587
+    - type: mrr_at_1000
+      value: 62.61600000000001
+    - type: mrr_at_3
+      value: 60.49099999999999
+    - type: mrr_at_5
+      value: 61.480999999999995
+    - type: ndcg_at_1
+      value: 54.774
+    - type: ndcg_at_10
+      value: 45.657
+    - type: ndcg_at_100
+      value: 48.954
+    - type: ndcg_at_1000
+      value: 50.78
+    - type: ndcg_at_3
+      value: 41.808
+    - type: ndcg_at_5
+      value: 43.816
+    - type: precision_at_1
+      value: 54.774
+    - type: precision_at_10
+      value: 9.479
+    - type: precision_at_100
+      value: 1.208
+    - type: precision_at_1000
+      value: 0.145
+    - type: precision_at_3
+      value: 25.856
+    - type: precision_at_5
+      value: 17.102
+    - type: recall_at_1
+      value: 27.387
+    - type: recall_at_10
+      value: 47.394
+    - type: recall_at_100
+      value: 60.397999999999996
+    - type: recall_at_1000
+      value: 72.54599999999999
+    - type: recall_at_3
+      value: 38.785
+    - type: recall_at_5
+      value: 42.754999999999995
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 61.217999999999996
+    - type: ap
+      value: 56.84286974948407
+    - type: f1
+      value: 60.99211195455131
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.224
+    - type: map_at_10
+      value: 30.448999999999998
+    - type: map_at_100
+      value: 31.663999999999998
+    - type: map_at_1000
+      value: 31.721
+    - type: map_at_3
+      value: 26.922
+    - type: map_at_5
+      value: 28.906
+    - type: mrr_at_1
+      value: 19.756
+    - type: mrr_at_10
+      value: 30.994
+    - type: mrr_at_100
+      value: 32.161
+    - type: mrr_at_1000
+      value: 32.213
+    - type: mrr_at_3
+      value: 27.502
+    - type: mrr_at_5
+      value: 29.48
+    - type: ndcg_at_1
+      value: 19.742
+    - type: ndcg_at_10
+      value: 36.833
+    - type: ndcg_at_100
+      value: 42.785000000000004
+    - type: ndcg_at_1000
+      value: 44.291000000000004
+    - type: ndcg_at_3
+      value: 29.580000000000002
+    - type: ndcg_at_5
+      value: 33.139
+    - type: precision_at_1
+      value: 19.742
+    - type: precision_at_10
+      value: 5.894
+    - type: precision_at_100
+      value: 0.889
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 12.665000000000001
+    - type: precision_at_5
+      value: 9.393
+    - type: recall_at_1
+      value: 19.224
+    - type: recall_at_10
+      value: 56.538999999999994
+    - type: recall_at_100
+      value: 84.237
+    - type: recall_at_1000
+      value: 95.965
+    - type: recall_at_3
+      value: 36.71
+    - type: recall_at_5
+      value: 45.283
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.97264021887824
+    - type: f1
+      value: 89.53607318488027
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 59.566803465572285
+    - type: f1
+      value: 40.94003955225124
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 66.7787491593813
+    - type: f1
+      value: 64.51190971513093
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 73.7794216543376
+    - type: f1
+      value: 72.71852261076475
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 28.40883054472429
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 26.144338339113617
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.894071459751267
+    - type: mrr
+      value: 31.965886150526256
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.024
+    - type: map_at_10
+      value: 10.533
+    - type: map_at_100
+      value: 12.97
+    - type: map_at_1000
+      value: 14.163
+    - type: map_at_3
+      value: 7.971
+    - type: map_at_5
+      value: 9.15
+    - type: mrr_at_1
+      value: 40.867
+    - type: mrr_at_10
+      value: 48.837
+    - type: mrr_at_100
+      value: 49.464999999999996
+    - type: mrr_at_1000
+      value: 49.509
+    - type: mrr_at_3
+      value: 46.800999999999995
+    - type: mrr_at_5
+      value: 47.745
+    - type: ndcg_at_1
+      value: 38.854
+    - type: ndcg_at_10
+      value: 29.674
+    - type: ndcg_at_100
+      value: 26.66
+    - type: ndcg_at_1000
+      value: 35.088
+    - type: ndcg_at_3
+      value: 34.838
+    - type: ndcg_at_5
+      value: 32.423
+    - type: precision_at_1
+      value: 40.248
+    - type: precision_at_10
+      value: 21.826999999999998
+    - type: precision_at_100
+      value: 6.78
+    - type: precision_at_1000
+      value: 1.889
+    - type: precision_at_3
+      value: 32.405
+    - type: precision_at_5
+      value: 27.74
+    - type: recall_at_1
+      value: 5.024
+    - type: recall_at_10
+      value: 13.996
+    - type: recall_at_100
+      value: 26.636
+    - type: recall_at_1000
+      value: 57.816
+    - type: recall_at_3
+      value: 9.063
+    - type: recall_at_5
+      value: 10.883
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.088
+    - type: map_at_10
+      value: 36.915
+    - type: map_at_100
+      value: 38.141999999999996
+    - type: map_at_1000
+      value: 38.191
+    - type: map_at_3
+      value: 32.458999999999996
+    - type: map_at_5
+      value: 35.004999999999995
+    - type: mrr_at_1
+      value: 26.101000000000003
+    - type: mrr_at_10
+      value: 39.1
+    - type: mrr_at_100
+      value: 40.071
+    - type: mrr_at_1000
+      value: 40.106
+    - type: mrr_at_3
+      value: 35.236000000000004
+    - type: mrr_at_5
+      value: 37.43
+    - type: ndcg_at_1
+      value: 26.072
+    - type: ndcg_at_10
+      value: 44.482
+    - type: ndcg_at_100
+      value: 49.771
+    - type: ndcg_at_1000
+      value: 50.903
+    - type: ndcg_at_3
+      value: 35.922
+    - type: ndcg_at_5
+      value: 40.178000000000004
+    - type: precision_at_1
+      value: 26.072
+    - type: precision_at_10
+      value: 7.795000000000001
+    - type: precision_at_100
+      value: 1.072
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 16.725
+    - type: precision_at_5
+      value: 12.468
+    - type: recall_at_1
+      value: 23.088
+    - type: recall_at_10
+      value: 65.534
+    - type: recall_at_100
+      value: 88.68
+    - type: recall_at_1000
+      value: 97.101
+    - type: recall_at_3
+      value: 43.161
+    - type: recall_at_5
+      value: 52.959999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.612
+    - type: map_at_10
+      value: 83.292
+    - type: map_at_100
+      value: 83.96000000000001
+    - type: map_at_1000
+      value: 83.978
+    - type: map_at_3
+      value: 80.26299999999999
+    - type: map_at_5
+      value: 82.11500000000001
+    - type: mrr_at_1
+      value: 80.21000000000001
+    - type: mrr_at_10
+      value: 86.457
+    - type: mrr_at_100
+      value: 86.58500000000001
+    - type: mrr_at_1000
+      value: 86.587
+    - type: mrr_at_3
+      value: 85.452
+    - type: mrr_at_5
+      value: 86.101
+    - type: ndcg_at_1
+      value: 80.21000000000001
+    - type: ndcg_at_10
+      value: 87.208
+    - type: ndcg_at_100
+      value: 88.549
+    - type: ndcg_at_1000
+      value: 88.683
+    - type: ndcg_at_3
+      value: 84.20400000000001
+    - type: ndcg_at_5
+      value: 85.768
+    - type: precision_at_1
+      value: 80.21000000000001
+    - type: precision_at_10
+      value: 13.29
+    - type: precision_at_100
+      value: 1.5230000000000001
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 36.767
+    - type: precision_at_5
+      value: 24.2
+    - type: recall_at_1
+      value: 69.612
+    - type: recall_at_10
+      value: 94.651
+    - type: recall_at_100
+      value: 99.297
+    - type: recall_at_1000
+      value: 99.95100000000001
+    - type: recall_at_3
+      value: 86.003
+    - type: recall_at_5
+      value: 90.45100000000001
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 46.28945925252077
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 50.954446620859684
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.888
+    - type: map_at_10
+      value: 9.21
+    - type: map_at_100
+      value: 10.629
+    - type: map_at_1000
+      value: 10.859
+    - type: map_at_3
+      value: 6.743
+    - type: map_at_5
+      value: 7.982
+    - type: mrr_at_1
+      value: 19.1
+    - type: mrr_at_10
+      value: 28.294000000000004
+    - type: mrr_at_100
+      value: 29.326999999999998
+    - type: mrr_at_1000
+      value: 29.414
+    - type: mrr_at_3
+      value: 25.367
+    - type: mrr_at_5
+      value: 27.002
+    - type: ndcg_at_1
+      value: 19.1
+    - type: ndcg_at_10
+      value: 15.78
+    - type: ndcg_at_100
+      value: 21.807000000000002
+    - type: ndcg_at_1000
+      value: 26.593
+    - type: ndcg_at_3
+      value: 15.204999999999998
+    - type: ndcg_at_5
+      value: 13.217
+    - type: precision_at_1
+      value: 19.1
+    - type: precision_at_10
+      value: 7.9799999999999995
+    - type: precision_at_100
+      value: 1.667
+    - type: precision_at_1000
+      value: 0.28300000000000003
+    - type: precision_at_3
+      value: 13.933000000000002
+    - type: precision_at_5
+      value: 11.379999999999999
+    - type: recall_at_1
+      value: 3.888
+    - type: recall_at_10
+      value: 16.17
+    - type: recall_at_100
+      value: 33.848
+    - type: recall_at_1000
+      value: 57.345
+    - type: recall_at_3
+      value: 8.468
+    - type: recall_at_5
+      value: 11.540000000000001
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.05803116288386
+    - type: cos_sim_spearman
+      value: 70.0403855402571
+    - type: euclidean_pearson
+      value: 75.59006280166072
+    - type: euclidean_spearman
+      value: 70.04038926247613
+    - type: manhattan_pearson
+      value: 75.48136278078455
+    - type: manhattan_spearman
+      value: 69.9608897701754
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.56836430603597
+    - type: cos_sim_spearman
+      value: 64.38407759822387
+    - type: euclidean_pearson
+      value: 65.93619045541732
+    - type: euclidean_spearman
+      value: 64.38184049884836
+    - type: manhattan_pearson
+      value: 65.97148637646873
+    - type: manhattan_spearman
+      value: 64.48011982438929
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.990362280318
+    - type: cos_sim_spearman
+      value: 76.40621890996734
+    - type: euclidean_pearson
+      value: 76.01739766577184
+    - type: euclidean_spearman
+      value: 76.4062736496846
+    - type: manhattan_pearson
+      value: 76.04738378838042
+    - type: manhattan_spearman
+      value: 76.44991409719592
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 74.8516957692617
+    - type: cos_sim_spearman
+      value: 69.325199098278
+    - type: euclidean_pearson
+      value: 73.37922793254768
+    - type: euclidean_spearman
+      value: 69.32520119670215
+    - type: manhattan_pearson
+      value: 73.3795212376615
+    - type: manhattan_spearman
+      value: 69.35306787926315
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.644002190612
+    - type: cos_sim_spearman
+      value: 80.18337978181648
+    - type: euclidean_pearson
+      value: 79.7628642371887
+    - type: euclidean_spearman
+      value: 80.18337906907526
+    - type: manhattan_pearson
+      value: 79.68810722704522
+    - type: manhattan_spearman
+      value: 80.10664518173466
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.8303940874723
+    - type: cos_sim_spearman
+      value: 79.56812599677549
+    - type: euclidean_pearson
+      value: 79.38928950396344
+    - type: euclidean_spearman
+      value: 79.56812556750812
+    - type: manhattan_pearson
+      value: 79.41057583507681
+    - type: manhattan_spearman
+      value: 79.57604428731142
+  - 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: 78.90792116013353
+    - type: cos_sim_spearman
+      value: 81.18059230233499
+    - type: euclidean_pearson
+      value: 80.2622631297375
+    - type: euclidean_spearman
+      value: 81.18059230233499
+    - type: manhattan_pearson
+      value: 80.23946026135997
+    - type: manhattan_spearman
+      value: 81.11947325071426
+  - 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: 64.46850619973324
+    - type: cos_sim_spearman
+      value: 65.50839374141563
+    - type: euclidean_pearson
+      value: 66.60130812260707
+    - type: euclidean_spearman
+      value: 65.50839374141563
+    - type: manhattan_pearson
+      value: 66.58871918195092
+    - type: manhattan_spearman
+      value: 65.7347325297592
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.71536124107834
+    - type: cos_sim_spearman
+      value: 75.98365906208434
+    - type: euclidean_pearson
+      value: 76.64573753881218
+    - type: euclidean_spearman
+      value: 75.98365906208434
+    - type: manhattan_pearson
+      value: 76.63637189172626
+    - type: manhattan_spearman
+      value: 75.9660207821009
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.27669440147513
+    - type: mrr
+      value: 91.7729356699945
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.028
+    - type: map_at_10
+      value: 49.919000000000004
+    - type: map_at_100
+      value: 50.91
+    - type: map_at_1000
+      value: 50.955
+    - type: map_at_3
+      value: 47.785
+    - type: map_at_5
+      value: 49.084
+    - type: mrr_at_1
+      value: 43.667
+    - type: mrr_at_10
+      value: 51.342
+    - type: mrr_at_100
+      value: 52.197
+    - type: mrr_at_1000
+      value: 52.236000000000004
+    - type: mrr_at_3
+      value: 49.667
+    - type: mrr_at_5
+      value: 50.766999999999996
+    - type: ndcg_at_1
+      value: 43.667
+    - type: ndcg_at_10
+      value: 54.029
+    - type: ndcg_at_100
+      value: 58.909
+    - type: ndcg_at_1000
+      value: 60.131
+    - type: ndcg_at_3
+      value: 50.444
+    - type: ndcg_at_5
+      value: 52.354
+    - type: precision_at_1
+      value: 43.667
+    - type: precision_at_10
+      value: 7.432999999999999
+    - type: precision_at_100
+      value: 1.0
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 20.444000000000003
+    - type: precision_at_5
+      value: 13.533000000000001
+    - type: recall_at_1
+      value: 41.028
+    - type: recall_at_10
+      value: 65.011
+    - type: recall_at_100
+      value: 88.033
+    - type: recall_at_1000
+      value: 97.667
+    - type: recall_at_3
+      value: 55.394
+    - type: recall_at_5
+      value: 60.183
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.76534653465346
+    - type: cos_sim_ap
+      value: 93.83756773536699
+    - type: cos_sim_f1
+      value: 87.91097622660598
+    - type: cos_sim_precision
+      value: 88.94575230296827
+    - type: cos_sim_recall
+      value: 86.9
+    - type: dot_accuracy
+      value: 99.76534653465346
+    - type: dot_ap
+      value: 93.83756773536699
+    - type: dot_f1
+      value: 87.91097622660598
+    - type: dot_precision
+      value: 88.94575230296827
+    - type: dot_recall
+      value: 86.9
+    - type: euclidean_accuracy
+      value: 99.76534653465346
+    - type: euclidean_ap
+      value: 93.837567735367
+    - type: euclidean_f1
+      value: 87.91097622660598
+    - type: euclidean_precision
+      value: 88.94575230296827
+    - type: euclidean_recall
+      value: 86.9
+    - type: manhattan_accuracy
+      value: 99.76633663366337
+    - type: manhattan_ap
+      value: 93.84480825492724
+    - type: manhattan_f1
+      value: 87.97145769622833
+    - type: manhattan_precision
+      value: 89.70893970893971
+    - type: manhattan_recall
+      value: 86.3
+    - type: max_accuracy
+      value: 99.76633663366337
+    - type: max_ap
+      value: 93.84480825492724
+    - type: max_f1
+      value: 87.97145769622833
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 48.078155553339585
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.34857297824906
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 50.06219491505384
+    - type: mrr
+      value: 50.77479097699686
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.48401937651373
+    - type: cos_sim_spearman
+      value: 31.048654273022606
+    - type: dot_pearson
+      value: 30.484020082707847
+    - type: dot_spearman
+      value: 31.048654273022606
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.183
+    - type: map_at_10
+      value: 1.32
+    - type: map_at_100
+      value: 7.01
+    - type: map_at_1000
+      value: 16.957
+    - type: map_at_3
+      value: 0.481
+    - type: map_at_5
+      value: 0.737
+    - type: mrr_at_1
+      value: 66.0
+    - type: mrr_at_10
+      value: 78.7
+    - type: mrr_at_100
+      value: 78.7
+    - type: mrr_at_1000
+      value: 78.7
+    - type: mrr_at_3
+      value: 76.0
+    - type: mrr_at_5
+      value: 78.7
+    - type: ndcg_at_1
+      value: 56.99999999999999
+    - type: ndcg_at_10
+      value: 55.846
+    - type: ndcg_at_100
+      value: 43.138
+    - type: ndcg_at_1000
+      value: 39.4
+    - type: ndcg_at_3
+      value: 57.306999999999995
+    - type: ndcg_at_5
+      value: 57.294
+    - type: precision_at_1
+      value: 66.0
+    - type: precision_at_10
+      value: 60.0
+    - type: precision_at_100
+      value: 44.6
+    - type: precision_at_1000
+      value: 17.8
+    - type: precision_at_3
+      value: 62.0
+    - type: precision_at_5
+      value: 62.0
+    - type: recall_at_1
+      value: 0.183
+    - type: recall_at_10
+      value: 1.583
+    - type: recall_at_100
+      value: 10.412
+    - type: recall_at_1000
+      value: 37.358999999999995
+    - type: recall_at_3
+      value: 0.516
+    - type: recall_at_5
+      value: 0.845
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.7420000000000002
+    - type: map_at_10
+      value: 6.4879999999999995
+    - type: map_at_100
+      value: 11.654
+    - type: map_at_1000
+      value: 13.23
+    - type: map_at_3
+      value: 3.148
+    - type: map_at_5
+      value: 4.825
+    - type: mrr_at_1
+      value: 18.367
+    - type: mrr_at_10
+      value: 30.258000000000003
+    - type: mrr_at_100
+      value: 31.570999999999998
+    - type: mrr_at_1000
+      value: 31.594
+    - type: mrr_at_3
+      value: 26.19
+    - type: mrr_at_5
+      value: 28.027
+    - type: ndcg_at_1
+      value: 15.306000000000001
+    - type: ndcg_at_10
+      value: 15.608
+    - type: ndcg_at_100
+      value: 28.808
+    - type: ndcg_at_1000
+      value: 41.603
+    - type: ndcg_at_3
+      value: 13.357
+    - type: ndcg_at_5
+      value: 15.306000000000001
+    - type: precision_at_1
+      value: 18.367
+    - type: precision_at_10
+      value: 15.101999999999999
+    - type: precision_at_100
+      value: 6.49
+    - type: precision_at_1000
+      value: 1.488
+    - type: precision_at_3
+      value: 14.966
+    - type: precision_at_5
+      value: 17.143
+    - type: recall_at_1
+      value: 1.7420000000000002
+    - type: recall_at_10
+      value: 12.267
+    - type: recall_at_100
+      value: 41.105999999999995
+    - type: recall_at_1000
+      value: 80.569
+    - type: recall_at_3
+      value: 4.009
+    - type: recall_at_5
+      value: 7.417999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 65.1178
+    - type: ap
+      value: 11.974961582206614
+    - type: f1
+      value: 50.24491996814835
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 51.63271080928127
+    - type: f1
+      value: 51.81589904316042
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 40.791709673552276
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.05418131966383
+    - type: cos_sim_ap
+      value: 64.72353098186304
+    - type: cos_sim_f1
+      value: 61.313330054107226
+    - type: cos_sim_precision
+      value: 57.415937356057114
+    - type: cos_sim_recall
+      value: 65.77836411609499
+    - type: dot_accuracy
+      value: 83.05418131966383
+    - type: dot_ap
+      value: 64.72352701424393
+    - type: dot_f1
+      value: 61.313330054107226
+    - type: dot_precision
+      value: 57.415937356057114
+    - type: dot_recall
+      value: 65.77836411609499
+    - type: euclidean_accuracy
+      value: 83.05418131966383
+    - type: euclidean_ap
+      value: 64.72353124585976
+    - type: euclidean_f1
+      value: 61.313330054107226
+    - type: euclidean_precision
+      value: 57.415937356057114
+    - type: euclidean_recall
+      value: 65.77836411609499
+    - type: manhattan_accuracy
+      value: 82.98861536627525
+    - type: manhattan_ap
+      value: 64.53981837182303
+    - type: manhattan_f1
+      value: 60.94911377930246
+    - type: manhattan_precision
+      value: 53.784056508577194
+    - type: manhattan_recall
+      value: 70.31662269129288
+    - type: max_accuracy
+      value: 83.05418131966383
+    - type: max_ap
+      value: 64.72353124585976
+    - type: max_f1
+      value: 61.313330054107226
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.06225016493966
+    - type: cos_sim_ap
+      value: 84.00829172423475
+    - type: cos_sim_f1
+      value: 76.1288446157202
+    - type: cos_sim_precision
+      value: 72.11737153877945
+    - type: cos_sim_recall
+      value: 80.61287342161995
+    - type: dot_accuracy
+      value: 88.06225016493966
+    - type: dot_ap
+      value: 84.00827913374181
+    - type: dot_f1
+      value: 76.1288446157202
+    - type: dot_precision
+      value: 72.11737153877945
+    - type: dot_recall
+      value: 80.61287342161995
+    - type: euclidean_accuracy
+      value: 88.06225016493966
+    - type: euclidean_ap
+      value: 84.00827099295034
+    - type: euclidean_f1
+      value: 76.1288446157202
+    - type: euclidean_precision
+      value: 72.11737153877945
+    - type: euclidean_recall
+      value: 80.61287342161995
+    - type: manhattan_accuracy
+      value: 88.05642876547523
+    - type: manhattan_ap
+      value: 83.9157542691417
+    - type: manhattan_f1
+      value: 76.09045667447307
+    - type: manhattan_precision
+      value: 72.50348675034869
+    - type: manhattan_recall
+      value: 80.05081613797351
+    - type: max_accuracy
+      value: 88.06225016493966
+    - type: max_ap
+      value: 84.00829172423475
+    - type: max_f1
+      value: 76.1288446157202
+---
+
+MTEB evaluation results on English language for 'multi-qa-MiniLM-L6-cos-v1' sbert model
+
+Model and licence can be found [here](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1)