Create README.md

README.md

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+---
+tags:
+- mteb
+- feature-extraction
+- sentence-similarity
+model-index:
+- name: v2
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 76.56716417910448
+    - type: ap
+      value: 39.864746145463656
+    - type: f1
+      value: 70.60275403114987
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 93.46427500000001
+    - type: ap
+      value: 90.36283359936121
+    - type: f1
+      value: 93.45329322673612
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.77199999999999
+    - type: f1
+      value: 48.16695258838576
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.184999999999995
+    - type: map_at_10
+      value: 56.114
+    - type: map_at_100
+      value: 56.676
+    - type: map_at_1000
+      value: 56.68
+    - type: map_at_3
+      value: 51.968
+    - type: map_at_5
+      value: 54.642
+    - type: mrr_at_1
+      value: 40.896
+    - type: mrr_at_10
+      value: 56.388000000000005
+    - type: mrr_at_100
+      value: 56.95099999999999
+    - type: mrr_at_1000
+      value: 56.95400000000001
+    - type: mrr_at_3
+      value: 52.251999999999995
+    - type: mrr_at_5
+      value: 54.879999999999995
+    - type: ndcg_at_1
+      value: 40.184999999999995
+    - type: ndcg_at_10
+      value: 64.253
+    - type: ndcg_at_100
+      value: 66.47
+    - type: ndcg_at_1000
+      value: 66.549
+    - type: ndcg_at_3
+      value: 55.945
+    - type: ndcg_at_5
+      value: 60.742
+    - type: precision_at_1
+      value: 40.184999999999995
+    - type: precision_at_10
+      value: 8.982999999999999
+    - type: precision_at_100
+      value: 0.991
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 22.499
+    - type: precision_at_5
+      value: 15.817999999999998
+    - type: recall_at_1
+      value: 40.184999999999995
+    - type: recall_at_10
+      value: 89.82900000000001
+    - type: recall_at_100
+      value: 99.075
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 67.496
+    - type: recall_at_5
+      value: 79.09
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 49.64684811204023
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 43.6640710523389
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 63.71316367624821
+    - type: mrr
+      value: 77.02534845886647
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.96786300506704
+    - type: cos_sim_spearman
+      value: 88.08212749295554
+    - type: euclidean_pearson
+      value: 87.1561534920524
+    - type: euclidean_spearman
+      value: 88.016463346151
+    - type: manhattan_pearson
+      value: 87.19359910450564
+    - type: manhattan_spearman
+      value: 88.10803169765825
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 87.46103896103897
+    - type: f1
+      value: 87.4315144014101
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 41.03554871732576
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 37.974813344124264
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.174
+    - type: map_at_10
+      value: 45.728
+    - type: map_at_100
+      value: 47.266999999999996
+    - type: map_at_1000
+      value: 47.39
+    - type: map_at_3
+      value: 41.667
+    - type: map_at_5
+      value: 44.028
+    - type: mrr_at_1
+      value: 41.202
+    - type: mrr_at_10
+      value: 51.49
+    - type: mrr_at_100
+      value: 52.159
+    - type: mrr_at_1000
+      value: 52.197
+    - type: mrr_at_3
+      value: 48.379
+    - type: mrr_at_5
+      value: 50.331
+    - type: ndcg_at_1
+      value: 41.202
+    - type: ndcg_at_10
+      value: 52.38699999999999
+    - type: ndcg_at_100
+      value: 57.611999999999995
+    - type: ndcg_at_1000
+      value: 59.318000000000005
+    - type: ndcg_at_3
+      value: 46.516000000000005
+    - type: ndcg_at_5
+      value: 49.519000000000005
+    - type: precision_at_1
+      value: 41.202
+    - type: precision_at_10
+      value: 9.971
+    - type: precision_at_100
+      value: 1.5879999999999999
+    - type: precision_at_1000
+      value: 0.20500000000000002
+    - type: precision_at_3
+      value: 22.031
+    - type: precision_at_5
+      value: 16.309
+    - type: recall_at_1
+      value: 34.174
+    - type: recall_at_10
+      value: 65.32900000000001
+    - type: recall_at_100
+      value: 86.64
+    - type: recall_at_1000
+      value: 97.069
+    - type: recall_at_3
+      value: 48.607
+    - type: recall_at_5
+      value: 56.615
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.73
+    - type: map_at_10
+      value: 45.617999999999995
+    - type: map_at_100
+      value: 46.888000000000005
+    - type: map_at_1000
+      value: 47.016999999999996
+    - type: map_at_3
+      value: 42.425000000000004
+    - type: map_at_5
+      value: 44.214999999999996
+    - type: mrr_at_1
+      value: 43.631
+    - type: mrr_at_10
+      value: 52.014
+    - type: mrr_at_100
+      value: 52.6
+    - type: mrr_at_1000
+      value: 52.637
+    - type: mrr_at_3
+      value: 50.021
+    - type: mrr_at_5
+      value: 51.23799999999999
+    - type: ndcg_at_1
+      value: 43.631
+    - type: ndcg_at_10
+      value: 51.458000000000006
+    - type: ndcg_at_100
+      value: 55.61000000000001
+    - type: ndcg_at_1000
+      value: 57.462
+    - type: ndcg_at_3
+      value: 47.461
+    - type: ndcg_at_5
+      value: 49.312
+    - type: precision_at_1
+      value: 43.631
+    - type: precision_at_10
+      value: 9.661999999999999
+    - type: precision_at_100
+      value: 1.5270000000000001
+    - type: precision_at_1000
+      value: 0.198
+    - type: precision_at_3
+      value: 22.823999999999998
+    - type: precision_at_5
+      value: 16.075999999999997
+    - type: recall_at_1
+      value: 34.73
+    - type: recall_at_10
+      value: 61.041999999999994
+    - type: recall_at_100
+      value: 78.658
+    - type: recall_at_1000
+      value: 90.215
+    - type: recall_at_3
+      value: 48.952
+    - type: recall_at_5
+      value: 54.422000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 42.047000000000004
+    - type: map_at_10
+      value: 55.669999999999995
+    - type: map_at_100
+      value: 56.676
+    - type: map_at_1000
+      value: 56.728
+    - type: map_at_3
+      value: 52.275000000000006
+    - type: map_at_5
+      value: 54.254000000000005
+    - type: mrr_at_1
+      value: 48.15
+    - type: mrr_at_10
+      value: 59.036
+    - type: mrr_at_100
+      value: 59.650999999999996
+    - type: mrr_at_1000
+      value: 59.675
+    - type: mrr_at_3
+      value: 56.760999999999996
+    - type: mrr_at_5
+      value: 58.087
+    - type: ndcg_at_1
+      value: 48.15
+    - type: ndcg_at_10
+      value: 61.709
+    - type: ndcg_at_100
+      value: 65.446
+    - type: ndcg_at_1000
+      value: 66.388
+    - type: ndcg_at_3
+      value: 56.333
+    - type: ndcg_at_5
+      value: 59.028000000000006
+    - type: precision_at_1
+      value: 48.15
+    - type: precision_at_10
+      value: 9.893
+    - type: precision_at_100
+      value: 1.265
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 25.266
+    - type: precision_at_5
+      value: 17.204
+    - type: recall_at_1
+      value: 42.047000000000004
+    - type: recall_at_10
+      value: 76.004
+    - type: recall_at_100
+      value: 91.727
+    - type: recall_at_1000
+      value: 98.213
+    - type: recall_at_3
+      value: 61.82
+    - type: recall_at_5
+      value: 68.42200000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.985
+    - type: map_at_10
+      value: 38.763999999999996
+    - type: map_at_100
+      value: 39.835
+    - type: map_at_1000
+      value: 39.900000000000006
+    - type: map_at_3
+      value: 35.826
+    - type: map_at_5
+      value: 37.403
+    - type: mrr_at_1
+      value: 32.202999999999996
+    - type: mrr_at_10
+      value: 40.94
+    - type: mrr_at_100
+      value: 41.861
+    - type: mrr_at_1000
+      value: 41.909
+    - type: mrr_at_3
+      value: 38.267
+    - type: mrr_at_5
+      value: 39.748
+    - type: ndcg_at_1
+      value: 32.202999999999996
+    - type: ndcg_at_10
+      value: 43.909
+    - type: ndcg_at_100
+      value: 49.028
+    - type: ndcg_at_1000
+      value: 50.714999999999996
+    - type: ndcg_at_3
+      value: 38.239000000000004
+    - type: ndcg_at_5
+      value: 40.854
+    - type: precision_at_1
+      value: 32.202999999999996
+    - type: precision_at_10
+      value: 6.621
+    - type: precision_at_100
+      value: 0.964
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 15.781999999999998
+    - type: precision_at_5
+      value: 10.96
+    - type: recall_at_1
+      value: 29.985
+    - type: recall_at_10
+      value: 57.727
+    - type: recall_at_100
+      value: 80.833
+    - type: recall_at_1000
+      value: 93.625
+    - type: recall_at_3
+      value: 42.396
+    - type: recall_at_5
+      value: 48.624
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.249
+    - type: map_at_10
+      value: 28.565
+    - type: map_at_100
+      value: 29.753
+    - type: map_at_1000
+      value: 29.881
+    - type: map_at_3
+      value: 25.778000000000002
+    - type: map_at_5
+      value: 27.21
+    - type: mrr_at_1
+      value: 23.632
+    - type: mrr_at_10
+      value: 33.51
+    - type: mrr_at_100
+      value: 34.372
+    - type: mrr_at_1000
+      value: 34.443
+    - type: mrr_at_3
+      value: 30.784
+    - type: mrr_at_5
+      value: 32.301
+    - type: ndcg_at_1
+      value: 23.632
+    - type: ndcg_at_10
+      value: 34.42
+    - type: ndcg_at_100
+      value: 39.823
+    - type: ndcg_at_1000
+      value: 42.558
+    - type: ndcg_at_3
+      value: 29.237000000000002
+    - type: ndcg_at_5
+      value: 31.465
+    - type: precision_at_1
+      value: 23.632
+    - type: precision_at_10
+      value: 6.331
+    - type: precision_at_100
+      value: 1.042
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 14.179
+    - type: precision_at_5
+      value: 10.299
+    - type: recall_at_1
+      value: 19.249
+    - type: recall_at_10
+      value: 47.539
+    - type: recall_at_100
+      value: 70.612
+    - type: recall_at_1000
+      value: 89.633
+    - type: recall_at_3
+      value: 33.082
+    - type: recall_at_5
+      value: 38.622
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.599
+    - type: map_at_10
+      value: 42.948
+    - type: map_at_100
+      value: 44.244
+    - type: map_at_1000
+      value: 44.352000000000004
+    - type: map_at_3
+      value: 39.352
+    - type: map_at_5
+      value: 41.397
+    - type: mrr_at_1
+      value: 38.21
+    - type: mrr_at_10
+      value: 48.347
+    - type: mrr_at_100
+      value: 49.132999999999996
+    - type: mrr_at_1000
+      value: 49.171
+    - type: mrr_at_3
+      value: 45.653
+    - type: mrr_at_5
+      value: 47.323
+    - type: ndcg_at_1
+      value: 38.21
+    - type: ndcg_at_10
+      value: 49.225
+    - type: ndcg_at_100
+      value: 54.422000000000004
+    - type: ndcg_at_1000
+      value: 56.27799999999999
+    - type: ndcg_at_3
+      value: 43.482
+    - type: ndcg_at_5
+      value: 46.321
+    - type: precision_at_1
+      value: 38.21
+    - type: precision_at_10
+      value: 8.921999999999999
+    - type: precision_at_100
+      value: 1.333
+    - type: precision_at_1000
+      value: 0.169
+    - type: precision_at_3
+      value: 20.372
+    - type: precision_at_5
+      value: 14.629
+    - type: recall_at_1
+      value: 31.599
+    - type: recall_at_10
+      value: 62.364
+    - type: recall_at_100
+      value: 83.91199999999999
+    - type: recall_at_1000
+      value: 95.743
+    - type: recall_at_3
+      value: 46.671
+    - type: recall_at_5
+      value: 53.772
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.641
+    - type: map_at_10
+      value: 37.604
+    - type: map_at_100
+      value: 38.897
+    - type: map_at_1000
+      value: 39.001000000000005
+    - type: map_at_3
+      value: 34.04
+    - type: map_at_5
+      value: 35.684
+    - type: mrr_at_1
+      value: 32.991
+    - type: mrr_at_10
+      value: 43.029
+    - type: mrr_at_100
+      value: 43.782
+    - type: mrr_at_1000
+      value: 43.830999999999996
+    - type: mrr_at_3
+      value: 40.164
+    - type: mrr_at_5
+      value: 41.619
+    - type: ndcg_at_1
+      value: 32.991
+    - type: ndcg_at_10
+      value: 44.217
+    - type: ndcg_at_100
+      value: 49.497
+    - type: ndcg_at_1000
+      value: 51.598
+    - type: ndcg_at_3
+      value: 38.208999999999996
+    - type: ndcg_at_5
+      value: 40.444
+    - type: precision_at_1
+      value: 32.991
+    - type: precision_at_10
+      value: 8.436
+    - type: precision_at_100
+      value: 1.279
+    - type: precision_at_1000
+      value: 0.163
+    - type: precision_at_3
+      value: 18.379
+    - type: precision_at_5
+      value: 13.196
+    - type: recall_at_1
+      value: 26.641
+    - type: recall_at_10
+      value: 58.50300000000001
+    - type: recall_at_100
+      value: 81.228
+    - type: recall_at_1000
+      value: 95.345
+    - type: recall_at_3
+      value: 41.6
+    - type: recall_at_5
+      value: 47.425
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.678083333333333
+    - type: map_at_10
+      value: 38.63366666666666
+    - type: map_at_100
+      value: 39.84708333333333
+    - type: map_at_1000
+      value: 39.959583333333335
+    - type: map_at_3
+      value: 35.49
+    - type: map_at_5
+      value: 37.23125
+    - type: mrr_at_1
+      value: 33.813916666666664
+    - type: mrr_at_10
+      value: 42.955500000000015
+    - type: mrr_at_100
+      value: 43.75541666666667
+    - type: mrr_at_1000
+      value: 43.80616666666666
+    - type: mrr_at_3
+      value: 40.40191666666667
+    - type: mrr_at_5
+      value: 41.88358333333333
+    - type: ndcg_at_1
+      value: 33.813916666666664
+    - type: ndcg_at_10
+      value: 44.361666666666665
+    - type: ndcg_at_100
+      value: 49.37991666666667
+    - type: ndcg_at_1000
+      value: 51.432583333333326
+    - type: ndcg_at_3
+      value: 39.12949999999999
+    - type: ndcg_at_5
+      value: 41.60183333333333
+    - type: precision_at_1
+      value: 33.813916666666664
+    - type: precision_at_10
+      value: 7.759250000000002
+    - type: precision_at_100
+      value: 1.2108333333333332
+    - type: precision_at_1000
+      value: 0.158
+    - type: precision_at_3
+      value: 17.90716666666667
+    - type: precision_at_5
+      value: 12.765333333333334
+    - type: recall_at_1
+      value: 28.678083333333333
+    - type: recall_at_10
+      value: 56.92716666666667
+    - type: recall_at_100
+      value: 78.74991666666668
+    - type: recall_at_1000
+      value: 92.73875000000001
+    - type: recall_at_3
+      value: 42.459916666666665
+    - type: recall_at_5
+      value: 48.76258333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.282
+    - type: map_at_10
+      value: 34.458
+    - type: map_at_100
+      value: 35.44
+    - type: map_at_1000
+      value: 35.536
+    - type: map_at_3
+      value: 31.912000000000003
+    - type: map_at_5
+      value: 33.495000000000005
+    - type: mrr_at_1
+      value: 30.675
+    - type: mrr_at_10
+      value: 37.563
+    - type: mrr_at_100
+      value: 38.374
+    - type: mrr_at_1000
+      value: 38.444
+    - type: mrr_at_3
+      value: 35.276
+    - type: mrr_at_5
+      value: 36.718
+    - type: ndcg_at_1
+      value: 30.675
+    - type: ndcg_at_10
+      value: 38.838
+    - type: ndcg_at_100
+      value: 43.527
+    - type: ndcg_at_1000
+      value: 45.891
+    - type: ndcg_at_3
+      value: 34.314
+    - type: ndcg_at_5
+      value: 36.789
+    - type: precision_at_1
+      value: 30.675
+    - type: precision_at_10
+      value: 6.012
+    - type: precision_at_100
+      value: 0.903
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 14.571000000000002
+    - type: precision_at_5
+      value: 10.306999999999999
+    - type: recall_at_1
+      value: 27.282
+    - type: recall_at_10
+      value: 49.198
+    - type: recall_at_100
+      value: 70.489
+    - type: recall_at_1000
+      value: 87.902
+    - type: recall_at_3
+      value: 36.966
+    - type: recall_at_5
+      value: 43.079
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.839000000000002
+    - type: map_at_10
+      value: 27.68
+    - type: map_at_100
+      value: 28.851
+    - type: map_at_1000
+      value: 28.977999999999998
+    - type: map_at_3
+      value: 25.062
+    - type: map_at_5
+      value: 26.389000000000003
+    - type: mrr_at_1
+      value: 23.813000000000002
+    - type: mrr_at_10
+      value: 31.628
+    - type: mrr_at_100
+      value: 32.58
+    - type: mrr_at_1000
+      value: 32.655
+    - type: mrr_at_3
+      value: 29.29
+    - type: mrr_at_5
+      value: 30.551000000000002
+    - type: ndcg_at_1
+      value: 23.813000000000002
+    - type: ndcg_at_10
+      value: 32.751000000000005
+    - type: ndcg_at_100
+      value: 38.218
+    - type: ndcg_at_1000
+      value: 40.979
+    - type: ndcg_at_3
+      value: 28.043000000000003
+    - type: ndcg_at_5
+      value: 30.043
+    - type: precision_at_1
+      value: 23.813000000000002
+    - type: precision_at_10
+      value: 5.936
+    - type: precision_at_100
+      value: 1.016
+    - type: precision_at_1000
+      value: 0.14400000000000002
+    - type: precision_at_3
+      value: 13.145000000000001
+    - type: precision_at_5
+      value: 9.443
+    - type: recall_at_1
+      value: 19.839000000000002
+    - type: recall_at_10
+      value: 44.072
+    - type: recall_at_100
+      value: 68.406
+    - type: recall_at_1000
+      value: 87.749
+    - type: recall_at_3
+      value: 30.906
+    - type: recall_at_5
+      value: 36.081
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.195999999999998
+    - type: map_at_10
+      value: 38.345
+    - type: map_at_100
+      value: 39.561
+    - type: map_at_1000
+      value: 39.65
+    - type: map_at_3
+      value: 35.382999999999996
+    - type: map_at_5
+      value: 37.023
+    - type: mrr_at_1
+      value: 33.022
+    - type: mrr_at_10
+      value: 42.504
+    - type: mrr_at_100
+      value: 43.376
+    - type: mrr_at_1000
+      value: 43.427
+    - type: mrr_at_3
+      value: 40.050000000000004
+    - type: mrr_at_5
+      value: 41.421
+    - type: ndcg_at_1
+      value: 33.022
+    - type: ndcg_at_10
+      value: 43.997
+    - type: ndcg_at_100
+      value: 49.370000000000005
+    - type: ndcg_at_1000
+      value: 51.38399999999999
+    - type: ndcg_at_3
+      value: 38.802
+    - type: ndcg_at_5
+      value: 41.209
+    - type: precision_at_1
+      value: 33.022
+    - type: precision_at_10
+      value: 7.351000000000001
+    - type: precision_at_100
+      value: 1.1440000000000001
+    - type: precision_at_1000
+      value: 0.14200000000000002
+    - type: precision_at_3
+      value: 17.724
+    - type: precision_at_5
+      value: 12.443999999999999
+    - type: recall_at_1
+      value: 28.195999999999998
+    - type: recall_at_10
+      value: 57.011
+    - type: recall_at_100
+      value: 79.922
+    - type: recall_at_1000
+      value: 93.952
+    - type: recall_at_3
+      value: 42.857
+    - type: recall_at_5
+      value: 48.916
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.768
+    - type: map_at_10
+      value: 35.118
+    - type: map_at_100
+      value: 36.817
+    - type: map_at_1000
+      value: 37.037
+    - type: map_at_3
+      value: 31.997999999999998
+    - type: map_at_5
+      value: 33.697
+    - type: mrr_at_1
+      value: 31.621
+    - type: mrr_at_10
+      value: 40.228
+    - type: mrr_at_100
+      value: 41.239
+    - type: mrr_at_1000
+      value: 41.277
+    - type: mrr_at_3
+      value: 37.614999999999995
+    - type: mrr_at_5
+      value: 39.058
+    - type: ndcg_at_1
+      value: 31.621
+    - type: ndcg_at_10
+      value: 41.347
+    - type: ndcg_at_100
+      value: 47.620000000000005
+    - type: ndcg_at_1000
+      value: 49.759
+    - type: ndcg_at_3
+      value: 36.361
+    - type: ndcg_at_5
+      value: 38.635000000000005
+    - type: precision_at_1
+      value: 31.621
+    - type: precision_at_10
+      value: 8.024000000000001
+    - type: precision_at_100
+      value: 1.595
+    - type: precision_at_1000
+      value: 0.244
+    - type: precision_at_3
+      value: 16.996
+    - type: precision_at_5
+      value: 12.372
+    - type: recall_at_1
+      value: 25.768
+    - type: recall_at_10
+      value: 53.02
+    - type: recall_at_100
+      value: 81.329
+    - type: recall_at_1000
+      value: 94.025
+    - type: recall_at_3
+      value: 38.884
+    - type: recall_at_5
+      value: 45.057
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.627
+    - type: map_at_10
+      value: 33.106
+    - type: map_at_100
+      value: 33.936
+    - type: map_at_1000
+      value: 34.044999999999995
+    - type: map_at_3
+      value: 30.162
+    - type: map_at_5
+      value: 31.979999999999997
+    - type: mrr_at_1
+      value: 26.617
+    - type: mrr_at_10
+      value: 35.177
+    - type: mrr_at_100
+      value: 35.937999999999995
+    - type: mrr_at_1000
+      value: 36.008
+    - type: mrr_at_3
+      value: 32.562999999999995
+    - type: mrr_at_5
+      value: 34.208
+    - type: ndcg_at_1
+      value: 26.617
+    - type: ndcg_at_10
+      value: 38.082
+    - type: ndcg_at_100
+      value: 42.386
+    - type: ndcg_at_1000
+      value: 44.861000000000004
+    - type: ndcg_at_3
+      value: 32.557
+    - type: ndcg_at_5
+      value: 35.603
+    - type: precision_at_1
+      value: 26.617
+    - type: precision_at_10
+      value: 5.952
+    - type: precision_at_100
+      value: 0.874
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 13.617
+    - type: precision_at_5
+      value: 9.945
+    - type: recall_at_1
+      value: 24.627
+    - type: recall_at_10
+      value: 51.317
+    - type: recall_at_100
+      value: 71.243
+    - type: recall_at_1000
+      value: 89.39399999999999
+    - type: recall_at_3
+      value: 36.778
+    - type: recall_at_5
+      value: 44.116
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.631
+    - type: map_at_10
+      value: 28.069
+    - type: map_at_100
+      value: 30.130000000000003
+    - type: map_at_1000
+      value: 30.318
+    - type: map_at_3
+      value: 23.430999999999997
+    - type: map_at_5
+      value: 25.929000000000002
+    - type: mrr_at_1
+      value: 37.264
+    - type: mrr_at_10
+      value: 49.608999999999995
+    - type: mrr_at_100
+      value: 50.349
+    - type: mrr_at_1000
+      value: 50.373000000000005
+    - type: mrr_at_3
+      value: 46.515
+    - type: mrr_at_5
+      value: 48.41
+    - type: ndcg_at_1
+      value: 37.264
+    - type: ndcg_at_10
+      value: 37.688
+    - type: ndcg_at_100
+      value: 45.101
+    - type: ndcg_at_1000
+      value: 48.19
+    - type: ndcg_at_3
+      value: 31.471
+    - type: ndcg_at_5
+      value: 33.719
+    - type: precision_at_1
+      value: 37.264
+    - type: precision_at_10
+      value: 11.616
+    - type: precision_at_100
+      value: 1.9619999999999997
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 23.214000000000002
+    - type: precision_at_5
+      value: 17.824
+    - type: recall_at_1
+      value: 16.631
+    - type: recall_at_10
+      value: 43.516
+    - type: recall_at_100
+      value: 68.681
+    - type: recall_at_1000
+      value: 85.751
+    - type: recall_at_3
+      value: 28.199
+    - type: recall_at_5
+      value: 34.826
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.971
+    - type: map_at_10
+      value: 22.274
+    - type: map_at_100
+      value: 32.61
+    - type: map_at_1000
+      value: 34.422000000000004
+    - type: map_at_3
+      value: 15.473999999999998
+    - type: map_at_5
+      value: 18.412
+    - type: mrr_at_1
+      value: 72.25
+    - type: mrr_at_10
+      value: 79.945
+    - type: mrr_at_100
+      value: 80.192
+    - type: mrr_at_1000
+      value: 80.199
+    - type: mrr_at_3
+      value: 78.667
+    - type: mrr_at_5
+      value: 79.49199999999999
+    - type: ndcg_at_1
+      value: 59.75
+    - type: ndcg_at_10
+      value: 45.689
+    - type: ndcg_at_100
+      value: 51.687000000000005
+    - type: ndcg_at_1000
+      value: 58.904999999999994
+    - type: ndcg_at_3
+      value: 49.675999999999995
+    - type: ndcg_at_5
+      value: 47.419
+    - type: precision_at_1
+      value: 72.25
+    - type: precision_at_10
+      value: 37.05
+    - type: precision_at_100
+      value: 12.183
+    - type: precision_at_1000
+      value: 2.2929999999999997
+    - type: precision_at_3
+      value: 53.417
+    - type: precision_at_5
+      value: 46.150000000000006
+    - type: recall_at_1
+      value: 9.971
+    - type: recall_at_10
+      value: 27.932000000000002
+    - type: recall_at_100
+      value: 58.85399999999999
+    - type: recall_at_1000
+      value: 81.728
+    - type: recall_at_3
+      value: 16.619999999999997
+    - type: recall_at_5
+      value: 21.082
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 52.83499999999999
+    - type: f1
+      value: 47.754076079187044
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 79.783
+    - type: map_at_10
+      value: 87.224
+    - type: map_at_100
+      value: 87.401
+    - type: map_at_1000
+      value: 87.413
+    - type: map_at_3
+      value: 86.29
+    - type: map_at_5
+      value: 86.896
+    - type: mrr_at_1
+      value: 86.09400000000001
+    - type: mrr_at_10
+      value: 91.789
+    - type: mrr_at_100
+      value: 91.814
+    - type: mrr_at_1000
+      value: 91.815
+    - type: mrr_at_3
+      value: 91.39399999999999
+    - type: mrr_at_5
+      value: 91.684
+    - type: ndcg_at_1
+      value: 86.09400000000001
+    - type: ndcg_at_10
+      value: 90.36999999999999
+    - type: ndcg_at_100
+      value: 90.95299999999999
+    - type: ndcg_at_1000
+      value: 91.13799999999999
+    - type: ndcg_at_3
+      value: 89.13799999999999
+    - type: ndcg_at_5
+      value: 89.845
+    - type: precision_at_1
+      value: 86.09400000000001
+    - type: precision_at_10
+      value: 10.671
+    - type: precision_at_100
+      value: 1.123
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 33.698
+    - type: precision_at_5
+      value: 20.788999999999998
+    - type: recall_at_1
+      value: 79.783
+    - type: recall_at_10
+      value: 95.50999999999999
+    - type: recall_at_100
+      value: 97.68900000000001
+    - type: recall_at_1000
+      value: 98.79400000000001
+    - type: recall_at_3
+      value: 92.14099999999999
+    - type: recall_at_5
+      value: 94.0
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.526
+    - type: map_at_10
+      value: 38.135999999999996
+    - type: map_at_100
+      value: 40.221000000000004
+    - type: map_at_1000
+      value: 40.394000000000005
+    - type: map_at_3
+      value: 33.548
+    - type: map_at_5
+      value: 35.975
+    - type: mrr_at_1
+      value: 47.068
+    - type: mrr_at_10
+      value: 55.224
+    - type: mrr_at_100
+      value: 56.038
+    - type: mrr_at_1000
+      value: 56.066
+    - type: mrr_at_3
+      value: 53.00899999999999
+    - type: mrr_at_5
+      value: 54.306
+    - type: ndcg_at_1
+      value: 47.068
+    - type: ndcg_at_10
+      value: 46.399
+    - type: ndcg_at_100
+      value: 53.312000000000005
+    - type: ndcg_at_1000
+      value: 55.946
+    - type: ndcg_at_3
+      value: 42.954
+    - type: ndcg_at_5
+      value: 43.765
+    - type: precision_at_1
+      value: 47.068
+    - type: precision_at_10
+      value: 12.824
+    - type: precision_at_100
+      value: 1.986
+    - type: precision_at_1000
+      value: 0.246
+    - type: precision_at_3
+      value: 28.807
+    - type: precision_at_5
+      value: 20.772
+    - type: recall_at_1
+      value: 23.526
+    - type: recall_at_10
+      value: 53.242999999999995
+    - type: recall_at_100
+      value: 78.309
+    - type: recall_at_1000
+      value: 93.92099999999999
+    - type: recall_at_3
+      value: 38.716
+    - type: recall_at_5
+      value: 44.921
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.641
+    - type: map_at_10
+      value: 67.24
+    - type: map_at_100
+      value: 68.108
+    - type: map_at_1000
+      value: 68.157
+    - type: map_at_3
+      value: 63.834999999999994
+    - type: map_at_5
+      value: 65.995
+    - type: mrr_at_1
+      value: 83.282
+    - type: mrr_at_10
+      value: 88.22
+    - type: mrr_at_100
+      value: 88.35499999999999
+    - type: mrr_at_1000
+      value: 88.358
+    - type: mrr_at_3
+      value: 87.571
+    - type: mrr_at_5
+      value: 88.01299999999999
+    - type: ndcg_at_1
+      value: 83.282
+    - type: ndcg_at_10
+      value: 75.066
+    - type: ndcg_at_100
+      value: 77.952
+    - type: ndcg_at_1000
+      value: 78.878
+    - type: ndcg_at_3
+      value: 70.482
+    - type: ndcg_at_5
+      value: 73.098
+    - type: precision_at_1
+      value: 83.282
+    - type: precision_at_10
+      value: 15.608
+    - type: precision_at_100
+      value: 1.7840000000000003
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_3
+      value: 45.324999999999996
+    - type: precision_at_5
+      value: 29.256
+    - type: recall_at_1
+      value: 41.641
+    - type: recall_at_10
+      value: 78.042
+    - type: recall_at_100
+      value: 89.223
+    - type: recall_at_1000
+      value: 95.341
+    - type: recall_at_3
+      value: 67.988
+    - type: recall_at_5
+      value: 73.14
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 93.50520000000002
+    - type: ap
+      value: 90.36560251927821
+    - type: f1
+      value: 93.50064413170799
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.355999999999998
+    - type: map_at_10
+      value: 36.082
+    - type: map_at_100
+      value: 37.239
+    - type: map_at_1000
+      value: 37.285000000000004
+    - type: map_at_3
+      value: 32.16
+    - type: map_at_5
+      value: 34.469
+    - type: mrr_at_1
+      value: 23.968
+    - type: mrr_at_10
+      value: 36.708
+    - type: mrr_at_100
+      value: 37.795
+    - type: mrr_at_1000
+      value: 37.836
+    - type: mrr_at_3
+      value: 32.865
+    - type: mrr_at_5
+      value: 35.154
+    - type: ndcg_at_1
+      value: 23.968
+    - type: ndcg_at_10
+      value: 43.152
+    - type: ndcg_at_100
+      value: 48.615
+    - type: ndcg_at_1000
+      value: 49.714000000000006
+    - type: ndcg_at_3
+      value: 35.208
+    - type: ndcg_at_5
+      value: 39.342
+    - type: precision_at_1
+      value: 23.968
+    - type: precision_at_10
+      value: 6.784
+    - type: precision_at_100
+      value: 0.951
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 14.995
+    - type: precision_at_5
+      value: 11.092
+    - type: recall_at_1
+      value: 23.355999999999998
+    - type: recall_at_10
+      value: 64.828
+    - type: recall_at_100
+      value: 89.888
+    - type: recall_at_1000
+      value: 98.181
+    - type: recall_at_3
+      value: 43.336000000000006
+    - type: recall_at_5
+      value: 53.274
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 94.97948016415869
+    - type: f1
+      value: 94.77285510790911
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 78.49749202006383
+    - type: f1
+      value: 59.36772995632707
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 77.64290517821117
+    - type: f1
+      value: 75.33296771580456
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 80.76664425016811
+    - type: f1
+      value: 80.79147962348141
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 35.158637354708034
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 32.39319499403552
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.19460802526735
+    - type: mrr
+      value: 33.39458959690712
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.225
+    - type: map_at_10
+      value: 15.609
+    - type: map_at_100
+      value: 20.067
+    - type: map_at_1000
+      value: 21.709999999999997
+    - type: map_at_3
+      value: 11.518
+    - type: map_at_5
+      value: 13.469999999999999
+    - type: mrr_at_1
+      value: 50.15500000000001
+    - type: mrr_at_10
+      value: 58.711
+    - type: mrr_at_100
+      value: 59.333000000000006
+    - type: mrr_at_1000
+      value: 59.362
+    - type: mrr_at_3
+      value: 56.65599999999999
+    - type: mrr_at_5
+      value: 57.972
+    - type: ndcg_at_1
+      value: 48.452
+    - type: ndcg_at_10
+      value: 38.845
+    - type: ndcg_at_100
+      value: 36.597
+    - type: ndcg_at_1000
+      value: 45.472
+    - type: ndcg_at_3
+      value: 43.947
+    - type: ndcg_at_5
+      value: 42.097
+    - type: precision_at_1
+      value: 49.845
+    - type: precision_at_10
+      value: 28.638
+    - type: precision_at_100
+      value: 9.229
+    - type: precision_at_1000
+      value: 2.234
+    - type: precision_at_3
+      value: 40.867
+    - type: precision_at_5
+      value: 36.285000000000004
+    - type: recall_at_1
+      value: 7.225
+    - type: recall_at_10
+      value: 19.272
+    - type: recall_at_100
+      value: 37.299
+    - type: recall_at_1000
+      value: 68.757
+    - type: recall_at_3
+      value: 12.350999999999999
+    - type: recall_at_5
+      value: 15.369
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.453
+    - type: map_at_10
+      value: 50.748000000000005
+    - type: map_at_100
+      value: 51.666000000000004
+    - type: map_at_1000
+      value: 51.687000000000005
+    - type: map_at_3
+      value: 46.300000000000004
+    - type: map_at_5
+      value: 49.032
+    - type: mrr_at_1
+      value: 38.673
+    - type: mrr_at_10
+      value: 53.11
+    - type: mrr_at_100
+      value: 53.772
+    - type: mrr_at_1000
+      value: 53.784
+    - type: mrr_at_3
+      value: 49.483
+    - type: mrr_at_5
+      value: 51.751999999999995
+    - type: ndcg_at_1
+      value: 38.673
+    - type: ndcg_at_10
+      value: 58.60300000000001
+    - type: ndcg_at_100
+      value: 62.302
+    - type: ndcg_at_1000
+      value: 62.763999999999996
+    - type: ndcg_at_3
+      value: 50.366
+    - type: ndcg_at_5
+      value: 54.888999999999996
+    - type: precision_at_1
+      value: 38.673
+    - type: precision_at_10
+      value: 9.522
+    - type: precision_at_100
+      value: 1.162
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 22.779
+    - type: precision_at_5
+      value: 16.256999999999998
+    - type: recall_at_1
+      value: 34.453
+    - type: recall_at_10
+      value: 80.074
+    - type: recall_at_100
+      value: 95.749
+    - type: recall_at_1000
+      value: 99.165
+    - type: recall_at_3
+      value: 58.897999999999996
+    - type: recall_at_5
+      value: 69.349
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.80499999999999
+    - type: map_at_10
+      value: 85.773
+    - type: map_at_100
+      value: 86.4
+    - type: map_at_1000
+      value: 86.414
+    - type: map_at_3
+      value: 82.919
+    - type: map_at_5
+      value: 84.70299999999999
+    - type: mrr_at_1
+      value: 82.69999999999999
+    - type: mrr_at_10
+      value: 88.592
+    - type: mrr_at_100
+      value: 88.682
+    - type: mrr_at_1000
+      value: 88.683
+    - type: mrr_at_3
+      value: 87.705
+    - type: mrr_at_5
+      value: 88.30799999999999
+    - type: ndcg_at_1
+      value: 82.69
+    - type: ndcg_at_10
+      value: 89.316
+    - type: ndcg_at_100
+      value: 90.45100000000001
+    - type: ndcg_at_1000
+      value: 90.525
+    - type: ndcg_at_3
+      value: 86.68
+    - type: ndcg_at_5
+      value: 88.113
+    - type: precision_at_1
+      value: 82.69
+    - type: precision_at_10
+      value: 13.507
+    - type: precision_at_100
+      value: 1.5350000000000001
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.927
+    - type: precision_at_5
+      value: 24.823999999999998
+    - type: recall_at_1
+      value: 71.80499999999999
+    - type: recall_at_10
+      value: 95.965
+    - type: recall_at_100
+      value: 99.70400000000001
+    - type: recall_at_1000
+      value: 99.992
+    - type: recall_at_3
+      value: 88.268
+    - type: recall_at_5
+      value: 92.45
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 60.24178219867024
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 64.99552099515469
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.4879999999999995
+    - type: map_at_10
+      value: 14.774999999999999
+    - type: map_at_100
+      value: 17.285
+    - type: map_at_1000
+      value: 17.648
+    - type: map_at_3
+      value: 10.4
+    - type: map_at_5
+      value: 12.552
+    - type: mrr_at_1
+      value: 27.1
+    - type: mrr_at_10
+      value: 39.251000000000005
+    - type: mrr_at_100
+      value: 40.335
+    - type: mrr_at_1000
+      value: 40.367
+    - type: mrr_at_3
+      value: 35.683
+    - type: mrr_at_5
+      value: 37.733
+    - type: ndcg_at_1
+      value: 27.1
+    - type: ndcg_at_10
+      value: 23.974
+    - type: ndcg_at_100
+      value: 33.161
+    - type: ndcg_at_1000
+      value: 38.853
+    - type: ndcg_at_3
+      value: 22.695999999999998
+    - type: ndcg_at_5
+      value: 19.881
+    - type: precision_at_1
+      value: 27.1
+    - type: precision_at_10
+      value: 12.479999999999999
+    - type: precision_at_100
+      value: 2.571
+    - type: precision_at_1000
+      value: 0.393
+    - type: precision_at_3
+      value: 21.367
+    - type: precision_at_5
+      value: 17.560000000000002
+    - type: recall_at_1
+      value: 5.4879999999999995
+    - type: recall_at_10
+      value: 25.290000000000003
+    - type: recall_at_100
+      value: 52.222
+    - type: recall_at_1000
+      value: 79.77300000000001
+    - type: recall_at_3
+      value: 13.001999999999999
+    - type: recall_at_5
+      value: 17.812
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.3407705934785
+    - type: cos_sim_spearman
+      value: 81.28145766913589
+    - type: euclidean_pearson
+      value: 82.69277819943873
+    - type: euclidean_spearman
+      value: 81.26097565088551
+    - type: manhattan_pearson
+      value: 82.73440374725746
+    - type: manhattan_spearman
+      value: 81.25376873901254
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.23415639286914
+    - type: cos_sim_spearman
+      value: 79.80147936079915
+    - type: euclidean_pearson
+      value: 84.324220218071
+    - type: euclidean_spearman
+      value: 79.71794784987208
+    - type: manhattan_pearson
+      value: 84.27523842345964
+    - type: manhattan_spearman
+      value: 79.58070329781553
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.90966234413125
+    - type: cos_sim_spearman
+      value: 87.10742652814713
+    - type: euclidean_pearson
+      value: 86.28297063322286
+    - type: euclidean_spearman
+      value: 87.09425001932226
+    - type: manhattan_pearson
+      value: 86.19204338411774
+    - type: manhattan_spearman
+      value: 87.02046826723424
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.12351399124411
+    - type: cos_sim_spearman
+      value: 83.32955357808568
+    - type: euclidean_pearson
+      value: 83.81222384305896
+    - type: euclidean_spearman
+      value: 83.1836394454507
+    - type: manhattan_pearson
+      value: 83.79162945392092
+    - type: manhattan_spearman
+      value: 83.14306058903364
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.9345194840047
+    - type: cos_sim_spearman
+      value: 88.47286320653176
+    - type: euclidean_pearson
+      value: 87.72825182191445
+    - type: euclidean_spearman
+      value: 88.33484195475864
+    - type: manhattan_pearson
+      value: 87.75121043906692
+    - type: manhattan_spearman
+      value: 88.36695329548576
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.80215370816441
+    - type: cos_sim_spearman
+      value: 86.44917331470305
+    - type: euclidean_pearson
+      value: 85.3458573021962
+    - type: euclidean_spearman
+      value: 86.24853627058414
+    - type: manhattan_pearson
+      value: 85.38477148579328
+    - type: manhattan_spearman
+      value: 86.28201585857053
+  - 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: 87.20498617189688
+    - type: cos_sim_spearman
+      value: 87.61389142076317
+    - type: euclidean_pearson
+      value: 88.15430699740293
+    - type: euclidean_spearman
+      value: 87.35065666258774
+    - type: manhattan_pearson
+      value: 88.2994571119992
+    - type: manhattan_spearman
+      value: 87.60920178284005
+  - 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: 68.27672577392406
+    - type: cos_sim_spearman
+      value: 68.31250175566586
+    - type: euclidean_pearson
+      value: 69.45016222616813
+    - type: euclidean_spearman
+      value: 67.93461301528046
+    - type: manhattan_pearson
+      value: 69.39774219739259
+    - type: manhattan_spearman
+      value: 67.78124856615536
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.31916148698113
+    - type: cos_sim_spearman
+      value: 87.45541524487057
+    - type: euclidean_pearson
+      value: 86.5845909408775
+    - type: euclidean_spearman
+      value: 87.2373331768082
+    - type: manhattan_pearson
+      value: 86.64467698948668
+    - type: manhattan_spearman
+      value: 87.26707857525533
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 88.0007930269447
+    - type: mrr
+      value: 96.52852594029063
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 60.99400000000001
+    - type: map_at_10
+      value: 70.923
+    - type: map_at_100
+      value: 71.299
+    - type: map_at_1000
+      value: 71.318
+    - type: map_at_3
+      value: 67.991
+    - type: map_at_5
+      value: 69.292
+    - type: mrr_at_1
+      value: 64.333
+    - type: mrr_at_10
+      value: 71.98400000000001
+    - type: mrr_at_100
+      value: 72.306
+    - type: mrr_at_1000
+      value: 72.32499999999999
+    - type: mrr_at_3
+      value: 69.833
+    - type: mrr_at_5
+      value: 70.783
+    - type: ndcg_at_1
+      value: 64.333
+    - type: ndcg_at_10
+      value: 75.729
+    - type: ndcg_at_100
+      value: 77.38199999999999
+    - type: ndcg_at_1000
+      value: 77.788
+    - type: ndcg_at_3
+      value: 70.774
+    - type: ndcg_at_5
+      value: 72.478
+    - type: precision_at_1
+      value: 64.333
+    - type: precision_at_10
+      value: 10.167
+    - type: precision_at_100
+      value: 1.0999999999999999
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 27.778000000000002
+    - type: precision_at_5
+      value: 17.867
+    - type: recall_at_1
+      value: 60.99400000000001
+    - type: recall_at_10
+      value: 89.48899999999999
+    - type: recall_at_100
+      value: 97.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 75.85
+    - type: recall_at_5
+      value: 80.328
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.86435643564356
+    - type: cos_sim_ap
+      value: 96.78001342960285
+    - type: cos_sim_f1
+      value: 93.07030854830552
+    - type: cos_sim_precision
+      value: 94.16581371545547
+    - type: cos_sim_recall
+      value: 92.0
+    - type: dot_accuracy
+      value: 99.74653465346535
+    - type: dot_ap
+      value: 92.80391251199522
+    - type: dot_f1
+      value: 87.36426456071075
+    - type: dot_precision
+      value: 86.25730994152046
+    - type: dot_recall
+      value: 88.5
+    - type: euclidean_accuracy
+      value: 99.86138613861387
+    - type: euclidean_ap
+      value: 96.77007810699926
+    - type: euclidean_f1
+      value: 92.95065458207452
+    - type: euclidean_precision
+      value: 93.6105476673428
+    - type: euclidean_recall
+      value: 92.30000000000001
+    - type: manhattan_accuracy
+      value: 99.86336633663366
+    - type: manhattan_ap
+      value: 96.78913160708261
+    - type: manhattan_f1
+      value: 93.03030303030305
+    - type: manhattan_precision
+      value: 93.9795918367347
+    - type: manhattan_recall
+      value: 92.10000000000001
+    - type: max_accuracy
+      value: 99.86435643564356
+    - type: max_ap
+      value: 96.78913160708261
+    - type: max_f1
+      value: 93.07030854830552
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 67.80798406371026
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.69251193913337
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 55.04250964616215
+    - type: mrr
+      value: 55.92283125371361
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.05492162235311
+    - type: cos_sim_spearman
+      value: 30.90473006515039
+    - type: dot_pearson
+      value: 26.85480454105073
+    - type: dot_spearman
+      value: 27.02880537417923
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.246
+    - type: map_at_10
+      value: 2.125
+    - type: map_at_100
+      value: 12.892999999999999
+    - type: map_at_1000
+      value: 31.513999999999996
+    - type: map_at_3
+      value: 0.695
+    - type: map_at_5
+      value: 1.133
+    - type: mrr_at_1
+      value: 92.0
+    - type: mrr_at_10
+      value: 95.667
+    - type: mrr_at_100
+      value: 95.667
+    - type: mrr_at_1000
+      value: 95.667
+    - type: mrr_at_3
+      value: 95.667
+    - type: mrr_at_5
+      value: 95.667
+    - type: ndcg_at_1
+      value: 88.0
+    - type: ndcg_at_10
+      value: 82.464
+    - type: ndcg_at_100
+      value: 63.351
+    - type: ndcg_at_1000
+      value: 57.129
+    - type: ndcg_at_3
+      value: 85.87700000000001
+    - type: ndcg_at_5
+      value: 86.042
+    - type: precision_at_1
+      value: 92.0
+    - type: precision_at_10
+      value: 86.2
+    - type: precision_at_100
+      value: 65.10000000000001
+    - type: precision_at_1000
+      value: 25.044
+    - type: precision_at_3
+      value: 89.333
+    - type: precision_at_5
+      value: 89.60000000000001
+    - type: recall_at_1
+      value: 0.246
+    - type: recall_at_10
+      value: 2.2880000000000003
+    - type: recall_at_100
+      value: 15.853
+    - type: recall_at_1000
+      value: 54.05
+    - type: recall_at_3
+      value: 0.72
+    - type: recall_at_5
+      value: 1.196
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.322
+    - type: map_at_10
+      value: 11.673
+    - type: map_at_100
+      value: 18.655
+    - type: map_at_1000
+      value: 20.058999999999997
+    - type: map_at_3
+      value: 6.265
+    - type: map_at_5
+      value: 8.549
+    - type: mrr_at_1
+      value: 42.857
+    - type: mrr_at_10
+      value: 55.352999999999994
+    - type: mrr_at_100
+      value: 55.928999999999995
+    - type: mrr_at_1000
+      value: 55.928999999999995
+    - type: mrr_at_3
+      value: 50.0
+    - type: mrr_at_5
+      value: 53.571000000000005
+    - type: ndcg_at_1
+      value: 39.796
+    - type: ndcg_at_10
+      value: 28.225
+    - type: ndcg_at_100
+      value: 40.452
+    - type: ndcg_at_1000
+      value: 51.332
+    - type: ndcg_at_3
+      value: 32.308
+    - type: ndcg_at_5
+      value: 30.942999999999998
+    - type: precision_at_1
+      value: 42.857
+    - type: precision_at_10
+      value: 24.490000000000002
+    - type: precision_at_100
+      value: 8.366999999999999
+    - type: precision_at_1000
+      value: 1.5709999999999997
+    - type: precision_at_3
+      value: 32.653
+    - type: precision_at_5
+      value: 30.203999999999997
+    - type: recall_at_1
+      value: 3.322
+    - type: recall_at_10
+      value: 17.857
+    - type: recall_at_100
+      value: 51.169
+    - type: recall_at_1000
+      value: 85.382
+    - type: recall_at_3
+      value: 7.126
+    - type: recall_at_5
+      value: 11.186
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 72.1046
+    - type: ap
+      value: 14.84774372187047
+    - type: f1
+      value: 55.52709376912111
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 60.18958687040181
+    - type: f1
+      value: 60.53154943862625
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 54.61440440799667
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.34577099600644
+    - type: cos_sim_ap
+      value: 78.19613471607386
+    - type: cos_sim_f1
+      value: 71.30501144746884
+    - type: cos_sim_precision
+      value: 68.83595284872298
+    - type: cos_sim_recall
+      value: 73.95778364116094
+    - type: dot_accuracy
+      value: 82.89324670680098
+    - type: dot_ap
+      value: 63.02362697550343
+    - type: dot_f1
+      value: 59.69837587006961
+    - type: dot_precision
+      value: 53.2712215320911
+    - type: dot_recall
+      value: 67.8891820580475
+    - type: euclidean_accuracy
+      value: 87.24444179531503
+    - type: euclidean_ap
+      value: 78.38356749852895
+    - type: euclidean_f1
+      value: 71.42133265771471
+    - type: euclidean_precision
+      value: 68.68908382066277
+    - type: euclidean_recall
+      value: 74.37994722955145
+    - type: manhattan_accuracy
+      value: 87.24444179531503
+    - type: manhattan_ap
+      value: 78.27660966609476
+    - type: manhattan_f1
+      value: 71.42165173165415
+    - type: manhattan_precision
+      value: 66.00268576544315
+    - type: manhattan_recall
+      value: 77.81002638522428
+    - type: max_accuracy
+      value: 87.34577099600644
+    - type: max_ap
+      value: 78.38356749852895
+    - type: max_f1
+      value: 71.42165173165415
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.90829355377032
+    - type: cos_sim_ap
+      value: 85.79696678631824
+    - type: cos_sim_f1
+      value: 77.8494623655914
+    - type: cos_sim_precision
+      value: 76.32610786417105
+    - type: cos_sim_recall
+      value: 79.43486295041576
+    - type: dot_accuracy
+      value: 86.17223580548765
+    - type: dot_ap
+      value: 79.05804163697516
+    - type: dot_f1
+      value: 72.38855622089154
+    - type: dot_precision
+      value: 69.61467368121713
+    - type: dot_recall
+      value: 75.39267015706807
+    - type: euclidean_accuracy
+      value: 88.94128148406877
+    - type: euclidean_ap
+      value: 85.86615739743813
+    - type: euclidean_f1
+      value: 77.97001153402537
+    - type: euclidean_precision
+      value: 75.44099647202822
+    - type: euclidean_recall
+      value: 80.67446874037573
+    - type: manhattan_accuracy
+      value: 88.9781503473435
+    - type: manhattan_ap
+      value: 85.91093266751166
+    - type: manhattan_f1
+      value: 77.96835723791216
+    - type: manhattan_precision
+      value: 74.98577929465301
+    - type: manhattan_recall
+      value: 81.19802894979982
+    - type: max_accuracy
+      value: 88.9781503473435
+    - type: max_ap
+      value: 85.91093266751166
+    - type: max_f1
+      value: 77.97001153402537
+---