Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: epoch_0_model
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.56716417910448
+    - type: ap
+      value: 40.91549063721234
+    - type: f1
+      value: 71.51708294746035
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 89.50825
+    - type: ap
+      value: 86.00556056390054
+    - type: f1
+      value: 89.48068855084334
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 46.82399999999999
+    - type: f1
+      value: 46.272112748273315
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.592000000000002
+    - type: map_at_10
+      value: 44.37
+    - type: map_at_100
+      value: 45.355000000000004
+    - type: map_at_1000
+      value: 45.363
+    - type: map_at_3
+      value: 39.272
+    - type: map_at_5
+      value: 42.405
+    - type: mrr_at_1
+      value: 29.445
+    - type: mrr_at_10
+      value: 44.668
+    - type: mrr_at_100
+      value: 45.646
+    - type: mrr_at_1000
+      value: 45.655
+    - type: mrr_at_3
+      value: 39.545
+    - type: mrr_at_5
+      value: 42.674
+    - type: ndcg_at_1
+      value: 28.592000000000002
+    - type: ndcg_at_10
+      value: 53.230999999999995
+    - type: ndcg_at_100
+      value: 57.188
+    - type: ndcg_at_1000
+      value: 57.371
+    - type: ndcg_at_3
+      value: 42.842
+    - type: ndcg_at_5
+      value: 48.538
+    - type: precision_at_1
+      value: 28.592000000000002
+    - type: precision_at_10
+      value: 8.151
+    - type: precision_at_100
+      value: 0.9820000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 17.733999999999998
+    - type: precision_at_5
+      value: 13.428
+    - type: recall_at_1
+      value: 28.592000000000002
+    - type: recall_at_10
+      value: 81.50800000000001
+    - type: recall_at_100
+      value: 98.222
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 53.201
+    - type: recall_at_5
+      value: 67.14099999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 45.83975081280601
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 36.20880276672235
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 60.88591268158169
+    - type: mrr
+      value: 75.19709361122104
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.65453333525659
+    - type: cos_sim_spearman
+      value: 86.84535232424253
+    - type: euclidean_pearson
+      value: 88.44638498736246
+    - type: euclidean_spearman
+      value: 86.84535232424253
+    - type: manhattan_pearson
+      value: 88.73402151565195
+    - type: manhattan_spearman
+      value: 87.24415659199119
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 84.7564935064935
+    - type: f1
+      value: 84.70138093263196
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 38.272839537742655
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 33.03251777955244
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.319000000000003
+    - type: map_at_10
+      value: 40.161
+    - type: map_at_100
+      value: 41.557
+    - type: map_at_1000
+      value: 41.678
+    - type: map_at_3
+      value: 37.008
+    - type: map_at_5
+      value: 38.592
+    - type: mrr_at_1
+      value: 37.053000000000004
+    - type: mrr_at_10
+      value: 45.597
+    - type: mrr_at_100
+      value: 46.443
+    - type: mrr_at_1000
+      value: 46.489000000000004
+    - type: mrr_at_3
+      value: 43.085
+    - type: mrr_at_5
+      value: 44.43
+    - type: ndcg_at_1
+      value: 37.053000000000004
+    - type: ndcg_at_10
+      value: 45.948
+    - type: ndcg_at_100
+      value: 51.44800000000001
+    - type: ndcg_at_1000
+      value: 53.54
+    - type: ndcg_at_3
+      value: 41.316
+    - type: ndcg_at_5
+      value: 43.15
+    - type: precision_at_1
+      value: 37.053000000000004
+    - type: precision_at_10
+      value: 8.569
+    - type: precision_at_100
+      value: 1.425
+    - type: precision_at_1000
+      value: 0.189
+    - type: precision_at_3
+      value: 19.695
+    - type: precision_at_5
+      value: 13.763
+    - type: recall_at_1
+      value: 30.319000000000003
+    - type: recall_at_10
+      value: 57.233000000000004
+    - type: recall_at_100
+      value: 80.441
+    - type: recall_at_1000
+      value: 94.041
+    - type: recall_at_3
+      value: 43.028
+    - type: recall_at_5
+      value: 48.806
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.022
+    - type: map_at_10
+      value: 41.305
+    - type: map_at_100
+      value: 42.576
+    - type: map_at_1000
+      value: 42.707
+    - type: map_at_3
+      value: 38.271
+    - type: map_at_5
+      value: 40.048
+    - type: mrr_at_1
+      value: 39.427
+    - type: mrr_at_10
+      value: 47.707
+    - type: mrr_at_100
+      value: 48.394
+    - type: mrr_at_1000
+      value: 48.439
+    - type: mrr_at_3
+      value: 45.552
+    - type: mrr_at_5
+      value: 46.823
+    - type: ndcg_at_1
+      value: 39.427
+    - type: ndcg_at_10
+      value: 47.121
+    - type: ndcg_at_100
+      value: 51.458999999999996
+    - type: ndcg_at_1000
+      value: 53.461000000000006
+    - type: ndcg_at_3
+      value: 43.001
+    - type: ndcg_at_5
+      value: 45.025
+    - type: precision_at_1
+      value: 39.427
+    - type: precision_at_10
+      value: 8.994
+    - type: precision_at_100
+      value: 1.456
+    - type: precision_at_1000
+      value: 0.192
+    - type: precision_at_3
+      value: 20.913
+    - type: precision_at_5
+      value: 14.917
+    - type: recall_at_1
+      value: 31.022
+    - type: recall_at_10
+      value: 56.769999999999996
+    - type: recall_at_100
+      value: 75.154
+    - type: recall_at_1000
+      value: 87.832
+    - type: recall_at_3
+      value: 44.295
+    - type: recall_at_5
+      value: 50.041000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.021
+    - type: map_at_10
+      value: 52.931
+    - type: map_at_100
+      value: 53.846000000000004
+    - type: map_at_1000
+      value: 53.905
+    - type: map_at_3
+      value: 49.952000000000005
+    - type: map_at_5
+      value: 51.566
+    - type: mrr_at_1
+      value: 46.708
+    - type: mrr_at_10
+      value: 56.467999999999996
+    - type: mrr_at_100
+      value: 57.06400000000001
+    - type: mrr_at_1000
+      value: 57.096999999999994
+    - type: mrr_at_3
+      value: 54.295
+    - type: mrr_at_5
+      value: 55.52
+    - type: ndcg_at_1
+      value: 46.708
+    - type: ndcg_at_10
+      value: 58.458
+    - type: ndcg_at_100
+      value: 62.21
+    - type: ndcg_at_1000
+      value: 63.438
+    - type: ndcg_at_3
+      value: 53.493
+    - type: ndcg_at_5
+      value: 55.824
+    - type: precision_at_1
+      value: 46.708
+    - type: precision_at_10
+      value: 9.166
+    - type: precision_at_100
+      value: 1.199
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 23.532
+    - type: precision_at_5
+      value: 15.862000000000002
+    - type: recall_at_1
+      value: 41.021
+    - type: recall_at_10
+      value: 71.25
+    - type: recall_at_100
+      value: 87.507
+    - type: recall_at_1000
+      value: 96.206
+    - type: recall_at_3
+      value: 58.089
+    - type: recall_at_5
+      value: 63.82
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.413999999999998
+    - type: map_at_10
+      value: 34.404
+    - type: map_at_100
+      value: 35.359
+    - type: map_at_1000
+      value: 35.435
+    - type: map_at_3
+      value: 32.017
+    - type: map_at_5
+      value: 33.243
+    - type: mrr_at_1
+      value: 28.362
+    - type: mrr_at_10
+      value: 36.393
+    - type: mrr_at_100
+      value: 37.211
+    - type: mrr_at_1000
+      value: 37.273
+    - type: mrr_at_3
+      value: 33.992
+    - type: mrr_at_5
+      value: 35.309000000000005
+    - type: ndcg_at_1
+      value: 28.362
+    - type: ndcg_at_10
+      value: 38.964
+    - type: ndcg_at_100
+      value: 43.791000000000004
+    - type: ndcg_at_1000
+      value: 45.89
+    - type: ndcg_at_3
+      value: 34.201
+    - type: ndcg_at_5
+      value: 36.334
+    - type: precision_at_1
+      value: 28.362
+    - type: precision_at_10
+      value: 5.842
+    - type: precision_at_100
+      value: 0.868
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 14.049
+    - type: precision_at_5
+      value: 9.695
+    - type: recall_at_1
+      value: 26.413999999999998
+    - type: recall_at_10
+      value: 51.017999999999994
+    - type: recall_at_100
+      value: 73.551
+    - type: recall_at_1000
+      value: 89.51
+    - type: recall_at_3
+      value: 38.385000000000005
+    - type: recall_at_5
+      value: 43.351
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.721999999999998
+    - type: map_at_10
+      value: 24.55
+    - type: map_at_100
+      value: 25.586
+    - type: map_at_1000
+      value: 25.715
+    - type: map_at_3
+      value: 22.445
+    - type: map_at_5
+      value: 23.497
+    - type: mrr_at_1
+      value: 21.642
+    - type: mrr_at_10
+      value: 28.979
+    - type: mrr_at_100
+      value: 29.898000000000003
+    - type: mrr_at_1000
+      value: 29.981
+    - type: mrr_at_3
+      value: 26.886
+    - type: mrr_at_5
+      value: 28.055999999999997
+    - type: ndcg_at_1
+      value: 21.642
+    - type: ndcg_at_10
+      value: 29.158
+    - type: ndcg_at_100
+      value: 34.352
+    - type: ndcg_at_1000
+      value: 37.456
+    - type: ndcg_at_3
+      value: 25.302000000000003
+    - type: ndcg_at_5
+      value: 26.916
+    - type: precision_at_1
+      value: 21.642
+    - type: precision_at_10
+      value: 5.274
+    - type: precision_at_100
+      value: 0.907
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 12.148
+    - type: precision_at_5
+      value: 8.458
+    - type: recall_at_1
+      value: 17.721999999999998
+    - type: recall_at_10
+      value: 38.926
+    - type: recall_at_100
+      value: 61.698
+    - type: recall_at_1000
+      value: 83.742
+    - type: recall_at_3
+      value: 28.209
+    - type: recall_at_5
+      value: 32.462999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.429
+    - type: map_at_10
+      value: 38.0
+    - type: map_at_100
+      value: 39.262
+    - type: map_at_1000
+      value: 39.371
+    - type: map_at_3
+      value: 35.031
+    - type: map_at_5
+      value: 36.935
+    - type: mrr_at_1
+      value: 33.782000000000004
+    - type: mrr_at_10
+      value: 43.164
+    - type: mrr_at_100
+      value: 43.962
+    - type: mrr_at_1000
+      value: 44.012
+    - type: mrr_at_3
+      value: 40.711999999999996
+    - type: mrr_at_5
+      value: 42.32
+    - type: ndcg_at_1
+      value: 33.782000000000004
+    - type: ndcg_at_10
+      value: 43.574
+    - type: ndcg_at_100
+      value: 48.903999999999996
+    - type: ndcg_at_1000
+      value: 51.074
+    - type: ndcg_at_3
+      value: 38.858
+    - type: ndcg_at_5
+      value: 41.581
+    - type: precision_at_1
+      value: 33.782000000000004
+    - type: precision_at_10
+      value: 7.7
+    - type: precision_at_100
+      value: 1.217
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 18.157999999999998
+    - type: precision_at_5
+      value: 13.128
+    - type: recall_at_1
+      value: 28.429
+    - type: recall_at_10
+      value: 54.63
+    - type: recall_at_100
+      value: 77.183
+    - type: recall_at_1000
+      value: 91.708
+    - type: recall_at_3
+      value: 41.81
+    - type: recall_at_5
+      value: 48.794
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.579
+    - type: map_at_10
+      value: 35.135
+    - type: map_at_100
+      value: 36.382999999999996
+    - type: map_at_1000
+      value: 36.482
+    - type: map_at_3
+      value: 32.25
+    - type: map_at_5
+      value: 33.873999999999995
+    - type: mrr_at_1
+      value: 31.279
+    - type: mrr_at_10
+      value: 40.261
+    - type: mrr_at_100
+      value: 41.128
+    - type: mrr_at_1000
+      value: 41.175
+    - type: mrr_at_3
+      value: 37.823
+    - type: mrr_at_5
+      value: 39.245000000000005
+    - type: ndcg_at_1
+      value: 31.279
+    - type: ndcg_at_10
+      value: 40.64
+    - type: ndcg_at_100
+      value: 46.224
+    - type: ndcg_at_1000
+      value: 48.392
+    - type: ndcg_at_3
+      value: 35.913000000000004
+    - type: ndcg_at_5
+      value: 38.086999999999996
+    - type: precision_at_1
+      value: 31.279
+    - type: precision_at_10
+      value: 7.306
+    - type: precision_at_100
+      value: 1.185
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 17.009
+    - type: precision_at_5
+      value: 12.123000000000001
+    - type: recall_at_1
+      value: 25.579
+    - type: recall_at_10
+      value: 52.018
+    - type: recall_at_100
+      value: 76.02799999999999
+    - type: recall_at_1000
+      value: 90.996
+    - type: recall_at_3
+      value: 38.769
+    - type: recall_at_5
+      value: 44.417
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.15416666666666
+    - type: map_at_10
+      value: 34.64533333333333
+    - type: map_at_100
+      value: 35.7715
+    - type: map_at_1000
+      value: 35.885333333333335
+    - type: map_at_3
+      value: 32.03941666666667
+    - type: map_at_5
+      value: 33.47041666666667
+    - type: mrr_at_1
+      value: 30.654583333333328
+    - type: mrr_at_10
+      value: 38.71783333333333
+    - type: mrr_at_100
+      value: 39.52499999999999
+    - type: mrr_at_1000
+      value: 39.584250000000004
+    - type: mrr_at_3
+      value: 36.42975
+    - type: mrr_at_5
+      value: 37.72874999999999
+    - type: ndcg_at_1
+      value: 30.654583333333328
+    - type: ndcg_at_10
+      value: 39.663583333333335
+    - type: ndcg_at_100
+      value: 44.600249999999996
+    - type: ndcg_at_1000
+      value: 46.93808333333333
+    - type: ndcg_at_3
+      value: 35.2025
+    - type: ndcg_at_5
+      value: 37.27008333333333
+    - type: precision_at_1
+      value: 30.654583333333328
+    - type: precision_at_10
+      value: 6.8140833333333335
+    - type: precision_at_100
+      value: 1.1011666666666666
+    - type: precision_at_1000
+      value: 0.14883333333333335
+    - type: precision_at_3
+      value: 15.982249999999997
+    - type: precision_at_5
+      value: 11.254916666666666
+    - type: recall_at_1
+      value: 26.15416666666666
+    - type: recall_at_10
+      value: 50.44783333333333
+    - type: recall_at_100
+      value: 72.172
+    - type: recall_at_1000
+      value: 88.49900000000001
+    - type: recall_at_3
+      value: 38.030750000000005
+    - type: recall_at_5
+      value: 43.37716666666667
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.936
+    - type: map_at_10
+      value: 31.274
+    - type: map_at_100
+      value: 32.127
+    - type: map_at_1000
+      value: 32.218999999999994
+    - type: map_at_3
+      value: 29.036
+    - type: map_at_5
+      value: 30.128
+    - type: mrr_at_1
+      value: 27.454
+    - type: mrr_at_10
+      value: 33.973
+    - type: mrr_at_100
+      value: 34.75
+    - type: mrr_at_1000
+      value: 34.821999999999996
+    - type: mrr_at_3
+      value: 31.979000000000003
+    - type: mrr_at_5
+      value: 32.975
+    - type: ndcg_at_1
+      value: 27.454
+    - type: ndcg_at_10
+      value: 35.259
+    - type: ndcg_at_100
+      value: 39.513
+    - type: ndcg_at_1000
+      value: 41.913
+    - type: ndcg_at_3
+      value: 31.184
+    - type: ndcg_at_5
+      value: 32.804
+    - type: precision_at_1
+      value: 27.454
+    - type: precision_at_10
+      value: 5.445
+    - type: precision_at_100
+      value: 0.8250000000000001
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 12.986
+    - type: precision_at_5
+      value: 8.895999999999999
+    - type: recall_at_1
+      value: 24.936
+    - type: recall_at_10
+      value: 44.807
+    - type: recall_at_100
+      value: 64.046
+    - type: recall_at_1000
+      value: 81.959
+    - type: recall_at_3
+      value: 33.587
+    - type: recall_at_5
+      value: 37.665
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.641000000000002
+    - type: map_at_10
+      value: 23.794
+    - type: map_at_100
+      value: 24.769
+    - type: map_at_1000
+      value: 24.898999999999997
+    - type: map_at_3
+      value: 21.67
+    - type: map_at_5
+      value: 22.933
+    - type: mrr_at_1
+      value: 20.061999999999998
+    - type: mrr_at_10
+      value: 27.467999999999996
+    - type: mrr_at_100
+      value: 28.303
+    - type: mrr_at_1000
+      value: 28.387
+    - type: mrr_at_3
+      value: 25.361
+    - type: mrr_at_5
+      value: 26.676
+    - type: ndcg_at_1
+      value: 20.061999999999998
+    - type: ndcg_at_10
+      value: 28.218
+    - type: ndcg_at_100
+      value: 32.988
+    - type: ndcg_at_1000
+      value: 36.083
+    - type: ndcg_at_3
+      value: 24.391
+    - type: ndcg_at_5
+      value: 26.349
+    - type: precision_at_1
+      value: 20.061999999999998
+    - type: precision_at_10
+      value: 4.997
+    - type: precision_at_100
+      value: 0.8670000000000001
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 11.402
+    - type: precision_at_5
+      value: 8.273
+    - type: recall_at_1
+      value: 16.641000000000002
+    - type: recall_at_10
+      value: 37.925
+    - type: recall_at_100
+      value: 59.317
+    - type: recall_at_1000
+      value: 81.49499999999999
+    - type: recall_at_3
+      value: 27.381
+    - type: recall_at_5
+      value: 32.323
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.684
+    - type: map_at_10
+      value: 33.499
+    - type: map_at_100
+      value: 34.533
+    - type: map_at_1000
+      value: 34.647
+    - type: map_at_3
+      value: 30.908
+    - type: map_at_5
+      value: 32.376
+    - type: mrr_at_1
+      value: 29.757
+    - type: mrr_at_10
+      value: 37.439
+    - type: mrr_at_100
+      value: 38.239000000000004
+    - type: mrr_at_1000
+      value: 38.307
+    - type: mrr_at_3
+      value: 34.997
+    - type: mrr_at_5
+      value: 36.359
+    - type: ndcg_at_1
+      value: 29.757
+    - type: ndcg_at_10
+      value: 38.334
+    - type: ndcg_at_100
+      value: 43.171
+    - type: ndcg_at_1000
+      value: 45.775
+    - type: ndcg_at_3
+      value: 33.611999999999995
+    - type: ndcg_at_5
+      value: 35.884
+    - type: precision_at_1
+      value: 29.757
+    - type: precision_at_10
+      value: 6.361999999999999
+    - type: precision_at_100
+      value: 0.98
+    - type: precision_at_1000
+      value: 0.133
+    - type: precision_at_3
+      value: 14.988000000000001
+    - type: precision_at_5
+      value: 10.653
+    - type: recall_at_1
+      value: 25.684
+    - type: recall_at_10
+      value: 49.059000000000005
+    - type: recall_at_100
+      value: 70.339
+    - type: recall_at_1000
+      value: 88.567
+    - type: recall_at_3
+      value: 36.233
+    - type: recall_at_5
+      value: 41.974000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.265
+    - type: map_at_10
+      value: 31.948
+    - type: map_at_100
+      value: 33.558
+    - type: map_at_1000
+      value: 33.778999999999996
+    - type: map_at_3
+      value: 29.387999999999998
+    - type: map_at_5
+      value: 30.711
+    - type: mrr_at_1
+      value: 28.854000000000003
+    - type: mrr_at_10
+      value: 36.346000000000004
+    - type: mrr_at_100
+      value: 37.273
+    - type: mrr_at_1000
+      value: 37.336000000000006
+    - type: mrr_at_3
+      value: 33.794000000000004
+    - type: mrr_at_5
+      value: 35.168
+    - type: ndcg_at_1
+      value: 28.854000000000003
+    - type: ndcg_at_10
+      value: 37.281
+    - type: ndcg_at_100
+      value: 43.125
+    - type: ndcg_at_1000
+      value: 45.9
+    - type: ndcg_at_3
+      value: 32.637
+    - type: ndcg_at_5
+      value: 34.628
+    - type: precision_at_1
+      value: 28.854000000000003
+    - type: precision_at_10
+      value: 6.957000000000001
+    - type: precision_at_100
+      value: 1.455
+    - type: precision_at_1000
+      value: 0.231
+    - type: precision_at_3
+      value: 14.954
+    - type: precision_at_5
+      value: 10.751
+    - type: recall_at_1
+      value: 24.265
+    - type: recall_at_10
+      value: 47.709
+    - type: recall_at_100
+      value: 72.894
+    - type: recall_at_1000
+      value: 90.545
+    - type: recall_at_3
+      value: 34.618
+    - type: recall_at_5
+      value: 39.793
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.818
+    - type: map_at_10
+      value: 28.743000000000002
+    - type: map_at_100
+      value: 29.702
+    - type: map_at_1000
+      value: 29.787000000000003
+    - type: map_at_3
+      value: 26.497
+    - type: map_at_5
+      value: 27.742
+    - type: mrr_at_1
+      value: 23.474999999999998
+    - type: mrr_at_10
+      value: 30.819000000000003
+    - type: mrr_at_100
+      value: 31.635
+    - type: mrr_at_1000
+      value: 31.692999999999998
+    - type: mrr_at_3
+      value: 28.681
+    - type: mrr_at_5
+      value: 29.864
+    - type: ndcg_at_1
+      value: 23.474999999999998
+    - type: ndcg_at_10
+      value: 33.007999999999996
+    - type: ndcg_at_100
+      value: 38.018
+    - type: ndcg_at_1000
+      value: 40.335
+    - type: ndcg_at_3
+      value: 28.522
+    - type: ndcg_at_5
+      value: 30.659
+    - type: precision_at_1
+      value: 23.474999999999998
+    - type: precision_at_10
+      value: 5.157
+    - type: precision_at_100
+      value: 0.83
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 11.953
+    - type: precision_at_5
+      value: 8.540000000000001
+    - type: recall_at_1
+      value: 21.818
+    - type: recall_at_10
+      value: 44.029
+    - type: recall_at_100
+      value: 67.906
+    - type: recall_at_1000
+      value: 85.387
+    - type: recall_at_3
+      value: 31.965
+    - type: recall_at_5
+      value: 37.079
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.615
+    - type: map_at_10
+      value: 30.302
+    - type: map_at_100
+      value: 32.382
+    - type: map_at_1000
+      value: 32.573
+    - type: map_at_3
+      value: 25.689
+    - type: map_at_5
+      value: 28.137
+    - type: mrr_at_1
+      value: 40.847
+    - type: mrr_at_10
+      value: 53.577
+    - type: mrr_at_100
+      value: 54.19199999999999
+    - type: mrr_at_1000
+      value: 54.217999999999996
+    - type: mrr_at_3
+      value: 50.684
+    - type: mrr_at_5
+      value: 52.349000000000004
+    - type: ndcg_at_1
+      value: 40.847
+    - type: ndcg_at_10
+      value: 40.497
+    - type: ndcg_at_100
+      value: 47.575
+    - type: ndcg_at_1000
+      value: 50.663000000000004
+    - type: ndcg_at_3
+      value: 34.650999999999996
+    - type: ndcg_at_5
+      value: 36.503
+    - type: precision_at_1
+      value: 40.847
+    - type: precision_at_10
+      value: 12.469
+    - type: precision_at_100
+      value: 2.012
+    - type: precision_at_1000
+      value: 0.259
+    - type: precision_at_3
+      value: 26.124000000000002
+    - type: precision_at_5
+      value: 19.518
+    - type: recall_at_1
+      value: 17.615
+    - type: recall_at_10
+      value: 46.163
+    - type: recall_at_100
+      value: 69.985
+    - type: recall_at_1000
+      value: 87.033
+    - type: recall_at_3
+      value: 31.041999999999998
+    - type: recall_at_5
+      value: 37.419999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.616999999999999
+    - type: map_at_10
+      value: 20.591
+    - type: map_at_100
+      value: 29.738
+    - type: map_at_1000
+      value: 31.403
+    - type: map_at_3
+      value: 14.549999999999999
+    - type: map_at_5
+      value: 17.071
+    - type: mrr_at_1
+      value: 71.25
+    - type: mrr_at_10
+      value: 77.86699999999999
+    - type: mrr_at_100
+      value: 78.154
+    - type: mrr_at_1000
+      value: 78.159
+    - type: mrr_at_3
+      value: 76.333
+    - type: mrr_at_5
+      value: 77.146
+    - type: ndcg_at_1
+      value: 59.875
+    - type: ndcg_at_10
+      value: 45.233000000000004
+    - type: ndcg_at_100
+      value: 49.395
+    - type: ndcg_at_1000
+      value: 56.352000000000004
+    - type: ndcg_at_3
+      value: 50.171
+    - type: ndcg_at_5
+      value: 47.3
+    - type: precision_at_1
+      value: 71.25
+    - type: precision_at_10
+      value: 35.9
+    - type: precision_at_100
+      value: 11.733
+    - type: precision_at_1000
+      value: 2.111
+    - type: precision_at_3
+      value: 52.917
+    - type: precision_at_5
+      value: 45.25
+    - type: recall_at_1
+      value: 8.616999999999999
+    - type: recall_at_10
+      value: 26.571
+    - type: recall_at_100
+      value: 55.289
+    - type: recall_at_1000
+      value: 77.66300000000001
+    - type: recall_at_3
+      value: 15.823
+    - type: recall_at_5
+      value: 19.921
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 48.584999999999994
+    - type: f1
+      value: 43.715445937798705
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 72.175
+    - type: map_at_10
+      value: 81.659
+    - type: map_at_100
+      value: 81.918
+    - type: map_at_1000
+      value: 81.931
+    - type: map_at_3
+      value: 80.304
+    - type: map_at_5
+      value: 81.21199999999999
+    - type: mrr_at_1
+      value: 77.333
+    - type: mrr_at_10
+      value: 85.26
+    - type: mrr_at_100
+      value: 85.37400000000001
+    - type: mrr_at_1000
+      value: 85.37599999999999
+    - type: mrr_at_3
+      value: 84.378
+    - type: mrr_at_5
+      value: 85.001
+    - type: ndcg_at_1
+      value: 77.333
+    - type: ndcg_at_10
+      value: 85.533
+    - type: ndcg_at_100
+      value: 86.483
+    - type: ndcg_at_1000
+      value: 86.721
+    - type: ndcg_at_3
+      value: 83.434
+    - type: ndcg_at_5
+      value: 84.71
+    - type: precision_at_1
+      value: 77.333
+    - type: precision_at_10
+      value: 10.485999999999999
+    - type: precision_at_100
+      value: 1.121
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 32.198
+    - type: precision_at_5
+      value: 20.222
+    - type: recall_at_1
+      value: 72.175
+    - type: recall_at_10
+      value: 93.633
+    - type: recall_at_100
+      value: 97.42699999999999
+    - type: recall_at_1000
+      value: 98.94
+    - type: recall_at_3
+      value: 88.07199999999999
+    - type: recall_at_5
+      value: 91.223
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.287000000000003
+    - type: map_at_10
+      value: 31.136000000000003
+    - type: map_at_100
+      value: 32.827
+    - type: map_at_1000
+      value: 33.011
+    - type: map_at_3
+      value: 27.150999999999996
+    - type: map_at_5
+      value: 29.459999999999997
+    - type: mrr_at_1
+      value: 37.963
+    - type: mrr_at_10
+      value: 46.449
+    - type: mrr_at_100
+      value: 47.353
+    - type: mrr_at_1000
+      value: 47.39
+    - type: mrr_at_3
+      value: 44.11
+    - type: mrr_at_5
+      value: 45.391
+    - type: ndcg_at_1
+      value: 37.963
+    - type: ndcg_at_10
+      value: 38.644
+    - type: ndcg_at_100
+      value: 44.923
+    - type: ndcg_at_1000
+      value: 48.059000000000005
+    - type: ndcg_at_3
+      value: 35.141
+    - type: ndcg_at_5
+      value: 36.335
+    - type: precision_at_1
+      value: 37.963
+    - type: precision_at_10
+      value: 10.494
+    - type: precision_at_100
+      value: 1.691
+    - type: precision_at_1000
+      value: 0.22699999999999998
+    - type: precision_at_3
+      value: 23.405
+    - type: precision_at_5
+      value: 17.16
+    - type: recall_at_1
+      value: 19.287000000000003
+    - type: recall_at_10
+      value: 45.558
+    - type: recall_at_100
+      value: 68.508
+    - type: recall_at_1000
+      value: 87.10900000000001
+    - type: recall_at_3
+      value: 31.991000000000003
+    - type: recall_at_5
+      value: 38.044
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.088
+    - type: map_at_10
+      value: 66.891
+    - type: map_at_100
+      value: 67.697
+    - type: map_at_1000
+      value: 67.75
+    - type: map_at_3
+      value: 63.517999999999994
+    - type: map_at_5
+      value: 65.667
+    - type: mrr_at_1
+      value: 80.176
+    - type: mrr_at_10
+      value: 85.662
+    - type: mrr_at_100
+      value: 85.827
+    - type: mrr_at_1000
+      value: 85.833
+    - type: mrr_at_3
+      value: 84.80799999999999
+    - type: mrr_at_5
+      value: 85.349
+    - type: ndcg_at_1
+      value: 80.176
+    - type: ndcg_at_10
+      value: 74.349
+    - type: ndcg_at_100
+      value: 77.10000000000001
+    - type: ndcg_at_1000
+      value: 78.084
+    - type: ndcg_at_3
+      value: 69.647
+    - type: ndcg_at_5
+      value: 72.312
+    - type: precision_at_1
+      value: 80.176
+    - type: precision_at_10
+      value: 15.629999999999999
+    - type: precision_at_100
+      value: 1.7760000000000002
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_3
+      value: 45.186
+    - type: precision_at_5
+      value: 29.215000000000003
+    - type: recall_at_1
+      value: 40.088
+    - type: recall_at_10
+      value: 78.14999999999999
+    - type: recall_at_100
+      value: 88.818
+    - type: recall_at_1000
+      value: 95.273
+    - type: recall_at_3
+      value: 67.779
+    - type: recall_at_5
+      value: 73.038
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 83.81960000000002
+    - type: ap
+      value: 78.83196561301477
+    - type: f1
+      value: 83.75970806716482
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.318
+    - type: map_at_10
+      value: 35.988
+    - type: map_at_100
+      value: 37.172
+    - type: map_at_1000
+      value: 37.217
+    - type: map_at_3
+      value: 32.193
+    - type: map_at_5
+      value: 34.467
+    - type: mrr_at_1
+      value: 23.982999999999997
+    - type: mrr_at_10
+      value: 36.588
+    - type: mrr_at_100
+      value: 37.714999999999996
+    - type: mrr_at_1000
+      value: 37.754
+    - type: mrr_at_3
+      value: 32.844
+    - type: mrr_at_5
+      value: 35.106
+    - type: ndcg_at_1
+      value: 23.982999999999997
+    - type: ndcg_at_10
+      value: 42.870000000000005
+    - type: ndcg_at_100
+      value: 48.433
+    - type: ndcg_at_1000
+      value: 49.559
+    - type: ndcg_at_3
+      value: 35.211
+    - type: ndcg_at_5
+      value: 39.273
+    - type: precision_at_1
+      value: 23.982999999999997
+    - type: precision_at_10
+      value: 6.678000000000001
+    - type: precision_at_100
+      value: 0.9440000000000001
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 14.981
+    - type: precision_at_5
+      value: 11.046
+    - type: recall_at_1
+      value: 23.318
+    - type: recall_at_10
+      value: 63.934999999999995
+    - type: recall_at_100
+      value: 89.335
+    - type: recall_at_1000
+      value: 97.966
+    - type: recall_at_3
+      value: 43.283
+    - type: recall_at_5
+      value: 53.041000000000004
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 93.57045143638851
+    - type: f1
+      value: 93.27721271351861
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 75.33971728226174
+    - type: f1
+      value: 57.738940854439825
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 73.05985205110962
+    - type: f1
+      value: 71.13355537275797
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 77.38063214525891
+    - type: f1
+      value: 77.50780716460197
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.74942819235406
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 30.696610712314364
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 28.7236836309487
+    - type: mrr
+      value: 29.45527326120238
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.838
+    - type: map_at_10
+      value: 13.492999999999999
+    - type: map_at_100
+      value: 16.598
+    - type: map_at_1000
+      value: 17.937
+    - type: map_at_3
+      value: 10.119
+    - type: map_at_5
+      value: 11.666
+    - type: mrr_at_1
+      value: 45.201
+    - type: mrr_at_10
+      value: 54.391
+    - type: mrr_at_100
+      value: 54.913000000000004
+    - type: mrr_at_1000
+      value: 54.952
+    - type: mrr_at_3
+      value: 52.012
+    - type: mrr_at_5
+      value: 53.715
+    - type: ndcg_at_1
+      value: 43.498
+    - type: ndcg_at_10
+      value: 35.631
+    - type: ndcg_at_100
+      value: 31.522
+    - type: ndcg_at_1000
+      value: 39.967000000000006
+    - type: ndcg_at_3
+      value: 41.258
+    - type: ndcg_at_5
+      value: 39.007
+    - type: precision_at_1
+      value: 44.891999999999996
+    - type: precision_at_10
+      value: 26.409
+    - type: precision_at_100
+      value: 7.799
+    - type: precision_at_1000
+      value: 2.044
+    - type: precision_at_3
+      value: 39.216
+    - type: precision_at_5
+      value: 34.056
+    - type: recall_at_1
+      value: 5.838
+    - type: recall_at_10
+      value: 17.314
+    - type: recall_at_100
+      value: 30.653000000000002
+    - type: recall_at_1000
+      value: 61.092
+    - type: recall_at_3
+      value: 11.299
+    - type: recall_at_5
+      value: 13.689000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.08
+    - type: map_at_10
+      value: 52.493
+    - type: map_at_100
+      value: 53.39699999999999
+    - type: map_at_1000
+      value: 53.422000000000004
+    - type: map_at_3
+      value: 48.504000000000005
+    - type: map_at_5
+      value: 50.878
+    - type: mrr_at_1
+      value: 41.425
+    - type: mrr_at_10
+      value: 55.001999999999995
+    - type: mrr_at_100
+      value: 55.665
+    - type: mrr_at_1000
+      value: 55.681999999999995
+    - type: mrr_at_3
+      value: 51.873000000000005
+    - type: mrr_at_5
+      value: 53.801
+    - type: ndcg_at_1
+      value: 41.396
+    - type: ndcg_at_10
+      value: 59.77400000000001
+    - type: ndcg_at_100
+      value: 63.476
+    - type: ndcg_at_1000
+      value: 64.011
+    - type: ndcg_at_3
+      value: 52.504
+    - type: ndcg_at_5
+      value: 56.379000000000005
+    - type: precision_at_1
+      value: 41.396
+    - type: precision_at_10
+      value: 9.429
+    - type: precision_at_100
+      value: 1.1520000000000001
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 23.445
+    - type: precision_at_5
+      value: 16.333000000000002
+    - type: recall_at_1
+      value: 37.08
+    - type: recall_at_10
+      value: 79.22
+    - type: recall_at_100
+      value: 95.013
+    - type: recall_at_1000
+      value: 98.921
+    - type: recall_at_3
+      value: 60.702
+    - type: recall_at_5
+      value: 69.539
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 70.218
+    - type: map_at_10
+      value: 83.871
+    - type: map_at_100
+      value: 84.494
+    - type: map_at_1000
+      value: 84.514
+    - type: map_at_3
+      value: 80.95
+    - type: map_at_5
+      value: 82.783
+    - type: mrr_at_1
+      value: 80.9
+    - type: mrr_at_10
+      value: 87.176
+    - type: mrr_at_100
+      value: 87.283
+    - type: mrr_at_1000
+      value: 87.28399999999999
+    - type: mrr_at_3
+      value: 86.173
+    - type: mrr_at_5
+      value: 86.872
+    - type: ndcg_at_1
+      value: 80.92
+    - type: ndcg_at_10
+      value: 87.76899999999999
+    - type: ndcg_at_100
+      value: 89.017
+    - type: ndcg_at_1000
+      value: 89.154
+    - type: ndcg_at_3
+      value: 84.87
+    - type: ndcg_at_5
+      value: 86.469
+    - type: precision_at_1
+      value: 80.92
+    - type: precision_at_10
+      value: 13.272
+    - type: precision_at_100
+      value: 1.5150000000000001
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 37.03
+    - type: precision_at_5
+      value: 24.336
+    - type: recall_at_1
+      value: 70.218
+    - type: recall_at_10
+      value: 95.027
+    - type: recall_at_100
+      value: 99.29599999999999
+    - type: recall_at_1000
+      value: 99.936
+    - type: recall_at_3
+      value: 86.64
+    - type: recall_at_5
+      value: 91.23
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 56.98075987853009
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 62.50448653901921
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.303
+    - type: map_at_10
+      value: 10.918999999999999
+    - type: map_at_100
+      value: 12.709999999999999
+    - type: map_at_1000
+      value: 12.985
+    - type: map_at_3
+      value: 7.924
+    - type: map_at_5
+      value: 9.299
+    - type: mrr_at_1
+      value: 21.2
+    - type: mrr_at_10
+      value: 31.732
+    - type: mrr_at_100
+      value: 32.716
+    - type: mrr_at_1000
+      value: 32.775999999999996
+    - type: mrr_at_3
+      value: 28.549999999999997
+    - type: mrr_at_5
+      value: 30.064999999999998
+    - type: ndcg_at_1
+      value: 21.2
+    - type: ndcg_at_10
+      value: 18.576999999999998
+    - type: ndcg_at_100
+      value: 25.648
+    - type: ndcg_at_1000
+      value: 30.733
+    - type: ndcg_at_3
+      value: 17.718999999999998
+    - type: ndcg_at_5
+      value: 15.123000000000001
+    - type: precision_at_1
+      value: 21.2
+    - type: precision_at_10
+      value: 9.71
+    - type: precision_at_100
+      value: 1.992
+    - type: precision_at_1000
+      value: 0.322
+    - type: precision_at_3
+      value: 16.7
+    - type: precision_at_5
+      value: 13.18
+    - type: recall_at_1
+      value: 4.303
+    - type: recall_at_10
+      value: 19.688
+    - type: recall_at_100
+      value: 40.453
+    - type: recall_at_1000
+      value: 65.348
+    - type: recall_at_3
+      value: 10.148
+    - type: recall_at_5
+      value: 13.347999999999999
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.1158093156676
+    - type: cos_sim_spearman
+      value: 78.04442753931265
+    - type: euclidean_pearson
+      value: 79.96880352884281
+    - type: euclidean_spearman
+      value: 78.04442519916647
+    - type: manhattan_pearson
+      value: 79.95975401430859
+    - type: manhattan_spearman
+      value: 78.03343142853139
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.79721434783521
+    - type: cos_sim_spearman
+      value: 78.25975096999896
+    - type: euclidean_pearson
+      value: 79.1424902310369
+    - type: euclidean_spearman
+      value: 78.25975658297341
+    - type: manhattan_pearson
+      value: 79.18358724961024
+    - type: manhattan_spearman
+      value: 78.25842688776181
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.01380419796578
+    - type: cos_sim_spearman
+      value: 84.25947132331721
+    - type: euclidean_pearson
+      value: 83.60092535471402
+    - type: euclidean_spearman
+      value: 84.25947132331721
+    - type: manhattan_pearson
+      value: 83.58567994241997
+    - type: manhattan_spearman
+      value: 84.26967070369717
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.21721151989871
+    - type: cos_sim_spearman
+      value: 80.54270694465328
+    - type: euclidean_pearson
+      value: 80.59816986031214
+    - type: euclidean_spearman
+      value: 80.54271664913747
+    - type: manhattan_pearson
+      value: 80.5726582983618
+    - type: manhattan_spearman
+      value: 80.5337273819897
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.37279580582026
+    - type: cos_sim_spearman
+      value: 86.49650639126628
+    - type: euclidean_pearson
+      value: 86.16280095909306
+    - type: euclidean_spearman
+      value: 86.49650639126628
+    - type: manhattan_pearson
+      value: 86.10906620664134
+    - type: manhattan_spearman
+      value: 86.43874476942065
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.25909618059293
+    - type: cos_sim_spearman
+      value: 85.13586725576114
+    - type: euclidean_pearson
+      value: 84.23420740305912
+    - type: euclidean_spearman
+      value: 85.13586725576114
+    - type: manhattan_pearson
+      value: 84.31272025462884
+    - type: manhattan_spearman
+      value: 85.21734270533285
+  - 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: 86.36016115914764
+    - type: cos_sim_spearman
+      value: 86.50087120712864
+    - type: euclidean_pearson
+      value: 87.43563849261436
+    - type: euclidean_spearman
+      value: 86.50087120712864
+    - type: manhattan_pearson
+      value: 87.3340358043399
+    - type: manhattan_spearman
+      value: 86.48887803473512
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 65.4382473357056
+    - type: cos_sim_spearman
+      value: 65.02380140355883
+    - type: euclidean_pearson
+      value: 66.29732592598693
+    - type: euclidean_spearman
+      value: 65.02380140355883
+    - type: manhattan_pearson
+      value: 66.60136092354136
+    - type: manhattan_spearman
+      value: 65.21766397453412
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.10229648323359
+    - type: cos_sim_spearman
+      value: 84.81137203891447
+    - type: euclidean_pearson
+      value: 84.30614386139715
+    - type: euclidean_spearman
+      value: 84.81137203891447
+    - type: manhattan_pearson
+      value: 84.34828274644255
+    - type: manhattan_spearman
+      value: 84.8268824733233
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 81.0838765555117
+    - type: mrr
+      value: 94.65012928248223
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 57.760999999999996
+    - type: map_at_10
+      value: 67.12
+    - type: map_at_100
+      value: 67.69
+    - type: map_at_1000
+      value: 67.716
+    - type: map_at_3
+      value: 64.846
+    - type: map_at_5
+      value: 66.148
+    - type: mrr_at_1
+      value: 60.667
+    - type: mrr_at_10
+      value: 68.497
+    - type: mrr_at_100
+      value: 68.92200000000001
+    - type: mrr_at_1000
+      value: 68.944
+    - type: mrr_at_3
+      value: 66.889
+    - type: mrr_at_5
+      value: 67.839
+    - type: ndcg_at_1
+      value: 60.667
+    - type: ndcg_at_10
+      value: 71.429
+    - type: ndcg_at_100
+      value: 73.821
+    - type: ndcg_at_1000
+      value: 74.524
+    - type: ndcg_at_3
+      value: 67.57600000000001
+    - type: ndcg_at_5
+      value: 69.44500000000001
+    - type: precision_at_1
+      value: 60.667
+    - type: precision_at_10
+      value: 9.333
+    - type: precision_at_100
+      value: 1.0630000000000002
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 26.333000000000002
+    - type: precision_at_5
+      value: 17.133000000000003
+    - type: recall_at_1
+      value: 57.760999999999996
+    - type: recall_at_10
+      value: 83.122
+    - type: recall_at_100
+      value: 93.767
+    - type: recall_at_1000
+      value: 99.333
+    - type: recall_at_3
+      value: 72.64399999999999
+    - type: recall_at_5
+      value: 77.378
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.8108910891089
+    - type: cos_sim_ap
+      value: 95.09566660724403
+    - type: cos_sim_f1
+      value: 90.20408163265306
+    - type: cos_sim_precision
+      value: 92.08333333333333
+    - type: cos_sim_recall
+      value: 88.4
+    - type: dot_accuracy
+      value: 99.8108910891089
+    - type: dot_ap
+      value: 95.09566660724403
+    - type: dot_f1
+      value: 90.20408163265306
+    - type: dot_precision
+      value: 92.08333333333333
+    - type: dot_recall
+      value: 88.4
+    - type: euclidean_accuracy
+      value: 99.8108910891089
+    - type: euclidean_ap
+      value: 95.09566660724404
+    - type: euclidean_f1
+      value: 90.20408163265306
+    - type: euclidean_precision
+      value: 92.08333333333333
+    - type: euclidean_recall
+      value: 88.4
+    - type: manhattan_accuracy
+      value: 99.8108910891089
+    - type: manhattan_ap
+      value: 95.05229326105041
+    - type: manhattan_f1
+      value: 90.30948756976154
+    - type: manhattan_precision
+      value: 91.65808444902163
+    - type: manhattan_recall
+      value: 89.0
+    - type: max_accuracy
+      value: 99.8108910891089
+    - type: max_ap
+      value: 95.09566660724404
+    - type: max_f1
+      value: 90.30948756976154
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 63.716387449356304
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.57171985530598
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 50.31022782714341
+    - type: mrr
+      value: 51.005100903997956
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.55380844566254
+    - type: cos_sim_spearman
+      value: 30.694665194755576
+    - type: dot_pearson
+      value: 30.553807051946595
+    - type: dot_spearman
+      value: 30.694665194755576
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.231
+    - type: map_at_10
+      value: 2.097
+    - type: map_at_100
+      value: 11.899999999999999
+    - type: map_at_1000
+      value: 27.965
+    - type: map_at_3
+      value: 0.7040000000000001
+    - type: map_at_5
+      value: 1.13
+    - type: mrr_at_1
+      value: 88.0
+    - type: mrr_at_10
+      value: 94.0
+    - type: mrr_at_100
+      value: 94.0
+    - type: mrr_at_1000
+      value: 94.0
+    - type: mrr_at_3
+      value: 94.0
+    - type: mrr_at_5
+      value: 94.0
+    - type: ndcg_at_1
+      value: 82.0
+    - type: ndcg_at_10
+      value: 79.72
+    - type: ndcg_at_100
+      value: 60.731
+    - type: ndcg_at_1000
+      value: 52.528
+    - type: ndcg_at_3
+      value: 84.776
+    - type: ndcg_at_5
+      value: 83.977
+    - type: precision_at_1
+      value: 88.0
+    - type: precision_at_10
+      value: 84.8
+    - type: precision_at_100
+      value: 62.46000000000001
+    - type: precision_at_1000
+      value: 23.336000000000002
+    - type: precision_at_3
+      value: 91.333
+    - type: precision_at_5
+      value: 89.60000000000001
+    - type: recall_at_1
+      value: 0.231
+    - type: recall_at_10
+      value: 2.242
+    - type: recall_at_100
+      value: 14.629
+    - type: recall_at_1000
+      value: 48.937999999999995
+    - type: recall_at_3
+      value: 0.733
+    - type: recall_at_5
+      value: 1.187
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.326
+    - type: map_at_10
+      value: 11.613
+    - type: map_at_100
+      value: 17.999000000000002
+    - type: map_at_1000
+      value: 19.579
+    - type: map_at_3
+      value: 5.5280000000000005
+    - type: map_at_5
+      value: 8.235000000000001
+    - type: mrr_at_1
+      value: 28.571
+    - type: mrr_at_10
+      value: 47.865
+    - type: mrr_at_100
+      value: 48.638999999999996
+    - type: mrr_at_1000
+      value: 48.638999999999996
+    - type: mrr_at_3
+      value: 42.516999999999996
+    - type: mrr_at_5
+      value: 46.293
+    - type: ndcg_at_1
+      value: 25.509999999999998
+    - type: ndcg_at_10
+      value: 28.663
+    - type: ndcg_at_100
+      value: 39.208
+    - type: ndcg_at_1000
+      value: 50.32
+    - type: ndcg_at_3
+      value: 28.636
+    - type: ndcg_at_5
+      value: 28.819
+    - type: precision_at_1
+      value: 28.571
+    - type: precision_at_10
+      value: 27.143
+    - type: precision_at_100
+      value: 8.082
+    - type: precision_at_1000
+      value: 1.543
+    - type: precision_at_3
+      value: 31.293
+    - type: precision_at_5
+      value: 31.019999999999996
+    - type: recall_at_1
+      value: 2.326
+    - type: recall_at_10
+      value: 19.12
+    - type: recall_at_100
+      value: 49.721
+    - type: recall_at_1000
+      value: 83.123
+    - type: recall_at_3
+      value: 6.783
+    - type: recall_at_5
+      value: 11.472999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 70.39139999999999
+    - type: ap
+      value: 14.323066144268354
+    - type: f1
+      value: 54.37688697193885
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.81890209394454
+    - type: f1
+      value: 60.116654203584496
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 49.5398447532487
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 85.62317458425225
+    - type: cos_sim_ap
+      value: 72.58795996654061
+    - type: cos_sim_f1
+      value: 66.74816625916871
+    - type: cos_sim_precision
+      value: 62.1867881548975
+    - type: cos_sim_recall
+      value: 72.0316622691293
+    - type: dot_accuracy
+      value: 85.62317458425225
+    - type: dot_ap
+      value: 72.58796057492127
+    - type: dot_f1
+      value: 66.74816625916871
+    - type: dot_precision
+      value: 62.1867881548975
+    - type: dot_recall
+      value: 72.0316622691293
+    - type: euclidean_accuracy
+      value: 85.62317458425225
+    - type: euclidean_ap
+      value: 72.58798058258095
+    - type: euclidean_f1
+      value: 66.74816625916871
+    - type: euclidean_precision
+      value: 62.1867881548975
+    - type: euclidean_recall
+      value: 72.0316622691293
+    - type: manhattan_accuracy
+      value: 85.5754902545151
+    - type: manhattan_ap
+      value: 72.5765018516196
+    - type: manhattan_f1
+      value: 66.70611906734524
+    - type: manhattan_precision
+      value: 60.485082635758744
+    - type: manhattan_recall
+      value: 74.35356200527704
+    - type: max_accuracy
+      value: 85.62317458425225
+    - type: max_ap
+      value: 72.58798058258095
+    - type: max_f1
+      value: 66.74816625916871
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.03830480847596
+    - type: cos_sim_ap
+      value: 86.09219791618496
+    - type: cos_sim_f1
+      value: 78.19673991150107
+    - type: cos_sim_precision
+      value: 76.84531331301568
+    - type: cos_sim_recall
+      value: 79.59655066214968
+    - type: dot_accuracy
+      value: 89.03830480847596
+    - type: dot_ap
+      value: 86.09219596898019
+    - type: dot_f1
+      value: 78.19673991150107
+    - type: dot_precision
+      value: 76.84531331301568
+    - type: dot_recall
+      value: 79.59655066214968
+    - type: euclidean_accuracy
+      value: 89.03830480847596
+    - type: euclidean_ap
+      value: 86.09219836933755
+    - type: euclidean_f1
+      value: 78.19673991150107
+    - type: euclidean_precision
+      value: 76.84531331301568
+    - type: euclidean_recall
+      value: 79.59655066214968
+    - type: manhattan_accuracy
+      value: 89.04024527496411
+    - type: manhattan_ap
+      value: 86.07752622427454
+    - type: manhattan_f1
+      value: 78.17774911808216
+    - type: manhattan_precision
+      value: 77.04672897196262
+    - type: manhattan_recall
+      value: 79.3424699722821
+    - type: max_accuracy
+      value: 89.04024527496411
+    - type: max_ap
+      value: 86.09219836933755
+    - type: max_f1
+      value: 78.19673991150107
+---