Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: bge_finetuned
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 61.64179104477612
+    - type: ap
+      value: 25.20497978200253
+    - type: f1
+      value: 55.51169205110252
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 58.6114
+    - type: ap
+      value: 55.013881977883706
+    - type: f1
+      value: 58.0798269108889
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 27.009999999999994
+    - type: f1
+      value: 26.230644551993027
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.011000000000001
+    - type: map_at_10
+      value: 24.082
+    - type: map_at_100
+      value: 25.273
+    - type: map_at_1000
+      value: 25.336
+    - type: map_at_3
+      value: 20.341
+    - type: map_at_5
+      value: 22.155
+    - type: mrr_at_1
+      value: 14.651
+    - type: mrr_at_10
+      value: 24.306
+    - type: mrr_at_100
+      value: 25.503999999999998
+    - type: mrr_at_1000
+      value: 25.566
+    - type: mrr_at_3
+      value: 20.59
+    - type: mrr_at_5
+      value: 22.400000000000002
+    - type: ndcg_at_1
+      value: 14.011000000000001
+    - type: ndcg_at_10
+      value: 30.316
+    - type: ndcg_at_100
+      value: 36.146
+    - type: ndcg_at_1000
+      value: 37.972
+    - type: ndcg_at_3
+      value: 22.422
+    - type: ndcg_at_5
+      value: 25.727
+    - type: precision_at_1
+      value: 14.011000000000001
+    - type: precision_at_10
+      value: 5.0569999999999995
+    - type: precision_at_100
+      value: 0.7799999999999999
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 9.483
+    - type: precision_at_5
+      value: 7.312
+    - type: recall_at_1
+      value: 14.011000000000001
+    - type: recall_at_10
+      value: 50.568999999999996
+    - type: recall_at_100
+      value: 77.952
+    - type: recall_at_1000
+      value: 92.674
+    - type: recall_at_3
+      value: 28.449999999999996
+    - type: recall_at_5
+      value: 36.558
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 21.580787107217457
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 12.755947651867459
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 50.36895415359604
+    - type: mrr
+      value: 62.93244075100032
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 54.84190098866484
+    - type: cos_sim_spearman
+      value: 52.065644182348144
+    - type: euclidean_pearson
+      value: 54.181073661388034
+    - type: euclidean_spearman
+      value: 52.065644182348144
+    - type: manhattan_pearson
+      value: 54.98368207013862
+    - type: manhattan_spearman
+      value: 53.66387337016872
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 63.48051948051948
+    - type: f1
+      value: 61.45740352513437
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 16.23123129183937
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 6.846095550717324
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.587
+    - type: map_at_10
+      value: 20.032
+    - type: map_at_100
+      value: 21.2
+    - type: map_at_1000
+      value: 21.351
+    - type: map_at_3
+      value: 18.224
+    - type: map_at_5
+      value: 19.028
+    - type: mrr_at_1
+      value: 18.312
+    - type: mrr_at_10
+      value: 24.343999999999998
+    - type: mrr_at_100
+      value: 25.302000000000003
+    - type: mrr_at_1000
+      value: 25.385
+    - type: mrr_at_3
+      value: 22.461000000000002
+    - type: mrr_at_5
+      value: 23.219
+    - type: ndcg_at_1
+      value: 18.312
+    - type: ndcg_at_10
+      value: 24.05
+    - type: ndcg_at_100
+      value: 29.512
+    - type: ndcg_at_1000
+      value: 33.028999999999996
+    - type: ndcg_at_3
+      value: 20.947
+    - type: ndcg_at_5
+      value: 21.807000000000002
+    - type: precision_at_1
+      value: 18.312
+    - type: precision_at_10
+      value: 4.664
+    - type: precision_at_100
+      value: 0.9570000000000001
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 10.11
+    - type: precision_at_5
+      value: 7.066999999999999
+    - type: recall_at_1
+      value: 14.587
+    - type: recall_at_10
+      value: 31.865
+    - type: recall_at_100
+      value: 55.922000000000004
+    - type: recall_at_1000
+      value: 80.878
+    - type: recall_at_3
+      value: 22.229
+    - type: recall_at_5
+      value: 25.09
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.456
+    - type: map_at_10
+      value: 11.429
+    - type: map_at_100
+      value: 11.956
+    - type: map_at_1000
+      value: 12.04
+    - type: map_at_3
+      value: 10.309
+    - type: map_at_5
+      value: 11.006
+    - type: mrr_at_1
+      value: 10.637
+    - type: mrr_at_10
+      value: 14.047
+    - type: mrr_at_100
+      value: 14.591999999999999
+    - type: mrr_at_1000
+      value: 14.66
+    - type: mrr_at_3
+      value: 12.876999999999999
+    - type: mrr_at_5
+      value: 13.644
+    - type: ndcg_at_1
+      value: 10.637
+    - type: ndcg_at_10
+      value: 13.623
+    - type: ndcg_at_100
+      value: 16.337
+    - type: ndcg_at_1000
+      value: 18.881
+    - type: ndcg_at_3
+      value: 11.76
+    - type: ndcg_at_5
+      value: 12.803
+    - type: precision_at_1
+      value: 10.637
+    - type: precision_at_10
+      value: 2.611
+    - type: precision_at_100
+      value: 0.49899999999999994
+    - type: precision_at_1000
+      value: 0.08800000000000001
+    - type: precision_at_3
+      value: 5.7540000000000004
+    - type: precision_at_5
+      value: 4.306
+    - type: recall_at_1
+      value: 8.456
+    - type: recall_at_10
+      value: 17.543
+    - type: recall_at_100
+      value: 29.696
+    - type: recall_at_1000
+      value: 48.433
+    - type: recall_at_3
+      value: 12.299
+    - type: recall_at_5
+      value: 15.126000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.517999999999999
+    - type: map_at_10
+      value: 14.924999999999999
+    - type: map_at_100
+      value: 15.716
+    - type: map_at_1000
+      value: 15.804000000000002
+    - type: map_at_3
+      value: 13.228000000000002
+    - type: map_at_5
+      value: 14.155999999999999
+    - type: mrr_at_1
+      value: 12.790000000000001
+    - type: mrr_at_10
+      value: 17.122999999999998
+    - type: mrr_at_100
+      value: 17.874000000000002
+    - type: mrr_at_1000
+      value: 17.947
+    - type: mrr_at_3
+      value: 15.528
+    - type: mrr_at_5
+      value: 16.421
+    - type: ndcg_at_1
+      value: 12.790000000000001
+    - type: ndcg_at_10
+      value: 17.967
+    - type: ndcg_at_100
+      value: 22.016
+    - type: ndcg_at_1000
+      value: 24.57
+    - type: ndcg_at_3
+      value: 14.745
+    - type: ndcg_at_5
+      value: 16.247
+    - type: precision_at_1
+      value: 12.790000000000001
+    - type: precision_at_10
+      value: 3.229
+    - type: precision_at_100
+      value: 0.592
+    - type: precision_at_1000
+      value: 0.087
+    - type: precision_at_3
+      value: 6.792
+    - type: precision_at_5
+      value: 5.066
+    - type: recall_at_1
+      value: 10.517999999999999
+    - type: recall_at_10
+      value: 25.194
+    - type: recall_at_100
+      value: 43.858999999999995
+    - type: recall_at_1000
+      value: 63.410999999999994
+    - type: recall_at_3
+      value: 16.384999999999998
+    - type: recall_at_5
+      value: 20.09
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.325000000000001
+    - type: map_at_10
+      value: 12.262
+    - type: map_at_100
+      value: 13.003
+    - type: map_at_1000
+      value: 13.126999999999999
+    - type: map_at_3
+      value: 10.946
+    - type: map_at_5
+      value: 11.581
+    - type: mrr_at_1
+      value: 9.379
+    - type: mrr_at_10
+      value: 13.527000000000001
+    - type: mrr_at_100
+      value: 14.249999999999998
+    - type: mrr_at_1000
+      value: 14.365
+    - type: mrr_at_3
+      value: 12.166
+    - type: mrr_at_5
+      value: 12.798000000000002
+    - type: ndcg_at_1
+      value: 9.379
+    - type: ndcg_at_10
+      value: 14.878
+    - type: ndcg_at_100
+      value: 19.17
+    - type: ndcg_at_1000
+      value: 22.861
+    - type: ndcg_at_3
+      value: 12.136
+    - type: ndcg_at_5
+      value: 13.209000000000001
+    - type: precision_at_1
+      value: 9.379
+    - type: precision_at_10
+      value: 2.5309999999999997
+    - type: precision_at_100
+      value: 0.505
+    - type: precision_at_1000
+      value: 0.086
+    - type: precision_at_3
+      value: 5.386
+    - type: precision_at_5
+      value: 3.887
+    - type: recall_at_1
+      value: 8.325000000000001
+    - type: recall_at_10
+      value: 21.886
+    - type: recall_at_100
+      value: 42.977
+    - type: recall_at_1000
+      value: 71.946
+    - type: recall_at_3
+      value: 14.123
+    - type: recall_at_5
+      value: 16.747
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.982
+    - type: map_at_10
+      value: 9.249
+    - type: map_at_100
+      value: 10.0
+    - type: map_at_1000
+      value: 10.127
+    - type: map_at_3
+      value: 7.913
+    - type: map_at_5
+      value: 8.540000000000001
+    - type: mrr_at_1
+      value: 7.960000000000001
+    - type: mrr_at_10
+      value: 11.703
+    - type: mrr_at_100
+      value: 12.43
+    - type: mrr_at_1000
+      value: 12.534999999999998
+    - type: mrr_at_3
+      value: 10.344000000000001
+    - type: mrr_at_5
+      value: 11.022
+    - type: ndcg_at_1
+      value: 7.960000000000001
+    - type: ndcg_at_10
+      value: 11.863
+    - type: ndcg_at_100
+      value: 16.086
+    - type: ndcg_at_1000
+      value: 19.738
+    - type: ndcg_at_3
+      value: 9.241000000000001
+    - type: ndcg_at_5
+      value: 10.228
+    - type: precision_at_1
+      value: 7.960000000000001
+    - type: precision_at_10
+      value: 2.4
+    - type: precision_at_100
+      value: 0.534
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 4.561
+    - type: precision_at_5
+      value: 3.408
+    - type: recall_at_1
+      value: 5.982
+    - type: recall_at_10
+      value: 17.669999999999998
+    - type: recall_at_100
+      value: 37.261
+    - type: recall_at_1000
+      value: 64.416
+    - type: recall_at_3
+      value: 10.376000000000001
+    - type: recall_at_5
+      value: 12.933
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.068
+    - type: map_at_10
+      value: 12.101
+    - type: map_at_100
+      value: 12.828000000000001
+    - type: map_at_1000
+      value: 12.953000000000001
+    - type: map_at_3
+      value: 11.047
+    - type: map_at_5
+      value: 11.542
+    - type: mrr_at_1
+      value: 10.972
+    - type: mrr_at_10
+      value: 14.873
+    - type: mrr_at_100
+      value: 15.584000000000001
+    - type: mrr_at_1000
+      value: 15.681999999999999
+    - type: mrr_at_3
+      value: 13.523
+    - type: mrr_at_5
+      value: 14.254
+    - type: ndcg_at_1
+      value: 10.972
+    - type: ndcg_at_10
+      value: 14.557999999999998
+    - type: ndcg_at_100
+      value: 18.56
+    - type: ndcg_at_1000
+      value: 21.975
+    - type: ndcg_at_3
+      value: 12.436
+    - type: ndcg_at_5
+      value: 13.270999999999999
+    - type: precision_at_1
+      value: 10.972
+    - type: precision_at_10
+      value: 2.714
+    - type: precision_at_100
+      value: 0.5720000000000001
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 5.711
+    - type: precision_at_5
+      value: 4.1579999999999995
+    - type: recall_at_1
+      value: 9.068
+    - type: recall_at_10
+      value: 19.381999999999998
+    - type: recall_at_100
+      value: 37.602999999999994
+    - type: recall_at_1000
+      value: 62.376
+    - type: recall_at_3
+      value: 13.48
+    - type: recall_at_5
+      value: 15.506
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.206
+    - type: map_at_10
+      value: 12.032
+    - type: map_at_100
+      value: 12.992
+    - type: map_at_1000
+      value: 13.135
+    - type: map_at_3
+      value: 10.741
+    - type: map_at_5
+      value: 11.392
+    - type: mrr_at_1
+      value: 10.502
+    - type: mrr_at_10
+      value: 14.818999999999999
+    - type: mrr_at_100
+      value: 15.716
+    - type: mrr_at_1000
+      value: 15.823
+    - type: mrr_at_3
+      value: 13.375
+    - type: mrr_at_5
+      value: 14.169
+    - type: ndcg_at_1
+      value: 10.502
+    - type: ndcg_at_10
+      value: 14.790000000000001
+    - type: ndcg_at_100
+      value: 19.881999999999998
+    - type: ndcg_at_1000
+      value: 23.703
+    - type: ndcg_at_3
+      value: 12.281
+    - type: ndcg_at_5
+      value: 13.33
+    - type: precision_at_1
+      value: 10.502
+    - type: precision_at_10
+      value: 2.911
+    - type: precision_at_100
+      value: 0.668
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 6.012
+    - type: precision_at_5
+      value: 4.475
+    - type: recall_at_1
+      value: 8.206
+    - type: recall_at_10
+      value: 20.508000000000003
+    - type: recall_at_100
+      value: 43.568
+    - type: recall_at_1000
+      value: 71.56400000000001
+    - type: recall_at_3
+      value: 13.607
+    - type: recall_at_5
+      value: 16.211000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.4159999999999995
+    - type: map_at_10
+      value: 9.581000000000001
+    - type: map_at_100
+      value: 10.123999999999999
+    - type: map_at_1000
+      value: 10.226
+    - type: map_at_3
+      value: 8.51
+    - type: map_at_5
+      value: 9.078999999999999
+    - type: mrr_at_1
+      value: 7.515
+    - type: mrr_at_10
+      value: 10.801
+    - type: mrr_at_100
+      value: 11.373
+    - type: mrr_at_1000
+      value: 11.466999999999999
+    - type: mrr_at_3
+      value: 9.637
+    - type: mrr_at_5
+      value: 10.197000000000001
+    - type: ndcg_at_1
+      value: 7.515
+    - type: ndcg_at_10
+      value: 11.776
+    - type: ndcg_at_100
+      value: 14.776
+    - type: ndcg_at_1000
+      value: 17.7
+    - type: ndcg_at_3
+      value: 9.515
+    - type: ndcg_at_5
+      value: 10.511
+    - type: precision_at_1
+      value: 7.515
+    - type: precision_at_10
+      value: 2.086
+    - type: precision_at_100
+      value: 0.402
+    - type: precision_at_1000
+      value: 0.07100000000000001
+    - type: precision_at_3
+      value: 4.397
+    - type: precision_at_5
+      value: 3.19
+    - type: recall_at_1
+      value: 6.4159999999999995
+    - type: recall_at_10
+      value: 17.468
+    - type: recall_at_100
+      value: 31.398
+    - type: recall_at_1000
+      value: 53.686
+    - type: recall_at_3
+      value: 11.379999999999999
+    - type: recall_at_5
+      value: 13.745
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.646
+    - type: map_at_10
+      value: 7.047000000000001
+    - type: map_at_100
+      value: 7.697
+    - type: map_at_1000
+      value: 7.806
+    - type: map_at_3
+      value: 6.258
+    - type: map_at_5
+      value: 6.628
+    - type: mrr_at_1
+      value: 5.919
+    - type: mrr_at_10
+      value: 8.767999999999999
+    - type: mrr_at_100
+      value: 9.434
+    - type: mrr_at_1000
+      value: 9.524000000000001
+    - type: mrr_at_3
+      value: 7.8
+    - type: mrr_at_5
+      value: 8.275
+    - type: ndcg_at_1
+      value: 5.919
+    - type: ndcg_at_10
+      value: 8.927999999999999
+    - type: ndcg_at_100
+      value: 12.467
+    - type: ndcg_at_1000
+      value: 15.674
+    - type: ndcg_at_3
+      value: 7.3260000000000005
+    - type: ndcg_at_5
+      value: 7.931000000000001
+    - type: precision_at_1
+      value: 5.919
+    - type: precision_at_10
+      value: 1.7760000000000002
+    - type: precision_at_100
+      value: 0.438
+    - type: precision_at_1000
+      value: 0.086
+    - type: precision_at_3
+      value: 3.6249999999999996
+    - type: precision_at_5
+      value: 2.657
+    - type: recall_at_1
+      value: 4.646
+    - type: recall_at_10
+      value: 12.973
+    - type: recall_at_100
+      value: 29.444
+    - type: recall_at_1000
+      value: 53.413999999999994
+    - type: recall_at_3
+      value: 8.378
+    - type: recall_at_5
+      value: 9.957
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.202
+    - type: map_at_10
+      value: 13.402
+    - type: map_at_100
+      value: 14.330000000000002
+    - type: map_at_1000
+      value: 14.455000000000002
+    - type: map_at_3
+      value: 11.916
+    - type: map_at_5
+      value: 12.828000000000001
+    - type: mrr_at_1
+      value: 10.634
+    - type: mrr_at_10
+      value: 15.528
+    - type: mrr_at_100
+      value: 16.393
+    - type: mrr_at_1000
+      value: 16.497999999999998
+    - type: mrr_at_3
+      value: 13.837
+    - type: mrr_at_5
+      value: 14.821000000000002
+    - type: ndcg_at_1
+      value: 10.634
+    - type: ndcg_at_10
+      value: 16.267
+    - type: ndcg_at_100
+      value: 21.149
+    - type: ndcg_at_1000
+      value: 24.509
+    - type: ndcg_at_3
+      value: 13.320000000000002
+    - type: ndcg_at_5
+      value: 14.857000000000001
+    - type: precision_at_1
+      value: 10.634
+    - type: precision_at_10
+      value: 2.948
+    - type: precision_at_100
+      value: 0.618
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 6.188
+    - type: precision_at_5
+      value: 4.7010000000000005
+    - type: recall_at_1
+      value: 9.202
+    - type: recall_at_10
+      value: 22.921
+    - type: recall_at_100
+      value: 45.292
+    - type: recall_at_1000
+      value: 69.853
+    - type: recall_at_3
+      value: 15.126000000000001
+    - type: recall_at_5
+      value: 18.863
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.278
+    - type: map_at_10
+      value: 15.72
+    - type: map_at_100
+      value: 16.832
+    - type: map_at_1000
+      value: 17.025000000000002
+    - type: map_at_3
+      value: 13.852999999999998
+    - type: map_at_5
+      value: 14.654
+    - type: mrr_at_1
+      value: 14.822
+    - type: mrr_at_10
+      value: 19.564
+    - type: mrr_at_100
+      value: 20.509
+    - type: mrr_at_1000
+      value: 20.607
+    - type: mrr_at_3
+      value: 17.721
+    - type: mrr_at_5
+      value: 18.451999999999998
+    - type: ndcg_at_1
+      value: 14.822
+    - type: ndcg_at_10
+      value: 19.548
+    - type: ndcg_at_100
+      value: 24.734
+    - type: ndcg_at_1000
+      value: 28.832
+    - type: ndcg_at_3
+      value: 16.14
+    - type: ndcg_at_5
+      value: 17.253
+    - type: precision_at_1
+      value: 14.822
+    - type: precision_at_10
+      value: 3.972
+    - type: precision_at_100
+      value: 0.943
+    - type: precision_at_1000
+      value: 0.183
+    - type: precision_at_3
+      value: 7.642
+    - type: precision_at_5
+      value: 5.6129999999999995
+    - type: recall_at_1
+      value: 11.278
+    - type: recall_at_10
+      value: 27.006999999999998
+    - type: recall_at_100
+      value: 51.012
+    - type: recall_at_1000
+      value: 79.833
+    - type: recall_at_3
+      value: 16.785
+    - type: recall_at_5
+      value: 19.82
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.305
+    - type: map_at_10
+      value: 9.099
+    - type: map_at_100
+      value: 9.927999999999999
+    - type: map_at_1000
+      value: 10.027
+    - type: map_at_3
+      value: 7.7700000000000005
+    - type: map_at_5
+      value: 8.333
+    - type: mrr_at_1
+      value: 6.1
+    - type: mrr_at_10
+      value: 10.227
+    - type: mrr_at_100
+      value: 11.057
+    - type: mrr_at_1000
+      value: 11.151
+    - type: mrr_at_3
+      value: 8.842
+    - type: mrr_at_5
+      value: 9.442
+    - type: ndcg_at_1
+      value: 6.1
+    - type: ndcg_at_10
+      value: 11.769
+    - type: ndcg_at_100
+      value: 16.378999999999998
+    - type: ndcg_at_1000
+      value: 19.517
+    - type: ndcg_at_3
+      value: 8.936
+    - type: ndcg_at_5
+      value: 9.907
+    - type: precision_at_1
+      value: 6.1
+    - type: precision_at_10
+      value: 2.181
+    - type: precision_at_100
+      value: 0.481
+    - type: precision_at_1000
+      value: 0.08099999999999999
+    - type: precision_at_3
+      value: 4.19
+    - type: precision_at_5
+      value: 3.031
+    - type: recall_at_1
+      value: 5.305
+    - type: recall_at_10
+      value: 19.236
+    - type: recall_at_100
+      value: 41.333999999999996
+    - type: recall_at_1000
+      value: 65.96600000000001
+    - type: recall_at_3
+      value: 11.189
+    - type: recall_at_5
+      value: 13.592
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.882
+    - type: map_at_10
+      value: 1.6
+    - type: map_at_100
+      value: 1.894
+    - type: map_at_1000
+      value: 1.9640000000000002
+    - type: map_at_3
+      value: 1.345
+    - type: map_at_5
+      value: 1.444
+    - type: mrr_at_1
+      value: 2.2800000000000002
+    - type: mrr_at_10
+      value: 3.8510000000000004
+    - type: mrr_at_100
+      value: 4.401
+    - type: mrr_at_1000
+      value: 4.472
+    - type: mrr_at_3
+      value: 3.2359999999999998
+    - type: mrr_at_5
+      value: 3.519
+    - type: ndcg_at_1
+      value: 2.2800000000000002
+    - type: ndcg_at_10
+      value: 2.5829999999999997
+    - type: ndcg_at_100
+      value: 4.629
+    - type: ndcg_at_1000
+      value: 6.709
+    - type: ndcg_at_3
+      value: 1.978
+    - type: ndcg_at_5
+      value: 2.133
+    - type: precision_at_1
+      value: 2.2800000000000002
+    - type: precision_at_10
+      value: 0.86
+    - type: precision_at_100
+      value: 0.298
+    - type: precision_at_1000
+      value: 0.065
+    - type: precision_at_3
+      value: 1.52
+    - type: precision_at_5
+      value: 1.173
+    - type: recall_at_1
+      value: 0.882
+    - type: recall_at_10
+      value: 3.273
+    - type: recall_at_100
+      value: 11.254
+    - type: recall_at_1000
+      value: 23.988
+    - type: recall_at_3
+      value: 1.818
+    - type: recall_at_5
+      value: 2.236
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.057
+    - type: map_at_10
+      value: 2.289
+    - type: map_at_100
+      value: 2.844
+    - type: map_at_1000
+      value: 3.026
+    - type: map_at_3
+      value: 1.661
+    - type: map_at_5
+      value: 1.931
+    - type: mrr_at_1
+      value: 12.75
+    - type: mrr_at_10
+      value: 17.645
+    - type: mrr_at_100
+      value: 18.312
+    - type: mrr_at_1000
+      value: 18.385
+    - type: mrr_at_3
+      value: 15.958
+    - type: mrr_at_5
+      value: 17.046
+    - type: ndcg_at_1
+      value: 10.0
+    - type: ndcg_at_10
+      value: 6.890000000000001
+    - type: ndcg_at_100
+      value: 7.131
+    - type: ndcg_at_1000
+      value: 9.725
+    - type: ndcg_at_3
+      value: 8.222
+    - type: ndcg_at_5
+      value: 7.536
+    - type: precision_at_1
+      value: 12.75
+    - type: precision_at_10
+      value: 5.925
+    - type: precision_at_100
+      value: 1.6469999999999998
+    - type: precision_at_1000
+      value: 0.40299999999999997
+    - type: precision_at_3
+      value: 9.667
+    - type: precision_at_5
+      value: 8.0
+    - type: recall_at_1
+      value: 1.057
+    - type: recall_at_10
+      value: 3.8580000000000005
+    - type: recall_at_100
+      value: 8.685
+    - type: recall_at_1000
+      value: 17.605
+    - type: recall_at_3
+      value: 2.041
+    - type: recall_at_5
+      value: 2.811
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 20.674999999999997
+    - type: f1
+      value: 17.79184478487413
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.637
+    - type: map_at_10
+      value: 3.9730000000000003
+    - type: map_at_100
+      value: 4.228
+    - type: map_at_1000
+      value: 4.268000000000001
+    - type: map_at_3
+      value: 3.542
+    - type: map_at_5
+      value: 3.763
+    - type: mrr_at_1
+      value: 2.7449999999999997
+    - type: mrr_at_10
+      value: 4.146
+    - type: mrr_at_100
+      value: 4.42
+    - type: mrr_at_1000
+      value: 4.460999999999999
+    - type: mrr_at_3
+      value: 3.695
+    - type: mrr_at_5
+      value: 3.925
+    - type: ndcg_at_1
+      value: 2.7449999999999997
+    - type: ndcg_at_10
+      value: 4.801
+    - type: ndcg_at_100
+      value: 6.198
+    - type: ndcg_at_1000
+      value: 7.468
+    - type: ndcg_at_3
+      value: 3.882
+    - type: ndcg_at_5
+      value: 4.283
+    - type: precision_at_1
+      value: 2.7449999999999997
+    - type: precision_at_10
+      value: 0.771
+    - type: precision_at_100
+      value: 0.152
+    - type: precision_at_1000
+      value: 0.027
+    - type: precision_at_3
+      value: 1.6549999999999998
+    - type: precision_at_5
+      value: 1.206
+    - type: recall_at_1
+      value: 2.637
+    - type: recall_at_10
+      value: 7.2669999999999995
+    - type: recall_at_100
+      value: 13.982
+    - type: recall_at_1000
+      value: 24.192
+    - type: recall_at_3
+      value: 4.712000000000001
+    - type: recall_at_5
+      value: 5.6739999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.91
+    - type: map_at_10
+      value: 5.721
+    - type: map_at_100
+      value: 6.489000000000001
+    - type: map_at_1000
+      value: 6.642
+    - type: map_at_3
+      value: 4.797
+    - type: map_at_5
+      value: 5.292
+    - type: mrr_at_1
+      value: 6.481000000000001
+    - type: mrr_at_10
+      value: 10.624
+    - type: mrr_at_100
+      value: 11.498999999999999
+    - type: mrr_at_1000
+      value: 11.599
+    - type: mrr_at_3
+      value: 9.285
+    - type: mrr_at_5
+      value: 10.003
+    - type: ndcg_at_1
+      value: 6.481000000000001
+    - type: ndcg_at_10
+      value: 8.303
+    - type: ndcg_at_100
+      value: 12.512
+    - type: ndcg_at_1000
+      value: 16.665
+    - type: ndcg_at_3
+      value: 6.827
+    - type: ndcg_at_5
+      value: 7.367
+    - type: precision_at_1
+      value: 6.481000000000001
+    - type: precision_at_10
+      value: 2.485
+    - type: precision_at_100
+      value: 0.668
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 4.733
+    - type: precision_at_5
+      value: 3.642
+    - type: recall_at_1
+      value: 2.91
+    - type: recall_at_10
+      value: 11.239
+    - type: recall_at_100
+      value: 27.877999999999997
+    - type: recall_at_1000
+      value: 54.507000000000005
+    - type: recall_at_3
+      value: 6.683
+    - type: recall_at_5
+      value: 8.591
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.073
+    - type: map_at_10
+      value: 2.919
+    - type: map_at_100
+      value: 3.107
+    - type: map_at_1000
+      value: 3.143
+    - type: map_at_3
+      value: 2.6100000000000003
+    - type: map_at_5
+      value: 2.773
+    - type: mrr_at_1
+      value: 4.146
+    - type: mrr_at_10
+      value: 5.657
+    - type: mrr_at_100
+      value: 5.970000000000001
+    - type: mrr_at_1000
+      value: 6.022
+    - type: mrr_at_3
+      value: 5.116
+    - type: mrr_at_5
+      value: 5.411
+    - type: ndcg_at_1
+      value: 4.146
+    - type: ndcg_at_10
+      value: 4.115
+    - type: ndcg_at_100
+      value: 5.319
+    - type: ndcg_at_1000
+      value: 6.584
+    - type: ndcg_at_3
+      value: 3.3709999999999996
+    - type: ndcg_at_5
+      value: 3.7159999999999997
+    - type: precision_at_1
+      value: 4.146
+    - type: precision_at_10
+      value: 0.983
+    - type: precision_at_100
+      value: 0.197
+    - type: precision_at_1000
+      value: 0.037
+    - type: precision_at_3
+      value: 2.152
+    - type: precision_at_5
+      value: 1.564
+    - type: recall_at_1
+      value: 2.073
+    - type: recall_at_10
+      value: 4.916
+    - type: recall_at_100
+      value: 9.844999999999999
+    - type: recall_at_1000
+      value: 18.454
+    - type: recall_at_3
+      value: 3.228
+    - type: recall_at_5
+      value: 3.91
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 53.28480000000001
+    - type: ap
+      value: 51.81084207241404
+    - type: f1
+      value: 52.83683146513476
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.613
+    - type: map_at_10
+      value: 4.33
+    - type: map_at_100
+      value: 4.681
+    - type: map_at_1000
+      value: 4.731
+    - type: map_at_3
+      value: 3.7560000000000002
+    - type: map_at_5
+      value: 4.035
+    - type: mrr_at_1
+      value: 2.665
+    - type: mrr_at_10
+      value: 4.436
+    - type: mrr_at_100
+      value: 4.797
+    - type: mrr_at_1000
+      value: 4.848
+    - type: mrr_at_3
+      value: 3.83
+    - type: mrr_at_5
+      value: 4.123
+    - type: ndcg_at_1
+      value: 2.665
+    - type: ndcg_at_10
+      value: 5.399
+    - type: ndcg_at_100
+      value: 7.402
+    - type: ndcg_at_1000
+      value: 9.08
+    - type: ndcg_at_3
+      value: 4.1579999999999995
+    - type: ndcg_at_5
+      value: 4.664
+    - type: precision_at_1
+      value: 2.665
+    - type: precision_at_10
+      value: 0.907
+    - type: precision_at_100
+      value: 0.19499999999999998
+    - type: precision_at_1000
+      value: 0.034
+    - type: precision_at_3
+      value: 1.791
+    - type: precision_at_5
+      value: 1.3299999999999998
+    - type: recall_at_1
+      value: 2.613
+    - type: recall_at_10
+      value: 8.729000000000001
+    - type: recall_at_100
+      value: 18.668000000000003
+    - type: recall_at_1000
+      value: 32.387
+    - type: recall_at_3
+      value: 5.25
+    - type: recall_at_5
+      value: 6.465
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 73.57729138166896
+    - type: f1
+      value: 71.0267308110663
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 38.76652986776106
+    - type: f1
+      value: 24.385724192837007
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 43.43308675184936
+    - type: f1
+      value: 39.072401899805016
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 55.225285810356425
+    - type: f1
+      value: 49.81719052485716
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 20.583405653329283
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 17.155646378261917
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 24.26316550665883
+    - type: mrr
+      value: 23.951621402458755
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.4040000000000001
+    - type: map_at_10
+      value: 2.199
+    - type: map_at_100
+      value: 2.597
+    - type: map_at_1000
+      value: 3.15
+    - type: map_at_3
+      value: 1.7850000000000001
+    - type: map_at_5
+      value: 2.005
+    - type: mrr_at_1
+      value: 13.932
+    - type: mrr_at_10
+      value: 19.529
+    - type: mrr_at_100
+      value: 20.53
+    - type: mrr_at_1000
+      value: 20.635
+    - type: mrr_at_3
+      value: 17.647
+    - type: mrr_at_5
+      value: 18.731
+    - type: ndcg_at_1
+      value: 12.539
+    - type: ndcg_at_10
+      value: 8.676
+    - type: ndcg_at_100
+      value: 8.092
+    - type: ndcg_at_1000
+      value: 16.375999999999998
+    - type: ndcg_at_3
+      value: 10.615
+    - type: ndcg_at_5
+      value: 9.690999999999999
+    - type: precision_at_1
+      value: 13.622
+    - type: precision_at_10
+      value: 6.315999999999999
+    - type: precision_at_100
+      value: 2.486
+    - type: precision_at_1000
+      value: 1.317
+    - type: precision_at_3
+      value: 10.113999999999999
+    - type: precision_at_5
+      value: 8.235000000000001
+    - type: recall_at_1
+      value: 1.4040000000000001
+    - type: recall_at_10
+      value: 3.794
+    - type: recall_at_100
+      value: 9.71
+    - type: recall_at_1000
+      value: 37.476
+    - type: recall_at_3
+      value: 2.197
+    - type: recall_at_5
+      value: 2.929
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.299
+    - type: map_at_10
+      value: 2.7279999999999998
+    - type: map_at_100
+      value: 3.065
+    - type: map_at_1000
+      value: 3.118
+    - type: map_at_3
+      value: 2.182
+    - type: map_at_5
+      value: 2.48
+    - type: mrr_at_1
+      value: 1.6219999999999999
+    - type: mrr_at_10
+      value: 3.237
+    - type: mrr_at_100
+      value: 3.5749999999999997
+    - type: mrr_at_1000
+      value: 3.626
+    - type: mrr_at_3
+      value: 2.6550000000000002
+    - type: mrr_at_5
+      value: 2.9770000000000003
+    - type: ndcg_at_1
+      value: 1.6219999999999999
+    - type: ndcg_at_10
+      value: 3.768
+    - type: ndcg_at_100
+      value: 5.721
+    - type: ndcg_at_1000
+      value: 7.346
+    - type: ndcg_at_3
+      value: 2.604
+    - type: ndcg_at_5
+      value: 3.1530000000000005
+    - type: precision_at_1
+      value: 1.6219999999999999
+    - type: precision_at_10
+      value: 0.776
+    - type: precision_at_100
+      value: 0.194
+    - type: precision_at_1000
+      value: 0.034999999999999996
+    - type: precision_at_3
+      value: 1.371
+    - type: precision_at_5
+      value: 1.1119999999999999
+    - type: recall_at_1
+      value: 1.299
+    - type: recall_at_10
+      value: 6.54
+    - type: recall_at_100
+      value: 16.014999999999997
+    - type: recall_at_1000
+      value: 28.776000000000003
+    - type: recall_at_3
+      value: 3.37
+    - type: recall_at_5
+      value: 4.676
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 50.827
+    - type: map_at_10
+      value: 60.903
+    - type: map_at_100
+      value: 61.67700000000001
+    - type: map_at_1000
+      value: 61.729
+    - type: map_at_3
+      value: 58.411
+    - type: map_at_5
+      value: 59.854
+    - type: mrr_at_1
+      value: 58.52
+    - type: mrr_at_10
+      value: 65.53999999999999
+    - type: mrr_at_100
+      value: 65.94
+    - type: mrr_at_1000
+      value: 65.962
+    - type: mrr_at_3
+      value: 63.905
+    - type: mrr_at_5
+      value: 64.883
+    - type: ndcg_at_1
+      value: 58.51
+    - type: ndcg_at_10
+      value: 65.458
+    - type: ndcg_at_100
+      value: 68.245
+    - type: ndcg_at_1000
+      value: 69.244
+    - type: ndcg_at_3
+      value: 61.970000000000006
+    - type: ndcg_at_5
+      value: 63.664
+    - type: precision_at_1
+      value: 58.51
+    - type: precision_at_10
+      value: 9.873999999999999
+    - type: precision_at_100
+      value: 1.24
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 26.650000000000002
+    - type: precision_at_5
+      value: 17.666
+    - type: recall_at_1
+      value: 50.827
+    - type: recall_at_10
+      value: 74.13300000000001
+    - type: recall_at_100
+      value: 85.724
+    - type: recall_at_1000
+      value: 92.551
+    - type: recall_at_3
+      value: 64.122
+    - type: recall_at_5
+      value: 68.757
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 15.106948858308094
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 30.968103547012337
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.4749999999999999
+    - type: map_at_10
+      value: 3.434
+    - type: map_at_100
+      value: 4.139
+    - type: map_at_1000
+      value: 4.312
+    - type: map_at_3
+      value: 2.554
+    - type: map_at_5
+      value: 2.999
+    - type: mrr_at_1
+      value: 7.3
+    - type: mrr_at_10
+      value: 12.031
+    - type: mrr_at_100
+      value: 12.97
+    - type: mrr_at_1000
+      value: 13.092
+    - type: mrr_at_3
+      value: 10.217
+    - type: mrr_at_5
+      value: 11.172
+    - type: ndcg_at_1
+      value: 7.3
+    - type: ndcg_at_10
+      value: 6.406000000000001
+    - type: ndcg_at_100
+      value: 10.302999999999999
+    - type: ndcg_at_1000
+      value: 14.791000000000002
+    - type: ndcg_at_3
+      value: 5.982
+    - type: ndcg_at_5
+      value: 5.274
+    - type: precision_at_1
+      value: 7.3
+    - type: precision_at_10
+      value: 3.37
+    - type: precision_at_100
+      value: 0.914
+    - type: precision_at_1000
+      value: 0.201
+    - type: precision_at_3
+      value: 5.567
+    - type: precision_at_5
+      value: 4.68
+    - type: recall_at_1
+      value: 1.4749999999999999
+    - type: recall_at_10
+      value: 6.79
+    - type: recall_at_100
+      value: 18.55
+    - type: recall_at_1000
+      value: 40.842
+    - type: recall_at_3
+      value: 3.36
+    - type: recall_at_5
+      value: 4.72
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 59.464420082440526
+    - type: cos_sim_spearman
+      value: 54.319988337451704
+    - type: euclidean_pearson
+      value: 57.042312873314295
+    - type: euclidean_spearman
+      value: 54.31996388571784
+    - type: manhattan_pearson
+      value: 57.078786802338435
+    - type: manhattan_spearman
+      value: 54.323312153757456
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 60.08105871689929
+    - type: cos_sim_spearman
+      value: 57.53293836132526
+    - type: euclidean_pearson
+      value: 57.69984777047449
+    - type: euclidean_spearman
+      value: 57.534154476967345
+    - type: manhattan_pearson
+      value: 57.661519973840946
+    - type: manhattan_spearman
+      value: 57.447636234309854
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 57.12692049687197
+    - type: cos_sim_spearman
+      value: 57.4759438730368
+    - type: euclidean_pearson
+      value: 58.41782334532981
+    - type: euclidean_spearman
+      value: 57.47613008122331
+    - type: manhattan_pearson
+      value: 58.41335837274888
+    - type: manhattan_spearman
+      value: 57.465936751045746
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 53.84165004759765
+    - type: cos_sim_spearman
+      value: 52.32112048731462
+    - type: euclidean_pearson
+      value: 52.790405817119094
+    - type: euclidean_spearman
+      value: 52.32112268628659
+    - type: manhattan_pearson
+      value: 52.804939090733804
+    - type: manhattan_spearman
+      value: 52.31750678935915
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.555819199866036
+    - type: cos_sim_spearman
+      value: 64.05841117331784
+    - type: euclidean_pearson
+      value: 63.659991414541786
+    - type: euclidean_spearman
+      value: 64.05841071779129
+    - type: manhattan_pearson
+      value: 63.6915442281397
+    - type: manhattan_spearman
+      value: 64.07728265258595
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.03024268207247
+    - type: cos_sim_spearman
+      value: 63.53003651570799
+    - type: euclidean_pearson
+      value: 64.09620752390686
+    - type: euclidean_spearman
+      value: 63.530036058718096
+    - type: manhattan_pearson
+      value: 64.07468313413827
+    - type: manhattan_spearman
+      value: 63.526415746516285
+  - 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: 70.18862439704168
+    - type: cos_sim_spearman
+      value: 70.97966882821095
+    - type: euclidean_pearson
+      value: 71.04858522892525
+    - type: euclidean_spearman
+      value: 70.97966882821095
+    - type: manhattan_pearson
+      value: 71.0777838495318
+    - type: manhattan_spearman
+      value: 71.08141859528023
+  - 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: 49.680993011354964
+    - type: cos_sim_spearman
+      value: 55.990646519065734
+    - type: euclidean_pearson
+      value: 52.53309325175639
+    - type: euclidean_spearman
+      value: 55.990646519065734
+    - type: manhattan_pearson
+      value: 52.55809108662631
+    - type: manhattan_spearman
+      value: 55.65236114980215
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 61.18394695826386
+    - type: cos_sim_spearman
+      value: 60.77402126712771
+    - type: euclidean_pearson
+      value: 61.202070794992736
+    - type: euclidean_spearman
+      value: 60.77402126712771
+    - type: manhattan_pearson
+      value: 61.2505175850885
+    - type: manhattan_spearman
+      value: 60.77213463387346
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 58.251838750265804
+    - type: mrr
+      value: 81.27406090641384
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.833
+    - type: map_at_10
+      value: 11.219999999999999
+    - type: map_at_100
+      value: 12.086
+    - type: map_at_1000
+      value: 12.200999999999999
+    - type: map_at_3
+      value: 10.056
+    - type: map_at_5
+      value: 10.664
+    - type: mrr_at_1
+      value: 9.0
+    - type: mrr_at_10
+      value: 11.875
+    - type: mrr_at_100
+      value: 12.757
+    - type: mrr_at_1000
+      value: 12.864
+    - type: mrr_at_3
+      value: 10.722
+    - type: mrr_at_5
+      value: 11.322000000000001
+    - type: ndcg_at_1
+      value: 9.0
+    - type: ndcg_at_10
+      value: 13.001
+    - type: ndcg_at_100
+      value: 17.784
+    - type: ndcg_at_1000
+      value: 21.695
+    - type: ndcg_at_3
+      value: 10.63
+    - type: ndcg_at_5
+      value: 11.693000000000001
+    - type: precision_at_1
+      value: 9.0
+    - type: precision_at_10
+      value: 2.0
+    - type: precision_at_100
+      value: 0.46299999999999997
+    - type: precision_at_1000
+      value: 0.083
+    - type: precision_at_3
+      value: 4.222
+    - type: precision_at_5
+      value: 3.1329999999999996
+    - type: recall_at_1
+      value: 8.833
+    - type: recall_at_10
+      value: 18.0
+    - type: recall_at_100
+      value: 41.211
+    - type: recall_at_1000
+      value: 73.14399999999999
+    - type: recall_at_3
+      value: 11.5
+    - type: recall_at_5
+      value: 14.083000000000002
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.44455445544554
+    - type: cos_sim_ap
+      value: 68.76115592640271
+    - type: cos_sim_f1
+      value: 67.29805013927577
+    - type: cos_sim_precision
+      value: 75.9748427672956
+    - type: cos_sim_recall
+      value: 60.4
+    - type: dot_accuracy
+      value: 99.44455445544554
+    - type: dot_ap
+      value: 68.76115778951738
+    - type: dot_f1
+      value: 67.29805013927577
+    - type: dot_precision
+      value: 75.9748427672956
+    - type: dot_recall
+      value: 60.4
+    - type: euclidean_accuracy
+      value: 99.44455445544554
+    - type: euclidean_ap
+      value: 68.76115530286063
+    - type: euclidean_f1
+      value: 67.29805013927577
+    - type: euclidean_precision
+      value: 75.9748427672956
+    - type: euclidean_recall
+      value: 60.4
+    - type: manhattan_accuracy
+      value: 99.44653465346535
+    - type: manhattan_ap
+      value: 68.76446446842253
+    - type: manhattan_f1
+      value: 67.34926052332196
+    - type: manhattan_precision
+      value: 78.10026385224275
+    - type: manhattan_recall
+      value: 59.199999999999996
+    - type: max_accuracy
+      value: 99.44653465346535
+    - type: max_ap
+      value: 68.76446446842253
+    - type: max_f1
+      value: 67.34926052332196
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 28.486032726226675
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 29.654061810103283
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 39.81455140801657
+    - type: mrr
+      value: 40.09712407690349
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.05
+    - type: map_at_10
+      value: 0.191
+    - type: map_at_100
+      value: 0.346
+    - type: map_at_1000
+      value: 0.553
+    - type: map_at_3
+      value: 0.11299999999999999
+    - type: map_at_5
+      value: 0.148
+    - type: mrr_at_1
+      value: 22.0
+    - type: mrr_at_10
+      value: 30.091
+    - type: mrr_at_100
+      value: 31.241999999999997
+    - type: mrr_at_1000
+      value: 31.298
+    - type: mrr_at_3
+      value: 28.000000000000004
+    - type: mrr_at_5
+      value: 28.999999999999996
+    - type: ndcg_at_1
+      value: 18.0
+    - type: ndcg_at_10
+      value: 12.501000000000001
+    - type: ndcg_at_100
+      value: 5.605
+    - type: ndcg_at_1000
+      value: 4.543
+    - type: ndcg_at_3
+      value: 17.531
+    - type: ndcg_at_5
+      value: 15.254999999999999
+    - type: precision_at_1
+      value: 22.0
+    - type: precision_at_10
+      value: 12.6
+    - type: precision_at_100
+      value: 5.06
+    - type: precision_at_1000
+      value: 2.028
+    - type: precision_at_3
+      value: 20.666999999999998
+    - type: precision_at_5
+      value: 16.8
+    - type: recall_at_1
+      value: 0.05
+    - type: recall_at_10
+      value: 0.267
+    - type: recall_at_100
+      value: 1.102
+    - type: recall_at_1000
+      value: 4.205
+    - type: recall_at_3
+      value: 0.134
+    - type: recall_at_5
+      value: 0.182
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.45199999999999996
+    - type: map_at_10
+      value: 1.986
+    - type: map_at_100
+      value: 3.887
+    - type: map_at_1000
+      value: 4.5809999999999995
+    - type: map_at_3
+      value: 0.9299999999999999
+    - type: map_at_5
+      value: 1.287
+    - type: mrr_at_1
+      value: 8.163
+    - type: mrr_at_10
+      value: 16.152
+    - type: mrr_at_100
+      value: 17.187
+    - type: mrr_at_1000
+      value: 17.301
+    - type: mrr_at_3
+      value: 11.224
+    - type: mrr_at_5
+      value: 12.653
+    - type: ndcg_at_1
+      value: 4.082
+    - type: ndcg_at_10
+      value: 6.687
+    - type: ndcg_at_100
+      value: 13.158
+    - type: ndcg_at_1000
+      value: 22.259
+    - type: ndcg_at_3
+      value: 5.039
+    - type: ndcg_at_5
+      value: 5.519
+    - type: precision_at_1
+      value: 8.163
+    - type: precision_at_10
+      value: 8.163
+    - type: precision_at_100
+      value: 3.51
+    - type: precision_at_1000
+      value: 0.9159999999999999
+    - type: precision_at_3
+      value: 7.483
+    - type: precision_at_5
+      value: 7.3469999999999995
+    - type: recall_at_1
+      value: 0.45199999999999996
+    - type: recall_at_10
+      value: 5.27
+    - type: recall_at_100
+      value: 20.75
+    - type: recall_at_1000
+      value: 49.236999999999995
+    - type: recall_at_3
+      value: 1.28
+    - type: recall_at_5
+      value: 2.045
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 57.08740000000001
+    - type: ap
+      value: 9.092681400063896
+    - type: f1
+      value: 43.966684273361125
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 42.314657611771366
+    - type: f1
+      value: 42.2349043058169
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 15.71319288909283
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 78.84007867914407
+    - type: cos_sim_ap
+      value: 42.2183603452187
+    - type: cos_sim_f1
+      value: 43.1781412906705
+    - type: cos_sim_precision
+      value: 32.74263904034896
+    - type: cos_sim_recall
+      value: 63.377308707124016
+    - type: dot_accuracy
+      value: 78.84007867914407
+    - type: dot_ap
+      value: 42.21836359699547
+    - type: dot_f1
+      value: 43.1781412906705
+    - type: dot_precision
+      value: 32.74263904034896
+    - type: dot_recall
+      value: 63.377308707124016
+    - type: euclidean_accuracy
+      value: 78.84007867914407
+    - type: euclidean_ap
+      value: 42.218363575958854
+    - type: euclidean_f1
+      value: 43.1781412906705
+    - type: euclidean_precision
+      value: 32.74263904034896
+    - type: euclidean_recall
+      value: 63.377308707124016
+    - type: manhattan_accuracy
+      value: 78.79239434940692
+    - type: manhattan_ap
+      value: 42.178124350579
+    - type: manhattan_f1
+      value: 43.16231513602337
+    - type: manhattan_precision
+      value: 32.99832495812395
+    - type: manhattan_recall
+      value: 62.37467018469657
+    - type: max_accuracy
+      value: 78.84007867914407
+    - type: max_ap
+      value: 42.21836359699547
+    - type: max_f1
+      value: 43.1781412906705
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.51445647533667
+    - type: cos_sim_ap
+      value: 69.65701766911302
+    - type: cos_sim_f1
+      value: 62.92060699362217
+    - type: cos_sim_precision
+      value: 60.046173219532676
+    - type: cos_sim_recall
+      value: 66.08407761010163
+    - type: dot_accuracy
+      value: 82.51445647533667
+    - type: dot_ap
+      value: 69.6569952654014
+    - type: dot_f1
+      value: 62.92060699362217
+    - type: dot_precision
+      value: 60.046173219532676
+    - type: dot_recall
+      value: 66.08407761010163
+    - type: euclidean_accuracy
+      value: 82.51445647533667
+    - type: euclidean_ap
+      value: 69.65697749857492
+    - type: euclidean_f1
+      value: 62.92060699362217
+    - type: euclidean_precision
+      value: 60.046173219532676
+    - type: euclidean_recall
+      value: 66.08407761010163
+    - type: manhattan_accuracy
+      value: 82.52221834128925
+    - type: manhattan_ap
+      value: 69.65965534790995
+    - type: manhattan_f1
+      value: 62.865817064991006
+    - type: manhattan_precision
+      value: 58.04811265401917
+    - type: manhattan_recall
+      value: 68.55558977517708
+    - type: max_accuracy
+      value: 82.52221834128925
+    - type: max_ap
+      value: 69.65965534790995
+    - type: max_f1
+      value: 62.92060699362217
+---