add readme

README.md

@@ -1,3 +1,2599 @@
 ---
-license: apache-2.0
+tags:
+- mteb
+model-index:
+- name: mlm
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 82.97014925373135
+    - type: ap
+      value: 49.6288385893607
+    - type: f1
+      value: 77.58957447993662
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 90.975425
+    - type: ap
+      value: 87.57349835900825
+    - type: f1
+      value: 90.96732416386632
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.708
+    - type: f1
+      value: 47.736228936979586
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.006
+    - type: map_at_10
+      value: 49.268
+    - type: map_at_100
+      value: 49.903999999999996
+    - type: map_at_1000
+      value: 49.909
+    - type: map_at_3
+      value: 44.334
+    - type: map_at_5
+      value: 47.374
+    - type: mrr_at_1
+      value: 32.788000000000004
+    - type: mrr_at_10
+      value: 49.707
+    - type: mrr_at_100
+      value: 50.346999999999994
+    - type: mrr_at_1000
+      value: 50.352
+    - type: mrr_at_3
+      value: 44.95
+    - type: mrr_at_5
+      value: 47.766999999999996
+    - type: ndcg_at_1
+      value: 32.006
+    - type: ndcg_at_10
+      value: 58.523
+    - type: ndcg_at_100
+      value: 61.095
+    - type: ndcg_at_1000
+      value: 61.190999999999995
+    - type: ndcg_at_3
+      value: 48.431000000000004
+    - type: ndcg_at_5
+      value: 53.94
+    - type: precision_at_1
+      value: 32.006
+    - type: precision_at_10
+      value: 8.791
+    - type: precision_at_100
+      value: 0.989
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 20.104
+    - type: precision_at_5
+      value: 14.751
+    - type: recall_at_1
+      value: 32.006
+    - type: recall_at_10
+      value: 87.909
+    - type: recall_at_100
+      value: 98.86200000000001
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 60.313
+    - type: recall_at_5
+      value: 73.75500000000001
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 47.01500173547629
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 43.52209238193538
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 64.1348784470504
+    - type: mrr
+      value: 76.93762916062083
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.8322696692348
+    - type: cos_sim_spearman
+      value: 86.53751398463592
+    - type: euclidean_pearson
+      value: 86.1435544054336
+    - type: euclidean_spearman
+      value: 86.70799979698164
+    - type: manhattan_pearson
+      value: 86.1206703865016
+    - type: manhattan_spearman
+      value: 86.47004256773585
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.1461038961039
+    - type: f1
+      value: 88.09877611214092
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 35.53021718892608
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 35.34236915611622
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.435
+    - type: map_at_10
+      value: 49.437999999999995
+    - type: map_at_100
+      value: 51.105999999999995
+    - type: map_at_1000
+      value: 51.217999999999996
+    - type: map_at_3
+      value: 44.856
+    - type: map_at_5
+      value: 47.195
+    - type: mrr_at_1
+      value: 45.78
+    - type: mrr_at_10
+      value: 56.302
+    - type: mrr_at_100
+      value: 56.974000000000004
+    - type: mrr_at_1000
+      value: 57.001999999999995
+    - type: mrr_at_3
+      value: 53.6
+    - type: mrr_at_5
+      value: 55.059999999999995
+    - type: ndcg_at_1
+      value: 44.921
+    - type: ndcg_at_10
+      value: 56.842000000000006
+    - type: ndcg_at_100
+      value: 61.586
+    - type: ndcg_at_1000
+      value: 63.039
+    - type: ndcg_at_3
+      value: 50.612
+    - type: ndcg_at_5
+      value: 53.181
+    - type: precision_at_1
+      value: 44.921
+    - type: precision_at_10
+      value: 11.245
+    - type: precision_at_100
+      value: 1.7069999999999999
+    - type: precision_at_1000
+      value: 0.216
+    - type: precision_at_3
+      value: 24.224999999999998
+    - type: precision_at_5
+      value: 17.511
+    - type: recall_at_1
+      value: 36.435
+    - type: recall_at_10
+      value: 70.998
+    - type: recall_at_100
+      value: 89.64
+    - type: recall_at_1000
+      value: 98.654
+    - type: recall_at_3
+      value: 53.034000000000006
+    - type: recall_at_5
+      value: 60.41
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.371
+    - type: map_at_10
+      value: 45.301
+    - type: map_at_100
+      value: 46.663
+    - type: map_at_1000
+      value: 46.791
+    - type: map_at_3
+      value: 41.79
+    - type: map_at_5
+      value: 43.836999999999996
+    - type: mrr_at_1
+      value: 42.611
+    - type: mrr_at_10
+      value: 51.70400000000001
+    - type: mrr_at_100
+      value: 52.342
+    - type: mrr_at_1000
+      value: 52.38
+    - type: mrr_at_3
+      value: 49.374
+    - type: mrr_at_5
+      value: 50.82
+    - type: ndcg_at_1
+      value: 42.166
+    - type: ndcg_at_10
+      value: 51.49
+    - type: ndcg_at_100
+      value: 56.005
+    - type: ndcg_at_1000
+      value: 57.748
+    - type: ndcg_at_3
+      value: 46.769
+    - type: ndcg_at_5
+      value: 49.155
+    - type: precision_at_1
+      value: 42.166
+    - type: precision_at_10
+      value: 9.841
+    - type: precision_at_100
+      value: 1.569
+    - type: precision_at_1000
+      value: 0.202
+    - type: precision_at_3
+      value: 22.803
+    - type: precision_at_5
+      value: 16.229
+    - type: recall_at_1
+      value: 33.371
+    - type: recall_at_10
+      value: 62.52799999999999
+    - type: recall_at_100
+      value: 81.269
+    - type: recall_at_1000
+      value: 91.824
+    - type: recall_at_3
+      value: 48.759
+    - type: recall_at_5
+      value: 55.519
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.421
+    - type: map_at_10
+      value: 55.985
+    - type: map_at_100
+      value: 56.989999999999995
+    - type: map_at_1000
+      value: 57.028
+    - type: map_at_3
+      value: 52.271
+    - type: map_at_5
+      value: 54.517
+    - type: mrr_at_1
+      value: 47.272999999999996
+    - type: mrr_at_10
+      value: 59.266
+    - type: mrr_at_100
+      value: 59.821999999999996
+    - type: mrr_at_1000
+      value: 59.839
+    - type: mrr_at_3
+      value: 56.677
+    - type: mrr_at_5
+      value: 58.309999999999995
+    - type: ndcg_at_1
+      value: 47.147
+    - type: ndcg_at_10
+      value: 62.596
+    - type: ndcg_at_100
+      value: 66.219
+    - type: ndcg_at_1000
+      value: 66.886
+    - type: ndcg_at_3
+      value: 56.558
+    - type: ndcg_at_5
+      value: 59.805
+    - type: precision_at_1
+      value: 47.147
+    - type: precision_at_10
+      value: 10.245
+    - type: precision_at_100
+      value: 1.302
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 25.663999999999998
+    - type: precision_at_5
+      value: 17.793
+    - type: recall_at_1
+      value: 41.421
+    - type: recall_at_10
+      value: 78.77499999999999
+    - type: recall_at_100
+      value: 93.996
+    - type: recall_at_1000
+      value: 98.60600000000001
+    - type: recall_at_3
+      value: 62.891
+    - type: recall_at_5
+      value: 70.819
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.517999999999997
+    - type: map_at_10
+      value: 37.468
+    - type: map_at_100
+      value: 38.667
+    - type: map_at_1000
+      value: 38.743
+    - type: map_at_3
+      value: 34.524
+    - type: map_at_5
+      value: 36.175000000000004
+    - type: mrr_at_1
+      value: 29.378999999999998
+    - type: mrr_at_10
+      value: 39.54
+    - type: mrr_at_100
+      value: 40.469
+    - type: mrr_at_1000
+      value: 40.522000000000006
+    - type: mrr_at_3
+      value: 36.685
+    - type: mrr_at_5
+      value: 38.324000000000005
+    - type: ndcg_at_1
+      value: 29.718
+    - type: ndcg_at_10
+      value: 43.091
+    - type: ndcg_at_100
+      value: 48.44
+    - type: ndcg_at_1000
+      value: 50.181
+    - type: ndcg_at_3
+      value: 37.34
+    - type: ndcg_at_5
+      value: 40.177
+    - type: precision_at_1
+      value: 29.718
+    - type: precision_at_10
+      value: 6.723
+    - type: precision_at_100
+      value: 0.992
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 16.083
+    - type: precision_at_5
+      value: 11.322000000000001
+    - type: recall_at_1
+      value: 27.517999999999997
+    - type: recall_at_10
+      value: 58.196999999999996
+    - type: recall_at_100
+      value: 82.07799999999999
+    - type: recall_at_1000
+      value: 94.935
+    - type: recall_at_3
+      value: 42.842
+    - type: recall_at_5
+      value: 49.58
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.621
+    - type: map_at_10
+      value: 30.175
+    - type: map_at_100
+      value: 31.496000000000002
+    - type: map_at_1000
+      value: 31.602000000000004
+    - type: map_at_3
+      value: 26.753
+    - type: map_at_5
+      value: 28.857
+    - type: mrr_at_1
+      value: 25.497999999999998
+    - type: mrr_at_10
+      value: 35.44
+    - type: mrr_at_100
+      value: 36.353
+    - type: mrr_at_1000
+      value: 36.412
+    - type: mrr_at_3
+      value: 32.275999999999996
+    - type: mrr_at_5
+      value: 34.434
+    - type: ndcg_at_1
+      value: 24.502
+    - type: ndcg_at_10
+      value: 36.423
+    - type: ndcg_at_100
+      value: 42.289
+    - type: ndcg_at_1000
+      value: 44.59
+    - type: ndcg_at_3
+      value: 30.477999999999998
+    - type: ndcg_at_5
+      value: 33.787
+    - type: precision_at_1
+      value: 24.502
+    - type: precision_at_10
+      value: 6.978
+    - type: precision_at_100
+      value: 1.139
+    - type: precision_at_1000
+      value: 0.145
+    - type: precision_at_3
+      value: 15.008
+    - type: precision_at_5
+      value: 11.468
+    - type: recall_at_1
+      value: 19.621
+    - type: recall_at_10
+      value: 50.516000000000005
+    - type: recall_at_100
+      value: 75.721
+    - type: recall_at_1000
+      value: 91.77199999999999
+    - type: recall_at_3
+      value: 34.695
+    - type: recall_at_5
+      value: 42.849
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.525
+    - type: map_at_10
+      value: 46.153
+    - type: map_at_100
+      value: 47.61
+    - type: map_at_1000
+      value: 47.715
+    - type: map_at_3
+      value: 42.397
+    - type: map_at_5
+      value: 44.487
+    - type: mrr_at_1
+      value: 42.445
+    - type: mrr_at_10
+      value: 52.174
+    - type: mrr_at_100
+      value: 52.986999999999995
+    - type: mrr_at_1000
+      value: 53.016
+    - type: mrr_at_3
+      value: 49.647000000000006
+    - type: mrr_at_5
+      value: 51.215999999999994
+    - type: ndcg_at_1
+      value: 42.156
+    - type: ndcg_at_10
+      value: 52.698
+    - type: ndcg_at_100
+      value: 58.167
+    - type: ndcg_at_1000
+      value: 59.71300000000001
+    - type: ndcg_at_3
+      value: 47.191
+    - type: ndcg_at_5
+      value: 49.745
+    - type: precision_at_1
+      value: 42.156
+    - type: precision_at_10
+      value: 9.682
+    - type: precision_at_100
+      value: 1.469
+    - type: precision_at_1000
+      value: 0.17700000000000002
+    - type: precision_at_3
+      value: 22.682
+    - type: precision_at_5
+      value: 16.035
+    - type: recall_at_1
+      value: 33.525
+    - type: recall_at_10
+      value: 66.142
+    - type: recall_at_100
+      value: 88.248
+    - type: recall_at_1000
+      value: 97.806
+    - type: recall_at_3
+      value: 50.541000000000004
+    - type: recall_at_5
+      value: 57.275
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.249000000000002
+    - type: map_at_10
+      value: 41.659
+    - type: map_at_100
+      value: 43.001
+    - type: map_at_1000
+      value: 43.094
+    - type: map_at_3
+      value: 37.607
+    - type: map_at_5
+      value: 39.662
+    - type: mrr_at_1
+      value: 36.301
+    - type: mrr_at_10
+      value: 47.482
+    - type: mrr_at_100
+      value: 48.251
+    - type: mrr_at_1000
+      value: 48.288
+    - type: mrr_at_3
+      value: 44.444
+    - type: mrr_at_5
+      value: 46.013999999999996
+    - type: ndcg_at_1
+      value: 35.616
+    - type: ndcg_at_10
+      value: 49.021
+    - type: ndcg_at_100
+      value: 54.362
+    - type: ndcg_at_1000
+      value: 55.864999999999995
+    - type: ndcg_at_3
+      value: 42.515
+    - type: ndcg_at_5
+      value: 45.053
+    - type: precision_at_1
+      value: 35.616
+    - type: precision_at_10
+      value: 9.372
+    - type: precision_at_100
+      value: 1.4120000000000001
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 21.043
+    - type: precision_at_5
+      value: 14.84
+    - type: recall_at_1
+      value: 28.249000000000002
+    - type: recall_at_10
+      value: 65.514
+    - type: recall_at_100
+      value: 87.613
+    - type: recall_at_1000
+      value: 97.03
+    - type: recall_at_3
+      value: 47.21
+    - type: recall_at_5
+      value: 54.077
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.164583333333333
+    - type: map_at_10
+      value: 40.632000000000005
+    - type: map_at_100
+      value: 41.96875
+    - type: map_at_1000
+      value: 42.07508333333333
+    - type: map_at_3
+      value: 37.18458333333333
+    - type: map_at_5
+      value: 39.13700000000001
+    - type: mrr_at_1
+      value: 35.2035
+    - type: mrr_at_10
+      value: 45.28816666666666
+    - type: mrr_at_100
+      value: 46.11466666666667
+    - type: mrr_at_1000
+      value: 46.15741666666667
+    - type: mrr_at_3
+      value: 42.62925
+    - type: mrr_at_5
+      value: 44.18141666666667
+    - type: ndcg_at_1
+      value: 34.88958333333333
+    - type: ndcg_at_10
+      value: 46.90650000000001
+    - type: ndcg_at_100
+      value: 52.135333333333335
+    - type: ndcg_at_1000
+      value: 53.89766666666668
+    - type: ndcg_at_3
+      value: 41.32075
+    - type: ndcg_at_5
+      value: 44.02083333333333
+    - type: precision_at_1
+      value: 34.88958333333333
+    - type: precision_at_10
+      value: 8.392833333333332
+    - type: precision_at_100
+      value: 1.3085833333333334
+    - type: precision_at_1000
+      value: 0.16458333333333333
+    - type: precision_at_3
+      value: 19.361166666666666
+    - type: precision_at_5
+      value: 13.808416666666668
+    - type: recall_at_1
+      value: 29.164583333333333
+    - type: recall_at_10
+      value: 60.874666666666656
+    - type: recall_at_100
+      value: 83.21008333333334
+    - type: recall_at_1000
+      value: 95.09275000000001
+    - type: recall_at_3
+      value: 45.37591666666667
+    - type: recall_at_5
+      value: 52.367666666666665
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.682000000000002
+    - type: map_at_10
+      value: 37.913000000000004
+    - type: map_at_100
+      value: 39.037
+    - type: map_at_1000
+      value: 39.123999999999995
+    - type: map_at_3
+      value: 35.398
+    - type: map_at_5
+      value: 36.906
+    - type: mrr_at_1
+      value: 32.362
+    - type: mrr_at_10
+      value: 40.92
+    - type: mrr_at_100
+      value: 41.748000000000005
+    - type: mrr_at_1000
+      value: 41.81
+    - type: mrr_at_3
+      value: 38.701
+    - type: mrr_at_5
+      value: 39.936
+    - type: ndcg_at_1
+      value: 32.208999999999996
+    - type: ndcg_at_10
+      value: 42.84
+    - type: ndcg_at_100
+      value: 47.927
+    - type: ndcg_at_1000
+      value: 50.048
+    - type: ndcg_at_3
+      value: 38.376
+    - type: ndcg_at_5
+      value: 40.661
+    - type: precision_at_1
+      value: 32.208999999999996
+    - type: precision_at_10
+      value: 6.718
+    - type: precision_at_100
+      value: 1.012
+    - type: precision_at_1000
+      value: 0.127
+    - type: precision_at_3
+      value: 16.667
+    - type: precision_at_5
+      value: 11.503
+    - type: recall_at_1
+      value: 28.682000000000002
+    - type: recall_at_10
+      value: 54.872
+    - type: recall_at_100
+      value: 77.42999999999999
+    - type: recall_at_1000
+      value: 93.054
+    - type: recall_at_3
+      value: 42.577999999999996
+    - type: recall_at_5
+      value: 48.363
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.698
+    - type: map_at_10
+      value: 28.777
+    - type: map_at_100
+      value: 30.091
+    - type: map_at_1000
+      value: 30.209999999999997
+    - type: map_at_3
+      value: 25.874000000000002
+    - type: map_at_5
+      value: 27.438000000000002
+    - type: mrr_at_1
+      value: 24.295
+    - type: mrr_at_10
+      value: 33.077
+    - type: mrr_at_100
+      value: 34.036
+    - type: mrr_at_1000
+      value: 34.1
+    - type: mrr_at_3
+      value: 30.523
+    - type: mrr_at_5
+      value: 31.891000000000002
+    - type: ndcg_at_1
+      value: 24.535
+    - type: ndcg_at_10
+      value: 34.393
+    - type: ndcg_at_100
+      value: 40.213
+    - type: ndcg_at_1000
+      value: 42.748000000000005
+    - type: ndcg_at_3
+      value: 29.316
+    - type: ndcg_at_5
+      value: 31.588
+    - type: precision_at_1
+      value: 24.535
+    - type: precision_at_10
+      value: 6.483
+    - type: precision_at_100
+      value: 1.102
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 14.201
+    - type: precision_at_5
+      value: 10.344000000000001
+    - type: recall_at_1
+      value: 19.698
+    - type: recall_at_10
+      value: 46.903
+    - type: recall_at_100
+      value: 72.624
+    - type: recall_at_1000
+      value: 90.339
+    - type: recall_at_3
+      value: 32.482
+    - type: recall_at_5
+      value: 38.452
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.56
+    - type: map_at_10
+      value: 41.993
+    - type: map_at_100
+      value: 43.317
+    - type: map_at_1000
+      value: 43.399
+    - type: map_at_3
+      value: 38.415
+    - type: map_at_5
+      value: 40.472
+    - type: mrr_at_1
+      value: 36.474000000000004
+    - type: mrr_at_10
+      value: 46.562
+    - type: mrr_at_100
+      value: 47.497
+    - type: mrr_at_1000
+      value: 47.532999999999994
+    - type: mrr_at_3
+      value: 43.905
+    - type: mrr_at_5
+      value: 45.379000000000005
+    - type: ndcg_at_1
+      value: 36.287000000000006
+    - type: ndcg_at_10
+      value: 48.262
+    - type: ndcg_at_100
+      value: 53.789
+    - type: ndcg_at_1000
+      value: 55.44
+    - type: ndcg_at_3
+      value: 42.358000000000004
+    - type: ndcg_at_5
+      value: 45.221000000000004
+    - type: precision_at_1
+      value: 36.287000000000006
+    - type: precision_at_10
+      value: 8.265
+    - type: precision_at_100
+      value: 1.24
+    - type: precision_at_1000
+      value: 0.148
+    - type: precision_at_3
+      value: 19.558
+    - type: precision_at_5
+      value: 13.880999999999998
+    - type: recall_at_1
+      value: 30.56
+    - type: recall_at_10
+      value: 62.891
+    - type: recall_at_100
+      value: 85.964
+    - type: recall_at_1000
+      value: 97.087
+    - type: recall_at_3
+      value: 46.755
+    - type: recall_at_5
+      value: 53.986000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.432000000000002
+    - type: map_at_10
+      value: 40.898
+    - type: map_at_100
+      value: 42.794
+    - type: map_at_1000
+      value: 43.029
+    - type: map_at_3
+      value: 37.658
+    - type: map_at_5
+      value: 39.519
+    - type: mrr_at_1
+      value: 36.364000000000004
+    - type: mrr_at_10
+      value: 46.9
+    - type: mrr_at_100
+      value: 47.819
+    - type: mrr_at_1000
+      value: 47.848
+    - type: mrr_at_3
+      value: 44.202999999999996
+    - type: mrr_at_5
+      value: 45.715
+    - type: ndcg_at_1
+      value: 35.573
+    - type: ndcg_at_10
+      value: 47.628
+    - type: ndcg_at_100
+      value: 53.88699999999999
+    - type: ndcg_at_1000
+      value: 55.584
+    - type: ndcg_at_3
+      value: 42.669000000000004
+    - type: ndcg_at_5
+      value: 45.036
+    - type: precision_at_1
+      value: 35.573
+    - type: precision_at_10
+      value: 8.933
+    - type: precision_at_100
+      value: 1.8159999999999998
+    - type: precision_at_1000
+      value: 0.256
+    - type: precision_at_3
+      value: 20.29
+    - type: precision_at_5
+      value: 14.387
+    - type: recall_at_1
+      value: 29.432000000000002
+    - type: recall_at_10
+      value: 60.388
+    - type: recall_at_100
+      value: 87.144
+    - type: recall_at_1000
+      value: 97.154
+    - type: recall_at_3
+      value: 45.675
+    - type: recall_at_5
+      value: 52.35300000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.462999999999997
+    - type: map_at_10
+      value: 31.824
+    - type: map_at_100
+      value: 32.853
+    - type: map_at_1000
+      value: 32.948
+    - type: map_at_3
+      value: 28.671999999999997
+    - type: map_at_5
+      value: 30.579
+    - type: mrr_at_1
+      value: 23.66
+    - type: mrr_at_10
+      value: 34.091
+    - type: mrr_at_100
+      value: 35.077999999999996
+    - type: mrr_at_1000
+      value: 35.138999999999996
+    - type: mrr_at_3
+      value: 31.516
+    - type: mrr_at_5
+      value: 33.078
+    - type: ndcg_at_1
+      value: 23.845
+    - type: ndcg_at_10
+      value: 37.594
+    - type: ndcg_at_100
+      value: 42.74
+    - type: ndcg_at_1000
+      value: 44.93
+    - type: ndcg_at_3
+      value: 31.667
+    - type: ndcg_at_5
+      value: 34.841
+    - type: precision_at_1
+      value: 23.845
+    - type: precision_at_10
+      value: 6.229
+    - type: precision_at_100
+      value: 0.943
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 14.11
+    - type: precision_at_5
+      value: 10.388
+    - type: recall_at_1
+      value: 21.462999999999997
+    - type: recall_at_10
+      value: 52.772
+    - type: recall_at_100
+      value: 76.794
+    - type: recall_at_1000
+      value: 92.852
+    - type: recall_at_3
+      value: 37.049
+    - type: recall_at_5
+      value: 44.729
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.466
+    - type: map_at_10
+      value: 25.275
+    - type: map_at_100
+      value: 27.176000000000002
+    - type: map_at_1000
+      value: 27.374
+    - type: map_at_3
+      value: 21.438
+    - type: map_at_5
+      value: 23.366
+    - type: mrr_at_1
+      value: 35.699999999999996
+    - type: mrr_at_10
+      value: 47.238
+    - type: mrr_at_100
+      value: 47.99
+    - type: mrr_at_1000
+      value: 48.021
+    - type: mrr_at_3
+      value: 44.463
+    - type: mrr_at_5
+      value: 46.039
+    - type: ndcg_at_1
+      value: 35.244
+    - type: ndcg_at_10
+      value: 34.559
+    - type: ndcg_at_100
+      value: 41.74
+    - type: ndcg_at_1000
+      value: 45.105000000000004
+    - type: ndcg_at_3
+      value: 29.284
+    - type: ndcg_at_5
+      value: 30.903999999999996
+    - type: precision_at_1
+      value: 35.244
+    - type: precision_at_10
+      value: 10.463000000000001
+    - type: precision_at_100
+      value: 1.8259999999999998
+    - type: precision_at_1000
+      value: 0.246
+    - type: precision_at_3
+      value: 21.65
+    - type: precision_at_5
+      value: 16.078
+    - type: recall_at_1
+      value: 15.466
+    - type: recall_at_10
+      value: 39.782000000000004
+    - type: recall_at_100
+      value: 64.622
+    - type: recall_at_1000
+      value: 83.233
+    - type: recall_at_3
+      value: 26.398
+    - type: recall_at_5
+      value: 31.676
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.414
+    - type: map_at_10
+      value: 22.435
+    - type: map_at_100
+      value: 32.393
+    - type: map_at_1000
+      value: 34.454
+    - type: map_at_3
+      value: 15.346000000000002
+    - type: map_at_5
+      value: 18.282999999999998
+    - type: mrr_at_1
+      value: 71.5
+    - type: mrr_at_10
+      value: 78.795
+    - type: mrr_at_100
+      value: 79.046
+    - type: mrr_at_1000
+      value: 79.054
+    - type: mrr_at_3
+      value: 77.333
+    - type: mrr_at_5
+      value: 78.146
+    - type: ndcg_at_1
+      value: 60.75000000000001
+    - type: ndcg_at_10
+      value: 46.829
+    - type: ndcg_at_100
+      value: 52.370000000000005
+    - type: ndcg_at_1000
+      value: 59.943999999999996
+    - type: ndcg_at_3
+      value: 51.33
+    - type: ndcg_at_5
+      value: 48.814
+    - type: precision_at_1
+      value: 71.75
+    - type: precision_at_10
+      value: 37.525
+    - type: precision_at_100
+      value: 12.075
+    - type: precision_at_1000
+      value: 2.464
+    - type: precision_at_3
+      value: 54.75
+    - type: precision_at_5
+      value: 47.55
+    - type: recall_at_1
+      value: 9.414
+    - type: recall_at_10
+      value: 28.67
+    - type: recall_at_100
+      value: 59.924
+    - type: recall_at_1000
+      value: 83.921
+    - type: recall_at_3
+      value: 16.985
+    - type: recall_at_5
+      value: 21.372
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 52.18000000000001
+    - type: f1
+      value: 47.04613218997081
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 82.57900000000001
+    - type: map_at_10
+      value: 88.465
+    - type: map_at_100
+      value: 88.649
+    - type: map_at_1000
+      value: 88.661
+    - type: map_at_3
+      value: 87.709
+    - type: map_at_5
+      value: 88.191
+    - type: mrr_at_1
+      value: 88.899
+    - type: mrr_at_10
+      value: 93.35900000000001
+    - type: mrr_at_100
+      value: 93.38499999999999
+    - type: mrr_at_1000
+      value: 93.38499999999999
+    - type: mrr_at_3
+      value: 93.012
+    - type: mrr_at_5
+      value: 93.282
+    - type: ndcg_at_1
+      value: 88.98899999999999
+    - type: ndcg_at_10
+      value: 91.22
+    - type: ndcg_at_100
+      value: 91.806
+    - type: ndcg_at_1000
+      value: 92.013
+    - type: ndcg_at_3
+      value: 90.236
+    - type: ndcg_at_5
+      value: 90.798
+    - type: precision_at_1
+      value: 88.98899999999999
+    - type: precision_at_10
+      value: 10.537
+    - type: precision_at_100
+      value: 1.106
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 33.598
+    - type: precision_at_5
+      value: 20.618
+    - type: recall_at_1
+      value: 82.57900000000001
+    - type: recall_at_10
+      value: 94.95400000000001
+    - type: recall_at_100
+      value: 97.14
+    - type: recall_at_1000
+      value: 98.407
+    - type: recall_at_3
+      value: 92.203
+    - type: recall_at_5
+      value: 93.747
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.871000000000002
+    - type: map_at_10
+      value: 46.131
+    - type: map_at_100
+      value: 48.245
+    - type: map_at_1000
+      value: 48.361
+    - type: map_at_3
+      value: 40.03
+    - type: map_at_5
+      value: 43.634
+    - type: mrr_at_1
+      value: 52.932
+    - type: mrr_at_10
+      value: 61.61299999999999
+    - type: mrr_at_100
+      value: 62.205
+    - type: mrr_at_1000
+      value: 62.224999999999994
+    - type: mrr_at_3
+      value: 59.388
+    - type: mrr_at_5
+      value: 60.760999999999996
+    - type: ndcg_at_1
+      value: 53.395
+    - type: ndcg_at_10
+      value: 54.506
+    - type: ndcg_at_100
+      value: 61.151999999999994
+    - type: ndcg_at_1000
+      value: 62.882000000000005
+    - type: ndcg_at_3
+      value: 49.903999999999996
+    - type: ndcg_at_5
+      value: 51.599
+    - type: precision_at_1
+      value: 53.395
+    - type: precision_at_10
+      value: 15.247
+    - type: precision_at_100
+      value: 2.221
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 33.539
+    - type: precision_at_5
+      value: 24.722
+    - type: recall_at_1
+      value: 27.871000000000002
+    - type: recall_at_10
+      value: 62.074
+    - type: recall_at_100
+      value: 86.531
+    - type: recall_at_1000
+      value: 96.574
+    - type: recall_at_3
+      value: 45.003
+    - type: recall_at_5
+      value: 53.00899999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.513
+    - type: map_at_10
+      value: 69.066
+    - type: map_at_100
+      value: 69.903
+    - type: map_at_1000
+      value: 69.949
+    - type: map_at_3
+      value: 65.44200000000001
+    - type: map_at_5
+      value: 67.784
+    - type: mrr_at_1
+      value: 80.891
+    - type: mrr_at_10
+      value: 86.42699999999999
+    - type: mrr_at_100
+      value: 86.577
+    - type: mrr_at_1000
+      value: 86.58200000000001
+    - type: mrr_at_3
+      value: 85.6
+    - type: mrr_at_5
+      value: 86.114
+    - type: ndcg_at_1
+      value: 81.026
+    - type: ndcg_at_10
+      value: 76.412
+    - type: ndcg_at_100
+      value: 79.16
+    - type: ndcg_at_1000
+      value: 79.989
+    - type: ndcg_at_3
+      value: 71.45
+    - type: ndcg_at_5
+      value: 74.286
+    - type: precision_at_1
+      value: 81.026
+    - type: precision_at_10
+      value: 16.198999999999998
+    - type: precision_at_100
+      value: 1.831
+    - type: precision_at_1000
+      value: 0.194
+    - type: precision_at_3
+      value: 46.721000000000004
+    - type: precision_at_5
+      value: 30.266
+    - type: recall_at_1
+      value: 40.513
+    - type: recall_at_10
+      value: 80.99300000000001
+    - type: recall_at_100
+      value: 91.526
+    - type: recall_at_1000
+      value: 96.935
+    - type: recall_at_3
+      value: 70.081
+    - type: recall_at_5
+      value: 75.665
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 87.42320000000001
+    - type: ap
+      value: 83.59975323233843
+    - type: f1
+      value: 87.38669942597816
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.676
+    - type: map_at_10
+      value: 35.865
+    - type: map_at_100
+      value: 37.019000000000005
+    - type: map_at_1000
+      value: 37.062
+    - type: map_at_3
+      value: 31.629
+    - type: map_at_5
+      value: 34.050999999999995
+    - type: mrr_at_1
+      value: 23.023
+    - type: mrr_at_10
+      value: 36.138999999999996
+    - type: mrr_at_100
+      value: 37.242
+    - type: mrr_at_1000
+      value: 37.28
+    - type: mrr_at_3
+      value: 32.053
+    - type: mrr_at_5
+      value: 34.383
+    - type: ndcg_at_1
+      value: 23.308999999999997
+    - type: ndcg_at_10
+      value: 43.254
+    - type: ndcg_at_100
+      value: 48.763
+    - type: ndcg_at_1000
+      value: 49.788
+    - type: ndcg_at_3
+      value: 34.688
+    - type: ndcg_at_5
+      value: 38.973
+    - type: precision_at_1
+      value: 23.308999999999997
+    - type: precision_at_10
+      value: 6.909999999999999
+    - type: precision_at_100
+      value: 0.967
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 14.818999999999999
+    - type: precision_at_5
+      value: 11.072
+    - type: recall_at_1
+      value: 22.676
+    - type: recall_at_10
+      value: 66.077
+    - type: recall_at_100
+      value: 91.4
+    - type: recall_at_1000
+      value: 99.143
+    - type: recall_at_3
+      value: 42.845
+    - type: recall_at_5
+      value: 53.08500000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 96.16279069767444
+    - type: f1
+      value: 96.02183835878418
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 85.74783401732788
+    - type: f1
+      value: 70.59661579230463
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.67047747141895
+    - type: f1
+      value: 77.06311183471965
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 82.82447881640887
+    - type: f1
+      value: 82.37598020010746
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.266131881264467
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 29.673653452453998
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.91846122902102
+    - type: mrr
+      value: 34.2557300204471
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.762
+    - type: map_at_10
+      value: 15.134
+    - type: map_at_100
+      value: 19.341
+    - type: map_at_1000
+      value: 20.961
+    - type: map_at_3
+      value: 10.735999999999999
+    - type: map_at_5
+      value: 12.751999999999999
+    - type: mrr_at_1
+      value: 52.941
+    - type: mrr_at_10
+      value: 60.766
+    - type: mrr_at_100
+      value: 61.196
+    - type: mrr_at_1000
+      value: 61.227
+    - type: mrr_at_3
+      value: 58.720000000000006
+    - type: mrr_at_5
+      value: 59.866
+    - type: ndcg_at_1
+      value: 50.929
+    - type: ndcg_at_10
+      value: 39.554
+    - type: ndcg_at_100
+      value: 36.307
+    - type: ndcg_at_1000
+      value: 44.743
+    - type: ndcg_at_3
+      value: 44.157000000000004
+    - type: ndcg_at_5
+      value: 42.142
+    - type: precision_at_1
+      value: 52.322
+    - type: precision_at_10
+      value: 29.412
+    - type: precision_at_100
+      value: 9.365
+    - type: precision_at_1000
+      value: 2.2159999999999997
+    - type: precision_at_3
+      value: 40.557
+    - type: precision_at_5
+      value: 35.913000000000004
+    - type: recall_at_1
+      value: 6.762
+    - type: recall_at_10
+      value: 19.689999999999998
+    - type: recall_at_100
+      value: 36.687
+    - type: recall_at_1000
+      value: 67.23
+    - type: recall_at_3
+      value: 11.773
+    - type: recall_at_5
+      value: 15.18
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.612
+    - type: map_at_10
+      value: 54.208
+    - type: map_at_100
+      value: 55.056000000000004
+    - type: map_at_1000
+      value: 55.069
+    - type: map_at_3
+      value: 49.45
+    - type: map_at_5
+      value: 52.556000000000004
+    - type: mrr_at_1
+      value: 41.976
+    - type: mrr_at_10
+      value: 56.972
+    - type: mrr_at_100
+      value: 57.534
+    - type: mrr_at_1000
+      value: 57.542
+    - type: mrr_at_3
+      value: 53.312000000000005
+    - type: mrr_at_5
+      value: 55.672999999999995
+    - type: ndcg_at_1
+      value: 41.338
+    - type: ndcg_at_10
+      value: 62.309000000000005
+    - type: ndcg_at_100
+      value: 65.557
+    - type: ndcg_at_1000
+      value: 65.809
+    - type: ndcg_at_3
+      value: 53.74100000000001
+    - type: ndcg_at_5
+      value: 58.772999999999996
+    - type: precision_at_1
+      value: 41.338
+    - type: precision_at_10
+      value: 10.107
+    - type: precision_at_100
+      value: 1.1900000000000002
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 24.488
+    - type: precision_at_5
+      value: 17.596
+    - type: recall_at_1
+      value: 36.612
+    - type: recall_at_10
+      value: 84.408
+    - type: recall_at_100
+      value: 97.929
+    - type: recall_at_1000
+      value: 99.725
+    - type: recall_at_3
+      value: 62.676
+    - type: recall_at_5
+      value: 74.24199999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.573
+    - type: map_at_10
+      value: 85.81
+    - type: map_at_100
+      value: 86.434
+    - type: map_at_1000
+      value: 86.446
+    - type: map_at_3
+      value: 82.884
+    - type: map_at_5
+      value: 84.772
+    - type: mrr_at_1
+      value: 82.53
+    - type: mrr_at_10
+      value: 88.51299999999999
+    - type: mrr_at_100
+      value: 88.59700000000001
+    - type: mrr_at_1000
+      value: 88.598
+    - type: mrr_at_3
+      value: 87.595
+    - type: mrr_at_5
+      value: 88.266
+    - type: ndcg_at_1
+      value: 82.39999999999999
+    - type: ndcg_at_10
+      value: 89.337
+    - type: ndcg_at_100
+      value: 90.436
+    - type: ndcg_at_1000
+      value: 90.498
+    - type: ndcg_at_3
+      value: 86.676
+    - type: ndcg_at_5
+      value: 88.241
+    - type: precision_at_1
+      value: 82.39999999999999
+    - type: precision_at_10
+      value: 13.58
+    - type: precision_at_100
+      value: 1.543
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 38.04
+    - type: precision_at_5
+      value: 25.044
+    - type: recall_at_1
+      value: 71.573
+    - type: recall_at_10
+      value: 96.066
+    - type: recall_at_100
+      value: 99.73100000000001
+    - type: recall_at_1000
+      value: 99.991
+    - type: recall_at_3
+      value: 88.34
+    - type: recall_at_5
+      value: 92.79899999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 61.767168063971724
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 66.00502775826037
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.718
+    - type: map_at_10
+      value: 12.13
+    - type: map_at_100
+      value: 14.269000000000002
+    - type: map_at_1000
+      value: 14.578
+    - type: map_at_3
+      value: 8.605
+    - type: map_at_5
+      value: 10.483
+    - type: mrr_at_1
+      value: 23.7
+    - type: mrr_at_10
+      value: 34.354
+    - type: mrr_at_100
+      value: 35.522
+    - type: mrr_at_1000
+      value: 35.571999999999996
+    - type: mrr_at_3
+      value: 31.15
+    - type: mrr_at_5
+      value: 32.98
+    - type: ndcg_at_1
+      value: 23.3
+    - type: ndcg_at_10
+      value: 20.171
+    - type: ndcg_at_100
+      value: 28.456
+    - type: ndcg_at_1000
+      value: 33.826
+    - type: ndcg_at_3
+      value: 19.104
+    - type: ndcg_at_5
+      value: 16.977999999999998
+    - type: precision_at_1
+      value: 23.3
+    - type: precision_at_10
+      value: 10.45
+    - type: precision_at_100
+      value: 2.239
+    - type: precision_at_1000
+      value: 0.35300000000000004
+    - type: precision_at_3
+      value: 17.933
+    - type: precision_at_5
+      value: 15.1
+    - type: recall_at_1
+      value: 4.718
+    - type: recall_at_10
+      value: 21.221999999999998
+    - type: recall_at_100
+      value: 45.42
+    - type: recall_at_1000
+      value: 71.642
+    - type: recall_at_3
+      value: 10.922
+    - type: recall_at_5
+      value: 15.322
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.2065344862739
+    - type: cos_sim_spearman
+      value: 83.2276569587515
+    - type: euclidean_pearson
+      value: 83.42726762105312
+    - type: euclidean_spearman
+      value: 83.31396596997742
+    - type: manhattan_pearson
+      value: 83.41123401762816
+    - type: manhattan_spearman
+      value: 83.34393052682026
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.28253173719754
+    - type: cos_sim_spearman
+      value: 76.12995701324436
+    - type: euclidean_pearson
+      value: 75.30693691794121
+    - type: euclidean_spearman
+      value: 75.12472789129536
+    - type: manhattan_pearson
+      value: 75.35860808729171
+    - type: manhattan_spearman
+      value: 75.30445827952794
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.09358031005694
+    - type: cos_sim_spearman
+      value: 83.18811147636619
+    - type: euclidean_pearson
+      value: 82.65513459991631
+    - type: euclidean_spearman
+      value: 82.71085530442987
+    - type: manhattan_pearson
+      value: 82.67700926821576
+    - type: manhattan_spearman
+      value: 82.73815539380426
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.51365440223137
+    - type: cos_sim_spearman
+      value: 80.59933905019179
+    - type: euclidean_pearson
+      value: 80.56660025433806
+    - type: euclidean_spearman
+      value: 80.27926539084027
+    - type: manhattan_pearson
+      value: 80.64632724055481
+    - type: manhattan_spearman
+      value: 80.43616365139444
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.8590461417506
+    - type: cos_sim_spearman
+      value: 87.16337291721602
+    - type: euclidean_pearson
+      value: 85.8847725068404
+    - type: euclidean_spearman
+      value: 86.12602873624066
+    - type: manhattan_pearson
+      value: 86.04095861363909
+    - type: manhattan_spearman
+      value: 86.35535645007629
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.61371557181502
+    - type: cos_sim_spearman
+      value: 85.16330754442785
+    - type: euclidean_pearson
+      value: 84.20831431260608
+    - type: euclidean_spearman
+      value: 84.33191523212125
+    - type: manhattan_pearson
+      value: 84.34911007642411
+    - type: manhattan_spearman
+      value: 84.49670164290394
+  - 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: 90.54452933158781
+    - type: cos_sim_spearman
+      value: 90.88214621695892
+    - type: euclidean_pearson
+      value: 91.38488015281216
+    - type: euclidean_spearman
+      value: 91.01822259603908
+    - type: manhattan_pearson
+      value: 91.36449776198687
+    - type: manhattan_spearman
+      value: 90.90478717381717
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.00941643037453
+    - type: cos_sim_spearman
+      value: 67.03588472081898
+    - type: euclidean_pearson
+      value: 67.35224911601603
+    - type: euclidean_spearman
+      value: 66.35544831459266
+    - type: manhattan_pearson
+      value: 67.35080066508304
+    - type: manhattan_spearman
+      value: 66.07893473733782
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.18291011086279
+    - type: cos_sim_spearman
+      value: 85.66913777481429
+    - type: euclidean_pearson
+      value: 84.81115930027242
+    - type: euclidean_spearman
+      value: 85.07133983924173
+    - type: manhattan_pearson
+      value: 84.88932120524983
+    - type: manhattan_spearman
+      value: 85.176903109055
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 83.67543572266588
+    - type: mrr
+      value: 95.9468146232852
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 59.633
+    - type: map_at_10
+      value: 69.801
+    - type: map_at_100
+      value: 70.504
+    - type: map_at_1000
+      value: 70.519
+    - type: map_at_3
+      value: 67.72500000000001
+    - type: map_at_5
+      value: 68.812
+    - type: mrr_at_1
+      value: 62.333000000000006
+    - type: mrr_at_10
+      value: 70.956
+    - type: mrr_at_100
+      value: 71.489
+    - type: mrr_at_1000
+      value: 71.504
+    - type: mrr_at_3
+      value: 69.44399999999999
+    - type: mrr_at_5
+      value: 70.244
+    - type: ndcg_at_1
+      value: 62.0
+    - type: ndcg_at_10
+      value: 73.98599999999999
+    - type: ndcg_at_100
+      value: 76.629
+    - type: ndcg_at_1000
+      value: 77.054
+    - type: ndcg_at_3
+      value: 70.513
+    - type: ndcg_at_5
+      value: 71.978
+    - type: precision_at_1
+      value: 62.0
+    - type: precision_at_10
+      value: 9.633
+    - type: precision_at_100
+      value: 1.097
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 27.556000000000004
+    - type: precision_at_5
+      value: 17.666999999999998
+    - type: recall_at_1
+      value: 59.633
+    - type: recall_at_10
+      value: 85.52199999999999
+    - type: recall_at_100
+      value: 96.667
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 75.767
+    - type: recall_at_5
+      value: 79.76100000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.77821782178218
+    - type: cos_sim_ap
+      value: 94.58684455008866
+    - type: cos_sim_f1
+      value: 88.51282051282053
+    - type: cos_sim_precision
+      value: 90.84210526315789
+    - type: cos_sim_recall
+      value: 86.3
+    - type: dot_accuracy
+      value: 99.77623762376237
+    - type: dot_ap
+      value: 94.86277541733045
+    - type: dot_f1
+      value: 88.66897575457693
+    - type: dot_precision
+      value: 87.75710088148874
+    - type: dot_recall
+      value: 89.60000000000001
+    - type: euclidean_accuracy
+      value: 99.76732673267327
+    - type: euclidean_ap
+      value: 94.12114402691984
+    - type: euclidean_f1
+      value: 87.96804792810784
+    - type: euclidean_precision
+      value: 87.83649052841476
+    - type: euclidean_recall
+      value: 88.1
+    - type: manhattan_accuracy
+      value: 99.77227722772277
+    - type: manhattan_ap
+      value: 94.33665105240306
+    - type: manhattan_f1
+      value: 88.25587206396803
+    - type: manhattan_precision
+      value: 88.21178821178822
+    - type: manhattan_recall
+      value: 88.3
+    - type: max_accuracy
+      value: 99.77821782178218
+    - type: max_ap
+      value: 94.86277541733045
+    - type: max_f1
+      value: 88.66897575457693
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 72.03943478268592
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.285037897356496
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 51.83578447913503
+    - type: mrr
+      value: 52.69070696460402
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.89437612567638
+    - type: cos_sim_spearman
+      value: 30.7277819987126
+    - type: dot_pearson
+      value: 30.999783674122526
+    - type: dot_spearman
+      value: 30.992168551124905
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.22699999999999998
+    - type: map_at_10
+      value: 1.8950000000000002
+    - type: map_at_100
+      value: 11.712
+    - type: map_at_1000
+      value: 28.713
+    - type: map_at_3
+      value: 0.65
+    - type: map_at_5
+      value: 1.011
+    - type: mrr_at_1
+      value: 92.0
+    - type: mrr_at_10
+      value: 95.39999999999999
+    - type: mrr_at_100
+      value: 95.39999999999999
+    - type: mrr_at_1000
+      value: 95.39999999999999
+    - type: mrr_at_3
+      value: 95.0
+    - type: mrr_at_5
+      value: 95.39999999999999
+    - type: ndcg_at_1
+      value: 83.0
+    - type: ndcg_at_10
+      value: 76.658
+    - type: ndcg_at_100
+      value: 60.755
+    - type: ndcg_at_1000
+      value: 55.05
+    - type: ndcg_at_3
+      value: 82.961
+    - type: ndcg_at_5
+      value: 80.008
+    - type: precision_at_1
+      value: 90.0
+    - type: precision_at_10
+      value: 79.80000000000001
+    - type: precision_at_100
+      value: 62.019999999999996
+    - type: precision_at_1000
+      value: 24.157999999999998
+    - type: precision_at_3
+      value: 88.0
+    - type: precision_at_5
+      value: 83.6
+    - type: recall_at_1
+      value: 0.22699999999999998
+    - type: recall_at_10
+      value: 2.086
+    - type: recall_at_100
+      value: 15.262
+    - type: recall_at_1000
+      value: 51.800000000000004
+    - type: recall_at_3
+      value: 0.679
+    - type: recall_at_5
+      value: 1.0739999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.521
+    - type: map_at_10
+      value: 7.281
+    - type: map_at_100
+      value: 12.717
+    - type: map_at_1000
+      value: 14.266000000000002
+    - type: map_at_3
+      value: 3.62
+    - type: map_at_5
+      value: 4.7010000000000005
+    - type: mrr_at_1
+      value: 18.367
+    - type: mrr_at_10
+      value: 34.906
+    - type: mrr_at_100
+      value: 36.333
+    - type: mrr_at_1000
+      value: 36.348
+    - type: mrr_at_3
+      value: 29.592000000000002
+    - type: mrr_at_5
+      value: 33.367000000000004
+    - type: ndcg_at_1
+      value: 19.387999999999998
+    - type: ndcg_at_10
+      value: 18.523
+    - type: ndcg_at_100
+      value: 30.932
+    - type: ndcg_at_1000
+      value: 42.942
+    - type: ndcg_at_3
+      value: 18.901
+    - type: ndcg_at_5
+      value: 17.974999999999998
+    - type: precision_at_1
+      value: 20.408
+    - type: precision_at_10
+      value: 17.347
+    - type: precision_at_100
+      value: 6.898
+    - type: precision_at_1000
+      value: 1.482
+    - type: precision_at_3
+      value: 21.088
+    - type: precision_at_5
+      value: 19.184
+    - type: recall_at_1
+      value: 1.521
+    - type: recall_at_10
+      value: 13.406
+    - type: recall_at_100
+      value: 43.418
+    - type: recall_at_1000
+      value: 80.247
+    - type: recall_at_3
+      value: 4.673
+    - type: recall_at_5
+      value: 7.247000000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.9084
+    - type: ap
+      value: 15.388385311898144
+    - type: f1
+      value: 55.760189174489426
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.399547255234864
+    - type: f1
+      value: 62.61398519525303
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 53.041094760846164
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.92394349406926
+    - type: cos_sim_ap
+      value: 79.93037248584875
+    - type: cos_sim_f1
+      value: 73.21063394683026
+    - type: cos_sim_precision
+      value: 70.99652949925633
+    - type: cos_sim_recall
+      value: 75.56728232189973
+    - type: dot_accuracy
+      value: 87.80473266972642
+    - type: dot_ap
+      value: 79.11055417163318
+    - type: dot_f1
+      value: 72.79587473273801
+    - type: dot_precision
+      value: 69.55058880076905
+    - type: dot_recall
+      value: 76.35883905013192
+    - type: euclidean_accuracy
+      value: 87.91202241163496
+    - type: euclidean_ap
+      value: 79.61955502404068
+    - type: euclidean_f1
+      value: 72.65956080647231
+    - type: euclidean_precision
+      value: 70.778083562672
+    - type: euclidean_recall
+      value: 74.64379947229551
+    - type: manhattan_accuracy
+      value: 87.7749299636407
+    - type: manhattan_ap
+      value: 79.33286131650932
+    - type: manhattan_f1
+      value: 72.44748412310699
+    - type: manhattan_precision
+      value: 67.43974533879036
+    - type: manhattan_recall
+      value: 78.25857519788919
+    - type: max_accuracy
+      value: 87.92394349406926
+    - type: max_ap
+      value: 79.93037248584875
+    - type: max_f1
+      value: 73.21063394683026
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.89987192921178
+    - type: cos_sim_ap
+      value: 87.49525152555509
+    - type: cos_sim_f1
+      value: 80.05039276715578
+    - type: cos_sim_precision
+      value: 77.15714285714286
+    - type: cos_sim_recall
+      value: 83.1690791499846
+    - type: dot_accuracy
+      value: 89.58163542515621
+    - type: dot_ap
+      value: 86.87353801172357
+    - type: dot_f1
+      value: 79.50204384986993
+    - type: dot_precision
+      value: 76.83522482401953
+    - type: dot_recall
+      value: 82.36064059131506
+    - type: euclidean_accuracy
+      value: 89.81255093724532
+    - type: euclidean_ap
+      value: 87.41058010369022
+    - type: euclidean_f1
+      value: 79.94095829233214
+    - type: euclidean_precision
+      value: 78.61396456751525
+    - type: euclidean_recall
+      value: 81.3135201724669
+    - type: manhattan_accuracy
+      value: 89.84553886754377
+    - type: manhattan_ap
+      value: 87.41173628281432
+    - type: manhattan_f1
+      value: 79.9051922079846
+    - type: manhattan_precision
+      value: 76.98016269444841
+    - type: manhattan_recall
+      value: 83.06128734216199
+    - type: max_accuracy
+      value: 89.89987192921178
+    - type: max_ap
+      value: 87.49525152555509
+    - type: max_f1
+      value: 80.05039276715578
 ---