init

README.md

@@ -0,0 +1,2599 @@
+---
+tags:
+- mteb
+model-index:
+- name: bert_1b3_mixlang_newstep3
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 70.11940298507463
+    - type: ap
+      value: 32.37756187516329
+    - type: f1
+      value: 63.92312669545795
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 92.950675
+    - type: ap
+      value: 89.69186819088316
+    - type: f1
+      value: 92.94108521905532
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 50.522
+    - type: f1
+      value: 48.76020527037862
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.865
+    - type: map_at_10
+      value: 26.026
+    - type: map_at_100
+      value: 27.586
+    - type: map_at_1000
+      value: 27.622999999999998
+    - type: map_at_3
+      value: 21.859
+    - type: map_at_5
+      value: 24.049
+    - type: mrr_at_1
+      value: 15.504999999999999
+    - type: mrr_at_10
+      value: 26.265
+    - type: mrr_at_100
+      value: 27.810000000000002
+    - type: mrr_at_1000
+      value: 27.847
+    - type: mrr_at_3
+      value: 22.06
+    - type: mrr_at_5
+      value: 24.247
+    - type: ndcg_at_1
+      value: 14.865
+    - type: ndcg_at_10
+      value: 32.934999999999995
+    - type: ndcg_at_100
+      value: 40.627
+    - type: ndcg_at_1000
+      value: 41.524
+    - type: ndcg_at_3
+      value: 24.153
+    - type: ndcg_at_5
+      value: 28.133999999999997
+    - type: precision_at_1
+      value: 14.865
+    - type: precision_at_10
+      value: 5.541
+    - type: precision_at_100
+      value: 0.9159999999999999
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 10.266
+    - type: precision_at_5
+      value: 8.108
+    - type: recall_at_1
+      value: 14.865
+    - type: recall_at_10
+      value: 55.405
+    - type: recall_at_100
+      value: 91.607
+    - type: recall_at_1000
+      value: 98.506
+    - type: recall_at_3
+      value: 30.797
+    - type: recall_at_5
+      value: 40.541
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 47.028296913559814
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 38.38123118365735
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 58.9616553564134
+    - type: mrr
+      value: 72.16033504814668
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.00899493452621
+    - type: cos_sim_spearman
+      value: 83.85673000958819
+    - type: euclidean_pearson
+      value: 85.65567511199598
+    - type: euclidean_spearman
+      value: 83.90311660870698
+    - type: manhattan_pearson
+      value: 85.37147829428248
+    - type: manhattan_spearman
+      value: 83.74588411039522
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.5909090909091
+    - type: f1
+      value: 74.476632049175
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 38.981180962194216
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 34.9394829907367
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.277
+    - type: map_at_10
+      value: 42.153
+    - type: map_at_100
+      value: 43.683
+    - type: map_at_1000
+      value: 43.817
+    - type: map_at_3
+      value: 38.454
+    - type: map_at_5
+      value: 40.721000000000004
+    - type: mrr_at_1
+      value: 38.913
+    - type: mrr_at_10
+      value: 48.232
+    - type: mrr_at_100
+      value: 48.888
+    - type: mrr_at_1000
+      value: 48.929
+    - type: mrr_at_3
+      value: 45.279
+    - type: mrr_at_5
+      value: 47.089
+    - type: ndcg_at_1
+      value: 38.913
+    - type: ndcg_at_10
+      value: 48.518
+    - type: ndcg_at_100
+      value: 53.797
+    - type: ndcg_at_1000
+      value: 55.754999999999995
+    - type: ndcg_at_3
+      value: 43.122
+    - type: ndcg_at_5
+      value: 45.869
+    - type: precision_at_1
+      value: 38.913
+    - type: precision_at_10
+      value: 9.413
+    - type: precision_at_100
+      value: 1.567
+    - type: precision_at_1000
+      value: 0.20600000000000002
+    - type: precision_at_3
+      value: 20.791999999999998
+    - type: precision_at_5
+      value: 15.193000000000001
+    - type: recall_at_1
+      value: 31.277
+    - type: recall_at_10
+      value: 60.475
+    - type: recall_at_100
+      value: 82.675
+    - type: recall_at_1000
+      value: 95.298
+    - type: recall_at_3
+      value: 44.388
+    - type: recall_at_5
+      value: 52.242999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.593
+    - type: map_at_10
+      value: 35.089999999999996
+    - type: map_at_100
+      value: 36.269
+    - type: map_at_1000
+      value: 36.419000000000004
+    - type: map_at_3
+      value: 32.449
+    - type: map_at_5
+      value: 33.952
+    - type: mrr_at_1
+      value: 32.484
+    - type: mrr_at_10
+      value: 40.725
+    - type: mrr_at_100
+      value: 41.465999999999994
+    - type: mrr_at_1000
+      value: 41.521
+    - type: mrr_at_3
+      value: 38.757999999999996
+    - type: mrr_at_5
+      value: 39.869
+    - type: ndcg_at_1
+      value: 32.484
+    - type: ndcg_at_10
+      value: 40.384
+    - type: ndcg_at_100
+      value: 44.984
+    - type: ndcg_at_1000
+      value: 47.528
+    - type: ndcg_at_3
+      value: 36.77
+    - type: ndcg_at_5
+      value: 38.505
+    - type: precision_at_1
+      value: 32.484
+    - type: precision_at_10
+      value: 7.866
+    - type: precision_at_100
+      value: 1.2959999999999998
+    - type: precision_at_1000
+      value: 0.185
+    - type: precision_at_3
+      value: 18.195
+    - type: precision_at_5
+      value: 13.032
+    - type: recall_at_1
+      value: 25.593
+    - type: recall_at_10
+      value: 49.289
+    - type: recall_at_100
+      value: 69.84700000000001
+    - type: recall_at_1000
+      value: 86.329
+    - type: recall_at_3
+      value: 38.51
+    - type: recall_at_5
+      value: 43.349
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 35.116
+    - type: map_at_10
+      value: 45.908
+    - type: map_at_100
+      value: 46.979
+    - type: map_at_1000
+      value: 47.046
+    - type: map_at_3
+      value: 42.724000000000004
+    - type: map_at_5
+      value: 44.507999999999996
+    - type: mrr_at_1
+      value: 40.313
+    - type: mrr_at_10
+      value: 49.195
+    - type: mrr_at_100
+      value: 49.996
+    - type: mrr_at_1000
+      value: 50.03300000000001
+    - type: mrr_at_3
+      value: 46.708
+    - type: mrr_at_5
+      value: 48.187999999999995
+    - type: ndcg_at_1
+      value: 40.313
+    - type: ndcg_at_10
+      value: 51.43600000000001
+    - type: ndcg_at_100
+      value: 55.873
+    - type: ndcg_at_1000
+      value: 57.288
+    - type: ndcg_at_3
+      value: 46.038000000000004
+    - type: ndcg_at_5
+      value: 48.729
+    - type: precision_at_1
+      value: 40.313
+    - type: precision_at_10
+      value: 8.382000000000001
+    - type: precision_at_100
+      value: 1.145
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 20.480999999999998
+    - type: precision_at_5
+      value: 14.219000000000001
+    - type: recall_at_1
+      value: 35.116
+    - type: recall_at_10
+      value: 64.524
+    - type: recall_at_100
+      value: 83.859
+    - type: recall_at_1000
+      value: 93.977
+    - type: recall_at_3
+      value: 50.102999999999994
+    - type: recall_at_5
+      value: 56.818000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.488
+    - type: map_at_10
+      value: 25.667
+    - type: map_at_100
+      value: 26.541999999999998
+    - type: map_at_1000
+      value: 26.637
+    - type: map_at_3
+      value: 23.483
+    - type: map_at_5
+      value: 24.667
+    - type: mrr_at_1
+      value: 20.0
+    - type: mrr_at_10
+      value: 27.178
+    - type: mrr_at_100
+      value: 27.989000000000004
+    - type: mrr_at_1000
+      value: 28.07
+    - type: mrr_at_3
+      value: 25.122
+    - type: mrr_at_5
+      value: 26.275
+    - type: ndcg_at_1
+      value: 20.0
+    - type: ndcg_at_10
+      value: 29.736
+    - type: ndcg_at_100
+      value: 34.358
+    - type: ndcg_at_1000
+      value: 37.036
+    - type: ndcg_at_3
+      value: 25.405
+    - type: ndcg_at_5
+      value: 27.441
+    - type: precision_at_1
+      value: 20.0
+    - type: precision_at_10
+      value: 4.712000000000001
+    - type: precision_at_100
+      value: 0.751
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 10.885
+    - type: precision_at_5
+      value: 7.706
+    - type: recall_at_1
+      value: 18.488
+    - type: recall_at_10
+      value: 40.83
+    - type: recall_at_100
+      value: 62.707
+    - type: recall_at_1000
+      value: 83.41199999999999
+    - type: recall_at_3
+      value: 29.21
+    - type: recall_at_5
+      value: 34.009
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.532
+    - type: map_at_10
+      value: 15.193000000000001
+    - type: map_at_100
+      value: 16.381
+    - type: map_at_1000
+      value: 16.524
+    - type: map_at_3
+      value: 13.386000000000001
+    - type: map_at_5
+      value: 14.261
+    - type: mrr_at_1
+      value: 11.940000000000001
+    - type: mrr_at_10
+      value: 18.285
+    - type: mrr_at_100
+      value: 19.373
+    - type: mrr_at_1000
+      value: 19.467000000000002
+    - type: mrr_at_3
+      value: 16.252
+    - type: mrr_at_5
+      value: 17.26
+    - type: ndcg_at_1
+      value: 11.940000000000001
+    - type: ndcg_at_10
+      value: 19.095000000000002
+    - type: ndcg_at_100
+      value: 25.214
+    - type: ndcg_at_1000
+      value: 28.619
+    - type: ndcg_at_3
+      value: 15.482000000000001
+    - type: ndcg_at_5
+      value: 16.892
+    - type: precision_at_1
+      value: 11.940000000000001
+    - type: precision_at_10
+      value: 3.744
+    - type: precision_at_100
+      value: 0.815
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 7.710999999999999
+    - type: precision_at_5
+      value: 5.647
+    - type: recall_at_1
+      value: 9.532
+    - type: recall_at_10
+      value: 28.026
+    - type: recall_at_100
+      value: 55.253
+    - type: recall_at_1000
+      value: 79.86999999999999
+    - type: recall_at_3
+      value: 18.084
+    - type: recall_at_5
+      value: 21.553
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.416
+    - type: map_at_10
+      value: 32.649
+    - type: map_at_100
+      value: 33.983000000000004
+    - type: map_at_1000
+      value: 34.107
+    - type: map_at_3
+      value: 29.254
+    - type: map_at_5
+      value: 31.339
+    - type: mrr_at_1
+      value: 28.778
+    - type: mrr_at_10
+      value: 37.513999999999996
+    - type: mrr_at_100
+      value: 38.458999999999996
+    - type: mrr_at_1000
+      value: 38.517
+    - type: mrr_at_3
+      value: 34.585
+    - type: mrr_at_5
+      value: 36.514
+    - type: ndcg_at_1
+      value: 28.778
+    - type: ndcg_at_10
+      value: 38.233
+    - type: ndcg_at_100
+      value: 44.14
+    - type: ndcg_at_1000
+      value: 46.583000000000006
+    - type: ndcg_at_3
+      value: 32.718
+    - type: ndcg_at_5
+      value: 35.778999999999996
+    - type: precision_at_1
+      value: 28.778
+    - type: precision_at_10
+      value: 7.2090000000000005
+    - type: precision_at_100
+      value: 1.194
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 15.495999999999999
+    - type: precision_at_5
+      value: 11.781
+    - type: recall_at_1
+      value: 23.416
+    - type: recall_at_10
+      value: 50.063
+    - type: recall_at_100
+      value: 75.4
+    - type: recall_at_1000
+      value: 91.74799999999999
+    - type: recall_at_3
+      value: 35.113
+    - type: recall_at_5
+      value: 42.620999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.891
+    - type: map_at_10
+      value: 28.000000000000004
+    - type: map_at_100
+      value: 29.354999999999997
+    - type: map_at_1000
+      value: 29.453000000000003
+    - type: map_at_3
+      value: 24.551000000000002
+    - type: map_at_5
+      value: 26.383000000000003
+    - type: mrr_at_1
+      value: 23.402
+    - type: mrr_at_10
+      value: 32.308
+    - type: mrr_at_100
+      value: 33.242
+    - type: mrr_at_1000
+      value: 33.294000000000004
+    - type: mrr_at_3
+      value: 29.262
+    - type: mrr_at_5
+      value: 30.997000000000003
+    - type: ndcg_at_1
+      value: 23.402
+    - type: ndcg_at_10
+      value: 33.932
+    - type: ndcg_at_100
+      value: 39.925
+    - type: ndcg_at_1000
+      value: 42.126999999999995
+    - type: ndcg_at_3
+      value: 27.816999999999997
+    - type: ndcg_at_5
+      value: 30.554
+    - type: precision_at_1
+      value: 23.402
+    - type: precision_at_10
+      value: 6.747
+    - type: precision_at_100
+      value: 1.147
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_3
+      value: 13.469999999999999
+    - type: precision_at_5
+      value: 10.32
+    - type: recall_at_1
+      value: 18.891
+    - type: recall_at_10
+      value: 47.58
+    - type: recall_at_100
+      value: 73.668
+    - type: recall_at_1000
+      value: 88.77000000000001
+    - type: recall_at_3
+      value: 30.726
+    - type: recall_at_5
+      value: 37.547000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.303499999999996
+    - type: map_at_10
+      value: 28.263499999999997
+    - type: map_at_100
+      value: 29.431250000000002
+    - type: map_at_1000
+      value: 29.555166666666665
+    - type: map_at_3
+      value: 25.59133333333333
+    - type: map_at_5
+      value: 27.091500000000003
+    - type: mrr_at_1
+      value: 24.19725
+    - type: mrr_at_10
+      value: 31.803750000000004
+    - type: mrr_at_100
+      value: 32.691916666666664
+    - type: mrr_at_1000
+      value: 32.760083333333334
+    - type: mrr_at_3
+      value: 29.447749999999996
+    - type: mrr_at_5
+      value: 30.79858333333334
+    - type: ndcg_at_1
+      value: 24.19725
+    - type: ndcg_at_10
+      value: 33.11925000000001
+    - type: ndcg_at_100
+      value: 38.384916666666655
+    - type: ndcg_at_1000
+      value: 40.991499999999995
+    - type: ndcg_at_3
+      value: 28.5115
+    - type: ndcg_at_5
+      value: 30.718833333333333
+    - type: precision_at_1
+      value: 24.19725
+    - type: precision_at_10
+      value: 6.061666666666666
+    - type: precision_at_100
+      value: 1.0404166666666665
+    - type: precision_at_1000
+      value: 0.14583333333333337
+    - type: precision_at_3
+      value: 13.347083333333334
+    - type: precision_at_5
+      value: 9.747916666666667
+    - type: recall_at_1
+      value: 20.303499999999996
+    - type: recall_at_10
+      value: 43.93183333333334
+    - type: recall_at_100
+      value: 67.47800000000001
+    - type: recall_at_1000
+      value: 85.91425000000001
+    - type: recall_at_3
+      value: 31.160083333333333
+    - type: recall_at_5
+      value: 36.76633333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.666
+    - type: map_at_10
+      value: 18.448999999999998
+    - type: map_at_100
+      value: 19.448
+    - type: map_at_1000
+      value: 19.54
+    - type: map_at_3
+      value: 16.581000000000003
+    - type: map_at_5
+      value: 17.485999999999997
+    - type: mrr_at_1
+      value: 14.11
+    - type: mrr_at_10
+      value: 19.796
+    - type: mrr_at_100
+      value: 20.785999999999998
+    - type: mrr_at_1000
+      value: 20.861
+    - type: mrr_at_3
+      value: 18.175
+    - type: mrr_at_5
+      value: 18.926000000000002
+    - type: ndcg_at_1
+      value: 14.11
+    - type: ndcg_at_10
+      value: 21.83
+    - type: ndcg_at_100
+      value: 27.017999999999997
+    - type: ndcg_at_1000
+      value: 29.520999999999997
+    - type: ndcg_at_3
+      value: 18.358
+    - type: ndcg_at_5
+      value: 19.719
+    - type: precision_at_1
+      value: 14.11
+    - type: precision_at_10
+      value: 3.819
+    - type: precision_at_100
+      value: 0.701
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 8.384
+    - type: precision_at_5
+      value: 5.92
+    - type: recall_at_1
+      value: 12.666
+    - type: recall_at_10
+      value: 30.746000000000002
+    - type: recall_at_100
+      value: 54.675
+    - type: recall_at_1000
+      value: 73.57900000000001
+    - type: recall_at_3
+      value: 21.196
+    - type: recall_at_5
+      value: 24.552
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.53
+    - type: map_at_10
+      value: 17.881
+    - type: map_at_100
+      value: 18.923000000000002
+    - type: map_at_1000
+      value: 19.049
+    - type: map_at_3
+      value: 16.088
+    - type: map_at_5
+      value: 17.0
+    - type: mrr_at_1
+      value: 15.244
+    - type: mrr_at_10
+      value: 20.906
+    - type: mrr_at_100
+      value: 21.83
+    - type: mrr_at_1000
+      value: 21.913
+    - type: mrr_at_3
+      value: 19.104
+    - type: mrr_at_5
+      value: 19.994999999999997
+    - type: ndcg_at_1
+      value: 15.244
+    - type: ndcg_at_10
+      value: 21.541
+    - type: ndcg_at_100
+      value: 26.799
+    - type: ndcg_at_1000
+      value: 29.927
+    - type: ndcg_at_3
+      value: 18.208
+    - type: ndcg_at_5
+      value: 19.573999999999998
+    - type: precision_at_1
+      value: 15.244
+    - type: precision_at_10
+      value: 4.04
+    - type: precision_at_100
+      value: 0.808
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 8.672
+    - type: precision_at_5
+      value: 6.283999999999999
+    - type: recall_at_1
+      value: 12.53
+    - type: recall_at_10
+      value: 29.601
+    - type: recall_at_100
+      value: 53.615
+    - type: recall_at_1000
+      value: 76.344
+    - type: recall_at_3
+      value: 20.159
+    - type: recall_at_5
+      value: 23.746000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.849
+    - type: map_at_10
+      value: 28.937
+    - type: map_at_100
+      value: 30.003999999999998
+    - type: map_at_1000
+      value: 30.122
+    - type: map_at_3
+      value: 26.150000000000002
+    - type: map_at_5
+      value: 27.744000000000003
+    - type: mrr_at_1
+      value: 25.093
+    - type: mrr_at_10
+      value: 32.143
+    - type: mrr_at_100
+      value: 33.053
+    - type: mrr_at_1000
+      value: 33.134
+    - type: mrr_at_3
+      value: 29.586000000000002
+    - type: mrr_at_5
+      value: 31.116
+    - type: ndcg_at_1
+      value: 25.093
+    - type: ndcg_at_10
+      value: 33.631
+    - type: ndcg_at_100
+      value: 38.893
+    - type: ndcg_at_1000
+      value: 41.692
+    - type: ndcg_at_3
+      value: 28.497
+    - type: ndcg_at_5
+      value: 31.028
+    - type: precision_at_1
+      value: 25.093
+    - type: precision_at_10
+      value: 5.765
+    - type: precision_at_100
+      value: 0.947
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 12.623999999999999
+    - type: precision_at_5
+      value: 9.347
+    - type: recall_at_1
+      value: 21.849
+    - type: recall_at_10
+      value: 44.767
+    - type: recall_at_100
+      value: 68.298
+    - type: recall_at_1000
+      value: 88.107
+    - type: recall_at_3
+      value: 30.968
+    - type: recall_at_5
+      value: 37.19
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.409
+    - type: map_at_10
+      value: 27.750999999999998
+    - type: map_at_100
+      value: 29.241
+    - type: map_at_1000
+      value: 29.467
+    - type: map_at_3
+      value: 24.29
+    - type: map_at_5
+      value: 26.448
+    - type: mrr_at_1
+      value: 22.53
+    - type: mrr_at_10
+      value: 31.887999999999998
+    - type: mrr_at_100
+      value: 32.89
+    - type: mrr_at_1000
+      value: 32.956
+    - type: mrr_at_3
+      value: 28.854000000000003
+    - type: mrr_at_5
+      value: 30.751
+    - type: ndcg_at_1
+      value: 22.53
+    - type: ndcg_at_10
+      value: 33.827
+    - type: ndcg_at_100
+      value: 39.749
+    - type: ndcg_at_1000
+      value: 42.677
+    - type: ndcg_at_3
+      value: 28.101
+    - type: ndcg_at_5
+      value: 31.380999999999997
+    - type: precision_at_1
+      value: 22.53
+    - type: precision_at_10
+      value: 6.976
+    - type: precision_at_100
+      value: 1.443
+    - type: precision_at_1000
+      value: 0.23700000000000002
+    - type: precision_at_3
+      value: 13.966000000000001
+    - type: precision_at_5
+      value: 10.909
+    - type: recall_at_1
+      value: 18.409
+    - type: recall_at_10
+      value: 46.217000000000006
+    - type: recall_at_100
+      value: 72.882
+    - type: recall_at_1000
+      value: 91.625
+    - type: recall_at_3
+      value: 30.64
+    - type: recall_at_5
+      value: 38.948
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.875
+    - type: map_at_10
+      value: 21.484
+    - type: map_at_100
+      value: 22.367
+    - type: map_at_1000
+      value: 22.481
+    - type: map_at_3
+      value: 19.686
+    - type: map_at_5
+      value: 20.589
+    - type: mrr_at_1
+      value: 17.560000000000002
+    - type: mrr_at_10
+      value: 23.474999999999998
+    - type: mrr_at_100
+      value: 24.331
+    - type: mrr_at_1000
+      value: 24.426000000000002
+    - type: mrr_at_3
+      value: 21.688
+    - type: mrr_at_5
+      value: 22.603
+    - type: ndcg_at_1
+      value: 17.560000000000002
+    - type: ndcg_at_10
+      value: 25.268
+    - type: ndcg_at_100
+      value: 29.869
+    - type: ndcg_at_1000
+      value: 33.145
+    - type: ndcg_at_3
+      value: 21.622
+    - type: ndcg_at_5
+      value: 23.155
+    - type: precision_at_1
+      value: 17.560000000000002
+    - type: precision_at_10
+      value: 4.067
+    - type: precision_at_100
+      value: 0.6709999999999999
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 9.489
+    - type: precision_at_5
+      value: 6.617000000000001
+    - type: recall_at_1
+      value: 15.875
+    - type: recall_at_10
+      value: 35.064
+    - type: recall_at_100
+      value: 56.857
+    - type: recall_at_1000
+      value: 81.91199999999999
+    - type: recall_at_3
+      value: 24.823999999999998
+    - type: recall_at_5
+      value: 28.62
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.637
+    - type: map_at_10
+      value: 18.401999999999997
+    - type: map_at_100
+      value: 20.121
+    - type: map_at_1000
+      value: 20.305999999999997
+    - type: map_at_3
+      value: 15.348
+    - type: map_at_5
+      value: 16.841
+    - type: mrr_at_1
+      value: 23.909
+    - type: mrr_at_10
+      value: 34.512
+    - type: mrr_at_100
+      value: 35.485
+    - type: mrr_at_1000
+      value: 35.528999999999996
+    - type: mrr_at_3
+      value: 31.368000000000002
+    - type: mrr_at_5
+      value: 33.137
+    - type: ndcg_at_1
+      value: 23.909
+    - type: ndcg_at_10
+      value: 25.94
+    - type: ndcg_at_100
+      value: 33.116
+    - type: ndcg_at_1000
+      value: 36.502
+    - type: ndcg_at_3
+      value: 21.046
+    - type: ndcg_at_5
+      value: 22.715
+    - type: precision_at_1
+      value: 23.909
+    - type: precision_at_10
+      value: 8.195
+    - type: precision_at_100
+      value: 1.593
+    - type: precision_at_1000
+      value: 0.22200000000000003
+    - type: precision_at_3
+      value: 15.744
+    - type: precision_at_5
+      value: 12.142999999999999
+    - type: recall_at_1
+      value: 10.637
+    - type: recall_at_10
+      value: 31.251
+    - type: recall_at_100
+      value: 56.477999999999994
+    - type: recall_at_1000
+      value: 75.52600000000001
+    - type: recall_at_3
+      value: 19.482
+    - type: recall_at_5
+      value: 24.145
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.786999999999999
+    - type: map_at_10
+      value: 16.182
+    - type: map_at_100
+      value: 22.698
+    - type: map_at_1000
+      value: 24.192
+    - type: map_at_3
+      value: 11.84
+    - type: map_at_5
+      value: 13.602
+    - type: mrr_at_1
+      value: 56.99999999999999
+    - type: mrr_at_10
+      value: 66.702
+    - type: mrr_at_100
+      value: 67.291
+    - type: mrr_at_1000
+      value: 67.301
+    - type: mrr_at_3
+      value: 64.708
+    - type: mrr_at_5
+      value: 65.946
+    - type: ndcg_at_1
+      value: 46.75
+    - type: ndcg_at_10
+      value: 35.469
+    - type: ndcg_at_100
+      value: 40.077
+    - type: ndcg_at_1000
+      value: 47.252
+    - type: ndcg_at_3
+      value: 39.096
+    - type: ndcg_at_5
+      value: 36.766
+    - type: precision_at_1
+      value: 56.99999999999999
+    - type: precision_at_10
+      value: 28.175
+    - type: precision_at_100
+      value: 9.423
+    - type: precision_at_1000
+      value: 2.017
+    - type: precision_at_3
+      value: 41.667
+    - type: precision_at_5
+      value: 35.199999999999996
+    - type: recall_at_1
+      value: 7.786999999999999
+    - type: recall_at_10
+      value: 21.428
+    - type: recall_at_100
+      value: 45.86
+    - type: recall_at_1000
+      value: 68.83
+    - type: recall_at_3
+      value: 12.992
+    - type: recall_at_5
+      value: 16.091
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 45.985
+    - type: f1
+      value: 39.52034839578244
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.141999999999996
+    - type: map_at_10
+      value: 50.255
+    - type: map_at_100
+      value: 50.938
+    - type: map_at_1000
+      value: 50.975
+    - type: map_at_3
+      value: 47.4
+    - type: map_at_5
+      value: 49.172
+    - type: mrr_at_1
+      value: 41.794
+    - type: mrr_at_10
+      value: 53.198
+    - type: mrr_at_100
+      value: 53.82900000000001
+    - type: mrr_at_1000
+      value: 53.857
+    - type: mrr_at_3
+      value: 50.32
+    - type: mrr_at_5
+      value: 52.105999999999995
+    - type: ndcg_at_1
+      value: 41.794
+    - type: ndcg_at_10
+      value: 56.411
+    - type: ndcg_at_100
+      value: 59.663
+    - type: ndcg_at_1000
+      value: 60.590999999999994
+    - type: ndcg_at_3
+      value: 50.73
+    - type: ndcg_at_5
+      value: 53.823
+    - type: precision_at_1
+      value: 41.794
+    - type: precision_at_10
+      value: 7.9159999999999995
+    - type: precision_at_100
+      value: 0.968
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 20.627000000000002
+    - type: precision_at_5
+      value: 14.038
+    - type: recall_at_1
+      value: 39.141999999999996
+    - type: recall_at_10
+      value: 72.695
+    - type: recall_at_100
+      value: 87.44800000000001
+    - type: recall_at_1000
+      value: 94.313
+    - type: recall_at_3
+      value: 57.415000000000006
+    - type: recall_at_5
+      value: 64.851
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.715
+    - type: map_at_10
+      value: 30.253999999999998
+    - type: map_at_100
+      value: 32.123000000000005
+    - type: map_at_1000
+      value: 32.303
+    - type: map_at_3
+      value: 26.203
+    - type: map_at_5
+      value: 28.585
+    - type: mrr_at_1
+      value: 36.42
+    - type: mrr_at_10
+      value: 45.456
+    - type: mrr_at_100
+      value: 46.314
+    - type: mrr_at_1000
+      value: 46.356
+    - type: mrr_at_3
+      value: 42.798
+    - type: mrr_at_5
+      value: 44.365
+    - type: ndcg_at_1
+      value: 36.42
+    - type: ndcg_at_10
+      value: 37.747
+    - type: ndcg_at_100
+      value: 44.714999999999996
+    - type: ndcg_at_1000
+      value: 47.866
+    - type: ndcg_at_3
+      value: 34.166999999999994
+    - type: ndcg_at_5
+      value: 35.54
+    - type: precision_at_1
+      value: 36.42
+    - type: precision_at_10
+      value: 10.602
+    - type: precision_at_100
+      value: 1.773
+    - type: precision_at_1000
+      value: 0.234
+    - type: precision_at_3
+      value: 22.84
+    - type: precision_at_5
+      value: 17.315
+    - type: recall_at_1
+      value: 18.715
+    - type: recall_at_10
+      value: 44.199
+    - type: recall_at_100
+      value: 70.097
+    - type: recall_at_1000
+      value: 89.13600000000001
+    - type: recall_at_3
+      value: 30.543
+    - type: recall_at_5
+      value: 36.705
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.608
+    - type: map_at_10
+      value: 45.829
+    - type: map_at_100
+      value: 46.786
+    - type: map_at_1000
+      value: 46.869
+    - type: map_at_3
+      value: 42.834
+    - type: map_at_5
+      value: 44.566
+    - type: mrr_at_1
+      value: 61.214999999999996
+    - type: mrr_at_10
+      value: 69.072
+    - type: mrr_at_100
+      value: 69.492
+    - type: mrr_at_1000
+      value: 69.512
+    - type: mrr_at_3
+      value: 67.553
+    - type: mrr_at_5
+      value: 68.446
+    - type: ndcg_at_1
+      value: 61.214999999999996
+    - type: ndcg_at_10
+      value: 54.66
+    - type: ndcg_at_100
+      value: 58.342000000000006
+    - type: ndcg_at_1000
+      value: 60.101000000000006
+    - type: ndcg_at_3
+      value: 49.932
+    - type: ndcg_at_5
+      value: 52.342999999999996
+    - type: precision_at_1
+      value: 61.214999999999996
+    - type: precision_at_10
+      value: 11.65
+    - type: precision_at_100
+      value: 1.4529999999999998
+    - type: precision_at_1000
+      value: 0.169
+    - type: precision_at_3
+      value: 31.78
+    - type: precision_at_5
+      value: 20.979999999999997
+    - type: recall_at_1
+      value: 30.608
+    - type: recall_at_10
+      value: 58.251
+    - type: recall_at_100
+      value: 72.667
+    - type: recall_at_1000
+      value: 84.396
+    - type: recall_at_3
+      value: 47.67
+    - type: recall_at_5
+      value: 52.451
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 90.21999999999998
+    - type: ap
+      value: 85.88889163834975
+    - type: f1
+      value: 90.20542534971861
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.785
+    - type: map_at_10
+      value: 31.596000000000004
+    - type: map_at_100
+      value: 32.849000000000004
+    - type: map_at_1000
+      value: 32.903999999999996
+    - type: map_at_3
+      value: 27.772000000000002
+    - type: map_at_5
+      value: 29.952
+    - type: mrr_at_1
+      value: 20.344
+    - type: mrr_at_10
+      value: 32.146
+    - type: mrr_at_100
+      value: 33.349000000000004
+    - type: mrr_at_1000
+      value: 33.396
+    - type: mrr_at_3
+      value: 28.403
+    - type: mrr_at_5
+      value: 30.542
+    - type: ndcg_at_1
+      value: 20.358
+    - type: ndcg_at_10
+      value: 38.288
+    - type: ndcg_at_100
+      value: 44.383
+    - type: ndcg_at_1000
+      value: 45.714
+    - type: ndcg_at_3
+      value: 30.525999999999996
+    - type: ndcg_at_5
+      value: 34.393
+    - type: precision_at_1
+      value: 20.358
+    - type: precision_at_10
+      value: 6.16
+    - type: precision_at_100
+      value: 0.9209999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 13.08
+    - type: precision_at_5
+      value: 9.799
+    - type: recall_at_1
+      value: 19.785
+    - type: recall_at_10
+      value: 58.916000000000004
+    - type: recall_at_100
+      value: 87.24
+    - type: recall_at_1000
+      value: 97.37599999999999
+    - type: recall_at_3
+      value: 37.872
+    - type: recall_at_5
+      value: 47.116
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 88.63429092567262
+    - type: f1
+      value: 88.58612904162257
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 58.080255357957135
+    - type: f1
+      value: 39.561402859935
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 65.03026227303296
+    - type: f1
+      value: 61.10334739098155
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 71.05245460659046
+    - type: f1
+      value: 69.96280851244295
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 33.9762359299763
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.670044418802444
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 29.32330726926572
+    - type: mrr
+      value: 30.16727607430052
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.552
+    - type: map_at_10
+      value: 10.692
+    - type: map_at_100
+      value: 13.835
+    - type: map_at_1000
+      value: 15.305
+    - type: map_at_3
+      value: 7.5009999999999994
+    - type: map_at_5
+      value: 8.988
+    - type: mrr_at_1
+      value: 39.318999999999996
+    - type: mrr_at_10
+      value: 48.809000000000005
+    - type: mrr_at_100
+      value: 49.382
+    - type: mrr_at_1000
+      value: 49.442
+    - type: mrr_at_3
+      value: 46.078
+    - type: mrr_at_5
+      value: 48.091
+    - type: ndcg_at_1
+      value: 37.152
+    - type: ndcg_at_10
+      value: 30.159000000000002
+    - type: ndcg_at_100
+      value: 28.371000000000002
+    - type: ndcg_at_1000
+      value: 37.632
+    - type: ndcg_at_3
+      value: 34.662
+    - type: ndcg_at_5
+      value: 32.814
+    - type: precision_at_1
+      value: 38.7
+    - type: precision_at_10
+      value: 23.034
+    - type: precision_at_100
+      value: 7.588
+    - type: precision_at_1000
+      value: 2.0709999999999997
+    - type: precision_at_3
+      value: 33.024
+    - type: precision_at_5
+      value: 29.164
+    - type: recall_at_1
+      value: 4.552
+    - type: recall_at_10
+      value: 14.827000000000002
+    - type: recall_at_100
+      value: 29.256
+    - type: recall_at_1000
+      value: 61.739
+    - type: recall_at_3
+      value: 8.38
+    - type: recall_at_5
+      value: 11.123
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.424999999999997
+    - type: map_at_10
+      value: 39.972
+    - type: map_at_100
+      value: 41.163
+    - type: map_at_1000
+      value: 41.202
+    - type: map_at_3
+      value: 35.546
+    - type: map_at_5
+      value: 38.146
+    - type: mrr_at_1
+      value: 28.794999999999998
+    - type: mrr_at_10
+      value: 42.315999999999995
+    - type: mrr_at_100
+      value: 43.253
+    - type: mrr_at_1000
+      value: 43.282
+    - type: mrr_at_3
+      value: 38.649
+    - type: mrr_at_5
+      value: 40.858
+    - type: ndcg_at_1
+      value: 28.766000000000002
+    - type: ndcg_at_10
+      value: 47.614000000000004
+    - type: ndcg_at_100
+      value: 52.676
+    - type: ndcg_at_1000
+      value: 53.574
+    - type: ndcg_at_3
+      value: 39.292
+    - type: ndcg_at_5
+      value: 43.633
+    - type: precision_at_1
+      value: 28.766000000000002
+    - type: precision_at_10
+      value: 8.201
+    - type: precision_at_100
+      value: 1.099
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 18.201999999999998
+    - type: precision_at_5
+      value: 13.447000000000001
+    - type: recall_at_1
+      value: 25.424999999999997
+    - type: recall_at_10
+      value: 68.586
+    - type: recall_at_100
+      value: 90.556
+    - type: recall_at_1000
+      value: 97.197
+    - type: recall_at_3
+      value: 47.033
+    - type: recall_at_5
+      value: 57.044
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 70.054
+    - type: map_at_10
+      value: 83.991
+    - type: map_at_100
+      value: 84.63000000000001
+    - type: map_at_1000
+      value: 84.648
+    - type: map_at_3
+      value: 80.982
+    - type: map_at_5
+      value: 82.857
+    - type: mrr_at_1
+      value: 80.76
+    - type: mrr_at_10
+      value: 87.079
+    - type: mrr_at_100
+      value: 87.185
+    - type: mrr_at_1000
+      value: 87.18599999999999
+    - type: mrr_at_3
+      value: 86.03
+    - type: mrr_at_5
+      value: 86.771
+    - type: ndcg_at_1
+      value: 80.75
+    - type: ndcg_at_10
+      value: 87.85300000000001
+    - type: ndcg_at_100
+      value: 89.105
+    - type: ndcg_at_1000
+      value: 89.213
+    - type: ndcg_at_3
+      value: 84.87400000000001
+    - type: ndcg_at_5
+      value: 86.51299999999999
+    - type: precision_at_1
+      value: 80.75
+    - type: precision_at_10
+      value: 13.352
+    - type: precision_at_100
+      value: 1.528
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.113
+    - type: precision_at_5
+      value: 24.424
+    - type: recall_at_1
+      value: 70.054
+    - type: recall_at_10
+      value: 95.209
+    - type: recall_at_100
+      value: 99.497
+    - type: recall_at_1000
+      value: 99.973
+    - type: recall_at_3
+      value: 86.654
+    - type: recall_at_5
+      value: 91.313
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 42.71909082787674
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 56.92567540870805
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.225
+    - type: map_at_10
+      value: 5.785
+    - type: map_at_100
+      value: 7.6240000000000006
+    - type: map_at_1000
+      value: 8.094999999999999
+    - type: map_at_3
+      value: 3.882
+    - type: map_at_5
+      value: 4.715
+    - type: mrr_at_1
+      value: 11.0
+    - type: mrr_at_10
+      value: 18.049
+    - type: mrr_at_100
+      value: 19.475
+    - type: mrr_at_1000
+      value: 19.599
+    - type: mrr_at_3
+      value: 15.082999999999998
+    - type: mrr_at_5
+      value: 16.583000000000002
+    - type: ndcg_at_1
+      value: 11.0
+    - type: ndcg_at_10
+      value: 10.59
+    - type: ndcg_at_100
+      value: 18.68
+    - type: ndcg_at_1000
+      value: 27.327
+    - type: ndcg_at_3
+      value: 8.932
+    - type: ndcg_at_5
+      value: 8.126
+    - type: precision_at_1
+      value: 11.0
+    - type: precision_at_10
+      value: 5.89
+    - type: precision_at_100
+      value: 1.778
+    - type: precision_at_1000
+      value: 0.385
+    - type: precision_at_3
+      value: 8.333
+    - type: precision_at_5
+      value: 7.3
+    - type: recall_at_1
+      value: 2.225
+    - type: recall_at_10
+      value: 11.948
+    - type: recall_at_100
+      value: 36.097
+    - type: recall_at_1000
+      value: 78.145
+    - type: recall_at_3
+      value: 5.078
+    - type: recall_at_5
+      value: 7.4079999999999995
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.87898494199837
+    - type: cos_sim_spearman
+      value: 79.3815141247343
+    - type: euclidean_pearson
+      value: 80.984944764735
+    - type: euclidean_spearman
+      value: 79.37984688714191
+    - type: manhattan_pearson
+      value: 80.96139326762788
+    - type: manhattan_spearman
+      value: 79.34882764221987
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.94123934276303
+    - type: cos_sim_spearman
+      value: 73.64821774752144
+    - type: euclidean_pearson
+      value: 79.09149672589201
+    - type: euclidean_spearman
+      value: 73.64174833442063
+    - type: manhattan_pearson
+      value: 79.05135129686983
+    - type: manhattan_spearman
+      value: 73.57858840270084
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 71.37047316191514
+    - type: cos_sim_spearman
+      value: 75.56797051373606
+    - type: euclidean_pearson
+      value: 74.59038333631109
+    - type: euclidean_spearman
+      value: 75.55966023907652
+    - type: manhattan_pearson
+      value: 74.56600039917967
+    - type: manhattan_spearman
+      value: 75.52139454559969
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 71.75410054949431
+    - type: cos_sim_spearman
+      value: 72.09826786050286
+    - type: euclidean_pearson
+      value: 72.30015801748517
+    - type: euclidean_spearman
+      value: 72.09347126863909
+    - type: manhattan_pearson
+      value: 72.2692656804079
+    - type: manhattan_spearman
+      value: 72.07403601010577
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.09663528706463
+    - type: cos_sim_spearman
+      value: 85.6296813586495
+    - type: euclidean_pearson
+      value: 84.14347920777777
+    - type: euclidean_spearman
+      value: 85.62948425849926
+    - type: manhattan_pearson
+      value: 84.08840896634038
+    - type: manhattan_spearman
+      value: 85.56264430897471
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.55984417539631
+    - type: cos_sim_spearman
+      value: 82.06700938579174
+    - type: euclidean_pearson
+      value: 80.92277218507344
+    - type: euclidean_spearman
+      value: 82.06297899287695
+    - type: manhattan_pearson
+      value: 80.89292734584946
+    - type: manhattan_spearman
+      value: 82.01121177547141
+  - 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: 88.70738419575085
+    - type: cos_sim_spearman
+      value: 88.99910283221313
+    - type: euclidean_pearson
+      value: 88.91458218447116
+    - type: euclidean_spearman
+      value: 88.97188755639708
+    - type: manhattan_pearson
+      value: 88.93397958768632
+    - type: manhattan_spearman
+      value: 89.0514960821245
+  - 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: 65.30101408630514
+    - type: cos_sim_spearman
+      value: 66.15672143838582
+    - type: euclidean_pearson
+      value: 66.61257552376895
+    - type: euclidean_spearman
+      value: 66.00319920690566
+    - type: manhattan_pearson
+      value: 66.81435622246758
+    - type: manhattan_spearman
+      value: 66.35221377631379
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.94191078286725
+    - type: cos_sim_spearman
+      value: 83.69085688689903
+    - type: euclidean_pearson
+      value: 83.28942607749994
+    - type: euclidean_spearman
+      value: 83.69370814043747
+    - type: manhattan_pearson
+      value: 83.3553242227074
+    - type: manhattan_spearman
+      value: 83.74306572840383
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 88.02503921524934
+    - type: mrr
+      value: 96.47891777793738
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 51.24999999999999
+    - type: map_at_10
+      value: 61.472
+    - type: map_at_100
+      value: 62.132
+    - type: map_at_1000
+      value: 62.161
+    - type: map_at_3
+      value: 58.18299999999999
+    - type: map_at_5
+      value: 60.246
+    - type: mrr_at_1
+      value: 54.0
+    - type: mrr_at_10
+      value: 62.395
+    - type: mrr_at_100
+      value: 62.936
+    - type: mrr_at_1000
+      value: 62.965
+    - type: mrr_at_3
+      value: 59.833000000000006
+    - type: mrr_at_5
+      value: 61.5
+    - type: ndcg_at_1
+      value: 54.0
+    - type: ndcg_at_10
+      value: 66.235
+    - type: ndcg_at_100
+      value: 69.279
+    - type: ndcg_at_1000
+      value: 70.044
+    - type: ndcg_at_3
+      value: 60.679
+    - type: ndcg_at_5
+      value: 63.80200000000001
+    - type: precision_at_1
+      value: 54.0
+    - type: precision_at_10
+      value: 9.167
+    - type: precision_at_100
+      value: 1.0699999999999998
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 24.111
+    - type: precision_at_5
+      value: 16.333000000000002
+    - type: recall_at_1
+      value: 51.24999999999999
+    - type: recall_at_10
+      value: 79.833
+    - type: recall_at_100
+      value: 94.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 65.267
+    - type: recall_at_5
+      value: 72.956
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.62673267326733
+    - type: cos_sim_ap
+      value: 87.07482534376774
+    - type: cos_sim_f1
+      value: 80.63687724704674
+    - type: cos_sim_precision
+      value: 82.89334741288279
+    - type: cos_sim_recall
+      value: 78.5
+    - type: dot_accuracy
+      value: 99.63564356435643
+    - type: dot_ap
+      value: 86.98432756163903
+    - type: dot_f1
+      value: 80.91286307053943
+    - type: dot_precision
+      value: 84.05172413793103
+    - type: dot_recall
+      value: 78.0
+    - type: euclidean_accuracy
+      value: 99.62673267326733
+    - type: euclidean_ap
+      value: 87.0756316041764
+    - type: euclidean_f1
+      value: 80.53553038105046
+    - type: euclidean_precision
+      value: 83.01486199575372
+    - type: euclidean_recall
+      value: 78.2
+    - type: manhattan_accuracy
+      value: 99.62574257425743
+    - type: manhattan_ap
+      value: 87.05953308523233
+    - type: manhattan_f1
+      value: 80.50632911392405
+    - type: manhattan_precision
+      value: 81.53846153846153
+    - type: manhattan_recall
+      value: 79.5
+    - type: max_accuracy
+      value: 99.63564356435643
+    - type: max_ap
+      value: 87.0756316041764
+    - type: max_f1
+      value: 80.91286307053943
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 53.59692640735744
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 32.86771187657918
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 45.705711066037644
+    - type: mrr
+      value: 46.25163133435192
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.066382997227624
+    - type: cos_sim_spearman
+      value: 31.00934876843689
+    - type: dot_pearson
+      value: 30.419206995727873
+    - type: dot_spearman
+      value: 31.046571150093747
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.173
+    - type: map_at_10
+      value: 1.154
+    - type: map_at_100
+      value: 5.8180000000000005
+    - type: map_at_1000
+      value: 14.892
+    - type: map_at_3
+      value: 0.415
+    - type: map_at_5
+      value: 0.641
+    - type: mrr_at_1
+      value: 68.0
+    - type: mrr_at_10
+      value: 76.869
+    - type: mrr_at_100
+      value: 77.264
+    - type: mrr_at_1000
+      value: 77.264
+    - type: mrr_at_3
+      value: 75.333
+    - type: mrr_at_5
+      value: 76.333
+    - type: ndcg_at_1
+      value: 62.0
+    - type: ndcg_at_10
+      value: 50.81
+    - type: ndcg_at_100
+      value: 37.659
+    - type: ndcg_at_1000
+      value: 37.444
+    - type: ndcg_at_3
+      value: 55.11200000000001
+    - type: ndcg_at_5
+      value: 51.858000000000004
+    - type: precision_at_1
+      value: 68.0
+    - type: precision_at_10
+      value: 54.800000000000004
+    - type: precision_at_100
+      value: 38.36
+    - type: precision_at_1000
+      value: 16.88
+    - type: precision_at_3
+      value: 57.99999999999999
+    - type: precision_at_5
+      value: 54.800000000000004
+    - type: recall_at_1
+      value: 0.173
+    - type: recall_at_10
+      value: 1.435
+    - type: recall_at_100
+      value: 9.259
+    - type: recall_at_1000
+      value: 36.033
+    - type: recall_at_3
+      value: 0.447
+    - type: recall_at_5
+      value: 0.74
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.228
+    - type: map_at_10
+      value: 4.633
+    - type: map_at_100
+      value: 9.171
+    - type: map_at_1000
+      value: 10.58
+    - type: map_at_3
+      value: 2.413
+    - type: map_at_5
+      value: 3.3640000000000003
+    - type: mrr_at_1
+      value: 16.326999999999998
+    - type: mrr_at_10
+      value: 27.071
+    - type: mrr_at_100
+      value: 28.454
+    - type: mrr_at_1000
+      value: 28.475
+    - type: mrr_at_3
+      value: 19.048000000000002
+    - type: mrr_at_5
+      value: 24.354
+    - type: ndcg_at_1
+      value: 14.285999999999998
+    - type: ndcg_at_10
+      value: 13.312
+    - type: ndcg_at_100
+      value: 25.587
+    - type: ndcg_at_1000
+      value: 37.879000000000005
+    - type: ndcg_at_3
+      value: 11.591
+    - type: ndcg_at_5
+      value: 12.536
+    - type: precision_at_1
+      value: 16.326999999999998
+    - type: precision_at_10
+      value: 13.264999999999999
+    - type: precision_at_100
+      value: 6.061
+    - type: precision_at_1000
+      value: 1.4040000000000001
+    - type: precision_at_3
+      value: 12.245000000000001
+    - type: precision_at_5
+      value: 13.877999999999998
+    - type: recall_at_1
+      value: 1.228
+    - type: recall_at_10
+      value: 9.759
+    - type: recall_at_100
+      value: 38.809
+    - type: recall_at_1000
+      value: 76.229
+    - type: recall_at_3
+      value: 2.738
+    - type: recall_at_5
+      value: 5.510000000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 69.33179999999999
+    - type: ap
+      value: 14.379598043710034
+    - type: f1
+      value: 53.89665138084001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 58.245614035087726
+    - type: f1
+      value: 58.3152945231724
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 38.38161204174159
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.60118018716099
+    - type: cos_sim_ap
+      value: 62.5064927795416
+    - type: cos_sim_f1
+      value: 59.50177935943061
+    - type: cos_sim_precision
+      value: 54.05172413793103
+    - type: cos_sim_recall
+      value: 66.17414248021109
+    - type: dot_accuracy
+      value: 82.52369315133814
+    - type: dot_ap
+      value: 62.36545569178682
+    - type: dot_f1
+      value: 59.5539204414808
+    - type: dot_precision
+      value: 52.77098614506927
+    - type: dot_recall
+      value: 68.33773087071239
+    - type: euclidean_accuracy
+      value: 82.62502235202956
+    - type: euclidean_ap
+      value: 62.51708062651598
+    - type: euclidean_f1
+      value: 59.48887837198297
+    - type: euclidean_precision
+      value: 53.925353925353924
+    - type: euclidean_recall
+      value: 66.33245382585751
+    - type: manhattan_accuracy
+      value: 82.57733802229242
+    - type: manhattan_ap
+      value: 62.4034159268756
+    - type: manhattan_f1
+      value: 59.42896615242921
+    - type: manhattan_precision
+      value: 52.716503267973856
+    - type: manhattan_recall
+      value: 68.10026385224275
+    - type: max_accuracy
+      value: 82.62502235202956
+    - type: max_ap
+      value: 62.51708062651598
+    - type: max_f1
+      value: 59.5539204414808
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 86.74079248651377
+    - type: cos_sim_ap
+      value: 81.11128912769627
+    - type: cos_sim_f1
+      value: 73.39903296054331
+    - type: cos_sim_precision
+      value: 70.49273307337823
+    - type: cos_sim_recall
+      value: 76.55528179858331
+    - type: dot_accuracy
+      value: 86.71362595567975
+    - type: dot_ap
+      value: 81.07587927324371
+    - type: dot_f1
+      value: 73.36112443280334
+    - type: dot_precision
+      value: 70.42283447836249
+    - type: dot_recall
+      value: 76.55528179858331
+    - type: euclidean_accuracy
+      value: 86.73109015407304
+    - type: euclidean_ap
+      value: 81.11249921439843
+    - type: euclidean_f1
+      value: 73.39903296054331
+    - type: euclidean_precision
+      value: 70.49273307337823
+    - type: euclidean_recall
+      value: 76.55528179858331
+    - type: manhattan_accuracy
+      value: 86.7252687546086
+    - type: manhattan_ap
+      value: 81.05990290681223
+    - type: manhattan_f1
+      value: 73.29173525245952
+    - type: manhattan_precision
+      value: 72.88161400837457
+    - type: manhattan_recall
+      value: 73.70649830612874
+    - type: max_accuracy
+      value: 86.74079248651377
+    - type: max_ap
+      value: 81.11249921439843
+    - type: max_f1
+      value: 73.39903296054331
+---