diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -10,6 +10,2893 @@ tags:
 - mteb
 datasets:
 - Mihaiii/qa-assistant
+model-index:
+- name: Wartortle
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 70.40298507462687
+    - type: ap
+      value: 32.88973775597331
+    - type: f1
+      value: 64.3726772221329
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 82.0381
+    - type: ap
+      value: 77.15483149750918
+    - type: f1
+      value: 81.97695449378108
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 42.412
+    - type: f1
+      value: 41.039684315409595
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 16.003
+    - type: map_at_10
+      value: 28.448
+    - type: map_at_100
+      value: 29.781999999999996
+    - type: map_at_1000
+      value: 29.822
+    - type: map_at_20
+      value: 29.278
+    - type: map_at_3
+      value: 23.874000000000002
+    - type: map_at_5
+      value: 26.491
+    - type: mrr_at_1
+      value: 16.714000000000002
+    - type: mrr_at_10
+      value: 28.727999999999998
+    - type: mrr_at_100
+      value: 30.055
+    - type: mrr_at_1000
+      value: 30.095
+    - type: mrr_at_20
+      value: 29.558
+    - type: mrr_at_3
+      value: 24.194
+    - type: mrr_at_5
+      value: 26.778999999999996
+    - type: ndcg_at_1
+      value: 16.003
+    - type: ndcg_at_10
+      value: 35.865
+    - type: ndcg_at_100
+      value: 42.304
+    - type: ndcg_at_1000
+      value: 43.333
+    - type: ndcg_at_20
+      value: 38.876
+    - type: ndcg_at_3
+      value: 26.436999999999998
+    - type: ndcg_at_5
+      value: 31.139
+    - type: precision_at_1
+      value: 16.003
+    - type: precision_at_10
+      value: 5.982
+    - type: precision_at_100
+      value: 0.898
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_20
+      value: 3.585
+    - type: precision_at_3
+      value: 11.285
+    - type: precision_at_5
+      value: 9.046999999999999
+    - type: recall_at_1
+      value: 16.003
+    - type: recall_at_10
+      value: 59.815
+    - type: recall_at_100
+      value: 89.75800000000001
+    - type: recall_at_1000
+      value: 97.795
+    - type: recall_at_20
+      value: 71.693
+    - type: recall_at_3
+      value: 33.855000000000004
+    - type: recall_at_5
+      value: 45.235
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 35.843668514122115
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 27.30050438270763
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 54.0887502643707
+    - type: mrr
+      value: 67.73864485775843
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.95194509739122
+    - type: cos_sim_spearman
+      value: 80.77894903688735
+    - type: euclidean_pearson
+      value: 79.39078717146849
+    - type: euclidean_spearman
+      value: 80.77894903688735
+    - type: manhattan_pearson
+      value: 78.71356224958951
+    - type: manhattan_spearman
+      value: 80.19520079602864
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 71.07467532467531
+    - type: f1
+      value: 70.01947223710656
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 32.35131737359483
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 24.05979515497522
+    - type: v_measures
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+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 20.799
+    - type: map_at_10
+      value: 28.028
+    - type: map_at_100
+      value: 29.066
+    - type: map_at_1000
+      value: 29.205
+    - type: map_at_20
+      value: 28.541
+    - type: map_at_3
+      value: 25.741000000000003
+    - type: map_at_5
+      value: 26.962000000000003
+    - type: mrr_at_1
+      value: 27.039
+    - type: mrr_at_10
+      value: 34.028000000000006
+    - type: mrr_at_100
+      value: 34.823
+    - type: mrr_at_1000
+      value: 34.894
+    - type: mrr_at_20
+      value: 34.476
+    - type: mrr_at_3
+      value: 31.855
+    - type: mrr_at_5
+      value: 33.114
+    - type: ndcg_at_1
+      value: 27.039
+    - type: ndcg_at_10
+      value: 32.958999999999996
+    - type: ndcg_at_100
+      value: 37.778
+    - type: ndcg_at_1000
+      value: 40.703
+    - type: ndcg_at_20
+      value: 34.58
+    - type: ndcg_at_3
+      value: 29.443
+    - type: ndcg_at_5
+      value: 30.887999999999998
+    - type: precision_at_1
+      value: 27.039
+    - type: precision_at_10
+      value: 6.252000000000001
+    - type: precision_at_100
+      value: 1.0659999999999998
+    - type: precision_at_1000
+      value: 0.16199999999999998
+    - type: precision_at_20
+      value: 3.705
+    - type: precision_at_3
+      value: 14.402000000000001
+    - type: precision_at_5
+      value: 10.157
+    - type: recall_at_1
+      value: 20.799
+    - type: recall_at_10
+      value: 41.819
+    - type: recall_at_100
+      value: 63.32299999999999
+    - type: recall_at_1000
+      value: 82.994
+    - type: recall_at_20
+      value: 48.024
+    - type: recall_at_3
+      value: 30.523
+    - type: recall_at_5
+      value: 35.214
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 13.431999999999999
+    - type: map_at_10
+      value: 18.384
+    - type: map_at_100
+      value: 19.067999999999998
+    - type: map_at_1000
+      value: 19.178
+    - type: map_at_20
+      value: 18.732
+    - type: map_at_3
+      value: 16.834
+    - type: map_at_5
+      value: 17.758
+    - type: mrr_at_1
+      value: 16.624
+    - type: mrr_at_10
+      value: 21.467
+    - type: mrr_at_100
+      value: 22.126
+    - type: mrr_at_1000
+      value: 22.206
+    - type: mrr_at_20
+      value: 21.8
+    - type: mrr_at_3
+      value: 19.894000000000002
+    - type: mrr_at_5
+      value: 20.794999999999998
+    - type: ndcg_at_1
+      value: 16.624
+    - type: ndcg_at_10
+      value: 21.502
+    - type: ndcg_at_100
+      value: 25.006
+    - type: ndcg_at_1000
+      value: 27.842
+    - type: ndcg_at_20
+      value: 22.651
+    - type: ndcg_at_3
+      value: 18.857
+    - type: ndcg_at_5
+      value: 20.149
+    - type: precision_at_1
+      value: 16.624
+    - type: precision_at_10
+      value: 4.025
+    - type: precision_at_100
+      value: 0.705
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_20
+      value: 2.408
+    - type: precision_at_3
+      value: 9.107999999999999
+    - type: precision_at_5
+      value: 6.561
+    - type: recall_at_1
+      value: 13.431999999999999
+    - type: recall_at_10
+      value: 27.648
+    - type: recall_at_100
+      value: 43.455
+    - type: recall_at_1000
+      value: 63.246
+    - type: recall_at_20
+      value: 31.896
+    - type: recall_at_3
+      value: 20.084
+    - type: recall_at_5
+      value: 23.593
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 24.26
+    - type: map_at_10
+      value: 32.432
+    - type: map_at_100
+      value: 33.415
+    - type: map_at_1000
+      value: 33.512
+    - type: map_at_20
+      value: 32.949
+    - type: map_at_3
+      value: 29.938
+    - type: map_at_5
+      value: 31.328
+    - type: mrr_at_1
+      value: 27.900000000000002
+    - type: mrr_at_10
+      value: 35.449000000000005
+    - type: mrr_at_100
+      value: 36.293
+    - type: mrr_at_1000
+      value: 36.359
+    - type: mrr_at_20
+      value: 35.92
+    - type: mrr_at_3
+      value: 33.166000000000004
+    - type: mrr_at_5
+      value: 34.439
+    - type: ndcg_at_1
+      value: 27.900000000000002
+    - type: ndcg_at_10
+      value: 37.074
+    - type: ndcg_at_100
+      value: 41.786
+    - type: ndcg_at_1000
+      value: 44.01
+    - type: ndcg_at_20
+      value: 38.786
+    - type: ndcg_at_3
+      value: 32.440000000000005
+    - type: ndcg_at_5
+      value: 34.615
+    - type: precision_at_1
+      value: 27.900000000000002
+    - type: precision_at_10
+      value: 6.056
+    - type: precision_at_100
+      value: 0.924
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_20
+      value: 3.4979999999999998
+    - type: precision_at_3
+      value: 14.274000000000001
+    - type: precision_at_5
+      value: 10.044
+    - type: recall_at_1
+      value: 24.26
+    - type: recall_at_10
+      value: 48.266
+    - type: recall_at_100
+      value: 69.433
+    - type: recall_at_1000
+      value: 85.419
+    - type: recall_at_20
+      value: 54.578
+    - type: recall_at_3
+      value: 35.776
+    - type: recall_at_5
+      value: 41.076
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 13.277
+    - type: map_at_10
+      value: 17.776
+    - type: map_at_100
+      value: 18.476
+    - type: map_at_1000
+      value: 18.572
+    - type: map_at_20
+      value: 18.102
+    - type: map_at_3
+      value: 16.072
+    - type: map_at_5
+      value: 17.085
+    - type: mrr_at_1
+      value: 14.237
+    - type: mrr_at_10
+      value: 19.051000000000002
+    - type: mrr_at_100
+      value: 19.728
+    - type: mrr_at_1000
+      value: 19.819
+    - type: mrr_at_20
+      value: 19.346
+    - type: mrr_at_3
+      value: 17.439
+    - type: mrr_at_5
+      value: 18.387999999999998
+    - type: ndcg_at_1
+      value: 14.237
+    - type: ndcg_at_10
+      value: 20.669999999999998
+    - type: ndcg_at_100
+      value: 24.58
+    - type: ndcg_at_1000
+      value: 27.557
+    - type: ndcg_at_20
+      value: 21.784
+    - type: ndcg_at_3
+      value: 17.369
+    - type: ndcg_at_5
+      value: 19.067999999999998
+    - type: precision_at_1
+      value: 14.237
+    - type: precision_at_10
+      value: 3.232
+    - type: precision_at_100
+      value: 0.5579999999999999
+    - type: precision_at_1000
+      value: 0.08499999999999999
+    - type: precision_at_20
+      value: 1.881
+    - type: precision_at_3
+      value: 7.3069999999999995
+    - type: precision_at_5
+      value: 5.333
+    - type: recall_at_1
+      value: 13.277
+    - type: recall_at_10
+      value: 28.496
+    - type: recall_at_100
+      value: 47.343
+    - type: recall_at_1000
+      value: 70.92699999999999
+    - type: recall_at_20
+      value: 32.646
+    - type: recall_at_3
+      value: 19.570999999999998
+    - type: recall_at_5
+      value: 23.624000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 6.329999999999999
+    - type: map_at_10
+      value: 10.16
+    - type: map_at_100
+      value: 11.004
+    - type: map_at_1000
+      value: 11.136
+    - type: map_at_20
+      value: 10.546999999999999
+    - type: map_at_3
+      value: 8.491
+    - type: map_at_5
+      value: 9.383
+    - type: mrr_at_1
+      value: 7.587000000000001
+    - type: mrr_at_10
+      value: 12.434000000000001
+    - type: mrr_at_100
+      value: 13.279
+    - type: mrr_at_1000
+      value: 13.377
+    - type: mrr_at_20
+      value: 12.855
+    - type: mrr_at_3
+      value: 10.282
+    - type: mrr_at_5
+      value: 11.42
+    - type: ndcg_at_1
+      value: 7.587000000000001
+    - type: ndcg_at_10
+      value: 13.239999999999998
+    - type: ndcg_at_100
+      value: 17.727999999999998
+    - type: ndcg_at_1000
+      value: 21.346
+    - type: ndcg_at_20
+      value: 14.649000000000001
+    - type: ndcg_at_3
+      value: 9.687
+    - type: ndcg_at_5
+      value: 11.306
+    - type: precision_at_1
+      value: 7.587000000000001
+    - type: precision_at_10
+      value: 2.749
+    - type: precision_at_100
+      value: 0.583
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_20
+      value: 1.76
+    - type: precision_at_3
+      value: 4.643
+    - type: precision_at_5
+      value: 3.881
+    - type: recall_at_1
+      value: 6.329999999999999
+    - type: recall_at_10
+      value: 20.596999999999998
+    - type: recall_at_100
+      value: 40.642
+    - type: recall_at_1000
+      value: 67.268
+    - type: recall_at_20
+      value: 25.615
+    - type: recall_at_3
+      value: 11.036
+    - type: recall_at_5
+      value: 14.909
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 16.558
+    - type: map_at_10
+      value: 22.551
+    - type: map_at_100
+      value: 23.669
+    - type: map_at_1000
+      value: 23.809
+    - type: map_at_20
+      value: 23.173
+    - type: map_at_3
+      value: 20.681
+    - type: map_at_5
+      value: 21.674
+    - type: mrr_at_1
+      value: 20.693
+    - type: mrr_at_10
+      value: 27.133000000000003
+    - type: mrr_at_100
+      value: 28.073999999999998
+    - type: mrr_at_1000
+      value: 28.16
+    - type: mrr_at_20
+      value: 27.693
+    - type: mrr_at_3
+      value: 25.201
+    - type: mrr_at_5
+      value: 26.407999999999998
+    - type: ndcg_at_1
+      value: 20.693
+    - type: ndcg_at_10
+      value: 26.701999999999998
+    - type: ndcg_at_100
+      value: 32.031
+    - type: ndcg_at_1000
+      value: 35.265
+    - type: ndcg_at_20
+      value: 28.814
+    - type: ndcg_at_3
+      value: 23.474
+    - type: ndcg_at_5
+      value: 24.924
+    - type: precision_at_1
+      value: 20.693
+    - type: precision_at_10
+      value: 4.986
+    - type: precision_at_100
+      value: 0.915
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_20
+      value: 3.157
+    - type: precision_at_3
+      value: 11.132
+    - type: precision_at_5
+      value: 8.027
+    - type: recall_at_1
+      value: 16.558
+    - type: recall_at_10
+      value: 34.636
+    - type: recall_at_100
+      value: 57.745999999999995
+    - type: recall_at_1000
+      value: 80.438
+    - type: recall_at_20
+      value: 42.248000000000005
+    - type: recall_at_3
+      value: 25.419999999999998
+    - type: recall_at_5
+      value: 29.254
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 10.231
+    - type: map_at_10
+      value: 14.352
+    - type: map_at_100
+      value: 15.174000000000001
+    - type: map_at_1000
+      value: 15.310000000000002
+    - type: map_at_20
+      value: 14.704
+    - type: map_at_3
+      value: 12.878
+    - type: map_at_5
+      value: 13.632
+    - type: mrr_at_1
+      value: 12.556999999999999
+    - type: mrr_at_10
+      value: 17.378
+    - type: mrr_at_100
+      value: 18.186
+    - type: mrr_at_1000
+      value: 18.287
+    - type: mrr_at_20
+      value: 17.752000000000002
+    - type: mrr_at_3
+      value: 15.772
+    - type: mrr_at_5
+      value: 16.6
+    - type: ndcg_at_1
+      value: 12.556999999999999
+    - type: ndcg_at_10
+      value: 17.501
+    - type: ndcg_at_100
+      value: 22.065
+    - type: ndcg_at_1000
+      value: 25.607999999999997
+    - type: ndcg_at_20
+      value: 18.756
+    - type: ndcg_at_3
+      value: 14.691
+    - type: ndcg_at_5
+      value: 15.842
+    - type: precision_at_1
+      value: 12.556999999999999
+    - type: precision_at_10
+      value: 3.322
+    - type: precision_at_100
+      value: 0.6709999999999999
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_20
+      value: 2.0549999999999997
+    - type: precision_at_3
+      value: 6.963
+    - type: precision_at_5
+      value: 5.137
+    - type: recall_at_1
+      value: 10.231
+    - type: recall_at_10
+      value: 24.2
+    - type: recall_at_100
+      value: 45.051
+    - type: recall_at_1000
+      value: 70.372
+    - type: recall_at_20
+      value: 28.624
+    - type: recall_at_3
+      value: 16.209
+    - type: recall_at_5
+      value: 19.259999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 13.304916666666664
+    - type: map_at_10
+      value: 18.2725
+    - type: map_at_100
+      value: 19.125249999999998
+    - type: map_at_1000
+      value: 19.246166666666664
+    - type: map_at_20
+      value: 18.682916666666667
+    - type: map_at_3
+      value: 16.61425
+    - type: map_at_5
+      value: 17.508000000000003
+    - type: mrr_at_1
+      value: 16.06625
+    - type: mrr_at_10
+      value: 21.317583333333335
+    - type: mrr_at_100
+      value: 22.106583333333333
+    - type: mrr_at_1000
+      value: 22.195
+    - type: mrr_at_20
+      value: 21.716500000000003
+    - type: mrr_at_3
+      value: 19.601666666666667
+    - type: mrr_at_5
+      value: 20.540333333333326
+    - type: ndcg_at_1
+      value: 16.06625
+    - type: ndcg_at_10
+      value: 21.690500000000004
+    - type: ndcg_at_100
+      value: 26.08625
+    - type: ndcg_at_1000
+      value: 29.223333333333336
+    - type: ndcg_at_20
+      value: 23.085083333333333
+    - type: ndcg_at_3
+      value: 18.621583333333337
+    - type: ndcg_at_5
+      value: 19.984999999999996
+    - type: precision_at_1
+      value: 16.06625
+    - type: precision_at_10
+      value: 3.9008333333333334
+    - type: precision_at_100
+      value: 0.7179166666666666
+    - type: precision_at_1000
+      value: 0.11541666666666667
+    - type: precision_at_20
+      value: 2.3684166666666666
+    - type: precision_at_3
+      value: 8.643
+    - type: precision_at_5
+      value: 6.230833333333333
+    - type: recall_at_1
+      value: 13.304916666666664
+    - type: recall_at_10
+      value: 29.081916666666665
+    - type: recall_at_100
+      value: 49.29125
+    - type: recall_at_1000
+      value: 72.18308333333331
+    - type: recall_at_20
+      value: 34.271499999999996
+    - type: recall_at_3
+      value: 20.34425
+    - type: recall_at_5
+      value: 23.923583333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 10.539
+    - type: map_at_10
+      value: 14.783
+    - type: map_at_100
+      value: 15.542
+    - type: map_at_1000
+      value: 15.644
+    - type: map_at_20
+      value: 15.139
+    - type: map_at_3
+      value: 13.508999999999999
+    - type: map_at_5
+      value: 14.191
+    - type: mrr_at_1
+      value: 12.577
+    - type: mrr_at_10
+      value: 17.212
+    - type: mrr_at_100
+      value: 17.95
+    - type: mrr_at_1000
+      value: 18.043
+    - type: mrr_at_20
+      value: 17.563000000000002
+    - type: mrr_at_3
+      value: 15.951
+    - type: mrr_at_5
+      value: 16.587
+    - type: ndcg_at_1
+      value: 12.577
+    - type: ndcg_at_10
+      value: 17.683
+    - type: ndcg_at_100
+      value: 21.783
+    - type: ndcg_at_1000
+      value: 24.802
+    - type: ndcg_at_20
+      value: 18.944
+    - type: ndcg_at_3
+      value: 15.204999999999998
+    - type: ndcg_at_5
+      value: 16.274
+    - type: precision_at_1
+      value: 12.577
+    - type: precision_at_10
+      value: 2.991
+    - type: precision_at_100
+      value: 0.557
+    - type: precision_at_1000
+      value: 0.08800000000000001
+    - type: precision_at_20
+      value: 1.81
+    - type: precision_at_3
+      value: 6.952999999999999
+    - type: precision_at_5
+      value: 4.8469999999999995
+    - type: recall_at_1
+      value: 10.539
+    - type: recall_at_10
+      value: 24.541
+    - type: recall_at_100
+      value: 43.732
+    - type: recall_at_1000
+      value: 66.97800000000001
+    - type: recall_at_20
+      value: 29.331000000000003
+    - type: recall_at_3
+      value: 17.096
+    - type: recall_at_5
+      value: 20.080000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 7.954
+    - type: map_at_10
+      value: 11.091
+    - type: map_at_100
+      value: 11.828
+    - type: map_at_1000
+      value: 11.935
+    - type: map_at_20
+      value: 11.44
+    - type: map_at_3
+      value: 9.876
+    - type: map_at_5
+      value: 10.496
+    - type: mrr_at_1
+      value: 9.738
+    - type: mrr_at_10
+      value: 13.361
+    - type: mrr_at_100
+      value: 14.096
+    - type: mrr_at_1000
+      value: 14.184
+    - type: mrr_at_20
+      value: 13.721
+    - type: mrr_at_3
+      value: 12.004
+    - type: mrr_at_5
+      value: 12.658
+    - type: ndcg_at_1
+      value: 9.738
+    - type: ndcg_at_10
+      value: 13.592
+    - type: ndcg_at_100
+      value: 17.512
+    - type: ndcg_at_1000
+      value: 20.602999999999998
+    - type: ndcg_at_20
+      value: 14.789
+    - type: ndcg_at_3
+      value: 11.232000000000001
+    - type: ndcg_at_5
+      value: 12.191
+    - type: precision_at_1
+      value: 9.738
+    - type: precision_at_10
+      value: 2.598
+    - type: precision_at_100
+      value: 0.553
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_20
+      value: 1.652
+    - type: precision_at_3
+      value: 5.311
+    - type: precision_at_5
+      value: 3.895
+    - type: recall_at_1
+      value: 7.954
+    - type: recall_at_10
+      value: 18.932
+    - type: recall_at_100
+      value: 37.082
+    - type: recall_at_1000
+      value: 60.114999999999995
+    - type: recall_at_20
+      value: 23.339
+    - type: recall_at_3
+      value: 12.318999999999999
+    - type: recall_at_5
+      value: 14.834
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 13.764999999999999
+    - type: map_at_10
+      value: 17.766000000000002
+    - type: map_at_100
+      value: 18.637999999999998
+    - type: map_at_1000
+      value: 18.755
+    - type: map_at_20
+      value: 18.242
+    - type: map_at_3
+      value: 16.502
+    - type: map_at_5
+      value: 17.155
+    - type: mrr_at_1
+      value: 16.604
+    - type: mrr_at_10
+      value: 21.071
+    - type: mrr_at_100
+      value: 21.906
+    - type: mrr_at_1000
+      value: 22.0
+    - type: mrr_at_20
+      value: 21.545
+    - type: mrr_at_3
+      value: 19.667
+    - type: mrr_at_5
+      value: 20.395
+    - type: ndcg_at_1
+      value: 16.604
+    - type: ndcg_at_10
+      value: 20.742
+    - type: ndcg_at_100
+      value: 25.363999999999997
+    - type: ndcg_at_1000
+      value: 28.607
+    - type: ndcg_at_20
+      value: 22.469
+    - type: ndcg_at_3
+      value: 18.276999999999997
+    - type: ndcg_at_5
+      value: 19.277
+    - type: precision_at_1
+      value: 16.604
+    - type: precision_at_10
+      value: 3.47
+    - type: precision_at_100
+      value: 0.651
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_20
+      value: 2.169
+    - type: precision_at_3
+      value: 8.209
+    - type: precision_at_5
+      value: 5.7090000000000005
+    - type: recall_at_1
+      value: 13.764999999999999
+    - type: recall_at_10
+      value: 26.752
+    - type: recall_at_100
+      value: 47.988
+    - type: recall_at_1000
+      value: 71.859
+    - type: recall_at_20
+      value: 33.25
+    - type: recall_at_3
+      value: 19.777
+    - type: recall_at_5
+      value: 22.39
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 14.435999999999998
+    - type: map_at_10
+      value: 19.517
+    - type: map_at_100
+      value: 20.380000000000003
+    - type: map_at_1000
+      value: 20.558
+    - type: map_at_20
+      value: 19.858
+    - type: map_at_3
+      value: 17.764
+    - type: map_at_5
+      value: 18.705
+    - type: mrr_at_1
+      value: 18.182000000000002
+    - type: mrr_at_10
+      value: 23.342
+    - type: mrr_at_100
+      value: 24.121000000000002
+    - type: mrr_at_1000
+      value: 24.226
+    - type: mrr_at_20
+      value: 23.71
+    - type: mrr_at_3
+      value: 21.573999999999998
+    - type: mrr_at_5
+      value: 22.572
+    - type: ndcg_at_1
+      value: 18.182000000000002
+    - type: ndcg_at_10
+      value: 23.322000000000003
+    - type: ndcg_at_100
+      value: 27.529999999999998
+    - type: ndcg_at_1000
+      value: 31.434
+    - type: ndcg_at_20
+      value: 24.274
+    - type: ndcg_at_3
+      value: 20.307
+    - type: ndcg_at_5
+      value: 21.681
+    - type: precision_at_1
+      value: 18.182000000000002
+    - type: precision_at_10
+      value: 4.486
+    - type: precision_at_100
+      value: 0.907
+    - type: precision_at_1000
+      value: 0.17500000000000002
+    - type: precision_at_20
+      value: 2.727
+    - type: precision_at_3
+      value: 9.684
+    - type: precision_at_5
+      value: 7.074999999999999
+    - type: recall_at_1
+      value: 14.435999999999998
+    - type: recall_at_10
+      value: 30.221999999999998
+    - type: recall_at_100
+      value: 50.657
+    - type: recall_at_1000
+      value: 77.803
+    - type: recall_at_20
+      value: 34.044999999999995
+    - type: recall_at_3
+      value: 21.394
+    - type: recall_at_5
+      value: 25.058000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 8.078000000000001
+    - type: map_at_10
+      value: 12.43
+    - type: map_at_100
+      value: 13.242999999999999
+    - type: map_at_1000
+      value: 13.34
+    - type: map_at_20
+      value: 12.767999999999999
+    - type: map_at_3
+      value: 11.085
+    - type: map_at_5
+      value: 11.727
+    - type: mrr_at_1
+      value: 9.057
+    - type: mrr_at_10
+      value: 13.885
+    - type: mrr_at_100
+      value: 14.697
+    - type: mrr_at_1000
+      value: 14.785
+    - type: mrr_at_20
+      value: 14.216999999999999
+    - type: mrr_at_3
+      value: 12.415
+    - type: mrr_at_5
+      value: 13.108
+    - type: ndcg_at_1
+      value: 9.057
+    - type: ndcg_at_10
+      value: 15.299
+    - type: ndcg_at_100
+      value: 19.872
+    - type: ndcg_at_1000
+      value: 22.903000000000002
+    - type: ndcg_at_20
+      value: 16.525000000000002
+    - type: ndcg_at_3
+      value: 12.477
+    - type: ndcg_at_5
+      value: 13.605
+    - type: precision_at_1
+      value: 9.057
+    - type: precision_at_10
+      value: 2.643
+    - type: precision_at_100
+      value: 0.525
+    - type: precision_at_1000
+      value: 0.084
+    - type: precision_at_20
+      value: 1.599
+    - type: precision_at_3
+      value: 5.7299999999999995
+    - type: precision_at_5
+      value: 4.104
+    - type: recall_at_1
+      value: 8.078000000000001
+    - type: recall_at_10
+      value: 22.874
+    - type: recall_at_100
+      value: 45.043
+    - type: recall_at_1000
+      value: 68.77799999999999
+    - type: recall_at_20
+      value: 27.662
+    - type: recall_at_3
+      value: 14.926
+    - type: recall_at_5
+      value: 17.791
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 4.460999999999999
+    - type: map_at_10
+      value: 8.625
+    - type: map_at_100
+      value: 9.772
+    - type: map_at_1000
+      value: 9.952
+    - type: map_at_20
+      value: 9.133
+    - type: map_at_3
+      value: 6.961
+    - type: map_at_5
+      value: 7.727
+    - type: mrr_at_1
+      value: 9.381
+    - type: mrr_at_10
+      value: 16.742
+    - type: mrr_at_100
+      value: 17.901
+    - type: mrr_at_1000
+      value: 17.983
+    - type: mrr_at_20
+      value: 17.368
+    - type: mrr_at_3
+      value: 14.126
+    - type: mrr_at_5
+      value: 15.504000000000001
+    - type: ndcg_at_1
+      value: 9.381
+    - type: ndcg_at_10
+      value: 13.111
+    - type: ndcg_at_100
+      value: 19.043
+    - type: ndcg_at_1000
+      value: 22.901
+    - type: ndcg_at_20
+      value: 14.909
+    - type: ndcg_at_3
+      value: 9.727
+    - type: ndcg_at_5
+      value: 10.91
+    - type: precision_at_1
+      value: 9.381
+    - type: precision_at_10
+      value: 4.391
+    - type: precision_at_100
+      value: 1.075
+    - type: precision_at_1000
+      value: 0.178
+    - type: precision_at_20
+      value: 2.9739999999999998
+    - type: precision_at_3
+      value: 7.448
+    - type: precision_at_5
+      value: 5.954000000000001
+    - type: recall_at_1
+      value: 4.460999999999999
+    - type: recall_at_10
+      value: 17.657999999999998
+    - type: recall_at_100
+      value: 39.201
+    - type: recall_at_1000
+      value: 61.229
+    - type: recall_at_20
+      value: 22.758
+    - type: recall_at_3
+      value: 9.724
+    - type: recall_at_5
+      value: 12.651000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 5.849
+    - type: map_at_10
+      value: 12.828999999999999
+    - type: map_at_100
+      value: 17.204
+    - type: map_at_1000
+      value: 18.314
+    - type: map_at_20
+      value: 14.607000000000001
+    - type: map_at_3
+      value: 9.442
+    - type: map_at_5
+      value: 10.808
+    - type: mrr_at_1
+      value: 48.75
+    - type: mrr_at_10
+      value: 59.82300000000001
+    - type: mrr_at_100
+      value: 60.293
+    - type: mrr_at_1000
+      value: 60.307
+    - type: mrr_at_20
+      value: 60.131
+    - type: mrr_at_3
+      value: 57.208000000000006
+    - type: mrr_at_5
+      value: 58.583
+    - type: ndcg_at_1
+      value: 36.875
+    - type: ndcg_at_10
+      value: 29.328
+    - type: ndcg_at_100
+      value: 32.2
+    - type: ndcg_at_1000
+      value: 39.125
+    - type: ndcg_at_20
+      value: 28.674
+    - type: ndcg_at_3
+      value: 32.469
+    - type: ndcg_at_5
+      value: 30.613
+    - type: precision_at_1
+      value: 48.75
+    - type: precision_at_10
+      value: 24.099999999999998
+    - type: precision_at_100
+      value: 7.292999999999999
+    - type: precision_at_1000
+      value: 1.486
+    - type: precision_at_20
+      value: 17.812
+    - type: precision_at_3
+      value: 37.167
+    - type: precision_at_5
+      value: 31.1
+    - type: recall_at_1
+      value: 5.849
+    - type: recall_at_10
+      value: 18.473
+    - type: recall_at_100
+      value: 37.602000000000004
+    - type: recall_at_1000
+      value: 60.68599999999999
+    - type: recall_at_20
+      value: 23.552
+    - type: recall_at_3
+      value: 11.077
+    - type: recall_at_5
+      value: 13.511999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 46.78
+    - type: f1
+      value: 40.027922341568576
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 21.675
+    - type: map_at_10
+      value: 30.4
+    - type: map_at_100
+      value: 31.285
+    - type: map_at_1000
+      value: 31.351000000000003
+    - type: map_at_20
+      value: 30.917
+    - type: map_at_3
+      value: 27.748
+    - type: map_at_5
+      value: 29.265
+    - type: mrr_at_1
+      value: 23.327
+    - type: mrr_at_10
+      value: 32.363
+    - type: mrr_at_100
+      value: 33.237
+    - type: mrr_at_1000
+      value: 33.298
+    - type: mrr_at_20
+      value: 32.883
+    - type: mrr_at_3
+      value: 29.665000000000003
+    - type: mrr_at_5
+      value: 31.230999999999998
+    - type: ndcg_at_1
+      value: 23.327
+    - type: ndcg_at_10
+      value: 35.576
+    - type: ndcg_at_100
+      value: 40.071
+    - type: ndcg_at_1000
+      value: 41.884
+    - type: ndcg_at_20
+      value: 37.431
+    - type: ndcg_at_3
+      value: 30.173
+    - type: ndcg_at_5
+      value: 32.883
+    - type: precision_at_1
+      value: 23.327
+    - type: precision_at_10
+      value: 5.438
+    - type: precision_at_100
+      value: 0.784
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_20
+      value: 3.121
+    - type: precision_at_3
+      value: 12.741
+    - type: precision_at_5
+      value: 9.078999999999999
+    - type: recall_at_1
+      value: 21.675
+    - type: recall_at_10
+      value: 49.952999999999996
+    - type: recall_at_100
+      value: 70.953
+    - type: recall_at_1000
+      value: 84.902
+    - type: recall_at_20
+      value: 57.081
+    - type: recall_at_3
+      value: 35.301
+    - type: recall_at_5
+      value: 41.805
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 3.096
+    - type: map_at_10
+      value: 5.4879999999999995
+    - type: map_at_100
+      value: 6.199000000000001
+    - type: map_at_1000
+      value: 6.348
+    - type: map_at_20
+      value: 5.826
+    - type: map_at_3
+      value: 4.43
+    - type: map_at_5
+      value: 4.899
+    - type: mrr_at_1
+      value: 6.481000000000001
+    - type: mrr_at_10
+      value: 10.059999999999999
+    - type: mrr_at_100
+      value: 10.905
+    - type: mrr_at_1000
+      value: 11.019
+    - type: mrr_at_20
+      value: 10.513
+    - type: mrr_at_3
+      value: 8.436
+    - type: mrr_at_5
+      value: 9.168999999999999
+    - type: ndcg_at_1
+      value: 6.481000000000001
+    - type: ndcg_at_10
+      value: 8.097999999999999
+    - type: ndcg_at_100
+      value: 12.092
+    - type: ndcg_at_1000
+      value: 16.5
+    - type: ndcg_at_20
+      value: 9.353
+    - type: ndcg_at_3
+      value: 6.148
+    - type: ndcg_at_5
+      value: 6.714
+    - type: precision_at_1
+      value: 6.481000000000001
+    - type: precision_at_10
+      value: 2.5309999999999997
+    - type: precision_at_100
+      value: 0.6479999999999999
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_20
+      value: 1.752
+    - type: precision_at_3
+      value: 4.064
+    - type: precision_at_5
+      value: 3.272
+    - type: recall_at_1
+      value: 3.096
+    - type: recall_at_10
+      value: 11.575000000000001
+    - type: recall_at_100
+      value: 27.560000000000002
+    - type: recall_at_1000
+      value: 56.391999999999996
+    - type: recall_at_20
+      value: 15.611
+    - type: recall_at_3
+      value: 5.821
+    - type: recall_at_5
+      value: 7.6259999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 27.481
+    - type: map_at_10
+      value: 38.229
+    - type: map_at_100
+      value: 39.186
+    - type: map_at_1000
+      value: 39.283
+    - type: map_at_20
+      value: 38.763999999999996
+    - type: map_at_3
+      value: 35.652
+    - type: map_at_5
+      value: 37.18
+    - type: mrr_at_1
+      value: 54.962999999999994
+    - type: mrr_at_10
+      value: 62.651999999999994
+    - type: mrr_at_100
+      value: 63.158
+    - type: mrr_at_1000
+      value: 63.18899999999999
+    - type: mrr_at_20
+      value: 62.965
+    - type: mrr_at_3
+      value: 61.013
+    - type: mrr_at_5
+      value: 62.004999999999995
+    - type: ndcg_at_1
+      value: 54.962999999999994
+    - type: ndcg_at_10
+      value: 47.03
+    - type: ndcg_at_100
+      value: 50.938
+    - type: ndcg_at_1000
+      value: 53.028
+    - type: ndcg_at_20
+      value: 48.571999999999996
+    - type: ndcg_at_3
+      value: 42.751
+    - type: ndcg_at_5
+      value: 44.981
+    - type: precision_at_1
+      value: 54.962999999999994
+    - type: precision_at_10
+      value: 9.919
+    - type: precision_at_100
+      value: 1.302
+    - type: precision_at_1000
+      value: 0.158
+    - type: precision_at_20
+      value: 5.4559999999999995
+    - type: precision_at_3
+      value: 26.671
+    - type: precision_at_5
+      value: 17.764
+    - type: recall_at_1
+      value: 27.481
+    - type: recall_at_10
+      value: 49.595
+    - type: recall_at_100
+      value: 65.078
+    - type: recall_at_1000
+      value: 79.001
+    - type: recall_at_20
+      value: 54.564
+    - type: recall_at_3
+      value: 40.007
+    - type: recall_at_5
+      value: 44.409
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 74.5976
+    - type: ap
+      value: 68.90030024726627
+    - type: f1
+      value: 74.44139933523756
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 9.392
+    - type: map_at_10
+      value: 15.858
+    - type: map_at_100
+      value: 16.821
+    - type: map_at_1000
+      value: 16.916999999999998
+    - type: map_at_20
+      value: 16.378
+    - type: map_at_3
+      value: 13.627
+    - type: map_at_5
+      value: 14.837
+    - type: mrr_at_1
+      value: 9.642000000000001
+    - type: mrr_at_10
+      value: 16.189999999999998
+    - type: mrr_at_100
+      value: 17.149
+    - type: mrr_at_1000
+      value: 17.241
+    - type: mrr_at_20
+      value: 16.712
+    - type: mrr_at_3
+      value: 13.94
+    - type: mrr_at_5
+      value: 15.173
+    - type: ndcg_at_1
+      value: 9.642000000000001
+    - type: ndcg_at_10
+      value: 19.798
+    - type: ndcg_at_100
+      value: 24.93
+    - type: ndcg_at_1000
+      value: 27.723
+    - type: ndcg_at_20
+      value: 21.676000000000002
+    - type: ndcg_at_3
+      value: 15.135000000000002
+    - type: ndcg_at_5
+      value: 17.323
+    - type: precision_at_1
+      value: 9.642000000000001
+    - type: precision_at_10
+      value: 3.335
+    - type: precision_at_100
+      value: 0.597
+    - type: precision_at_1000
+      value: 0.084
+    - type: precision_at_20
+      value: 2.052
+    - type: precision_at_3
+      value: 6.585000000000001
+    - type: precision_at_5
+      value: 5.0569999999999995
+    - type: recall_at_1
+      value: 9.392
+    - type: recall_at_10
+      value: 32.074000000000005
+    - type: recall_at_100
+      value: 56.816
+    - type: recall_at_1000
+      value: 79.107
+    - type: recall_at_20
+      value: 39.404
+    - type: recall_at_3
+      value: 19.211
+    - type: recall_at_5
+      value: 24.476
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 88.23529411764707
+    - type: f1
+      value: 87.7087794539205
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 54.9361605107159
+    - type: f1
+      value: 37.32757786855856
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 62.269670477471415
+    - type: f1
+      value: 59.31689853710541
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 68.21788836583724
+    - type: f1
+      value: 67.10588384512401
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 28.23811395981688
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 25.338025048309298
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.27968813284564
+    - type: mrr
+      value: 31.192897822243165
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 2.8930000000000002
+    - type: map_at_10
+      value: 5.63
+    - type: map_at_100
+      value: 6.981999999999999
+    - type: map_at_1000
+      value: 7.99
+    - type: map_at_20
+      value: 6.165
+    - type: map_at_3
+      value: 4.466
+    - type: map_at_5
+      value: 4.885
+    - type: mrr_at_1
+      value: 27.245
+    - type: mrr_at_10
+      value: 34.952
+    - type: mrr_at_100
+      value: 35.83
+    - type: mrr_at_1000
+      value: 35.892
+    - type: mrr_at_20
+      value: 35.464
+    - type: mrr_at_3
+      value: 32.611000000000004
+    - type: mrr_at_5
+      value: 33.725
+    - type: ndcg_at_1
+      value: 25.697
+    - type: ndcg_at_10
+      value: 18.746
+    - type: ndcg_at_100
+      value: 17.613
+    - type: ndcg_at_1000
+      value: 26.698
+    - type: ndcg_at_20
+      value: 17.607
+    - type: ndcg_at_3
+      value: 22.163
+    - type: ndcg_at_5
+      value: 20.497
+    - type: precision_at_1
+      value: 26.625
+    - type: precision_at_10
+      value: 13.437
+    - type: precision_at_100
+      value: 4.805000000000001
+    - type: precision_at_1000
+      value: 1.733
+    - type: precision_at_20
+      value: 10.17
+    - type: precision_at_3
+      value: 20.433
+    - type: precision_at_5
+      value: 17.214
+    - type: recall_at_1
+      value: 2.8930000000000002
+    - type: recall_at_10
+      value: 8.731
+    - type: recall_at_100
+      value: 19.236
+    - type: recall_at_1000
+      value: 50.632
+    - type: recall_at_20
+      value: 11.402
+    - type: recall_at_3
+      value: 5.207
+    - type: recall_at_5
+      value: 6.021
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 10.116999999999999
+    - type: map_at_10
+      value: 18.062
+    - type: map_at_100
+      value: 19.276
+    - type: map_at_1000
+      value: 19.366
+    - type: map_at_20
+      value: 18.719
+    - type: map_at_3
+      value: 15.018999999999998
+    - type: map_at_5
+      value: 16.659
+    - type: mrr_at_1
+      value: 11.587
+    - type: mrr_at_10
+      value: 19.75
+    - type: mrr_at_100
+      value: 20.855
+    - type: mrr_at_1000
+      value: 20.929000000000002
+    - type: mrr_at_20
+      value: 20.377000000000002
+    - type: mrr_at_3
+      value: 16.733999999999998
+    - type: mrr_at_5
+      value: 18.422
+    - type: ndcg_at_1
+      value: 11.559
+    - type: ndcg_at_10
+      value: 23.25
+    - type: ndcg_at_100
+      value: 29.364
+    - type: ndcg_at_1000
+      value: 31.775
+    - type: ndcg_at_20
+      value: 25.56
+    - type: ndcg_at_3
+      value: 17.052
+    - type: ndcg_at_5
+      value: 19.98
+    - type: precision_at_1
+      value: 11.559
+    - type: precision_at_10
+      value: 4.447
+    - type: precision_at_100
+      value: 0.796
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_20
+      value: 2.762
+    - type: precision_at_3
+      value: 8.14
+    - type: precision_at_5
+      value: 6.524000000000001
+    - type: recall_at_1
+      value: 10.116999999999999
+    - type: recall_at_10
+      value: 37.736999999999995
+    - type: recall_at_100
+      value: 65.998
+    - type: recall_at_1000
+      value: 84.533
+    - type: recall_at_20
+      value: 46.43
+    - type: recall_at_3
+      value: 21.282
+    - type: recall_at_5
+      value: 28.1
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+    metrics:
+    - type: map_at_1
+      value: 64.706
+    - type: map_at_10
+      value: 77.777
+    - type: map_at_100
+      value: 78.509
+    - type: map_at_1000
+      value: 78.537
+    - type: map_at_20
+      value: 78.237
+    - type: map_at_3
+      value: 74.802
+    - type: map_at_5
+      value: 76.655
+    - type: mrr_at_1
+      value: 74.62
+    - type: mrr_at_10
+      value: 81.817
+    - type: mrr_at_100
+      value: 82.021
+    - type: mrr_at_1000
+      value: 82.025
+    - type: mrr_at_20
+      value: 81.962
+    - type: mrr_at_3
+      value: 80.452
+    - type: mrr_at_5
+      value: 81.352
+    - type: ndcg_at_1
+      value: 74.64
+    - type: ndcg_at_10
+      value: 82.30499999999999
+    - type: ndcg_at_100
+      value: 84.21
+    - type: ndcg_at_1000
+      value: 84.505
+    - type: ndcg_at_20
+      value: 83.255
+    - type: ndcg_at_3
+      value: 78.851
+    - type: ndcg_at_5
+      value: 80.72200000000001
+    - type: precision_at_1
+      value: 74.64
+    - type: precision_at_10
+      value: 12.457
+    - type: precision_at_100
+      value: 1.473
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_20
+      value: 6.677
+    - type: precision_at_3
+      value: 34.29
+    - type: precision_at_5
+      value: 22.7
+    - type: recall_at_1
+      value: 64.706
+    - type: recall_at_10
+      value: 91.01
+    - type: recall_at_100
+      value: 98.039
+    - type: recall_at_1000
+      value: 99.66000000000001
+    - type: recall_at_20
+      value: 94.184
+    - type: recall_at_3
+      value: 81.12700000000001
+    - type: recall_at_5
+      value: 86.319
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 35.92118583596968
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+    metrics:
+    - type: v_measure
+      value: 46.08479450077311
+    - type: v_measures
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+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+    metrics:
+    - type: map_at_1
+      value: 2.823
+    - type: map_at_10
+      value: 6.162999999999999
+    - type: map_at_100
+      value: 7.462000000000001
+    - type: map_at_1000
+      value: 7.707
+    - type: map_at_20
+      value: 6.7989999999999995
+    - type: map_at_3
+      value: 4.614
+    - type: map_at_5
+      value: 5.221
+    - type: mrr_at_1
+      value: 13.8
+    - type: mrr_at_10
+      value: 20.317
+    - type: mrr_at_100
+      value: 21.495
+    - type: mrr_at_1000
+      value: 21.609
+    - type: mrr_at_20
+      value: 21.038999999999998
+    - type: mrr_at_3
+      value: 17.916999999999998
+    - type: mrr_at_5
+      value: 19.047
+    - type: ndcg_at_1
+      value: 13.8
+    - type: ndcg_at_10
+      value: 11.124
+    - type: ndcg_at_100
+      value: 17.058
+    - type: ndcg_at_1000
+      value: 22.584
+    - type: ndcg_at_20
+      value: 13.165
+    - type: ndcg_at_3
+      value: 10.453999999999999
+    - type: ndcg_at_5
+      value: 8.844000000000001
+    - type: precision_at_1
+      value: 13.8
+    - type: precision_at_10
+      value: 5.800000000000001
+    - type: precision_at_100
+      value: 1.443
+    - type: precision_at_1000
+      value: 0.27899999999999997
+    - type: precision_at_20
+      value: 4.08
+    - type: precision_at_3
+      value: 9.5
+    - type: precision_at_5
+      value: 7.42
+    - type: recall_at_1
+      value: 2.823
+    - type: recall_at_10
+      value: 11.790000000000001
+    - type: recall_at_100
+      value: 29.282000000000004
+    - type: recall_at_1000
+      value: 56.720000000000006
+    - type: recall_at_20
+      value: 16.54
+    - type: recall_at_3
+      value: 5.808
+    - type: recall_at_5
+      value: 7.548000000000001
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.35546558185588
+    - type: cos_sim_spearman
+      value: 78.23859592249686
+    - type: euclidean_pearson
+      value: 79.98024519769696
+    - type: euclidean_spearman
+      value: 78.23859183509182
+    - type: manhattan_pearson
+      value: 79.89939470434149
+    - type: manhattan_spearman
+      value: 78.14002412024936
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.77892045885623
+    - type: cos_sim_spearman
+      value: 75.1886741501174
+    - type: euclidean_pearson
+      value: 79.25545188379738
+    - type: euclidean_spearman
+      value: 75.18638344905548
+    - type: manhattan_pearson
+      value: 79.22653149623625
+    - type: manhattan_spearman
+      value: 75.27810415336305
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.0780386627305
+    - type: cos_sim_spearman
+      value: 79.33304952540263
+    - type: euclidean_pearson
+      value: 78.8995877109086
+    - type: euclidean_spearman
+      value: 79.33304952540263
+    - type: manhattan_pearson
+      value: 78.53767885744242
+    - type: manhattan_spearman
+      value: 78.98963272082919
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.40102517193851
+    - type: cos_sim_spearman
+      value: 76.56213113240312
+    - type: euclidean_pearson
+      value: 77.28763789251809
+    - type: euclidean_spearman
+      value: 76.56214567337607
+    - type: manhattan_pearson
+      value: 77.07003484382906
+    - type: manhattan_spearman
+      value: 76.42170507923466
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.08619018791619
+    - type: cos_sim_spearman
+      value: 84.7000298638952
+    - type: euclidean_pearson
+      value: 84.45835118534818
+    - type: euclidean_spearman
+      value: 84.7000136316961
+    - type: manhattan_pearson
+      value: 84.49026098485562
+    - type: manhattan_spearman
+      value: 84.7341511290005
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.16153099155702
+    - type: cos_sim_spearman
+      value: 81.43851932231388
+    - type: euclidean_pearson
+      value: 80.64566170494548
+    - type: euclidean_spearman
+      value: 81.43851888295582
+    - type: manhattan_pearson
+      value: 80.60043965519766
+    - type: manhattan_spearman
+      value: 81.39436114361187
+  - 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: 85.79691929686385
+    - type: cos_sim_spearman
+      value: 86.61476790521185
+    - type: euclidean_pearson
+      value: 87.19188107234186
+    - type: euclidean_spearman
+      value: 86.61476790521185
+    - type: manhattan_pearson
+      value: 87.1048361434476
+    - type: manhattan_spearman
+      value: 86.62564632760721
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 57.47315801345834
+    - type: cos_sim_spearman
+      value: 63.42561529682427
+    - type: euclidean_pearson
+      value: 61.72162209797075
+    - type: euclidean_spearman
+      value: 63.42561529682427
+    - type: manhattan_pearson
+      value: 61.90168887814704
+    - type: manhattan_spearman
+      value: 63.750754243527155
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.85854385132735
+    - type: cos_sim_spearman
+      value: 81.7934403165178
+    - type: euclidean_pearson
+      value: 81.76737446129472
+    - type: euclidean_spearman
+      value: 81.79344583519841
+    - type: manhattan_pearson
+      value: 81.51600708713269
+    - type: manhattan_spearman
+      value: 81.5208648976934
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.47725483163819
+    - type: mrr
+      value: 91.68947066005887
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 36.75
+    - type: map_at_10
+      value: 45.448
+    - type: map_at_100
+      value: 46.25
+    - type: map_at_1000
+      value: 46.333
+    - type: map_at_20
+      value: 45.965
+    - type: map_at_3
+      value: 42.848000000000006
+    - type: map_at_5
+      value: 44.098
+    - type: mrr_at_1
+      value: 39.0
+    - type: mrr_at_10
+      value: 46.916000000000004
+    - type: mrr_at_100
+      value: 47.61
+    - type: mrr_at_1000
+      value: 47.684
+    - type: mrr_at_20
+      value: 47.402
+    - type: mrr_at_3
+      value: 44.667
+    - type: mrr_at_5
+      value: 45.867000000000004
+    - type: ndcg_at_1
+      value: 39.0
+    - type: ndcg_at_10
+      value: 50.241
+    - type: ndcg_at_100
+      value: 53.701
+    - type: ndcg_at_1000
+      value: 55.84
+    - type: ndcg_at_20
+      value: 52.022
+    - type: ndcg_at_3
+      value: 45.248
+    - type: ndcg_at_5
+      value: 47.332
+    - type: precision_at_1
+      value: 39.0
+    - type: precision_at_10
+      value: 7.199999999999999
+    - type: precision_at_100
+      value: 0.903
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_20
+      value: 3.9829999999999997
+    - type: precision_at_3
+      value: 18.333
+    - type: precision_at_5
+      value: 12.2
+    - type: recall_at_1
+      value: 36.75
+    - type: recall_at_10
+      value: 63.62799999999999
+    - type: recall_at_100
+      value: 78.85600000000001
+    - type: recall_at_1000
+      value: 95.6
+    - type: recall_at_20
+      value: 70.489
+    - type: recall_at_3
+      value: 49.928
+    - type: recall_at_5
+      value: 55.161
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.68514851485149
+    - type: cos_sim_ap
+      value: 89.84995835652664
+    - type: cos_sim_f1
+      value: 83.54037267080744
+    - type: cos_sim_precision
+      value: 86.58798283261802
+    - type: cos_sim_recall
+      value: 80.7
+    - type: dot_accuracy
+      value: 99.68514851485149
+    - type: dot_ap
+      value: 89.84995822010269
+    - type: dot_f1
+      value: 83.54037267080744
+    - type: dot_precision
+      value: 86.58798283261802
+    - type: dot_recall
+      value: 80.7
+    - type: euclidean_accuracy
+      value: 99.68514851485149
+    - type: euclidean_ap
+      value: 89.84995835652664
+    - type: euclidean_f1
+      value: 83.54037267080744
+    - type: euclidean_precision
+      value: 86.58798283261802
+    - type: euclidean_recall
+      value: 80.7
+    - type: manhattan_accuracy
+      value: 99.69504950495049
+    - type: manhattan_ap
+      value: 90.15934028795763
+    - type: manhattan_f1
+      value: 84.10256410256412
+    - type: manhattan_precision
+      value: 86.31578947368422
+    - type: manhattan_recall
+      value: 82.0
+    - type: max_accuracy
+      value: 99.69504950495049
+    - type: max_ap
+      value: 90.15934028795763
+    - type: max_f1
+      value: 84.10256410256412
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 45.30526182881455
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 29.907825848421005
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 42.29730951798082
+    - type: mrr
+      value: 42.927117816823696
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.06400884629347
+    - type: cos_sim_spearman
+      value: 30.706758615234286
+    - type: dot_pearson
+      value: 31.064025024903586
+    - type: dot_spearman
+      value: 30.70979367079321
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+    metrics:
+    - type: map_at_1
+      value: 0.131
+    - type: map_at_10
+      value: 0.699
+    - type: map_at_100
+      value: 2.7279999999999998
+    - type: map_at_1000
+      value: 6.349
+    - type: map_at_20
+      value: 1.0999999999999999
+    - type: map_at_3
+      value: 0.292
+    - type: map_at_5
+      value: 0.422
+    - type: mrr_at_1
+      value: 48.0
+    - type: mrr_at_10
+      value: 56.233
+    - type: mrr_at_100
+      value: 57.57600000000001
+    - type: mrr_at_1000
+      value: 57.582
+    - type: mrr_at_20
+      value: 57.17100000000001
+    - type: mrr_at_3
+      value: 54.333
+    - type: mrr_at_5
+      value: 56.033
+    - type: ndcg_at_1
+      value: 44.0
+    - type: ndcg_at_10
+      value: 35.736000000000004
+    - type: ndcg_at_100
+      value: 23.53
+    - type: ndcg_at_1000
+      value: 20.848
+    - type: ndcg_at_20
+      value: 32.458
+    - type: ndcg_at_3
+      value: 40.765
+    - type: ndcg_at_5
+      value: 38.32
+    - type: precision_at_1
+      value: 48.0
+    - type: precision_at_10
+      value: 37.0
+    - type: precision_at_100
+      value: 23.44
+    - type: precision_at_1000
+      value: 9.754
+    - type: precision_at_20
+      value: 33.300000000000004
+    - type: precision_at_3
+      value: 42.667
+    - type: precision_at_5
+      value: 40.400000000000006
+    - type: recall_at_1
+      value: 0.131
+    - type: recall_at_10
+      value: 0.8789999999999999
+    - type: recall_at_100
+      value: 4.9590000000000005
+    - type: recall_at_1000
+      value: 19.534000000000002
+    - type: recall_at_20
+      value: 1.539
+    - type: recall_at_3
+      value: 0.314
+    - type: recall_at_5
+      value: 0.484
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 1.175
+    - type: map_at_10
+      value: 2.59
+    - type: map_at_100
+      value: 3.3169999999999997
+    - type: map_at_1000
+      value: 3.7449999999999997
+    - type: map_at_20
+      value: 2.881
+    - type: map_at_3
+      value: 1.76
+    - type: map_at_5
+      value: 2.2030000000000003
+    - type: mrr_at_1
+      value: 16.326999999999998
+    - type: mrr_at_10
+      value: 24.189
+    - type: mrr_at_100
+      value: 25.686999999999998
+    - type: mrr_at_1000
+      value: 25.743
+    - type: mrr_at_20
+      value: 24.937
+    - type: mrr_at_3
+      value: 22.448999999999998
+    - type: mrr_at_5
+      value: 23.366999999999997
+    - type: ndcg_at_1
+      value: 14.285999999999998
+    - type: ndcg_at_10
+      value: 8.001999999999999
+    - type: ndcg_at_100
+      value: 10.833
+    - type: ndcg_at_1000
+      value: 18.258
+    - type: ndcg_at_20
+      value: 7.707999999999999
+    - type: ndcg_at_3
+      value: 11.213
+    - type: ndcg_at_5
+      value: 9.934
+    - type: precision_at_1
+      value: 16.326999999999998
+    - type: precision_at_10
+      value: 7.3469999999999995
+    - type: precision_at_100
+      value: 2.4899999999999998
+    - type: precision_at_1000
+      value: 0.7100000000000001
+    - type: precision_at_20
+      value: 5.408
+    - type: precision_at_3
+      value: 12.925
+    - type: precision_at_5
+      value: 10.612
+    - type: recall_at_1
+      value: 1.175
+    - type: recall_at_10
+      value: 4.596
+    - type: recall_at_100
+      value: 14.41
+    - type: recall_at_1000
+      value: 39.294000000000004
+    - type: recall_at_20
+      value: 6.436999999999999
+    - type: recall_at_3
+      value: 2.367
+    - type: recall_at_5
+      value: 3.3230000000000004
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 65.1513671875
+    - type: ap
+      value: 12.303071109448203
+    - type: f1
+      value: 50.43533728860237
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.5438596491228
+    - type: f1
+      value: 62.69763355089073
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 31.692515423088473
+    - type: v_measures
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+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.00190737318948
+    - type: cos_sim_ap
+      value: 67.48296380006165
+    - type: cos_sim_f1
+      value: 62.996718920889535
+    - type: cos_sim_precision
+      value: 58.39152962378914
+    - type: cos_sim_recall
+      value: 68.3905013192612
+    - type: dot_accuracy
+      value: 84.00190737318948
+    - type: dot_ap
+      value: 67.48295942427862
+    - type: dot_f1
+      value: 62.996718920889535
+    - type: dot_precision
+      value: 58.39152962378914
+    - type: dot_recall
+      value: 68.3905013192612
+    - type: euclidean_accuracy
+      value: 84.00190737318948
+    - type: euclidean_ap
+      value: 67.482961801317
+    - type: euclidean_f1
+      value: 62.996718920889535
+    - type: euclidean_precision
+      value: 58.39152962378914
+    - type: euclidean_recall
+      value: 68.3905013192612
+    - type: manhattan_accuracy
+      value: 83.94826250223521
+    - type: manhattan_ap
+      value: 67.32115101507013
+    - type: manhattan_f1
+      value: 62.665684830633275
+    - type: manhattan_precision
+      value: 58.5819183111519
+    - type: manhattan_recall
+      value: 67.36147757255937
+    - type: max_accuracy
+      value: 84.00190737318948
+    - type: max_ap
+      value: 67.48296380006165
+    - type: max_f1
+      value: 62.996718920889535
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.30286800946948
+    - type: cos_sim_ap
+      value: 84.5306725053528
+    - type: cos_sim_f1
+      value: 76.5947752126367
+    - type: cos_sim_precision
+      value: 75.56188192987715
+    - type: cos_sim_recall
+      value: 77.65629812134279
+    - type: dot_accuracy
+      value: 88.30286800946948
+    - type: dot_ap
+      value: 84.53066920468329
+    - type: dot_f1
+      value: 76.5947752126367
+    - type: dot_precision
+      value: 75.56188192987715
+    - type: dot_recall
+      value: 77.65629812134279
+    - type: euclidean_accuracy
+      value: 88.30286800946948
+    - type: euclidean_ap
+      value: 84.53066432305307
+    - type: euclidean_f1
+      value: 76.5947752126367
+    - type: euclidean_precision
+      value: 75.56188192987715
+    - type: euclidean_recall
+      value: 77.65629812134279
+    - type: manhattan_accuracy
+      value: 88.39795086738852
+    - type: manhattan_ap
+      value: 84.51446339083833
+    - type: manhattan_f1
+      value: 76.57867106644667
+    - type: manhattan_precision
+      value: 74.64181286549709
+    - type: manhattan_recall
+      value: 78.61872497690176
+    - type: max_accuracy
+      value: 88.39795086738852
+    - type: max_ap
+      value: 84.5306725053528
+    - type: max_f1
+      value: 76.5947752126367
 ---
 # Wartortle