diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -15,6 +15,2024 @@ base_model:
 - Mihaiii/Wartortle
 - TaylorAI/bge-micro-v2
 - TaylorAI/bge-micro
+model-index:
+- name: Kyurem
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 66.83582089552239
+    - type: ap
+      value: 29.376874523513568
+    - type: f1
+      value: 60.66923695285069
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 70.484925
+    - type: ap
+      value: 64.8627321394567
+    - type: f1
+      value: 70.2682474297364
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 33.652
+    - type: f1
+      value: 33.48200260424572
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 22.404
+    - type: map_at_10
+      value: 36.144999999999996
+    - type: map_at_100
+      value: 37.309
+    - type: map_at_1000
+      value: 37.333
+    - type: map_at_20
+      value: 37.0
+    - type: map_at_3
+      value: 31.105
+    - type: map_at_5
+      value: 34.149
+    - type: mrr_at_1
+      value: 23.186
+    - type: mrr_at_10
+      value: 36.439
+    - type: mrr_at_100
+      value: 37.617
+    - type: mrr_at_1000
+      value: 37.641000000000005
+    - type: mrr_at_20
+      value: 37.308
+    - type: mrr_at_3
+      value: 31.52
+    - type: mrr_at_5
+      value: 34.486
+    - type: ndcg_at_1
+      value: 22.404
+    - type: ndcg_at_10
+      value: 44.346000000000004
+    - type: ndcg_at_100
+      value: 49.594
+    - type: ndcg_at_1000
+      value: 50.183
+    - type: ndcg_at_20
+      value: 47.435
+    - type: ndcg_at_3
+      value: 34.032000000000004
+    - type: ndcg_at_5
+      value: 39.513999999999996
+    - type: precision_at_1
+      value: 22.404
+    - type: precision_at_10
+      value: 7.077
+    - type: precision_at_100
+      value: 0.9440000000000001
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_20
+      value: 4.147
+    - type: precision_at_3
+      value: 14.177000000000001
+    - type: precision_at_5
+      value: 11.166
+    - type: recall_at_1
+      value: 22.404
+    - type: recall_at_10
+      value: 70.768
+    - type: recall_at_100
+      value: 94.381
+    - type: recall_at_1000
+      value: 98.933
+    - type: recall_at_20
+      value: 82.93
+    - type: recall_at_3
+      value: 42.532
+    - type: recall_at_5
+      value: 55.832
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 41.21099868792524
+    - 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: 30.197465353915163
+    - 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: 56.482918023354756
+    - type: mrr
+      value: 71.40625687024578
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.45457865102485
+    - type: cos_sim_spearman
+      value: 80.93979607539022
+    - type: euclidean_pearson
+      value: 80.32159015984955
+    - type: euclidean_spearman
+      value: 80.43857983556106
+    - type: manhattan_pearson
+      value: 79.92848954545586
+    - type: manhattan_spearman
+      value: 80.13375361278035
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 78.03896103896105
+    - type: f1
+      value: 77.95281857082068
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 35.6206528975171
+    - 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: 25.403397653930277
+    - 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: 21.698999999999998
+    - type: map_at_10
+      value: 28.98
+    - type: map_at_100
+      value: 30.364
+    - type: map_at_1000
+      value: 30.516
+    - type: map_at_20
+      value: 29.681
+    - type: map_at_3
+      value: 26.418000000000003
+    - type: map_at_5
+      value: 27.590999999999998
+    - type: mrr_at_1
+      value: 27.325
+    - type: mrr_at_10
+      value: 34.595
+    - type: mrr_at_100
+      value: 35.63
+    - type: mrr_at_1000
+      value: 35.705
+    - type: mrr_at_20
+      value: 35.199000000000005
+    - type: mrr_at_3
+      value: 32.403
+    - type: mrr_at_5
+      value: 33.605000000000004
+    - type: ndcg_at_1
+      value: 27.325
+    - type: ndcg_at_10
+      value: 34.005
+    - type: ndcg_at_100
+      value: 40.031
+    - type: ndcg_at_1000
+      value: 42.962
+    - type: ndcg_at_20
+      value: 36.095
+    - type: ndcg_at_3
+      value: 30.081999999999997
+    - type: ndcg_at_5
+      value: 31.447999999999997
+    - type: precision_at_1
+      value: 27.325
+    - type: precision_at_10
+      value: 6.552
+    - type: precision_at_100
+      value: 1.22
+    - type: precision_at_1000
+      value: 0.17500000000000002
+    - type: precision_at_20
+      value: 4.041
+    - type: precision_at_3
+      value: 14.496999999999998
+    - type: precision_at_5
+      value: 10.242999999999999
+    - type: recall_at_1
+      value: 21.698999999999998
+    - type: recall_at_10
+      value: 43.295
+    - type: recall_at_100
+      value: 69.304
+    - type: recall_at_1000
+      value: 89.241
+    - type: recall_at_20
+      value: 50.856
+    - type: recall_at_3
+      value: 31.230000000000004
+    - type: recall_at_5
+      value: 35.587999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 14.81
+    - type: map_at_10
+      value: 19.692999999999998
+    - type: map_at_100
+      value: 20.535
+    - type: map_at_1000
+      value: 20.643
+    - type: map_at_20
+      value: 20.097
+    - type: map_at_3
+      value: 18.157
+    - type: map_at_5
+      value: 19.006999999999998
+    - type: mrr_at_1
+      value: 17.898
+    - type: mrr_at_10
+      value: 22.719
+    - type: mrr_at_100
+      value: 23.473
+    - type: mrr_at_1000
+      value: 23.547
+    - type: mrr_at_20
+      value: 23.111
+    - type: mrr_at_3
+      value: 21.189
+    - type: mrr_at_5
+      value: 21.934
+    - type: ndcg_at_1
+      value: 17.898
+    - type: ndcg_at_10
+      value: 22.817999999999998
+    - type: ndcg_at_100
+      value: 26.998
+    - type: ndcg_at_1000
+      value: 29.698
+    - type: ndcg_at_20
+      value: 24.123
+    - type: ndcg_at_3
+      value: 20.115
+    - type: ndcg_at_5
+      value: 21.288999999999998
+    - type: precision_at_1
+      value: 17.898
+    - type: precision_at_10
+      value: 4.159
+    - type: precision_at_100
+      value: 0.769
+    - type: precision_at_1000
+      value: 0.123
+    - type: precision_at_20
+      value: 2.506
+    - type: precision_at_3
+      value: 9.406
+    - type: precision_at_5
+      value: 6.688
+    - type: recall_at_1
+      value: 14.81
+    - type: recall_at_10
+      value: 29.049000000000003
+    - type: recall_at_100
+      value: 47.699999999999996
+    - type: recall_at_1000
+      value: 66.43599999999999
+    - type: recall_at_20
+      value: 33.812
+    - type: recall_at_3
+      value: 21.435000000000002
+    - type: recall_at_5
+      value: 24.573999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 25.629
+    - type: map_at_10
+      value: 35.592
+    - type: map_at_100
+      value: 36.663000000000004
+    - type: map_at_1000
+      value: 36.746
+    - type: map_at_20
+      value: 36.15
+    - type: map_at_3
+      value: 32.903
+    - type: map_at_5
+      value: 34.448
+    - type: mrr_at_1
+      value: 29.404000000000003
+    - type: mrr_at_10
+      value: 38.423
+    - type: mrr_at_100
+      value: 39.283
+    - type: mrr_at_1000
+      value: 39.334
+    - type: mrr_at_20
+      value: 38.895
+    - type: mrr_at_3
+      value: 36.134
+    - type: mrr_at_5
+      value: 37.441
+    - type: ndcg_at_1
+      value: 29.404000000000003
+    - type: ndcg_at_10
+      value: 40.814
+    - type: ndcg_at_100
+      value: 45.800999999999995
+    - type: ndcg_at_1000
+      value: 47.721999999999994
+    - type: ndcg_at_20
+      value: 42.576
+    - type: ndcg_at_3
+      value: 35.931999999999995
+    - type: ndcg_at_5
+      value: 38.305
+    - type: precision_at_1
+      value: 29.404000000000003
+    - type: precision_at_10
+      value: 6.802999999999999
+    - type: precision_at_100
+      value: 1.023
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_20
+      value: 3.9059999999999997
+    - type: precision_at_3
+      value: 16.343
+    - type: precision_at_5
+      value: 11.472999999999999
+    - type: recall_at_1
+      value: 25.629
+    - type: recall_at_10
+      value: 53.672
+    - type: recall_at_100
+      value: 76.322
+    - type: recall_at_1000
+      value: 90.231
+    - type: recall_at_20
+      value: 60.19
+    - type: recall_at_3
+      value: 40.454
+    - type: recall_at_5
+      value: 46.237
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 15.157000000000002
+    - type: map_at_10
+      value: 21.04
+    - type: map_at_100
+      value: 21.94
+    - type: map_at_1000
+      value: 22.048000000000002
+    - type: map_at_20
+      value: 21.497
+    - type: map_at_3
+      value: 19.082
+    - type: map_at_5
+      value: 20.252
+    - type: mrr_at_1
+      value: 16.723
+    - type: mrr_at_10
+      value: 22.637999999999998
+    - type: mrr_at_100
+      value: 23.51
+    - type: mrr_at_1000
+      value: 23.602
+    - type: mrr_at_20
+      value: 23.086000000000002
+    - type: mrr_at_3
+      value: 20.716
+    - type: mrr_at_5
+      value: 21.863
+    - type: ndcg_at_1
+      value: 16.723
+    - type: ndcg_at_10
+      value: 24.684
+    - type: ndcg_at_100
+      value: 29.397000000000002
+    - type: ndcg_at_1000
+      value: 32.545
+    - type: ndcg_at_20
+      value: 26.299
+    - type: ndcg_at_3
+      value: 20.809
+    - type: ndcg_at_5
+      value: 22.830000000000002
+    - type: precision_at_1
+      value: 16.723
+    - type: precision_at_10
+      value: 3.932
+    - type: precision_at_100
+      value: 0.661
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_20
+      value: 2.339
+    - type: precision_at_3
+      value: 8.964
+    - type: precision_at_5
+      value: 6.531000000000001
+    - type: recall_at_1
+      value: 15.157000000000002
+    - type: recall_at_10
+      value: 34.552
+    - type: recall_at_100
+      value: 56.629
+    - type: recall_at_1000
+      value: 80.962
+    - type: recall_at_20
+      value: 40.626
+    - type: recall_at_3
+      value: 24.012
+    - type: recall_at_5
+      value: 28.888
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 10.983
+    - type: map_at_10
+      value: 16.149
+    - type: map_at_100
+      value: 17.321
+    - type: map_at_1000
+      value: 17.432
+    - type: map_at_20
+      value: 16.742
+    - type: map_at_3
+      value: 14.524999999999999
+    - type: map_at_5
+      value: 15.357000000000001
+    - type: mrr_at_1
+      value: 13.433
+    - type: mrr_at_10
+      value: 19.508
+    - type: mrr_at_100
+      value: 20.559
+    - type: mrr_at_1000
+      value: 20.64
+    - type: mrr_at_20
+      value: 20.078
+    - type: mrr_at_3
+      value: 17.848
+    - type: mrr_at_5
+      value: 18.657
+    - type: ndcg_at_1
+      value: 13.433
+    - type: ndcg_at_10
+      value: 19.719
+    - type: ndcg_at_100
+      value: 25.689
+    - type: ndcg_at_1000
+      value: 28.907
+    - type: ndcg_at_20
+      value: 21.816
+    - type: ndcg_at_3
+      value: 16.659
+    - type: ndcg_at_5
+      value: 17.877000000000002
+    - type: precision_at_1
+      value: 13.433
+    - type: precision_at_10
+      value: 3.794
+    - type: precision_at_100
+      value: 0.7849999999999999
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_20
+      value: 2.456
+    - type: precision_at_3
+      value: 8.126
+    - type: precision_at_5
+      value: 5.821
+    - type: recall_at_1
+      value: 10.983
+    - type: recall_at_10
+      value: 27.284000000000002
+    - type: recall_at_100
+      value: 54.167
+    - type: recall_at_1000
+      value: 78.131
+    - type: recall_at_20
+      value: 35.012
+    - type: recall_at_3
+      value: 18.557000000000002
+    - type: recall_at_5
+      value: 21.753
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 19.062
+    - type: map_at_10
+      value: 26.586
+    - type: map_at_100
+      value: 27.767999999999997
+    - type: map_at_1000
+      value: 27.904
+    - type: map_at_20
+      value: 27.162999999999997
+    - type: map_at_3
+      value: 23.751
+    - type: map_at_5
+      value: 25.320999999999998
+    - type: mrr_at_1
+      value: 23.388
+    - type: mrr_at_10
+      value: 31.291999999999998
+    - type: mrr_at_100
+      value: 32.196000000000005
+    - type: mrr_at_1000
+      value: 32.269999999999996
+    - type: mrr_at_20
+      value: 31.752000000000002
+    - type: mrr_at_3
+      value: 28.681
+    - type: mrr_at_5
+      value: 30.168
+    - type: ndcg_at_1
+      value: 23.388
+    - type: ndcg_at_10
+      value: 31.741999999999997
+    - type: ndcg_at_100
+      value: 37.279
+    - type: ndcg_at_1000
+      value: 40.199
+    - type: ndcg_at_20
+      value: 33.566
+    - type: ndcg_at_3
+      value: 26.858999999999998
+    - type: ndcg_at_5
+      value: 29.165000000000003
+    - type: precision_at_1
+      value: 23.388
+    - type: precision_at_10
+      value: 6.0249999999999995
+    - type: precision_at_100
+      value: 1.056
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_20
+      value: 3.614
+    - type: precision_at_3
+      value: 12.737000000000002
+    - type: precision_at_5
+      value: 9.471
+    - type: recall_at_1
+      value: 19.062
+    - type: recall_at_10
+      value: 42.549
+    - type: recall_at_100
+      value: 66.708
+    - type: recall_at_1000
+      value: 86.7
+    - type: recall_at_20
+      value: 48.991
+    - type: recall_at_3
+      value: 29.024
+    - type: recall_at_5
+      value: 34.885
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 13.578000000000001
+    - type: map_at_10
+      value: 19.436
+    - type: map_at_100
+      value: 20.51
+    - type: map_at_1000
+      value: 20.654
+    - type: map_at_20
+      value: 19.948
+    - type: map_at_3
+      value: 17.293
+    - type: map_at_5
+      value: 18.166
+    - type: mrr_at_1
+      value: 16.21
+    - type: mrr_at_10
+      value: 22.668
+    - type: mrr_at_100
+      value: 23.572000000000003
+    - type: mrr_at_1000
+      value: 23.666
+    - type: mrr_at_20
+      value: 23.095
+    - type: mrr_at_3
+      value: 20.491
+    - type: mrr_at_5
+      value: 21.444
+    - type: ndcg_at_1
+      value: 16.21
+    - type: ndcg_at_10
+      value: 23.648
+    - type: ndcg_at_100
+      value: 29.029
+    - type: ndcg_at_1000
+      value: 32.550000000000004
+    - type: ndcg_at_20
+      value: 25.28
+    - type: ndcg_at_3
+      value: 19.515
+    - type: ndcg_at_5
+      value: 20.821
+    - type: precision_at_1
+      value: 16.21
+    - type: precision_at_10
+      value: 4.566
+    - type: precision_at_100
+      value: 0.873
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_20
+      value: 2.791
+    - type: precision_at_3
+      value: 9.399000000000001
+    - type: precision_at_5
+      value: 6.758
+    - type: recall_at_1
+      value: 13.578000000000001
+    - type: recall_at_10
+      value: 33.276
+    - type: recall_at_100
+      value: 57.316
+    - type: recall_at_1000
+      value: 82.33500000000001
+    - type: recall_at_20
+      value: 38.95
+    - type: recall_at_3
+      value: 21.467
+    - type: recall_at_5
+      value: 24.939
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 15.536166666666668
+    - type: map_at_10
+      value: 21.584333333333337
+    - type: map_at_100
+      value: 22.610750000000003
+    - type: map_at_1000
+      value: 22.732083333333335
+    - type: map_at_20
+      value: 22.088166666666666
+    - type: map_at_3
+      value: 19.561583333333328
+    - type: map_at_5
+      value: 20.634666666666668
+    - type: mrr_at_1
+      value: 18.388583333333333
+    - type: mrr_at_10
+      value: 24.63783333333333
+    - type: mrr_at_100
+      value: 25.53608333333333
+    - type: mrr_at_1000
+      value: 25.61658333333333
+    - type: mrr_at_20
+      value: 25.101000000000003
+    - type: mrr_at_3
+      value: 22.641583333333333
+    - type: mrr_at_5
+      value: 23.715083333333336
+    - type: ndcg_at_1
+      value: 18.388583333333333
+    - type: ndcg_at_10
+      value: 25.564000000000004
+    - type: ndcg_at_100
+      value: 30.654500000000002
+    - type: ndcg_at_1000
+      value: 33.64308333333334
+    - type: ndcg_at_20
+      value: 27.234
+    - type: ndcg_at_3
+      value: 21.81491666666667
+    - type: ndcg_at_5
+      value: 23.46691666666667
+    - type: precision_at_1
+      value: 18.388583333333333
+    - type: precision_at_10
+      value: 4.581499999999999
+    - type: precision_at_100
+      value: 0.8400833333333335
+    - type: precision_at_1000
+      value: 0.12791666666666665
+    - type: precision_at_20
+      value: 2.7849166666666663
+    - type: precision_at_3
+      value: 10.077333333333334
+    - type: precision_at_5
+      value: 7.273250000000001
+    - type: recall_at_1
+      value: 15.536166666666668
+    - type: recall_at_10
+      value: 34.61533333333334
+    - type: recall_at_100
+      value: 57.71308333333332
+    - type: recall_at_1000
+      value: 79.32074999999999
+    - type: recall_at_20
+      value: 40.750416666666666
+    - type: recall_at_3
+      value: 24.079333333333334
+    - type: recall_at_5
+      value: 28.31308333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 14.603
+    - type: map_at_10
+      value: 20.063
+    - type: map_at_100
+      value: 20.966
+    - type: map_at_1000
+      value: 21.060000000000002
+    - type: map_at_20
+      value: 20.531
+    - type: map_at_3
+      value: 18.448
+    - type: map_at_5
+      value: 19.484
+    - type: mrr_at_1
+      value: 16.258
+    - type: mrr_at_10
+      value: 22.21
+    - type: mrr_at_100
+      value: 23.066
+    - type: mrr_at_1000
+      value: 23.142
+    - type: mrr_at_20
+      value: 22.631999999999998
+    - type: mrr_at_3
+      value: 20.602999999999998
+    - type: mrr_at_5
+      value: 21.593
+    - type: ndcg_at_1
+      value: 16.258
+    - type: ndcg_at_10
+      value: 23.396
+    - type: ndcg_at_100
+      value: 28.023999999999997
+    - type: ndcg_at_1000
+      value: 30.681000000000004
+    - type: ndcg_at_20
+      value: 24.971
+    - type: ndcg_at_3
+      value: 20.352
+    - type: ndcg_at_5
+      value: 22.036
+    - type: precision_at_1
+      value: 16.258
+    - type: precision_at_10
+      value: 3.758
+    - type: precision_at_100
+      value: 0.661
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_20
+      value: 2.247
+    - type: precision_at_3
+      value: 9.1
+    - type: precision_at_5
+      value: 6.503
+    - type: recall_at_1
+      value: 14.603
+    - type: recall_at_10
+      value: 31.578
+    - type: recall_at_100
+      value: 52.87500000000001
+    - type: recall_at_1000
+      value: 72.993
+    - type: recall_at_20
+      value: 37.464
+    - type: recall_at_3
+      value: 23.089000000000002
+    - type: recall_at_5
+      value: 27.272000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 9.844999999999999
+    - type: map_at_10
+      value: 14.209
+    - type: map_at_100
+      value: 15.094
+    - type: map_at_1000
+      value: 15.215
+    - type: map_at_20
+      value: 14.646
+    - type: map_at_3
+      value: 12.802
+    - type: map_at_5
+      value: 13.543
+    - type: mrr_at_1
+      value: 12.113
+    - type: mrr_at_10
+      value: 16.875
+    - type: mrr_at_100
+      value: 17.73
+    - type: mrr_at_1000
+      value: 17.824
+    - type: mrr_at_20
+      value: 17.318
+    - type: mrr_at_3
+      value: 15.273
+    - type: mrr_at_5
+      value: 16.164
+    - type: ndcg_at_1
+      value: 12.113
+    - type: ndcg_at_10
+      value: 17.28
+    - type: ndcg_at_100
+      value: 21.939
+    - type: ndcg_at_1000
+      value: 25.262
+    - type: ndcg_at_20
+      value: 18.822
+    - type: ndcg_at_3
+      value: 14.485999999999999
+    - type: ndcg_at_5
+      value: 15.731
+    - type: precision_at_1
+      value: 12.113
+    - type: precision_at_10
+      value: 3.19
+    - type: precision_at_100
+      value: 0.661
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_20
+      value: 2.046
+    - type: precision_at_3
+      value: 6.825
+    - type: precision_at_5
+      value: 5.003
+    - type: recall_at_1
+      value: 9.844999999999999
+    - type: recall_at_10
+      value: 24.005000000000003
+    - type: recall_at_100
+      value: 45.385
+    - type: recall_at_1000
+      value: 69.99499999999999
+    - type: recall_at_20
+      value: 29.704000000000004
+    - type: recall_at_3
+      value: 16.295
+    - type: recall_at_5
+      value: 19.444
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 14.875
+    - type: map_at_10
+      value: 20.305999999999997
+    - type: map_at_100
+      value: 21.23
+    - type: map_at_1000
+      value: 21.342
+    - type: map_at_20
+      value: 20.709
+    - type: map_at_3
+      value: 18.199
+    - type: map_at_5
+      value: 19.268
+    - type: mrr_at_1
+      value: 17.071
+    - type: mrr_at_10
+      value: 23.003
+    - type: mrr_at_100
+      value: 23.857999999999997
+    - type: mrr_at_1000
+      value: 23.939
+    - type: mrr_at_20
+      value: 23.398
+    - type: mrr_at_3
+      value: 20.569000000000003
+    - type: mrr_at_5
+      value: 21.776999999999997
+    - type: ndcg_at_1
+      value: 17.071
+    - type: ndcg_at_10
+      value: 24.262
+    - type: ndcg_at_100
+      value: 29.217
+    - type: ndcg_at_1000
+      value: 32.133
+    - type: ndcg_at_20
+      value: 25.679000000000002
+    - type: ndcg_at_3
+      value: 19.844
+    - type: ndcg_at_5
+      value: 21.712
+    - type: precision_at_1
+      value: 17.071
+    - type: precision_at_10
+      value: 4.198
+    - type: precision_at_100
+      value: 0.765
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_20
+      value: 2.481
+    - type: precision_at_3
+      value: 8.613
+    - type: precision_at_5
+      value: 6.287
+    - type: recall_at_1
+      value: 14.875
+    - type: recall_at_10
+      value: 33.915
+    - type: recall_at_100
+      value: 56.513000000000005
+    - type: recall_at_1000
+      value: 77.737
+    - type: recall_at_20
+      value: 39.047
+    - type: recall_at_3
+      value: 22.017999999999997
+    - type: recall_at_5
+      value: 26.514
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 16.02
+    - type: map_at_10
+      value: 21.43
+    - type: map_at_100
+      value: 22.468
+    - type: map_at_1000
+      value: 22.659000000000002
+    - type: map_at_20
+      value: 21.926000000000002
+    - type: map_at_3
+      value: 19.258
+    - type: map_at_5
+      value: 20.405
+    - type: mrr_at_1
+      value: 19.564999999999998
+    - type: mrr_at_10
+      value: 25.063999999999997
+    - type: mrr_at_100
+      value: 25.918999999999997
+    - type: mrr_at_1000
+      value: 26.007
+    - type: mrr_at_20
+      value: 25.490000000000002
+    - type: mrr_at_3
+      value: 22.727
+    - type: mrr_at_5
+      value: 23.992
+    - type: ndcg_at_1
+      value: 19.564999999999998
+    - type: ndcg_at_10
+      value: 25.575
+    - type: ndcg_at_100
+      value: 30.464999999999996
+    - type: ndcg_at_1000
+      value: 34.131
+    - type: ndcg_at_20
+      value: 27.119
+    - type: ndcg_at_3
+      value: 21.607000000000003
+    - type: ndcg_at_5
+      value: 23.331
+    - type: precision_at_1
+      value: 19.564999999999998
+    - type: precision_at_10
+      value: 4.822
+    - type: precision_at_100
+      value: 0.98
+    - type: precision_at_1000
+      value: 0.196
+    - type: precision_at_20
+      value: 3.0140000000000002
+    - type: precision_at_3
+      value: 10.079
+    - type: precision_at_5
+      value: 7.51
+    - type: recall_at_1
+      value: 16.02
+    - type: recall_at_10
+      value: 34.215
+    - type: recall_at_100
+      value: 57.220000000000006
+    - type: recall_at_1000
+      value: 81.721
+    - type: recall_at_20
+      value: 40.169
+    - type: recall_at_3
+      value: 22.289
+    - type: recall_at_5
+      value: 26.856
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 10.173
+    - type: map_at_10
+      value: 15.528
+    - type: map_at_100
+      value: 16.470000000000002
+    - type: map_at_1000
+      value: 16.566
+    - type: map_at_20
+      value: 15.967999999999998
+    - type: map_at_3
+      value: 13.902999999999999
+    - type: map_at_5
+      value: 14.774000000000001
+    - type: mrr_at_1
+      value: 11.275
+    - type: mrr_at_10
+      value: 16.659
+    - type: mrr_at_100
+      value: 17.637
+    - type: mrr_at_1000
+      value: 17.723
+    - type: mrr_at_20
+      value: 17.158
+    - type: mrr_at_3
+      value: 15.065000000000001
+    - type: mrr_at_5
+      value: 15.943
+    - type: ndcg_at_1
+      value: 11.275
+    - type: ndcg_at_10
+      value: 18.825
+    - type: ndcg_at_100
+      value: 23.985
+    - type: ndcg_at_1000
+      value: 26.927
+    - type: ndcg_at_20
+      value: 20.462
+    - type: ndcg_at_3
+      value: 15.519
+    - type: ndcg_at_5
+      value: 17.058
+    - type: precision_at_1
+      value: 11.275
+    - type: precision_at_10
+      value: 3.179
+    - type: precision_at_100
+      value: 0.627
+    - type: precision_at_1000
+      value: 0.094
+    - type: precision_at_20
+      value: 1.978
+    - type: precision_at_3
+      value: 6.839
+    - type: precision_at_5
+      value: 4.9910000000000005
+    - type: recall_at_1
+      value: 10.173
+    - type: recall_at_10
+      value: 27.994000000000003
+    - type: recall_at_100
+      value: 52.418
+    - type: recall_at_1000
+      value: 75.36699999999999
+    - type: recall_at_20
+      value: 34.184
+    - type: recall_at_3
+      value: 19.082
+    - type: recall_at_5
+      value: 22.807
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 7.394
+    - type: map_at_10
+      value: 12.179
+    - type: map_at_100
+      value: 13.644
+    - type: map_at_1000
+      value: 13.821
+    - type: map_at_20
+      value: 12.969
+    - type: map_at_3
+      value: 10.177
+    - type: map_at_5
+      value: 11.155
+    - type: mrr_at_1
+      value: 15.961
+    - type: mrr_at_10
+      value: 24.118000000000002
+    - type: mrr_at_100
+      value: 25.318
+    - type: mrr_at_1000
+      value: 25.384
+    - type: mrr_at_20
+      value: 24.911
+    - type: mrr_at_3
+      value: 21.151
+    - type: mrr_at_5
+      value: 22.731
+    - type: ndcg_at_1
+      value: 15.961
+    - type: ndcg_at_10
+      value: 17.77
+    - type: ndcg_at_100
+      value: 24.282
+    - type: ndcg_at_1000
+      value: 27.788
+    - type: ndcg_at_20
+      value: 20.345
+    - type: ndcg_at_3
+      value: 13.996
+    - type: ndcg_at_5
+      value: 15.277
+    - type: precision_at_1
+      value: 15.961
+    - type: precision_at_10
+      value: 5.629
+    - type: precision_at_100
+      value: 1.243
+    - type: precision_at_1000
+      value: 0.188
+    - type: precision_at_20
+      value: 3.8830000000000005
+    - type: precision_at_3
+      value: 10.228
+    - type: precision_at_5
+      value: 8.065
+    - type: recall_at_1
+      value: 7.394
+    - type: recall_at_10
+      value: 22.037000000000003
+    - type: recall_at_100
+      value: 44.823
+    - type: recall_at_1000
+      value: 64.782
+    - type: recall_at_20
+      value: 29.416999999999998
+    - type: recall_at_3
+      value: 12.931999999999999
+    - type: recall_at_5
+      value: 16.392
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 4.22
+    - type: map_at_10
+      value: 9.109
+    - type: map_at_100
+      value: 12.520999999999999
+    - type: map_at_1000
+      value: 13.461
+    - type: map_at_20
+      value: 10.374
+    - type: map_at_3
+      value: 6.524000000000001
+    - type: map_at_5
+      value: 7.664999999999999
+    - type: mrr_at_1
+      value: 34.75
+    - type: mrr_at_10
+      value: 46.822
+    - type: mrr_at_100
+      value: 47.501
+    - type: mrr_at_1000
+      value: 47.546
+    - type: mrr_at_20
+      value: 47.246
+    - type: mrr_at_3
+      value: 43.875
+    - type: mrr_at_5
+      value: 45.637
+    - type: ndcg_at_1
+      value: 25.874999999999996
+    - type: ndcg_at_10
+      value: 21.938
+    - type: ndcg_at_100
+      value: 24.924
+    - type: ndcg_at_1000
+      value: 31.627
+    - type: ndcg_at_20
+      value: 21.627
+    - type: ndcg_at_3
+      value: 23.132
+    - type: ndcg_at_5
+      value: 22.553
+    - type: precision_at_1
+      value: 34.75
+    - type: precision_at_10
+      value: 18.65
+    - type: precision_at_100
+      value: 5.862
+    - type: precision_at_1000
+      value: 1.348
+    - type: precision_at_20
+      value: 13.750000000000002
+    - type: precision_at_3
+      value: 27.333000000000002
+    - type: precision_at_5
+      value: 24.05
+    - type: recall_at_1
+      value: 4.22
+    - type: recall_at_10
+      value: 14.191
+    - type: recall_at_100
+      value: 31.192999999999998
+    - type: recall_at_1000
+      value: 53.517
+    - type: recall_at_20
+      value: 18.516
+    - type: recall_at_3
+      value: 8.036
+    - type: recall_at_5
+      value: 10.329
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 39.184999999999995
+    - type: f1
+      value: 35.27301038035798
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 65.1424
+    - type: ap
+      value: 60.060650493494705
+    - type: f1
+      value: 64.97836345253516
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.27496580027359
+    - type: f1
+      value: 88.46317641931785
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 65.35567715458276
+    - type: f1
+      value: 46.496133882315355
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 65.31943510423672
+    - type: f1
+      value: 63.99472103750694
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 70.51445864156018
+    - type: f1
+      value: 69.5241099650794
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.419094146071636
+    - 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: 27.139470452055658
+    - 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: 29.568052227516432
+    - type: mrr
+      value: 30.428712172981818
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 39.24416138727274
+    - 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: 52.2014890689022
+    - type: v_measures
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+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.49732285023127
+    - type: cos_sim_spearman
+      value: 69.06853511870162
+    - type: euclidean_pearson
+      value: 73.63802461551214
+    - type: euclidean_spearman
+      value: 68.89675389831514
+    - type: manhattan_pearson
+      value: 73.31463476887929
+    - type: manhattan_spearman
+      value: 68.62065836256522
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.30725406004984
+    - type: cos_sim_spearman
+      value: 71.77933625004815
+    - type: euclidean_pearson
+      value: 75.6716433687837
+    - type: euclidean_spearman
+      value: 71.29004792199038
+    - type: manhattan_pearson
+      value: 75.71992020594199
+    - type: manhattan_spearman
+      value: 71.32910104106817
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.48949837438562
+    - type: cos_sim_spearman
+      value: 77.70387570173884
+    - type: euclidean_pearson
+      value: 77.31697136821097
+    - type: euclidean_spearman
+      value: 77.7725127232427
+    - type: manhattan_pearson
+      value: 77.2104513638156
+    - type: manhattan_spearman
+      value: 77.6662508639199
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.92186146745203
+    - type: cos_sim_spearman
+      value: 74.03500111217282
+    - type: euclidean_pearson
+      value: 76.92245132110358
+    - type: euclidean_spearman
+      value: 74.1163537497533
+    - type: manhattan_pearson
+      value: 76.7405912634287
+    - type: manhattan_spearman
+      value: 74.00559912577475
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.41755953814916
+    - type: cos_sim_spearman
+      value: 83.12590620595532
+    - type: euclidean_pearson
+      value: 82.81061023887204
+    - type: euclidean_spearman
+      value: 83.22204855595223
+    - type: manhattan_pearson
+      value: 82.69802515552313
+    - type: manhattan_spearman
+      value: 83.09996325139677
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.75524761527194
+    - type: cos_sim_spearman
+      value: 78.87593181990188
+    - type: euclidean_pearson
+      value: 78.55191677073188
+    - type: euclidean_spearman
+      value: 78.92172836212852
+    - type: manhattan_pearson
+      value: 78.36496155482094
+    - type: manhattan_spearman
+      value: 78.67446213683105
+  - 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: 84.7638229493128
+    - type: cos_sim_spearman
+      value: 85.55048917425349
+    - type: euclidean_pearson
+      value: 84.8901462981343
+    - type: euclidean_spearman
+      value: 85.10066833018679
+    - type: manhattan_pearson
+      value: 84.74064489630906
+    - type: manhattan_spearman
+      value: 85.03532091650423
+  - 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: 63.74800563207841
+    - type: cos_sim_spearman
+      value: 65.54768610942277
+    - type: euclidean_pearson
+      value: 65.832924763177
+    - type: euclidean_spearman
+      value: 65.67977634984801
+    - type: manhattan_pearson
+      value: 66.04809976105817
+    - type: manhattan_spearman
+      value: 65.8551641921871
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.42910915029356
+    - type: cos_sim_spearman
+      value: 78.93487000382834
+    - type: euclidean_pearson
+      value: 79.97058072370304
+    - type: euclidean_spearman
+      value: 79.02999975191632
+    - type: manhattan_pearson
+      value: 79.75656714948262
+    - type: manhattan_spearman
+      value: 78.82176824285669
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.6588967461659
+    - type: mrr
+      value: 91.90398381574852
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.7960396039604
+    - type: cos_sim_ap
+      value: 94.40352134094806
+    - type: cos_sim_f1
+      value: 89.42505133470226
+    - type: cos_sim_precision
+      value: 91.87763713080169
+    - type: cos_sim_recall
+      value: 87.1
+    - type: dot_accuracy
+      value: 99.61980198019802
+    - type: dot_ap
+      value: 86.92800137802539
+    - type: dot_f1
+      value: 80.60606060606061
+    - type: dot_precision
+      value: 81.42857142857143
+    - type: dot_recall
+      value: 79.80000000000001
+    - type: euclidean_accuracy
+      value: 99.7910891089109
+    - type: euclidean_ap
+      value: 94.1534710913129
+    - type: euclidean_f1
+      value: 89.18232605383443
+    - type: euclidean_precision
+      value: 90.60887512899896
+    - type: euclidean_recall
+      value: 87.8
+    - type: manhattan_accuracy
+      value: 99.79207920792079
+    - type: manhattan_ap
+      value: 94.24718696087999
+    - type: manhattan_f1
+      value: 89.0852390852391
+    - type: manhattan_precision
+      value: 92.74891774891775
+    - type: manhattan_recall
+      value: 85.7
+    - type: max_accuracy
+      value: 99.7960396039604
+    - type: max_ap
+      value: 94.40352134094806
+    - type: max_f1
+      value: 89.42505133470226
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 46.43052365225014
+    - 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: 34.30506603469398
+    - 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: 45.986302830652576
+    - type: mrr
+      value: 46.73859126984127
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.681504542251222
+    - type: cos_sim_spearman
+      value: 30.52300975318605
+    - type: dot_pearson
+      value: 30.89258938963458
+    - type: dot_spearman
+      value: 30.789407411509075
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 63.916015625
+    - type: ap
+      value: 11.079823797650405
+    - type: f1
+      value: 48.9073889627104
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 54.80192416525185
+    - type: f1
+      value: 55.06729742763208
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 30.428269625267067
+    - 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: 83.04226023722954
+    - type: cos_sim_ap
+      value: 63.85841588156352
+    - type: cos_sim_f1
+      value: 60.82009954965631
+    - type: cos_sim_precision
+      value: 55.2065404475043
+    - type: cos_sim_recall
+      value: 67.70448548812665
+    - type: dot_accuracy
+      value: 78.91756571496693
+    - type: dot_ap
+      value: 46.39288120938224
+    - type: dot_f1
+      value: 49.36296847391426
+    - type: dot_precision
+      value: 38.11575470343243
+    - type: dot_recall
+      value: 70.0263852242744
+    - type: euclidean_accuracy
+      value: 83.18531322644095
+    - type: euclidean_ap
+      value: 64.47939517179049
+    - type: euclidean_f1
+      value: 61.326567596955414
+    - type: euclidean_precision
+      value: 56.56340539335859
+    - type: euclidean_recall
+      value: 66.96569920844327
+    - type: manhattan_accuracy
+      value: 82.9826548250581
+    - type: manhattan_ap
+      value: 64.01165035368786
+    - type: manhattan_f1
+      value: 60.99290780141844
+    - type: manhattan_precision
+      value: 54.52088962793597
+    - type: manhattan_recall
+      value: 69.2084432717678
+    - type: max_accuracy
+      value: 83.18531322644095
+    - type: max_ap
+      value: 64.47939517179049
+    - type: max_f1
+      value: 61.326567596955414
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.53832421314084
+    - type: cos_sim_ap
+      value: 82.94679942153577
+    - type: cos_sim_f1
+      value: 74.90408975750995
+    - type: cos_sim_precision
+      value: 70.67340527250376
+    - type: cos_sim_recall
+      value: 79.6735448105944
+    - type: dot_accuracy
+      value: 85.2214072262972
+    - type: dot_ap
+      value: 76.39891716014382
+    - type: dot_f1
+      value: 70.62225554246545
+    - type: dot_precision
+      value: 65.83904679491447
+    - type: dot_recall
+      value: 76.15491222667077
+    - type: euclidean_accuracy
+      value: 87.55190747855785
+    - type: euclidean_ap
+      value: 82.9537174035843
+    - type: euclidean_f1
+      value: 75.01588844442783
+    - type: euclidean_precision
+      value: 72.90894557081607
+    - type: euclidean_recall
+      value: 77.24822913458577
+    - type: manhattan_accuracy
+      value: 87.5499670120697
+    - type: manhattan_ap
+      value: 82.85971137826064
+    - type: manhattan_f1
+      value: 74.86758672137262
+    - type: manhattan_precision
+      value: 72.60888438720879
+    - type: manhattan_recall
+      value: 77.27132737911919
+    - type: max_accuracy
+      value: 87.55190747855785
+    - type: max_ap
+      value: 82.9537174035843
+    - type: max_f1
+      value: 75.01588844442783
 ---
 # Kyurem