diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -1,202 +1,2902 @@
 ---
-library_name: peft
-base_model: mistralai/Mistral-7B-Instruct-v0.2
+tags:
+- mteb
+model-index:
+- name: SE_v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 78.83582089552237
+    - type: ap
+      value: 43.10721536172567
+    - type: f1
+      value: 73.02587501904198
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 92.756325
+    - type: ap
+      value: 89.5445783321967
+    - type: f1
+      value: 92.7501917603289
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 47.431999999999995
+    - type: f1
+      value: 46.49254790014476
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 35.135
+    - type: map_at_10
+      value: 52.298
+    - type: map_at_100
+      value: 52.298
+    - type: map_at_1000
+      value: 52.298
+    - type: map_at_20
+      value: 52.298
+    - type: map_at_3
+      value: 47.522999999999996
+    - type: map_at_5
+      value: 50.378
+    - type: mrr_at_1
+      value: 36.059999999999995
+    - type: mrr_at_10
+      value: 52.662
+    - type: mrr_at_100
+      value: 52.662
+    - type: mrr_at_1000
+      value: 52.662
+    - type: mrr_at_20
+      value: 52.662
+    - type: mrr_at_3
+      value: 47.783
+    - type: mrr_at_5
+      value: 50.753
+    - type: ndcg_at_1
+      value: 35.135
+    - type: ndcg_at_10
+      value: 61.419999999999995
+    - type: ndcg_at_100
+      value: 61.419999999999995
+    - type: ndcg_at_1000
+      value: 61.419999999999995
+    - type: ndcg_at_20
+      value: 61.419999999999995
+    - type: ndcg_at_3
+      value: 51.608
+    - type: ndcg_at_5
+      value: 56.759
+    - type: precision_at_1
+      value: 35.135
+    - type: precision_at_10
+      value: 9.04
+    - type: precision_at_100
+      value: 0.9039999999999999
+    - type: precision_at_1000
+      value: 0.09
+    - type: precision_at_20
+      value: 4.52
+    - type: precision_at_3
+      value: 21.147
+    - type: precision_at_5
+      value: 15.192
+    - type: recall_at_1
+      value: 35.135
+    - type: recall_at_10
+      value: 90.398
+    - type: recall_at_100
+      value: 90.398
+    - type: recall_at_1000
+      value: 90.398
+    - type: recall_at_20
+      value: 90.398
+    - type: recall_at_3
+      value: 63.442
+    - type: recall_at_5
+      value: 75.96000000000001
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 48.12363356263455
+    - 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: 45.504015770335826
+    - 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: 66.58809524589093
+    - type: mrr
+      value: 79.3222090313503
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.401710093136
+    - type: cos_sim_spearman
+      value: 85.91701791850129
+    - type: euclidean_pearson
+      value: 83.66475885640826
+    - type: euclidean_spearman
+      value: 84.01095039107408
+    - type: manhattan_pearson
+      value: 83.71400775916655
+    - type: manhattan_spearman
+      value: 84.27963121194402
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.96103896103895
+    - type: f1
+      value: 88.91409928169791
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 38.45196381563332
+    - 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: 36.52850715706321
+    - 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: 40.073
+    - type: map_at_10
+      value: 54.022999999999996
+    - type: map_at_100
+      value: 54.022999999999996
+    - type: map_at_1000
+      value: 54.022999999999996
+    - type: map_at_20
+      value: 54.022999999999996
+    - type: map_at_3
+      value: 49.285000000000004
+    - type: map_at_5
+      value: 52.05
+    - type: mrr_at_1
+      value: 51.215999999999994
+    - type: mrr_at_10
+      value: 60.866
+    - type: mrr_at_100
+      value: 60.866
+    - type: mrr_at_1000
+      value: 60.866
+    - type: mrr_at_20
+      value: 60.866
+    - type: mrr_at_3
+      value: 58.274
+    - type: mrr_at_5
+      value: 59.754
+    - type: ndcg_at_1
+      value: 51.215999999999994
+    - type: ndcg_at_10
+      value: 61.312
+    - type: ndcg_at_100
+      value: 60.866
+    - type: ndcg_at_1000
+      value: 60.85
+    - type: ndcg_at_20
+      value: 60.980999999999995
+    - type: ndcg_at_3
+      value: 55.544000000000004
+    - type: ndcg_at_5
+      value: 58.299
+    - type: precision_at_1
+      value: 51.215999999999994
+    - type: precision_at_10
+      value: 12.117
+    - type: precision_at_100
+      value: 1.212
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_20
+      value: 6.059
+    - type: precision_at_3
+      value: 27.182000000000002
+    - type: precision_at_5
+      value: 19.857
+    - type: recall_at_1
+      value: 40.073
+    - type: recall_at_10
+      value: 74.51
+    - type: recall_at_100
+      value: 74.51
+    - type: recall_at_1000
+      value: 74.51
+    - type: recall_at_20
+      value: 74.51
+    - type: recall_at_3
+      value: 56.804
+    - type: recall_at_5
+      value: 64.863
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 36.658
+    - type: map_at_10
+      value: 48.632
+    - type: map_at_100
+      value: 48.632
+    - type: map_at_1000
+      value: 48.632
+    - type: map_at_20
+      value: 48.632
+    - type: map_at_3
+      value: 45.287
+    - type: map_at_5
+      value: 47.243
+    - type: mrr_at_1
+      value: 47.134
+    - type: mrr_at_10
+      value: 55.047000000000004
+    - type: mrr_at_100
+      value: 55.047000000000004
+    - type: mrr_at_1000
+      value: 55.047000000000004
+    - type: mrr_at_20
+      value: 55.047000000000004
+    - type: mrr_at_3
+      value: 53.163000000000004
+    - type: mrr_at_5
+      value: 54.294
+    - type: ndcg_at_1
+      value: 47.134
+    - type: ndcg_at_10
+      value: 54.440999999999995
+    - type: ndcg_at_100
+      value: 53.981
+    - type: ndcg_at_1000
+      value: 53.981
+    - type: ndcg_at_20
+      value: 54.111
+    - type: ndcg_at_3
+      value: 50.734
+    - type: ndcg_at_5
+      value: 52.48199999999999
+    - type: precision_at_1
+      value: 47.134
+    - type: precision_at_10
+      value: 10.439
+    - type: precision_at_100
+      value: 1.044
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_20
+      value: 5.220000000000001
+    - type: precision_at_3
+      value: 25.096
+    - type: precision_at_5
+      value: 17.554
+    - type: recall_at_1
+      value: 36.658
+    - type: recall_at_10
+      value: 63.641999999999996
+    - type: recall_at_100
+      value: 63.641999999999996
+    - type: recall_at_1000
+      value: 63.641999999999996
+    - type: recall_at_20
+      value: 63.641999999999996
+    - type: recall_at_3
+      value: 51.564
+    - type: recall_at_5
+      value: 57.277
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 47.929
+    - type: map_at_10
+      value: 62.132
+    - type: map_at_100
+      value: 62.132
+    - type: map_at_1000
+      value: 62.132
+    - type: map_at_20
+      value: 62.132
+    - type: map_at_3
+      value: 58.278
+    - type: map_at_5
+      value: 60.589000000000006
+    - type: mrr_at_1
+      value: 55.11000000000001
+    - type: mrr_at_10
+      value: 65.417
+    - type: mrr_at_100
+      value: 65.417
+    - type: mrr_at_1000
+      value: 65.417
+    - type: mrr_at_20
+      value: 65.417
+    - type: mrr_at_3
+      value: 62.832
+    - type: mrr_at_5
+      value: 64.371
+    - type: ndcg_at_1
+      value: 55.11000000000001
+    - type: ndcg_at_10
+      value: 68.293
+    - type: ndcg_at_100
+      value: 68.197
+    - type: ndcg_at_1000
+      value: 68.197
+    - type: ndcg_at_20
+      value: 68.2
+    - type: ndcg_at_3
+      value: 62.28
+    - type: ndcg_at_5
+      value: 65.379
+    - type: precision_at_1
+      value: 55.11000000000001
+    - type: precision_at_10
+      value: 10.947
+    - type: precision_at_100
+      value: 1.095
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_20
+      value: 5.473
+    - type: precision_at_3
+      value: 27.816000000000003
+    - type: precision_at_5
+      value: 19.122
+    - type: recall_at_1
+      value: 47.929
+    - type: recall_at_10
+      value: 83.009
+    - type: recall_at_100
+      value: 83.009
+    - type: recall_at_1000
+      value: 83.009
+    - type: recall_at_20
+      value: 83.009
+    - type: recall_at_3
+      value: 66.97999999999999
+    - type: recall_at_5
+      value: 74.638
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 29.831999999999997
+    - type: map_at_10
+      value: 40.278000000000006
+    - type: map_at_100
+      value: 40.278000000000006
+    - type: map_at_1000
+      value: 40.278000000000006
+    - type: map_at_20
+      value: 40.278000000000006
+    - type: map_at_3
+      value: 37.271
+    - type: map_at_5
+      value: 38.93
+    - type: mrr_at_1
+      value: 32.316
+    - type: mrr_at_10
+      value: 42.368
+    - type: mrr_at_100
+      value: 42.368
+    - type: mrr_at_1000
+      value: 42.368
+    - type: mrr_at_20
+      value: 42.368
+    - type: mrr_at_3
+      value: 39.774
+    - type: mrr_at_5
+      value: 41.249
+    - type: ndcg_at_1
+      value: 32.316
+    - type: ndcg_at_10
+      value: 46.024
+    - type: ndcg_at_100
+      value: 46.024
+    - type: ndcg_at_1000
+      value: 46.024
+    - type: ndcg_at_20
+      value: 46.024
+    - type: ndcg_at_3
+      value: 40.324
+    - type: ndcg_at_5
+      value: 43.059999999999995
+    - type: precision_at_1
+      value: 32.316
+    - type: precision_at_10
+      value: 7.153
+    - type: precision_at_100
+      value: 0.715
+    - type: precision_at_1000
+      value: 0.07200000000000001
+    - type: precision_at_20
+      value: 3.576
+    - type: precision_at_3
+      value: 17.363
+    - type: precision_at_5
+      value: 12.068
+    - type: recall_at_1
+      value: 29.831999999999997
+    - type: recall_at_10
+      value: 61.550000000000004
+    - type: recall_at_100
+      value: 61.550000000000004
+    - type: recall_at_1000
+      value: 61.550000000000004
+    - type: recall_at_20
+      value: 61.550000000000004
+    - type: recall_at_3
+      value: 46.285
+    - type: recall_at_5
+      value: 52.851000000000006
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 22.595000000000002
+    - type: map_at_10
+      value: 32.306000000000004
+    - type: map_at_100
+      value: 32.306000000000004
+    - type: map_at_1000
+      value: 32.306000000000004
+    - type: map_at_20
+      value: 32.306000000000004
+    - type: map_at_3
+      value: 28.931
+    - type: map_at_5
+      value: 30.675
+    - type: mrr_at_1
+      value: 28.731
+    - type: mrr_at_10
+      value: 37.663999999999994
+    - type: mrr_at_100
+      value: 37.663999999999994
+    - type: mrr_at_1000
+      value: 37.663999999999994
+    - type: mrr_at_20
+      value: 37.663999999999994
+    - type: mrr_at_3
+      value: 34.949999999999996
+    - type: mrr_at_5
+      value: 36.399
+    - type: ndcg_at_1
+      value: 28.731
+    - type: ndcg_at_10
+      value: 38.485
+    - type: ndcg_at_100
+      value: 38.48
+    - type: ndcg_at_1000
+      value: 38.48
+    - type: ndcg_at_20
+      value: 38.48
+    - type: ndcg_at_3
+      value: 32.762
+    - type: ndcg_at_5
+      value: 35.149
+    - type: precision_at_1
+      value: 28.731
+    - type: precision_at_10
+      value: 7.226000000000001
+    - type: precision_at_100
+      value: 0.7230000000000001
+    - type: precision_at_1000
+      value: 0.07200000000000001
+    - type: precision_at_20
+      value: 3.6130000000000004
+    - type: precision_at_3
+      value: 15.754999999999999
+    - type: precision_at_5
+      value: 11.468
+    - type: recall_at_1
+      value: 22.595000000000002
+    - type: recall_at_10
+      value: 52.081
+    - type: recall_at_100
+      value: 52.081
+    - type: recall_at_1000
+      value: 52.081
+    - type: recall_at_20
+      value: 52.081
+    - type: recall_at_3
+      value: 36.14
+    - type: recall_at_5
+      value: 42.254000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 35.363
+    - type: map_at_10
+      value: 48.292
+    - type: map_at_100
+      value: 48.292
+    - type: map_at_1000
+      value: 48.292
+    - type: map_at_20
+      value: 48.292
+    - type: map_at_3
+      value: 44.230999999999995
+    - type: map_at_5
+      value: 46.455
+    - type: mrr_at_1
+      value: 44.273
+    - type: mrr_at_10
+      value: 53.923
+    - type: mrr_at_100
+      value: 53.923
+    - type: mrr_at_1000
+      value: 53.923
+    - type: mrr_at_20
+      value: 53.923
+    - type: mrr_at_3
+      value: 51.283
+    - type: mrr_at_5
+      value: 52.717000000000006
+    - type: ndcg_at_1
+      value: 44.273
+    - type: ndcg_at_10
+      value: 54.93900000000001
+    - type: ndcg_at_100
+      value: 54.832
+    - type: ndcg_at_1000
+      value: 54.832
+    - type: ndcg_at_20
+      value: 54.858
+    - type: ndcg_at_3
+      value: 49.184
+    - type: ndcg_at_5
+      value: 51.693999999999996
+    - type: precision_at_1
+      value: 44.273
+    - type: precision_at_10
+      value: 10.241
+    - type: precision_at_100
+      value: 1.024
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_20
+      value: 5.12
+    - type: precision_at_3
+      value: 23.933
+    - type: precision_at_5
+      value: 16.805
+    - type: recall_at_1
+      value: 35.363
+    - type: recall_at_10
+      value: 68.891
+    - type: recall_at_100
+      value: 68.891
+    - type: recall_at_1000
+      value: 68.891
+    - type: recall_at_20
+      value: 68.891
+    - type: recall_at_3
+      value: 51.946999999999996
+    - type: recall_at_5
+      value: 58.996
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 31.527
+    - type: map_at_10
+      value: 45.208
+    - type: map_at_100
+      value: 45.208
+    - type: map_at_1000
+      value: 45.208
+    - type: map_at_20
+      value: 45.208
+    - type: map_at_3
+      value: 41.193999999999996
+    - type: map_at_5
+      value: 43.378
+    - type: mrr_at_1
+      value: 39.839999999999996
+    - type: mrr_at_10
+      value: 50.906
+    - type: mrr_at_100
+      value: 50.906
+    - type: mrr_at_1000
+      value: 50.906
+    - type: mrr_at_20
+      value: 50.906
+    - type: mrr_at_3
+      value: 48.211999999999996
+    - type: mrr_at_5
+      value: 49.730000000000004
+    - type: ndcg_at_1
+      value: 39.839999999999996
+    - type: ndcg_at_10
+      value: 52.209
+    - type: ndcg_at_100
+      value: 52.068999999999996
+    - type: ndcg_at_1000
+      value: 52.065
+    - type: ndcg_at_20
+      value: 52.11
+    - type: ndcg_at_3
+      value: 46.326
+    - type: ndcg_at_5
+      value: 48.906
+    - type: precision_at_1
+      value: 39.839999999999996
+    - type: precision_at_10
+      value: 9.954
+    - type: precision_at_100
+      value: 0.9950000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_20
+      value: 4.977
+    - type: precision_at_3
+      value: 22.945
+    - type: precision_at_5
+      value: 16.438
+    - type: recall_at_1
+      value: 31.527
+    - type: recall_at_10
+      value: 66.97
+    - type: recall_at_100
+      value: 66.97
+    - type: recall_at_1000
+      value: 66.97
+    - type: recall_at_20
+      value: 66.97
+    - type: recall_at_3
+      value: 49.989
+    - type: recall_at_5
+      value: 57.023999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 32.47491666666667
+    - type: map_at_10
+      value: 43.86241666666667
+    - type: map_at_100
+      value: 43.86241666666667
+    - type: map_at_1000
+      value: 43.86241666666667
+    - type: map_at_20
+      value: 43.86241666666667
+    - type: map_at_3
+      value: 40.445166666666665
+    - type: map_at_5
+      value: 42.34416666666667
+    - type: mrr_at_1
+      value: 39.24941666666667
+    - type: mrr_at_10
+      value: 48.56083333333333
+    - type: mrr_at_100
+      value: 48.56083333333333
+    - type: mrr_at_1000
+      value: 48.56083333333333
+    - type: mrr_at_20
+      value: 48.56083333333333
+    - type: mrr_at_3
+      value: 46.09241666666667
+    - type: mrr_at_5
+      value: 47.48925
+    - type: ndcg_at_1
+      value: 39.24941666666667
+    - type: ndcg_at_10
+      value: 49.94208333333333
+    - type: ndcg_at_100
+      value: 49.754916666666674
+    - type: ndcg_at_1000
+      value: 49.751583333333336
+    - type: ndcg_at_20
+      value: 49.81033333333333
+    - type: ndcg_at_3
+      value: 44.72058333333334
+    - type: ndcg_at_5
+      value: 47.121249999999996
+    - type: precision_at_1
+      value: 39.24941666666667
+    - type: precision_at_10
+      value: 8.876166666666666
+    - type: precision_at_100
+      value: 0.8875833333333333
+    - type: precision_at_1000
+      value: 0.08875000000000001
+    - type: precision_at_20
+      value: 4.438083333333333
+    - type: precision_at_3
+      value: 20.939500000000002
+    - type: precision_at_5
+      value: 14.76966666666667
+    - type: recall_at_1
+      value: 32.47491666666667
+    - type: recall_at_10
+      value: 62.95991666666666
+    - type: recall_at_100
+      value: 62.95991666666666
+    - type: recall_at_1000
+      value: 62.95991666666666
+    - type: recall_at_20
+      value: 62.95991666666666
+    - type: recall_at_3
+      value: 48.01025
+    - type: recall_at_5
+      value: 54.43341666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 31.147999999999996
+    - type: map_at_10
+      value: 38.9
+    - type: map_at_100
+      value: 38.9
+    - type: map_at_1000
+      value: 38.9
+    - type: map_at_20
+      value: 38.9
+    - type: map_at_3
+      value: 36.614999999999995
+    - type: map_at_5
+      value: 37.836999999999996
+    - type: mrr_at_1
+      value: 35.123
+    - type: mrr_at_10
+      value: 42.111
+    - type: mrr_at_100
+      value: 42.111
+    - type: mrr_at_1000
+      value: 42.111
+    - type: mrr_at_20
+      value: 42.111
+    - type: mrr_at_3
+      value: 39.954
+    - type: mrr_at_5
+      value: 41.112
+    - type: ndcg_at_1
+      value: 35.123
+    - type: ndcg_at_10
+      value: 43.403000000000006
+    - type: ndcg_at_100
+      value: 43.374
+    - type: ndcg_at_1000
+      value: 43.374
+    - type: ndcg_at_20
+      value: 43.374
+    - type: ndcg_at_3
+      value: 39.206
+    - type: ndcg_at_5
+      value: 41.102
+    - type: precision_at_1
+      value: 35.123
+    - type: precision_at_10
+      value: 6.641
+    - type: precision_at_100
+      value: 0.664
+    - type: precision_at_1000
+      value: 0.066
+    - type: precision_at_20
+      value: 3.321
+    - type: precision_at_3
+      value: 16.616
+    - type: precision_at_5
+      value: 11.35
+    - type: recall_at_1
+      value: 31.147999999999996
+    - type: recall_at_10
+      value: 53.988
+    - type: recall_at_100
+      value: 53.988
+    - type: recall_at_1000
+      value: 53.988
+    - type: recall_at_20
+      value: 53.988
+    - type: recall_at_3
+      value: 42.223
+    - type: recall_at_5
+      value: 47.075
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 21.503
+    - type: map_at_10
+      value: 30.711
+    - type: map_at_100
+      value: 30.711
+    - type: map_at_1000
+      value: 30.711
+    - type: map_at_20
+      value: 30.711
+    - type: map_at_3
+      value: 27.876
+    - type: map_at_5
+      value: 29.448
+    - type: mrr_at_1
+      value: 26.944000000000003
+    - type: mrr_at_10
+      value: 35.400999999999996
+    - type: mrr_at_100
+      value: 35.400999999999996
+    - type: mrr_at_1000
+      value: 35.400999999999996
+    - type: mrr_at_20
+      value: 35.400999999999996
+    - type: mrr_at_3
+      value: 32.943
+    - type: mrr_at_5
+      value: 34.365
+    - type: ndcg_at_1
+      value: 26.944000000000003
+    - type: ndcg_at_10
+      value: 36.18
+    - type: ndcg_at_100
+      value: 36.053000000000004
+    - type: ndcg_at_1000
+      value: 36.051
+    - type: ndcg_at_20
+      value: 36.094
+    - type: ndcg_at_3
+      value: 31.5
+    - type: ndcg_at_5
+      value: 33.672999999999995
+    - type: precision_at_1
+      value: 26.944000000000003
+    - type: precision_at_10
+      value: 6.7
+    - type: precision_at_100
+      value: 0.67
+    - type: precision_at_1000
+      value: 0.067
+    - type: precision_at_20
+      value: 3.35
+    - type: precision_at_3
+      value: 15.221000000000002
+    - type: precision_at_5
+      value: 10.943
+    - type: recall_at_1
+      value: 21.503
+    - type: recall_at_10
+      value: 47.802
+    - type: recall_at_100
+      value: 47.802
+    - type: recall_at_1000
+      value: 47.802
+    - type: recall_at_20
+      value: 47.802
+    - type: recall_at_3
+      value: 34.316
+    - type: recall_at_5
+      value: 40.178999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 34.516000000000005
+    - type: map_at_10
+      value: 45.867999999999995
+    - type: map_at_100
+      value: 45.867999999999995
+    - type: map_at_1000
+      value: 45.867999999999995
+    - type: map_at_20
+      value: 45.867999999999995
+    - type: map_at_3
+      value: 42.480000000000004
+    - type: map_at_5
+      value: 44.292
+    - type: mrr_at_1
+      value: 41.510999999999996
+    - type: mrr_at_10
+      value: 50.709
+    - type: mrr_at_100
+      value: 50.709
+    - type: mrr_at_1000
+      value: 50.709
+    - type: mrr_at_20
+      value: 50.709
+    - type: mrr_at_3
+      value: 48.087999999999994
+    - type: mrr_at_5
+      value: 49.585
+    - type: ndcg_at_1
+      value: 41.510999999999996
+    - type: ndcg_at_10
+      value: 52.010999999999996
+    - type: ndcg_at_100
+      value: 51.998999999999995
+    - type: ndcg_at_1000
+      value: 51.998999999999995
+    - type: ndcg_at_20
+      value: 51.998999999999995
+    - type: ndcg_at_3
+      value: 46.605000000000004
+    - type: ndcg_at_5
+      value: 48.968
+    - type: precision_at_1
+      value: 41.510999999999996
+    - type: precision_at_10
+      value: 8.862
+    - type: precision_at_100
+      value: 0.886
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_20
+      value: 4.431
+    - type: precision_at_3
+      value: 21.58
+    - type: precision_at_5
+      value: 14.943999999999999
+    - type: recall_at_1
+      value: 34.516000000000005
+    - type: recall_at_10
+      value: 65.874
+    - type: recall_at_100
+      value: 65.874
+    - type: recall_at_1000
+      value: 65.874
+    - type: recall_at_20
+      value: 65.874
+    - type: recall_at_3
+      value: 50.444
+    - type: recall_at_5
+      value: 56.87
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 32.486
+    - type: map_at_10
+      value: 44.13
+    - type: map_at_100
+      value: 44.13
+    - type: map_at_1000
+      value: 44.13
+    - type: map_at_20
+      value: 44.13
+    - type: map_at_3
+      value: 40.644999999999996
+    - type: map_at_5
+      value: 42.712
+    - type: mrr_at_1
+      value: 40.514
+    - type: mrr_at_10
+      value: 50.058
+    - type: mrr_at_100
+      value: 50.058
+    - type: mrr_at_1000
+      value: 50.058
+    - type: mrr_at_20
+      value: 50.058
+    - type: mrr_at_3
+      value: 47.53
+    - type: mrr_at_5
+      value: 49.2
+    - type: ndcg_at_1
+      value: 40.514
+    - type: ndcg_at_10
+      value: 50.722
+    - type: ndcg_at_100
+      value: 49.907000000000004
+    - type: ndcg_at_1000
+      value: 49.889
+    - type: ndcg_at_20
+      value: 50.212
+    - type: ndcg_at_3
+      value: 45.822
+    - type: ndcg_at_5
+      value: 48.468
+    - type: precision_at_1
+      value: 40.514
+    - type: precision_at_10
+      value: 9.783
+    - type: precision_at_100
+      value: 0.9780000000000001
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_20
+      value: 4.891
+    - type: precision_at_3
+      value: 21.871
+    - type: precision_at_5
+      value: 15.928999999999998
+    - type: recall_at_1
+      value: 32.486
+    - type: recall_at_10
+      value: 61.644
+    - type: recall_at_100
+      value: 61.644
+    - type: recall_at_1000
+      value: 61.644
+    - type: recall_at_20
+      value: 61.644
+    - type: recall_at_3
+      value: 47.502
+    - type: recall_at_5
+      value: 54.596999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 26.069
+    - type: map_at_10
+      value: 35.869
+    - type: map_at_100
+      value: 35.869
+    - type: map_at_1000
+      value: 35.869
+    - type: map_at_20
+      value: 35.869
+    - type: map_at_3
+      value: 33.249
+    - type: map_at_5
+      value: 34.521
+    - type: mrr_at_1
+      value: 28.281
+    - type: mrr_at_10
+      value: 38.26
+    - type: mrr_at_100
+      value: 38.26
+    - type: mrr_at_1000
+      value: 38.26
+    - type: mrr_at_20
+      value: 38.26
+    - type: mrr_at_3
+      value: 36.106
+    - type: mrr_at_5
+      value: 37.095
+    - type: ndcg_at_1
+      value: 28.281
+    - type: ndcg_at_10
+      value: 41.286
+    - type: ndcg_at_100
+      value: 41.277
+    - type: ndcg_at_1000
+      value: 41.277
+    - type: ndcg_at_20
+      value: 41.281
+    - type: ndcg_at_3
+      value: 36.36
+    - type: ndcg_at_5
+      value: 38.275
+    - type: precision_at_1
+      value: 28.281
+    - type: precision_at_10
+      value: 6.451
+    - type: precision_at_100
+      value: 0.645
+    - type: precision_at_1000
+      value: 0.065
+    - type: precision_at_20
+      value: 3.2259999999999995
+    - type: precision_at_3
+      value: 15.895999999999999
+    - type: precision_at_5
+      value: 10.758
+    - type: recall_at_1
+      value: 26.069
+    - type: recall_at_10
+      value: 55.55799999999999
+    - type: recall_at_100
+      value: 55.55799999999999
+    - type: recall_at_1000
+      value: 55.55799999999999
+    - type: recall_at_20
+      value: 55.55799999999999
+    - type: recall_at_3
+      value: 41.929
+    - type: recall_at_5
+      value: 46.577
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 11.675
+    - type: map_at_10
+      value: 21.314
+    - type: map_at_100
+      value: 21.314
+    - type: map_at_1000
+      value: 21.314
+    - type: map_at_20
+      value: 21.314
+    - type: map_at_3
+      value: 17.689
+    - type: map_at_5
+      value: 19.534000000000002
+    - type: mrr_at_1
+      value: 27.101
+    - type: mrr_at_10
+      value: 40.339999999999996
+    - type: mrr_at_100
+      value: 40.339999999999996
+    - type: mrr_at_1000
+      value: 40.339999999999996
+    - type: mrr_at_20
+      value: 40.339999999999996
+    - type: mrr_at_3
+      value: 37.014
+    - type: mrr_at_5
+      value: 39.050000000000004
+    - type: ndcg_at_1
+      value: 27.101
+    - type: ndcg_at_10
+      value: 30.325000000000003
+    - type: ndcg_at_100
+      value: 30.325000000000003
+    - type: ndcg_at_1000
+      value: 30.325000000000003
+    - type: ndcg_at_20
+      value: 30.325000000000003
+    - type: ndcg_at_3
+      value: 24.823
+    - type: ndcg_at_5
+      value: 26.729999999999997
+    - type: precision_at_1
+      value: 27.101
+    - type: precision_at_10
+      value: 9.622
+    - type: precision_at_100
+      value: 0.962
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_20
+      value: 4.811
+    - type: precision_at_3
+      value: 18.958
+    - type: precision_at_5
+      value: 14.527999999999999
+    - type: recall_at_1
+      value: 11.675
+    - type: recall_at_10
+      value: 37.037
+    - type: recall_at_100
+      value: 37.037
+    - type: recall_at_1000
+      value: 37.037
+    - type: recall_at_20
+      value: 37.037
+    - type: recall_at_3
+      value: 23.22
+    - type: recall_at_5
+      value: 28.967
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 9.715
+    - type: map_at_10
+      value: 23.903
+    - type: map_at_100
+      value: 23.903
+    - type: map_at_1000
+      value: 23.903
+    - type: map_at_20
+      value: 23.903
+    - type: map_at_3
+      value: 16.029
+    - type: map_at_5
+      value: 19.276
+    - type: mrr_at_1
+      value: 73.75
+    - type: mrr_at_10
+      value: 81.089
+    - type: mrr_at_100
+      value: 81.089
+    - type: mrr_at_1000
+      value: 81.089
+    - type: mrr_at_20
+      value: 81.089
+    - type: mrr_at_3
+      value: 79.75
+    - type: mrr_at_5
+      value: 80.55
+    - type: ndcg_at_1
+      value: 61.5
+    - type: ndcg_at_10
+      value: 49.027
+    - type: ndcg_at_100
+      value: 37.618
+    - type: ndcg_at_1000
+      value: 37.475
+    - type: ndcg_at_20
+      value: 41.513
+    - type: ndcg_at_3
+      value: 52.624
+    - type: ndcg_at_5
+      value: 50.409000000000006
+    - type: precision_at_1
+      value: 73.75
+    - type: precision_at_10
+      value: 40.025
+    - type: precision_at_100
+      value: 4.002
+    - type: precision_at_1000
+      value: 0.4
+    - type: precision_at_20
+      value: 20.012
+    - type: precision_at_3
+      value: 56.75
+    - type: precision_at_5
+      value: 49.3
+    - type: recall_at_1
+      value: 9.715
+    - type: recall_at_10
+      value: 30.368000000000002
+    - type: recall_at_100
+      value: 30.368000000000002
+    - type: recall_at_1000
+      value: 30.368000000000002
+    - type: recall_at_20
+      value: 30.368000000000002
+    - type: recall_at_3
+      value: 17.512
+    - type: recall_at_5
+      value: 22.381999999999998
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 50.964999999999996
+    - type: f1
+      value: 46.07175136684756
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 79.73400000000001
+    - type: map_at_10
+      value: 86.61999999999999
+    - type: map_at_100
+      value: 86.61999999999999
+    - type: map_at_1000
+      value: 86.61999999999999
+    - type: map_at_20
+      value: 86.61999999999999
+    - type: map_at_3
+      value: 85.774
+    - type: map_at_5
+      value: 86.343
+    - type: mrr_at_1
+      value: 85.884
+    - type: mrr_at_10
+      value: 91.51700000000001
+    - type: mrr_at_100
+      value: 91.51700000000001
+    - type: mrr_at_1000
+      value: 91.51700000000001
+    - type: mrr_at_20
+      value: 91.51700000000001
+    - type: mrr_at_3
+      value: 91.034
+    - type: mrr_at_5
+      value: 91.426
+    - type: ndcg_at_1
+      value: 85.884
+    - type: ndcg_at_10
+      value: 89.791
+    - type: ndcg_at_100
+      value: 89.79
+    - type: ndcg_at_1000
+      value: 89.79
+    - type: ndcg_at_20
+      value: 89.79
+    - type: ndcg_at_3
+      value: 88.593
+    - type: ndcg_at_5
+      value: 89.333
+    - type: precision_at_1
+      value: 85.884
+    - type: precision_at_10
+      value: 10.491999999999999
+    - type: precision_at_100
+      value: 1.049
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_20
+      value: 5.2459999999999996
+    - type: precision_at_3
+      value: 33.312999999999995
+    - type: precision_at_5
+      value: 20.516000000000002
+    - type: recall_at_1
+      value: 79.73400000000001
+    - type: recall_at_10
+      value: 94.797
+    - type: recall_at_100
+      value: 94.797
+    - type: recall_at_1000
+      value: 94.797
+    - type: recall_at_20
+      value: 94.797
+    - type: recall_at_3
+      value: 91.475
+    - type: recall_at_5
+      value: 93.46900000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 27.916
+    - type: map_at_10
+      value: 45.756
+    - type: map_at_100
+      value: 45.756
+    - type: map_at_1000
+      value: 45.756
+    - type: map_at_20
+      value: 45.756
+    - type: map_at_3
+      value: 40.275
+    - type: map_at_5
+      value: 43.324
+    - type: mrr_at_1
+      value: 52.778000000000006
+    - type: mrr_at_10
+      value: 61.39
+    - type: mrr_at_100
+      value: 61.39
+    - type: mrr_at_1000
+      value: 61.39
+    - type: mrr_at_20
+      value: 61.39
+    - type: mrr_at_3
+      value: 59.541999999999994
+    - type: mrr_at_5
+      value: 60.661
+    - type: ndcg_at_1
+      value: 52.778000000000006
+    - type: ndcg_at_10
+      value: 53.823
+    - type: ndcg_at_100
+      value: 53.757999999999996
+    - type: ndcg_at_1000
+      value: 53.757999999999996
+    - type: ndcg_at_20
+      value: 53.757999999999996
+    - type: ndcg_at_3
+      value: 50.063
+    - type: ndcg_at_5
+      value: 51.224000000000004
+    - type: precision_at_1
+      value: 52.778000000000006
+    - type: precision_at_10
+      value: 14.691
+    - type: precision_at_100
+      value: 1.469
+    - type: precision_at_1000
+      value: 0.147
+    - type: precision_at_20
+      value: 7.346
+    - type: precision_at_3
+      value: 33.333
+    - type: precision_at_5
+      value: 24.227999999999998
+    - type: recall_at_1
+      value: 27.916
+    - type: recall_at_10
+      value: 60.638000000000005
+    - type: recall_at_100
+      value: 60.638000000000005
+    - type: recall_at_1000
+      value: 60.638000000000005
+    - type: recall_at_20
+      value: 60.638000000000005
+    - type: recall_at_3
+      value: 45.992
+    - type: recall_at_5
+      value: 52.413
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 40.284
+    - type: map_at_10
+      value: 69.45700000000001
+    - type: map_at_100
+      value: 69.45700000000001
+    - type: map_at_1000
+      value: 69.45700000000001
+    - type: map_at_20
+      value: 69.45700000000001
+    - type: map_at_3
+      value: 65.689
+    - type: map_at_5
+      value: 68.186
+    - type: mrr_at_1
+      value: 80.567
+    - type: mrr_at_10
+      value: 86.39099999999999
+    - type: mrr_at_100
+      value: 86.39099999999999
+    - type: mrr_at_1000
+      value: 86.39099999999999
+    - type: mrr_at_20
+      value: 86.39099999999999
+    - type: mrr_at_3
+      value: 85.53500000000001
+    - type: mrr_at_5
+      value: 86.095
+    - type: ndcg_at_1
+      value: 80.567
+    - type: ndcg_at_10
+      value: 76.81700000000001
+    - type: ndcg_at_100
+      value: 76.81700000000001
+    - type: ndcg_at_1000
+      value: 76.81700000000001
+    - type: ndcg_at_20
+      value: 76.81700000000001
+    - type: ndcg_at_3
+      value: 71.696
+    - type: ndcg_at_5
+      value: 74.736
+    - type: precision_at_1
+      value: 80.567
+    - type: precision_at_10
+      value: 16.359
+    - type: precision_at_100
+      value: 1.636
+    - type: precision_at_1000
+      value: 0.164
+    - type: precision_at_20
+      value: 8.18
+    - type: precision_at_3
+      value: 47.089999999999996
+    - type: precision_at_5
+      value: 30.639
+    - type: recall_at_1
+      value: 40.284
+    - type: recall_at_10
+      value: 81.796
+    - type: recall_at_100
+      value: 81.796
+    - type: recall_at_1000
+      value: 81.796
+    - type: recall_at_20
+      value: 81.796
+    - type: recall_at_3
+      value: 70.635
+    - type: recall_at_5
+      value: 76.59700000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 89.42760000000001
+    - type: ap
+      value: 85.65673213756732
+    - type: f1
+      value: 89.39873631717961
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 19.54
+    - type: map_at_10
+      value: 32.481
+    - type: map_at_100
+      value: 32.481
+    - type: map_at_1000
+      value: 32.481
+    - type: map_at_20
+      value: 32.481
+    - type: map_at_3
+      value: 28.083000000000002
+    - type: map_at_5
+      value: 30.580000000000002
+    - type: mrr_at_1
+      value: 20.115
+    - type: mrr_at_10
+      value: 33.034
+    - type: mrr_at_100
+      value: 33.034
+    - type: mrr_at_1000
+      value: 33.034
+    - type: mrr_at_20
+      value: 33.034
+    - type: mrr_at_3
+      value: 28.755999999999997
+    - type: mrr_at_5
+      value: 31.195
+    - type: ndcg_at_1
+      value: 20.115
+    - type: ndcg_at_10
+      value: 40.006
+    - type: ndcg_at_100
+      value: 40.006
+    - type: ndcg_at_1000
+      value: 40.006
+    - type: ndcg_at_20
+      value: 40.006
+    - type: ndcg_at_3
+      value: 31.080000000000002
+    - type: ndcg_at_5
+      value: 35.524
+    - type: precision_at_1
+      value: 20.115
+    - type: precision_at_10
+      value: 6.638
+    - type: precision_at_100
+      value: 0.664
+    - type: precision_at_1000
+      value: 0.066
+    - type: precision_at_20
+      value: 3.319
+    - type: precision_at_3
+      value: 13.553
+    - type: precision_at_5
+      value: 10.384
+    - type: recall_at_1
+      value: 19.54
+    - type: recall_at_10
+      value: 63.344
+    - type: recall_at_100
+      value: 63.344
+    - type: recall_at_1000
+      value: 63.344
+    - type: recall_at_20
+      value: 63.344
+    - type: recall_at_3
+      value: 39.080999999999996
+    - type: recall_at_5
+      value: 49.769999999999996
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 96.67578659370726
+    - type: f1
+      value: 96.44660736409732
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 85.4719562243502
+    - type: f1
+      value: 70.478731125108
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 80.0268997982515
+    - type: f1
+      value: 77.36851682955398
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 82.77740416946872
+    - type: f1
+      value: 82.36168633333541
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.90073967924184
+    - 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: 32.304535976211284
+    - 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: 32.030630164228974
+    - type: mrr
+      value: 33.18900877896056
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 7.213
+    - type: map_at_10
+      value: 15.870999999999999
+    - type: map_at_100
+      value: 15.870999999999999
+    - type: map_at_1000
+      value: 15.870999999999999
+    - type: map_at_20
+      value: 15.870999999999999
+    - type: map_at_3
+      value: 11.447000000000001
+    - type: map_at_5
+      value: 13.669
+    - type: mrr_at_1
+      value: 53.87
+    - type: mrr_at_10
+      value: 62.117999999999995
+    - type: mrr_at_100
+      value: 62.117999999999995
+    - type: mrr_at_1000
+      value: 62.117999999999995
+    - type: mrr_at_20
+      value: 62.117999999999995
+    - type: mrr_at_3
+      value: 60.01
+    - type: mrr_at_5
+      value: 61.480999999999995
+    - type: ndcg_at_1
+      value: 51.702999999999996
+    - type: ndcg_at_10
+      value: 40.859
+    - type: ndcg_at_100
+      value: 26.623
+    - type: ndcg_at_1000
+      value: 26.141
+    - type: ndcg_at_20
+      value: 32.744
+    - type: ndcg_at_3
+      value: 47.146
+    - type: ndcg_at_5
+      value: 44.887
+    - type: precision_at_1
+      value: 53.251000000000005
+    - type: precision_at_10
+      value: 30.092999999999996
+    - type: precision_at_100
+      value: 3.009
+    - type: precision_at_1000
+      value: 0.301
+    - type: precision_at_20
+      value: 15.046000000000001
+    - type: precision_at_3
+      value: 43.963
+    - type: precision_at_5
+      value: 39.009
+    - type: recall_at_1
+      value: 7.213
+    - type: recall_at_10
+      value: 19.909
+    - type: recall_at_100
+      value: 19.909
+    - type: recall_at_1000
+      value: 19.909
+    - type: recall_at_20
+      value: 19.909
+    - type: recall_at_3
+      value: 12.46
+    - type: recall_at_5
+      value: 16.107
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 38.688
+    - type: map_at_10
+      value: 56.261
+    - type: map_at_100
+      value: 56.261
+    - type: map_at_1000
+      value: 56.261
+    - type: map_at_20
+      value: 56.261
+    - type: map_at_3
+      value: 51.989
+    - type: map_at_5
+      value: 54.569
+    - type: mrr_at_1
+      value: 43.656
+    - type: mrr_at_10
+      value: 58.677
+    - type: mrr_at_100
+      value: 58.677
+    - type: mrr_at_1000
+      value: 58.677
+    - type: mrr_at_20
+      value: 58.677
+    - type: mrr_at_3
+      value: 55.456
+    - type: mrr_at_5
+      value: 57.391999999999996
+    - type: ndcg_at_1
+      value: 43.656
+    - type: ndcg_at_10
+      value: 64.149
+    - type: ndcg_at_100
+      value: 64.149
+    - type: ndcg_at_1000
+      value: 64.149
+    - type: ndcg_at_20
+      value: 64.149
+    - type: ndcg_at_3
+      value: 56.458
+    - type: ndcg_at_5
+      value: 60.556
+    - type: precision_at_1
+      value: 43.656
+    - type: precision_at_10
+      value: 10.242999999999999
+    - type: precision_at_100
+      value: 1.024
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_20
+      value: 5.122
+    - type: precision_at_3
+      value: 25.657000000000004
+    - type: precision_at_5
+      value: 17.827
+    - type: recall_at_1
+      value: 38.688
+    - type: recall_at_10
+      value: 85.492
+    - type: recall_at_100
+      value: 85.492
+    - type: recall_at_1000
+      value: 85.492
+    - type: recall_at_20
+      value: 85.492
+    - type: recall_at_3
+      value: 65.86800000000001
+    - type: recall_at_5
+      value: 75.157
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+    metrics:
+    - type: map_at_1
+      value: 71.178
+    - type: map_at_10
+      value: 85.453
+    - type: map_at_100
+      value: 85.453
+    - type: map_at_1000
+      value: 85.453
+    - type: map_at_20
+      value: 85.453
+    - type: map_at_3
+      value: 82.494
+    - type: map_at_5
+      value: 84.384
+    - type: mrr_at_1
+      value: 82.04
+    - type: mrr_at_10
+      value: 88.02600000000001
+    - type: mrr_at_100
+      value: 88.02600000000001
+    - type: mrr_at_1000
+      value: 88.02600000000001
+    - type: mrr_at_20
+      value: 88.02600000000001
+    - type: mrr_at_3
+      value: 87.118
+    - type: mrr_at_5
+      value: 87.74300000000001
+    - type: ndcg_at_1
+      value: 82.05
+    - type: ndcg_at_10
+      value: 88.986
+    - type: ndcg_at_100
+      value: 88.85300000000001
+    - type: ndcg_at_1000
+      value: 88.85300000000001
+    - type: ndcg_at_20
+      value: 88.874
+    - type: ndcg_at_3
+      value: 86.253
+    - type: ndcg_at_5
+      value: 87.803
+    - type: precision_at_1
+      value: 82.05
+    - type: precision_at_10
+      value: 13.566
+    - type: precision_at_100
+      value: 1.357
+    - type: precision_at_1000
+      value: 0.136
+    - type: precision_at_20
+      value: 6.783
+    - type: precision_at_3
+      value: 37.857
+    - type: precision_at_5
+      value: 24.942
+    - type: recall_at_1
+      value: 71.178
+    - type: recall_at_10
+      value: 95.771
+    - type: recall_at_100
+      value: 95.771
+    - type: recall_at_1000
+      value: 95.771
+    - type: recall_at_20
+      value: 95.771
+    - type: recall_at_3
+      value: 87.935
+    - type: recall_at_5
+      value: 92.293
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 62.0337414310567
+    - 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: 64.90650880132416
+    - 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: 5.378
+    - type: map_at_10
+      value: 14.246
+    - type: map_at_100
+      value: 14.246
+    - type: map_at_1000
+      value: 14.246
+    - type: map_at_20
+      value: 14.246
+    - type: map_at_3
+      value: 10.168000000000001
+    - type: map_at_5
+      value: 12.107999999999999
+    - type: mrr_at_1
+      value: 26.5
+    - type: mrr_at_10
+      value: 38.282
+    - type: mrr_at_100
+      value: 38.282
+    - type: mrr_at_1000
+      value: 38.282
+    - type: mrr_at_20
+      value: 38.282
+    - type: mrr_at_3
+      value: 35.283
+    - type: mrr_at_5
+      value: 36.742999999999995
+    - type: ndcg_at_1
+      value: 26.5
+    - type: ndcg_at_10
+      value: 23.342
+    - type: ndcg_at_100
+      value: 23.342
+    - type: ndcg_at_1000
+      value: 23.342
+    - type: ndcg_at_20
+      value: 23.342
+    - type: ndcg_at_3
+      value: 22.426
+    - type: ndcg_at_5
+      value: 19.326999999999998
+    - type: precision_at_1
+      value: 26.5
+    - type: precision_at_10
+      value: 12.2
+    - type: precision_at_100
+      value: 1.22
+    - type: precision_at_1000
+      value: 0.122
+    - type: precision_at_20
+      value: 6.1
+    - type: precision_at_3
+      value: 21.367
+    - type: precision_at_5
+      value: 17.1
+    - type: recall_at_1
+      value: 5.378
+    - type: recall_at_10
+      value: 24.725
+    - type: recall_at_100
+      value: 24.725
+    - type: recall_at_1000
+      value: 24.725
+    - type: recall_at_20
+      value: 24.725
+    - type: recall_at_3
+      value: 12.998000000000001
+    - type: recall_at_5
+      value: 17.337
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.15886131719716
+    - type: cos_sim_spearman
+      value: 83.36422679444524
+    - type: euclidean_pearson
+      value: 83.60722543060551
+    - type: euclidean_spearman
+      value: 83.36615167108201
+    - type: manhattan_pearson
+      value: 83.49779776169743
+    - type: manhattan_spearman
+      value: 83.2970912000804
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.00040631393384
+    - type: cos_sim_spearman
+      value: 79.88695146958382
+    - type: euclidean_pearson
+      value: 82.87830951101813
+    - type: euclidean_spearman
+      value: 78.81342612822002
+    - type: manhattan_pearson
+      value: 83.27329725748622
+    - type: manhattan_spearman
+      value: 79.24487142779232
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.46403674552138
+    - type: cos_sim_spearman
+      value: 88.3968038981169
+    - type: euclidean_pearson
+      value: 87.9867395305952
+    - type: euclidean_spearman
+      value: 88.50084925112196
+    - type: manhattan_pearson
+      value: 87.84826650949114
+    - type: manhattan_spearman
+      value: 88.4264633694987
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.33051578266844
+    - type: cos_sim_spearman
+      value: 85.96906608318722
+    - type: euclidean_pearson
+      value: 86.08087652971557
+    - type: euclidean_spearman
+      value: 86.2871150658858
+    - type: manhattan_pearson
+      value: 85.96247026170943
+    - type: manhattan_spearman
+      value: 86.348084535251
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.65021183240658
+    - type: cos_sim_spearman
+      value: 90.01036051355563
+    - type: euclidean_pearson
+      value: 89.34610124059546
+    - type: euclidean_spearman
+      value: 89.89816462250603
+    - type: manhattan_pearson
+      value: 89.45034332532651
+    - type: manhattan_spearman
+      value: 90.12149502943
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.38445171139439
+    - type: cos_sim_spearman
+      value: 88.06405772882476
+    - type: euclidean_pearson
+      value: 87.1032900128079
+    - type: euclidean_spearman
+      value: 87.86639736438771
+    - type: manhattan_pearson
+      value: 87.25501396297628
+    - type: manhattan_spearman
+      value: 88.01175383067931
+  - 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: 89.51886071808445
+    - type: cos_sim_spearman
+      value: 89.05111168557342
+    - type: euclidean_pearson
+      value: 89.8619983583313
+    - type: euclidean_spearman
+      value: 89.57381411572374
+    - type: manhattan_pearson
+      value: 89.54097114512615
+    - type: manhattan_spearman
+      value: 89.0124029528803
+  - 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: 69.11659818631864
+    - type: cos_sim_spearman
+      value: 68.73933790764565
+    - type: euclidean_pearson
+      value: 69.3608440231078
+    - type: euclidean_spearman
+      value: 68.25989021427226
+    - type: manhattan_pearson
+      value: 69.32307009511591
+    - type: manhattan_spearman
+      value: 68.2229407569999
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.70774882997117
+    - type: cos_sim_spearman
+      value: 88.6908929434652
+    - type: euclidean_pearson
+      value: 88.2222605477348
+    - type: euclidean_spearman
+      value: 88.66834657653354
+    - type: manhattan_pearson
+      value: 88.0806219722353
+    - type: manhattan_spearman
+      value: 88.63261072811657
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 86.40231391278195
+    - type: mrr
+      value: 96.52358806770572
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 61.828
+    - type: map_at_10
+      value: 73.262
+    - type: map_at_100
+      value: 73.262
+    - type: map_at_1000
+      value: 73.262
+    - type: map_at_20
+      value: 73.262
+    - type: map_at_3
+      value: 70.61500000000001
+    - type: map_at_5
+      value: 72.18900000000001
+    - type: mrr_at_1
+      value: 65.0
+    - type: mrr_at_10
+      value: 74.223
+    - type: mrr_at_100
+      value: 74.223
+    - type: mrr_at_1000
+      value: 74.223
+    - type: mrr_at_20
+      value: 74.223
+    - type: mrr_at_3
+      value: 72.38900000000001
+    - type: mrr_at_5
+      value: 73.30600000000001
+    - type: ndcg_at_1
+      value: 65.0
+    - type: ndcg_at_10
+      value: 78.02799999999999
+    - type: ndcg_at_100
+      value: 78.02799999999999
+    - type: ndcg_at_1000
+      value: 78.02799999999999
+    - type: ndcg_at_20
+      value: 78.02799999999999
+    - type: ndcg_at_3
+      value: 73.73100000000001
+    - type: ndcg_at_5
+      value: 75.652
+    - type: precision_at_1
+      value: 65.0
+    - type: precision_at_10
+      value: 10.333
+    - type: precision_at_100
+      value: 1.0330000000000001
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_20
+      value: 5.167
+    - type: precision_at_3
+      value: 29.110999999999997
+    - type: precision_at_5
+      value: 18.933
+    - type: recall_at_1
+      value: 61.828
+    - type: recall_at_10
+      value: 91.656
+    - type: recall_at_100
+      value: 91.656
+    - type: recall_at_1000
+      value: 91.656
+    - type: recall_at_20
+      value: 91.656
+    - type: recall_at_3
+      value: 79.767
+    - type: recall_at_5
+      value: 84.60600000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.84257425742574
+    - type: cos_sim_ap
+      value: 96.37616198293242
+    - type: cos_sim_f1
+      value: 91.92483494159471
+    - type: cos_sim_precision
+      value: 93.3952528379773
+    - type: cos_sim_recall
+      value: 90.5
+    - type: dot_accuracy
+      value: 99.75544554455446
+    - type: dot_ap
+      value: 93.95361847363756
+    - type: dot_f1
+      value: 87.66849725411883
+    - type: dot_precision
+      value: 87.53738783649054
+    - type: dot_recall
+      value: 87.8
+    - type: euclidean_accuracy
+      value: 99.84257425742574
+    - type: euclidean_ap
+      value: 96.24059702931834
+    - type: euclidean_f1
+      value: 91.93302891933028
+    - type: euclidean_precision
+      value: 93.3058702368692
+    - type: euclidean_recall
+      value: 90.60000000000001
+    - type: manhattan_accuracy
+      value: 99.84752475247525
+    - type: manhattan_ap
+      value: 96.37270807643512
+    - type: manhattan_f1
+      value: 92.13483146067415
+    - type: manhattan_precision
+      value: 94.1544885177453
+    - type: manhattan_recall
+      value: 90.2
+    - type: max_accuracy
+      value: 99.84752475247525
+    - type: max_ap
+      value: 96.37616198293242
+    - type: max_f1
+      value: 92.13483146067415
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 71.17621756822422
+    - 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: 34.84294873831607
+    - 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: 55.93707898596513
+    - type: mrr
+      value: 57.00651472710297
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.351178802339017
+    - type: cos_sim_spearman
+      value: 30.93982299939136
+    - type: dot_pearson
+      value: 28.32212875009798
+    - type: dot_spearman
+      value: 30.378331720649506
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+    metrics:
+    - type: map_at_1
+      value: 0.23700000000000002
+    - type: map_at_10
+      value: 1.9689999999999999
+    - type: map_at_100
+      value: 1.9689999999999999
+    - type: map_at_1000
+      value: 1.9689999999999999
+    - type: map_at_20
+      value: 1.9689999999999999
+    - type: map_at_3
+      value: 0.654
+    - type: map_at_5
+      value: 1.06
+    - type: mrr_at_1
+      value: 90.0
+    - type: mrr_at_10
+      value: 94.333
+    - type: mrr_at_100
+      value: 94.333
+    - type: mrr_at_1000
+      value: 94.333
+    - type: mrr_at_20
+      value: 94.333
+    - type: mrr_at_3
+      value: 94.333
+    - type: mrr_at_5
+      value: 94.333
+    - type: ndcg_at_1
+      value: 86.0
+    - type: ndcg_at_10
+      value: 79.069
+    - type: ndcg_at_100
+      value: 17.387
+    - type: ndcg_at_1000
+      value: 7.374
+    - type: ndcg_at_20
+      value: 51.028
+    - type: ndcg_at_3
+      value: 83.693
+    - type: ndcg_at_5
+      value: 82.56700000000001
+    - type: precision_at_1
+      value: 90.0
+    - type: precision_at_10
+      value: 82.0
+    - type: precision_at_100
+      value: 8.200000000000001
+    - type: precision_at_1000
+      value: 0.8200000000000001
+    - type: precision_at_20
+      value: 41.0
+    - type: precision_at_3
+      value: 87.333
+    - type: precision_at_5
+      value: 85.6
+    - type: recall_at_1
+      value: 0.23700000000000002
+    - type: recall_at_10
+      value: 2.154
+    - type: recall_at_100
+      value: 2.154
+    - type: recall_at_1000
+      value: 2.154
+    - type: recall_at_20
+      value: 2.154
+    - type: recall_at_3
+      value: 0.685
+    - type: recall_at_5
+      value: 1.124
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.703
+    - type: map_at_10
+      value: 9.223
+    - type: map_at_100
+      value: 9.223
+    - type: map_at_1000
+      value: 9.223
+    - type: map_at_20
+      value: 9.223
+    - type: map_at_3
+      value: 5.239
+    - type: map_at_5
+      value: 6.635000000000001
+    - type: mrr_at_1
+      value: 34.694
+    - type: mrr_at_10
+      value: 45.578
+    - type: mrr_at_100
+      value: 45.578
+    - type: mrr_at_1000
+      value: 45.578
+    - type: mrr_at_20
+      value: 45.578
+    - type: mrr_at_3
+      value: 42.516999999999996
+    - type: mrr_at_5
+      value: 44.864
+    - type: ndcg_at_1
+      value: 32.653
+    - type: ndcg_at_10
+      value: 22.653000000000002
+    - type: ndcg_at_100
+      value: 18.984
+    - type: ndcg_at_1000
+      value: 18.984
+    - type: ndcg_at_20
+      value: 19.167
+    - type: ndcg_at_3
+      value: 26.177
+    - type: ndcg_at_5
+      value: 24.663
+    - type: precision_at_1
+      value: 34.694
+    - type: precision_at_10
+      value: 18.98
+    - type: precision_at_100
+      value: 1.8980000000000001
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_20
+      value: 9.49
+    - type: precision_at_3
+      value: 25.85
+    - type: precision_at_5
+      value: 23.673
+    - type: recall_at_1
+      value: 2.703
+    - type: recall_at_10
+      value: 14.594999999999999
+    - type: recall_at_100
+      value: 14.594999999999999
+    - type: recall_at_1000
+      value: 14.594999999999999
+    - type: recall_at_20
+      value: 14.594999999999999
+    - type: recall_at_3
+      value: 5.946
+    - type: recall_at_5
+      value: 8.683
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 65.673828125
+    - type: ap
+      value: 12.447736297176911
+    - type: f1
+      value: 50.78594018688396
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.60611205432938
+    - type: f1
+      value: 62.82045205162571
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 54.37082277640638
+    - type: v_measures
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0.5377871032281346]
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.86570900637778
+    - type: cos_sim_ap
+      value: 82.37268769366939
+    - type: cos_sim_f1
+      value: 74.7083775185578
+    - type: cos_sim_precision
+      value: 75.06659563132658
+    - type: cos_sim_recall
+      value: 74.35356200527704
+    - type: dot_accuracy
+      value: 86.2609524944865
+    - type: dot_ap
+      value: 74.8055407969579
+    - type: dot_f1
+      value: 68.9965903555772
+    - type: dot_precision
+      value: 64.06603346901855
+    - type: dot_recall
+      value: 74.74934036939314
+    - type: euclidean_accuracy
+      value: 88.85974846516064
+    - type: euclidean_ap
+      value: 82.41589558001058
+    - type: euclidean_f1
+      value: 74.70888394609446
+    - type: euclidean_precision
+      value: 74.09810537243706
+    - type: euclidean_recall
+      value: 75.32981530343008
+    - type: manhattan_accuracy
+      value: 88.71669547594921
+    - type: manhattan_ap
+      value: 82.2077641402819
+    - type: manhattan_f1
+      value: 74.43037974683546
+    - type: manhattan_precision
+      value: 75.18169582772543
+    - type: manhattan_recall
+      value: 73.6939313984169
+    - type: max_accuracy
+      value: 88.86570900637778
+    - type: max_ap
+      value: 82.41589558001058
+    - type: max_f1
+      value: 74.70888394609446
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.67283735009897
+    - type: cos_sim_ap
+      value: 87.24295583945482
+    - type: cos_sim_f1
+      value: 79.91967871485943
+    - type: cos_sim_precision
+      value: 77.28711162255466
+    - type: cos_sim_recall
+      value: 82.73791191869418
+    - type: dot_accuracy
+      value: 88.57259285132145
+    - type: dot_ap
+      value: 84.94911679167208
+    - type: dot_f1
+      value: 78.03707259434312
+    - type: dot_precision
+      value: 74.97516673761885
+    - type: dot_recall
+      value: 81.35971666153372
+    - type: euclidean_accuracy
+      value: 89.65925408468196
+    - type: euclidean_ap
+      value: 87.20753315344663
+    - type: euclidean_f1
+      value: 79.88855487939
+    - type: euclidean_precision
+      value: 76.24912526242127
+    - type: euclidean_recall
+      value: 83.89282414536495
+    - type: manhattan_accuracy
+      value: 89.62626615438352
+    - type: manhattan_ap
+      value: 87.25477616369629
+    - type: manhattan_f1
+      value: 79.90573332842362
+    - type: manhattan_precision
+      value: 76.5756228385913
+    - type: manhattan_recall
+      value: 83.53865106251925
+    - type: max_accuracy
+      value: 89.67283735009897
+    - type: max_ap
+      value: 87.25477616369629
+    - type: max_f1
+      value: 79.91967871485943
 ---
 
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-### Framework versions
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\ No newline at end of file
+---
+Private dataset
+---