diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -1 +1,2893 @@
+---
+tags:
+- mteb
+model-index:
+- name: 0523_mistralv2_sum3echo512_bbcc_8_16_16
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 79.65671641791045
+    - type: ap
+      value: 44.24063991266868
+    - type: f1
+      value: 73.91766997954294
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 94.480125
+    - type: ap
+      value: 92.21829806116952
+    - type: f1
+      value: 94.47801150800291
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.157999999999994
+    - type: f1
+      value: 47.11858175135973
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 31.935000000000002
+    - type: map_at_10
+      value: 49.482
+    - type: map_at_100
+      value: 49.482
+    - type: map_at_1000
+      value: 49.482
+    - type: map_at_20
+      value: 49.482
+    - type: map_at_3
+      value: 44.464
+    - type: map_at_5
+      value: 47.569
+    - type: mrr_at_1
+      value: 33.001000000000005
+    - type: mrr_at_10
+      value: 49.989
+    - type: mrr_at_100
+      value: 49.989
+    - type: mrr_at_1000
+      value: 49.989
+    - type: mrr_at_20
+      value: 49.989
+    - type: mrr_at_3
+      value: 44.903
+    - type: mrr_at_5
+      value: 48.054
+    - type: ndcg_at_1
+      value: 31.935000000000002
+    - type: ndcg_at_10
+      value: 58.819
+    - type: ndcg_at_100
+      value: 58.819
+    - type: ndcg_at_1000
+      value: 58.819
+    - type: ndcg_at_20
+      value: 58.819
+    - type: ndcg_at_3
+      value: 48.620000000000005
+    - type: ndcg_at_5
+      value: 54.230000000000004
+    - type: precision_at_1
+      value: 31.935000000000002
+    - type: precision_at_10
+      value: 8.841000000000001
+    - type: precision_at_100
+      value: 0.8840000000000001
+    - type: precision_at_1000
+      value: 0.08800000000000001
+    - type: precision_at_20
+      value: 4.42
+    - type: precision_at_3
+      value: 20.223
+    - type: precision_at_5
+      value: 14.865
+    - type: recall_at_1
+      value: 31.935000000000002
+    - type: recall_at_10
+      value: 88.407
+    - type: recall_at_100
+      value: 88.407
+    - type: recall_at_1000
+      value: 88.407
+    - type: recall_at_20
+      value: 88.407
+    - type: recall_at_3
+      value: 60.669
+    - type: recall_at_5
+      value: 74.324
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 48.7848435754835
+    - 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: 46.10665257880071
+    - 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: 66.7285956124022
+    - type: mrr
+      value: 79.72233214615486
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.73245869702066
+    - type: cos_sim_spearman
+      value: 87.28451895745819
+    - type: euclidean_pearson
+      value: 86.44569617089661
+    - type: euclidean_spearman
+      value: 86.7236628044763
+    - type: manhattan_pearson
+      value: 86.50853979799092
+    - type: manhattan_spearman
+      value: 86.75920578302187
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.91233766233766
+    - type: f1
+      value: 88.86315189747688
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 38.7850808112868
+    - 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: 37.37318034700008
+    - 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: 39.232
+    - type: map_at_10
+      value: 53.04299999999999
+    - type: map_at_100
+      value: 53.04299999999999
+    - type: map_at_1000
+      value: 53.04299999999999
+    - type: map_at_20
+      value: 53.04299999999999
+    - type: map_at_3
+      value: 48.588
+    - type: map_at_5
+      value: 51.17699999999999
+    - type: mrr_at_1
+      value: 49.356
+    - type: mrr_at_10
+      value: 59.550000000000004
+    - type: mrr_at_100
+      value: 59.550000000000004
+    - type: mrr_at_1000
+      value: 59.550000000000004
+    - type: mrr_at_20
+      value: 59.550000000000004
+    - type: mrr_at_3
+      value: 56.986000000000004
+    - type: mrr_at_5
+      value: 58.638999999999996
+    - type: ndcg_at_1
+      value: 49.356
+    - type: ndcg_at_10
+      value: 60.156
+    - type: ndcg_at_100
+      value: 59.714999999999996
+    - type: ndcg_at_1000
+      value: 59.699000000000005
+    - type: ndcg_at_20
+      value: 59.831
+    - type: ndcg_at_3
+      value: 54.75299999999999
+    - type: ndcg_at_5
+      value: 57.443999999999996
+    - type: precision_at_1
+      value: 49.356
+    - type: precision_at_10
+      value: 11.86
+    - type: precision_at_100
+      value: 1.1860000000000002
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_20
+      value: 5.93
+    - type: precision_at_3
+      value: 26.895999999999997
+    - type: precision_at_5
+      value: 19.570999999999998
+    - type: recall_at_1
+      value: 39.232
+    - type: recall_at_10
+      value: 72.98400000000001
+    - type: recall_at_100
+      value: 72.98400000000001
+    - type: recall_at_1000
+      value: 72.98400000000001
+    - type: recall_at_20
+      value: 72.98400000000001
+    - type: recall_at_3
+      value: 56.213
+    - type: recall_at_5
+      value: 64.318
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 37.157000000000004
+    - type: map_at_10
+      value: 49.512
+    - type: map_at_100
+      value: 49.512
+    - type: map_at_1000
+      value: 49.512
+    - type: map_at_20
+      value: 49.512
+    - type: map_at_3
+      value: 46.099000000000004
+    - type: map_at_5
+      value: 48.061
+    - type: mrr_at_1
+      value: 47.516000000000005
+    - type: mrr_at_10
+      value: 55.803999999999995
+    - type: mrr_at_100
+      value: 55.803999999999995
+    - type: mrr_at_1000
+      value: 55.803999999999995
+    - type: mrr_at_20
+      value: 55.803999999999995
+    - type: mrr_at_3
+      value: 53.885000000000005
+    - type: mrr_at_5
+      value: 54.967999999999996
+    - type: ndcg_at_1
+      value: 47.516000000000005
+    - type: ndcg_at_10
+      value: 55.386
+    - type: ndcg_at_100
+      value: 54.952
+    - type: ndcg_at_1000
+      value: 54.952
+    - type: ndcg_at_20
+      value: 55.07300000000001
+    - type: ndcg_at_3
+      value: 51.458000000000006
+    - type: ndcg_at_5
+      value: 53.189
+    - type: precision_at_1
+      value: 47.516000000000005
+    - type: precision_at_10
+      value: 10.567
+    - type: precision_at_100
+      value: 1.057
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_20
+      value: 5.283
+    - type: precision_at_3
+      value: 25.393
+    - type: precision_at_5
+      value: 17.656
+    - type: recall_at_1
+      value: 37.157000000000004
+    - type: recall_at_10
+      value: 65.026
+    - type: recall_at_100
+      value: 65.026
+    - type: recall_at_1000
+      value: 65.026
+    - type: recall_at_20
+      value: 65.026
+    - type: recall_at_3
+      value: 52.36300000000001
+    - type: recall_at_5
+      value: 57.989999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 48.522999999999996
+    - type: map_at_10
+      value: 62.844
+    - type: map_at_100
+      value: 62.844
+    - type: map_at_1000
+      value: 62.844
+    - type: map_at_20
+      value: 62.844
+    - type: map_at_3
+      value: 59.150999999999996
+    - type: map_at_5
+      value: 61.403
+    - type: mrr_at_1
+      value: 55.925000000000004
+    - type: mrr_at_10
+      value: 66.113
+    - type: mrr_at_100
+      value: 66.113
+    - type: mrr_at_1000
+      value: 66.113
+    - type: mrr_at_20
+      value: 66.113
+    - type: mrr_at_3
+      value: 63.783
+    - type: mrr_at_5
+      value: 65.212
+    - type: ndcg_at_1
+      value: 55.925000000000004
+    - type: ndcg_at_10
+      value: 68.869
+    - type: ndcg_at_100
+      value: 68.774
+    - type: ndcg_at_1000
+      value: 68.774
+    - type: ndcg_at_20
+      value: 68.777
+    - type: ndcg_at_3
+      value: 63.31400000000001
+    - type: ndcg_at_5
+      value: 66.247
+    - type: precision_at_1
+      value: 55.925000000000004
+    - type: precision_at_10
+      value: 10.997
+    - type: precision_at_100
+      value: 1.0999999999999999
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_20
+      value: 5.498
+    - type: precision_at_3
+      value: 28.359
+    - type: precision_at_5
+      value: 19.386
+    - type: recall_at_1
+      value: 48.522999999999996
+    - type: recall_at_10
+      value: 83.045
+    - type: recall_at_100
+      value: 83.045
+    - type: recall_at_1000
+      value: 83.045
+    - type: recall_at_20
+      value: 83.045
+    - type: recall_at_3
+      value: 68.449
+    - type: recall_at_5
+      value: 75.62100000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 30.726
+    - type: map_at_10
+      value: 40.433
+    - type: map_at_100
+      value: 40.433
+    - type: map_at_1000
+      value: 40.433
+    - type: map_at_20
+      value: 40.433
+    - type: map_at_3
+      value: 37.135
+    - type: map_at_5
+      value: 39.17
+    - type: mrr_at_1
+      value: 33.672000000000004
+    - type: mrr_at_10
+      value: 42.836
+    - type: mrr_at_100
+      value: 42.836
+    - type: mrr_at_1000
+      value: 42.836
+    - type: mrr_at_20
+      value: 42.836
+    - type: mrr_at_3
+      value: 39.755
+    - type: mrr_at_5
+      value: 41.631
+    - type: ndcg_at_1
+      value: 33.672000000000004
+    - type: ndcg_at_10
+      value: 46.092
+    - type: ndcg_at_100
+      value: 46.092
+    - type: ndcg_at_1000
+      value: 46.092
+    - type: ndcg_at_20
+      value: 46.092
+    - type: ndcg_at_3
+      value: 39.797
+    - type: ndcg_at_5
+      value: 43.171
+    - type: precision_at_1
+      value: 33.672000000000004
+    - type: precision_at_10
+      value: 7.073
+    - type: precision_at_100
+      value: 0.707
+    - type: precision_at_1000
+      value: 0.07100000000000001
+    - type: precision_at_20
+      value: 3.537
+    - type: precision_at_3
+      value: 16.648
+    - type: precision_at_5
+      value: 11.91
+    - type: recall_at_1
+      value: 30.726
+    - type: recall_at_10
+      value: 61.24000000000001
+    - type: recall_at_100
+      value: 61.24000000000001
+    - type: recall_at_1000
+      value: 61.24000000000001
+    - type: recall_at_20
+      value: 61.24000000000001
+    - type: recall_at_3
+      value: 44.557
+    - type: recall_at_5
+      value: 52.608999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 21.554000000000002
+    - type: map_at_10
+      value: 31.508000000000003
+    - type: map_at_100
+      value: 31.508000000000003
+    - type: map_at_1000
+      value: 31.508000000000003
+    - type: map_at_20
+      value: 31.508000000000003
+    - type: map_at_3
+      value: 28.225
+    - type: map_at_5
+      value: 30.043
+    - type: mrr_at_1
+      value: 27.114
+    - type: mrr_at_10
+      value: 36.631
+    - type: mrr_at_100
+      value: 36.631
+    - type: mrr_at_1000
+      value: 36.631
+    - type: mrr_at_20
+      value: 36.631
+    - type: mrr_at_3
+      value: 34.059
+    - type: mrr_at_5
+      value: 35.601
+    - type: ndcg_at_1
+      value: 27.114
+    - type: ndcg_at_10
+      value: 37.592999999999996
+    - type: ndcg_at_100
+      value: 37.588
+    - type: ndcg_at_1000
+      value: 37.588
+    - type: ndcg_at_20
+      value: 37.588
+    - type: ndcg_at_3
+      value: 32.038
+    - type: ndcg_at_5
+      value: 34.689
+    - type: precision_at_1
+      value: 27.114
+    - type: precision_at_10
+      value: 7.090000000000001
+    - type: precision_at_100
+      value: 0.709
+    - type: precision_at_1000
+      value: 0.07100000000000001
+    - type: precision_at_20
+      value: 3.5450000000000004
+    - type: precision_at_3
+      value: 15.506
+    - type: precision_at_5
+      value: 11.393
+    - type: recall_at_1
+      value: 21.554000000000002
+    - type: recall_at_10
+      value: 50.879
+    - type: recall_at_100
+      value: 50.879
+    - type: recall_at_1000
+      value: 50.879
+    - type: recall_at_20
+      value: 50.879
+    - type: recall_at_3
+      value: 35.827999999999996
+    - type: recall_at_5
+      value: 42.476
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 35.36
+    - type: map_at_10
+      value: 48.483
+    - type: map_at_100
+      value: 48.483
+    - type: map_at_1000
+      value: 48.483
+    - type: map_at_20
+      value: 48.483
+    - type: map_at_3
+      value: 44.639
+    - type: map_at_5
+      value: 46.698
+    - type: mrr_at_1
+      value: 43.985
+    - type: mrr_at_10
+      value: 54.039
+    - type: mrr_at_100
+      value: 54.039
+    - type: mrr_at_1000
+      value: 54.039
+    - type: mrr_at_20
+      value: 54.039
+    - type: mrr_at_3
+      value: 51.54
+    - type: mrr_at_5
+      value: 52.859
+    - type: ndcg_at_1
+      value: 43.985
+    - type: ndcg_at_10
+      value: 55.069
+    - type: ndcg_at_100
+      value: 54.967
+    - type: ndcg_at_1000
+      value: 54.967
+    - type: ndcg_at_20
+      value: 54.996
+    - type: ndcg_at_3
+      value: 49.544
+    - type: ndcg_at_5
+      value: 51.932
+    - type: precision_at_1
+      value: 43.985
+    - type: precision_at_10
+      value: 10.202
+    - type: precision_at_100
+      value: 1.02
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_20
+      value: 5.101
+    - type: precision_at_3
+      value: 23.933
+    - type: precision_at_5
+      value: 16.901
+    - type: recall_at_1
+      value: 35.36
+    - type: recall_at_10
+      value: 68.806
+    - type: recall_at_100
+      value: 68.806
+    - type: recall_at_1000
+      value: 68.806
+    - type: recall_at_20
+      value: 68.806
+    - type: recall_at_3
+      value: 52.714000000000006
+    - type: recall_at_5
+      value: 59.168
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 32.431
+    - type: map_at_10
+      value: 45.421
+    - type: map_at_100
+      value: 45.421
+    - type: map_at_1000
+      value: 45.421
+    - type: map_at_20
+      value: 45.421
+    - type: map_at_3
+      value: 41.82
+    - type: map_at_5
+      value: 43.692
+    - type: mrr_at_1
+      value: 41.096
+    - type: mrr_at_10
+      value: 51.293
+    - type: mrr_at_100
+      value: 51.293
+    - type: mrr_at_1000
+      value: 51.293
+    - type: mrr_at_20
+      value: 51.293
+    - type: mrr_at_3
+      value: 49.049
+    - type: mrr_at_5
+      value: 50.327
+    - type: ndcg_at_1
+      value: 41.096
+    - type: ndcg_at_10
+      value: 52.032999999999994
+    - type: ndcg_at_100
+      value: 51.903
+    - type: ndcg_at_1000
+      value: 51.897999999999996
+    - type: ndcg_at_20
+      value: 51.942
+    - type: ndcg_at_3
+      value: 47.024
+    - type: ndcg_at_5
+      value: 49.071
+    - type: precision_at_1
+      value: 41.096
+    - type: precision_at_10
+      value: 9.725999999999999
+    - type: precision_at_100
+      value: 0.9730000000000001
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_20
+      value: 4.8629999999999995
+    - type: precision_at_3
+      value: 23.097
+    - type: precision_at_5
+      value: 16.096
+    - type: recall_at_1
+      value: 32.431
+    - type: recall_at_10
+      value: 65.42999999999999
+    - type: recall_at_100
+      value: 65.42999999999999
+    - type: recall_at_1000
+      value: 65.42999999999999
+    - type: recall_at_20
+      value: 65.42999999999999
+    - type: recall_at_3
+      value: 50.856
+    - type: recall_at_5
+      value: 56.846
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 32.074749999999995
+    - type: map_at_10
+      value: 43.474
+    - type: map_at_100
+      value: 43.474
+    - type: map_at_1000
+      value: 43.474
+    - type: map_at_20
+      value: 43.474
+    - type: map_at_3
+      value: 40.10458333333333
+    - type: map_at_5
+      value: 42.010749999999994
+    - type: mrr_at_1
+      value: 38.60425
+    - type: mrr_at_10
+      value: 48.05550000000001
+    - type: mrr_at_100
+      value: 48.05550000000001
+    - type: mrr_at_1000
+      value: 48.05550000000001
+    - type: mrr_at_20
+      value: 48.05550000000001
+    - type: mrr_at_3
+      value: 45.58083333333334
+    - type: mrr_at_5
+      value: 47.04750000000001
+    - type: ndcg_at_1
+      value: 38.60425
+    - type: ndcg_at_10
+      value: 49.51958333333334
+    - type: ndcg_at_100
+      value: 49.3385
+    - type: ndcg_at_1000
+      value: 49.33491666666667
+    - type: ndcg_at_20
+      value: 49.393
+    - type: ndcg_at_3
+      value: 44.32699999999999
+    - type: ndcg_at_5
+      value: 46.81008333333333
+    - type: precision_at_1
+      value: 38.60425
+    - type: precision_at_10
+      value: 8.800666666666668
+    - type: precision_at_100
+      value: 0.8800833333333334
+    - type: precision_at_1000
+      value: 0.08808333333333335
+    - type: precision_at_20
+      value: 4.400333333333334
+    - type: precision_at_3
+      value: 20.723166666666664
+    - type: precision_at_5
+      value: 14.65683333333333
+    - type: recall_at_1
+      value: 32.074749999999995
+    - type: recall_at_10
+      value: 62.5025
+    - type: recall_at_100
+      value: 62.5025
+    - type: recall_at_1000
+      value: 62.5025
+    - type: recall_at_20
+      value: 62.5025
+    - type: recall_at_3
+      value: 47.81091666666667
+    - type: recall_at_5
+      value: 54.38974999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 28.758
+    - type: map_at_10
+      value: 37.633
+    - type: map_at_100
+      value: 37.633
+    - type: map_at_1000
+      value: 37.633
+    - type: map_at_20
+      value: 37.633
+    - type: map_at_3
+      value: 34.865
+    - type: map_at_5
+      value: 36.437999999999995
+    - type: mrr_at_1
+      value: 32.208999999999996
+    - type: mrr_at_10
+      value: 40.598
+    - type: mrr_at_100
+      value: 40.598
+    - type: mrr_at_1000
+      value: 40.598
+    - type: mrr_at_20
+      value: 40.598
+    - type: mrr_at_3
+      value: 37.935
+    - type: mrr_at_5
+      value: 39.476
+    - type: ndcg_at_1
+      value: 32.208999999999996
+    - type: ndcg_at_10
+      value: 42.798
+    - type: ndcg_at_100
+      value: 42.768
+    - type: ndcg_at_1000
+      value: 42.768
+    - type: ndcg_at_20
+      value: 42.768
+    - type: ndcg_at_3
+      value: 37.651
+    - type: ndcg_at_5
+      value: 40.172999999999995
+    - type: precision_at_1
+      value: 32.208999999999996
+    - type: precision_at_10
+      value: 6.84
+    - type: precision_at_100
+      value: 0.6839999999999999
+    - type: precision_at_1000
+      value: 0.068
+    - type: precision_at_20
+      value: 3.42
+    - type: precision_at_3
+      value: 16.258
+    - type: precision_at_5
+      value: 11.472
+    - type: recall_at_1
+      value: 28.758
+    - 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: 41.488
+    - type: recall_at_5
+      value: 47.659
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 21.088
+    - type: map_at_10
+      value: 30.297
+    - type: map_at_100
+      value: 30.297
+    - type: map_at_1000
+      value: 30.297
+    - type: map_at_20
+      value: 30.297
+    - type: map_at_3
+      value: 27.376
+    - type: map_at_5
+      value: 29.064
+    - type: mrr_at_1
+      value: 26.358999999999998
+    - type: mrr_at_10
+      value: 34.996
+    - type: mrr_at_100
+      value: 34.996
+    - type: mrr_at_1000
+      value: 34.996
+    - type: mrr_at_20
+      value: 34.996
+    - type: mrr_at_3
+      value: 32.467
+    - type: mrr_at_5
+      value: 33.944
+    - type: ndcg_at_1
+      value: 26.358999999999998
+    - type: ndcg_at_10
+      value: 35.851
+    - type: ndcg_at_100
+      value: 35.731
+    - type: ndcg_at_1000
+      value: 35.729
+    - type: ndcg_at_20
+      value: 35.77
+    - type: ndcg_at_3
+      value: 30.97
+    - type: ndcg_at_5
+      value: 33.312000000000005
+    - type: precision_at_1
+      value: 26.358999999999998
+    - 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: 14.923
+    - type: precision_at_5
+      value: 10.86
+    - type: recall_at_1
+      value: 21.088
+    - type: recall_at_10
+      value: 47.818
+    - type: recall_at_100
+      value: 47.818
+    - type: recall_at_1000
+      value: 47.818
+    - type: recall_at_20
+      value: 47.818
+    - type: recall_at_3
+      value: 33.815
+    - type: recall_at_5
+      value: 39.973
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 33.579
+    - type: map_at_10
+      value: 44.875
+    - type: map_at_100
+      value: 44.875
+    - type: map_at_1000
+      value: 44.875
+    - type: map_at_20
+      value: 44.875
+    - type: map_at_3
+      value: 41.64
+    - type: map_at_5
+      value: 43.433
+    - type: mrr_at_1
+      value: 40.111999999999995
+    - type: mrr_at_10
+      value: 49.586999999999996
+    - type: mrr_at_100
+      value: 49.586999999999996
+    - type: mrr_at_1000
+      value: 49.586999999999996
+    - type: mrr_at_20
+      value: 49.586999999999996
+    - type: mrr_at_3
+      value: 47.233000000000004
+    - type: mrr_at_5
+      value: 48.613
+    - type: ndcg_at_1
+      value: 40.111999999999995
+    - type: ndcg_at_10
+      value: 50.836000000000006
+    - type: ndcg_at_100
+      value: 50.822
+    - type: ndcg_at_1000
+      value: 50.822
+    - type: ndcg_at_20
+      value: 50.822
+    - type: ndcg_at_3
+      value: 45.737
+    - type: ndcg_at_5
+      value: 48.081
+    - type: precision_at_1
+      value: 40.111999999999995
+    - type: precision_at_10
+      value: 8.674999999999999
+    - type: precision_at_100
+      value: 0.868
+    - type: precision_at_1000
+      value: 0.087
+    - type: precision_at_20
+      value: 4.338
+    - type: precision_at_3
+      value: 21.02
+    - type: precision_at_5
+      value: 14.682999999999998
+    - type: recall_at_1
+      value: 33.579
+    - type: recall_at_10
+      value: 64.02600000000001
+    - type: recall_at_100
+      value: 64.02600000000001
+    - type: recall_at_1000
+      value: 64.02600000000001
+    - type: recall_at_20
+      value: 64.02600000000001
+    - type: recall_at_3
+      value: 49.788
+    - type: recall_at_5
+      value: 55.931
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 31.497999999999998
+    - type: map_at_10
+      value: 43.456
+    - type: map_at_100
+      value: 43.456
+    - type: map_at_1000
+      value: 43.456
+    - type: map_at_20
+      value: 43.456
+    - type: map_at_3
+      value: 40.125
+    - type: map_at_5
+      value: 41.829
+    - type: mrr_at_1
+      value: 38.735
+    - type: mrr_at_10
+      value: 48.756
+    - type: mrr_at_100
+      value: 48.756
+    - type: mrr_at_1000
+      value: 48.756
+    - type: mrr_at_20
+      value: 48.756
+    - type: mrr_at_3
+      value: 46.113
+    - type: mrr_at_5
+      value: 47.684
+    - type: ndcg_at_1
+      value: 38.735
+    - type: ndcg_at_10
+      value: 50.241
+    - type: ndcg_at_100
+      value: 49.458
+    - type: ndcg_at_1000
+      value: 49.437999999999995
+    - type: ndcg_at_20
+      value: 49.756
+    - type: ndcg_at_3
+      value: 45.14
+    - type: ndcg_at_5
+      value: 47.406
+    - type: precision_at_1
+      value: 38.735
+    - type: precision_at_10
+      value: 9.763
+    - type: precision_at_100
+      value: 0.976
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_20
+      value: 4.881
+    - type: precision_at_3
+      value: 21.673000000000002
+    - type: precision_at_5
+      value: 15.455
+    - type: recall_at_1
+      value: 31.497999999999998
+    - type: recall_at_10
+      value: 62.568999999999996
+    - type: recall_at_100
+      value: 62.568999999999996
+    - type: recall_at_1000
+      value: 62.568999999999996
+    - type: recall_at_20
+      value: 62.568999999999996
+    - type: recall_at_3
+      value: 47.842
+    - type: recall_at_5
+      value: 54.159
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 24.991
+    - type: map_at_10
+      value: 34.183
+    - type: map_at_100
+      value: 34.183
+    - type: map_at_1000
+      value: 34.183
+    - type: map_at_20
+      value: 34.183
+    - type: map_at_3
+      value: 31.592
+    - type: map_at_5
+      value: 33.121
+    - type: mrr_at_1
+      value: 27.172
+    - type: mrr_at_10
+      value: 36.463
+    - type: mrr_at_100
+      value: 36.463
+    - type: mrr_at_1000
+      value: 36.463
+    - type: mrr_at_20
+      value: 36.463
+    - type: mrr_at_3
+      value: 34.165
+    - type: mrr_at_5
+      value: 35.616
+    - type: ndcg_at_1
+      value: 27.172
+    - type: ndcg_at_10
+      value: 39.311
+    - type: ndcg_at_100
+      value: 39.292
+    - type: ndcg_at_1000
+      value: 39.292
+    - type: ndcg_at_20
+      value: 39.301
+    - type: ndcg_at_3
+      value: 34.498
+    - type: ndcg_at_5
+      value: 37.006
+    - type: precision_at_1
+      value: 27.172
+    - type: precision_at_10
+      value: 6.174
+    - type: precision_at_100
+      value: 0.617
+    - type: precision_at_1000
+      value: 0.062
+    - type: precision_at_20
+      value: 3.087
+    - type: precision_at_3
+      value: 14.972
+    - type: precision_at_5
+      value: 10.499
+    - type: recall_at_1
+      value: 24.991
+    - type: recall_at_10
+      value: 52.649
+    - type: recall_at_100
+      value: 52.649
+    - type: recall_at_1000
+      value: 52.649
+    - type: recall_at_20
+      value: 52.649
+    - type: recall_at_3
+      value: 39.818
+    - type: recall_at_5
+      value: 45.927
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 12.475999999999999
+    - type: map_at_10
+      value: 22.999
+    - type: map_at_100
+      value: 22.999
+    - type: map_at_1000
+      value: 22.999
+    - type: map_at_20
+      value: 22.999
+    - type: map_at_3
+      value: 18.804000000000002
+    - type: map_at_5
+      value: 20.987000000000002
+    - type: mrr_at_1
+      value: 28.404
+    - type: mrr_at_10
+      value: 42.335
+    - type: mrr_at_100
+      value: 42.335
+    - type: mrr_at_1000
+      value: 42.335
+    - type: mrr_at_20
+      value: 42.335
+    - type: mrr_at_3
+      value: 39.11
+    - type: mrr_at_5
+      value: 40.953
+    - type: ndcg_at_1
+      value: 28.404
+    - type: ndcg_at_10
+      value: 32.467
+    - type: ndcg_at_100
+      value: 32.467
+    - type: ndcg_at_1000
+      value: 32.467
+    - type: ndcg_at_20
+      value: 32.467
+    - type: ndcg_at_3
+      value: 26.334999999999997
+    - type: ndcg_at_5
+      value: 28.493000000000002
+    - type: precision_at_1
+      value: 28.404
+    - type: precision_at_10
+      value: 10.43
+    - type: precision_at_100
+      value: 1.043
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_20
+      value: 5.215
+    - type: precision_at_3
+      value: 20.13
+    - type: precision_at_5
+      value: 15.595999999999998
+    - type: recall_at_1
+      value: 12.475999999999999
+    - type: recall_at_10
+      value: 39.757
+    - type: recall_at_100
+      value: 39.757
+    - type: recall_at_1000
+      value: 39.757
+    - type: recall_at_20
+      value: 39.757
+    - type: recall_at_3
+      value: 24.695
+    - type: recall_at_5
+      value: 30.864000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 9.261999999999999
+    - type: map_at_10
+      value: 23.807000000000002
+    - type: map_at_100
+      value: 23.807000000000002
+    - type: map_at_1000
+      value: 23.807000000000002
+    - type: map_at_20
+      value: 23.807000000000002
+    - type: map_at_3
+      value: 15.776000000000002
+    - type: map_at_5
+      value: 19.17
+    - type: mrr_at_1
+      value: 71.75
+    - type: mrr_at_10
+      value: 79.959
+    - type: mrr_at_100
+      value: 79.959
+    - type: mrr_at_1000
+      value: 79.959
+    - type: mrr_at_20
+      value: 79.959
+    - type: mrr_at_3
+      value: 78.625
+    - type: mrr_at_5
+      value: 79.412
+    - type: ndcg_at_1
+      value: 59.5
+    - type: ndcg_at_10
+      value: 48.988
+    - type: ndcg_at_100
+      value: 37.452000000000005
+    - type: ndcg_at_1000
+      value: 37.32
+    - type: ndcg_at_20
+      value: 41.387
+    - type: ndcg_at_3
+      value: 52.567
+    - type: ndcg_at_5
+      value: 50.649
+    - type: precision_at_1
+      value: 71.75
+    - type: precision_at_10
+      value: 40.425
+    - type: precision_at_100
+      value: 4.042
+    - type: precision_at_1000
+      value: 0.404
+    - type: precision_at_20
+      value: 20.212
+    - type: precision_at_3
+      value: 57.75
+    - type: precision_at_5
+      value: 50.349999999999994
+    - type: recall_at_1
+      value: 9.261999999999999
+    - type: recall_at_10
+      value: 30.329
+    - type: recall_at_100
+      value: 30.329
+    - type: recall_at_1000
+      value: 30.329
+    - type: recall_at_20
+      value: 30.329
+    - type: recall_at_3
+      value: 17.422
+    - type: recall_at_5
+      value: 22.598
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 52.014999999999986
+    - type: f1
+      value: 47.33036786740981
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 82.00800000000001
+    - type: map_at_10
+      value: 88.02799999999999
+    - type: map_at_100
+      value: 88.02799999999999
+    - type: map_at_1000
+      value: 88.02799999999999
+    - type: map_at_20
+      value: 88.02799999999999
+    - type: map_at_3
+      value: 87.249
+    - type: map_at_5
+      value: 87.78399999999999
+    - type: mrr_at_1
+      value: 88.299
+    - type: mrr_at_10
+      value: 92.92
+    - type: mrr_at_100
+      value: 92.92
+    - type: mrr_at_1000
+      value: 92.92
+    - type: mrr_at_20
+      value: 92.92
+    - type: mrr_at_3
+      value: 92.56400000000001
+    - type: mrr_at_5
+      value: 92.83200000000001
+    - type: ndcg_at_1
+      value: 88.299
+    - type: ndcg_at_10
+      value: 90.88000000000001
+    - type: ndcg_at_100
+      value: 90.879
+    - type: ndcg_at_1000
+      value: 90.879
+    - type: ndcg_at_20
+      value: 90.879
+    - type: ndcg_at_3
+      value: 89.85499999999999
+    - type: ndcg_at_5
+      value: 90.485
+    - type: precision_at_1
+      value: 88.299
+    - type: precision_at_10
+      value: 10.522
+    - type: precision_at_100
+      value: 1.052
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_20
+      value: 5.261
+    - type: precision_at_3
+      value: 33.573
+    - type: precision_at_5
+      value: 20.633000000000003
+    - type: recall_at_1
+      value: 82.00800000000001
+    - type: recall_at_10
+      value: 94.952
+    - type: recall_at_100
+      value: 94.952
+    - type: recall_at_1000
+      value: 94.952
+    - type: recall_at_20
+      value: 94.952
+    - type: recall_at_3
+      value: 92.089
+    - type: recall_at_5
+      value: 93.794
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 26.857
+    - type: map_at_10
+      value: 44.645
+    - type: map_at_100
+      value: 44.645
+    - type: map_at_1000
+      value: 44.645
+    - type: map_at_20
+      value: 44.645
+    - type: map_at_3
+      value: 38.166
+    - type: map_at_5
+      value: 41.992000000000004
+    - type: mrr_at_1
+      value: 50.309000000000005
+    - type: mrr_at_10
+      value: 59.59100000000001
+    - type: mrr_at_100
+      value: 59.59100000000001
+    - type: mrr_at_1000
+      value: 59.59100000000001
+    - type: mrr_at_20
+      value: 59.59100000000001
+    - type: mrr_at_3
+      value: 56.97
+    - type: mrr_at_5
+      value: 58.498000000000005
+    - type: ndcg_at_1
+      value: 50.309000000000005
+    - type: ndcg_at_10
+      value: 53.221
+    - type: ndcg_at_100
+      value: 53.15800000000001
+    - type: ndcg_at_1000
+      value: 53.15800000000001
+    - type: ndcg_at_20
+      value: 53.15800000000001
+    - type: ndcg_at_3
+      value: 47.506
+    - type: ndcg_at_5
+      value: 49.922
+    - type: precision_at_1
+      value: 50.309000000000005
+    - type: precision_at_10
+      value: 14.985000000000001
+    - type: precision_at_100
+      value: 1.498
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_20
+      value: 7.492
+    - type: precision_at_3
+      value: 31.635999999999996
+    - type: precision_at_5
+      value: 24.043
+    - type: recall_at_1
+      value: 26.857
+    - type: recall_at_10
+      value: 62.051
+    - type: recall_at_100
+      value: 62.051
+    - type: recall_at_1000
+      value: 62.051
+    - type: recall_at_20
+      value: 62.051
+    - type: recall_at_3
+      value: 42.966
+    - type: recall_at_5
+      value: 51.943
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 40.891
+    - type: map_at_10
+      value: 70.431
+    - type: map_at_100
+      value: 70.431
+    - type: map_at_1000
+      value: 70.431
+    - type: map_at_20
+      value: 70.431
+    - type: map_at_3
+      value: 66.704
+    - type: map_at_5
+      value: 69.179
+    - type: mrr_at_1
+      value: 81.783
+    - type: mrr_at_10
+      value: 87.368
+    - type: mrr_at_100
+      value: 87.368
+    - type: mrr_at_1000
+      value: 87.368
+    - type: mrr_at_20
+      value: 87.368
+    - type: mrr_at_3
+      value: 86.59700000000001
+    - type: mrr_at_5
+      value: 87.128
+    - type: ndcg_at_1
+      value: 81.783
+    - type: ndcg_at_10
+      value: 77.697
+    - type: ndcg_at_100
+      value: 77.697
+    - type: ndcg_at_1000
+      value: 77.697
+    - type: ndcg_at_20
+      value: 77.697
+    - type: ndcg_at_3
+      value: 72.688
+    - type: ndcg_at_5
+      value: 75.69200000000001
+    - type: precision_at_1
+      value: 81.783
+    - type: precision_at_10
+      value: 16.488
+    - type: precision_at_100
+      value: 1.649
+    - type: precision_at_1000
+      value: 0.165
+    - type: precision_at_20
+      value: 8.244
+    - type: precision_at_3
+      value: 47.693000000000005
+    - type: precision_at_5
+      value: 30.976
+    - type: recall_at_1
+      value: 40.891
+    - type: recall_at_10
+      value: 82.438
+    - type: recall_at_100
+      value: 82.438
+    - type: recall_at_1000
+      value: 82.438
+    - type: recall_at_20
+      value: 82.438
+    - type: recall_at_3
+      value: 71.54
+    - type: recall_at_5
+      value: 77.441
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 89.47240000000001
+    - type: ap
+      value: 85.75618304701787
+    - type: f1
+      value: 89.44156774176075
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 19.941
+    - type: map_at_10
+      value: 33.108
+    - type: map_at_100
+      value: 33.108
+    - type: map_at_1000
+      value: 33.108
+    - type: map_at_20
+      value: 33.108
+    - type: map_at_3
+      value: 28.716
+    - type: map_at_5
+      value: 31.255
+    - type: mrr_at_1
+      value: 20.458000000000002
+    - type: mrr_at_10
+      value: 33.646
+    - type: mrr_at_100
+      value: 33.646
+    - type: mrr_at_1000
+      value: 33.646
+    - type: mrr_at_20
+      value: 33.646
+    - type: mrr_at_3
+      value: 29.360000000000003
+    - type: mrr_at_5
+      value: 31.849
+    - type: ndcg_at_1
+      value: 20.458000000000002
+    - type: ndcg_at_10
+      value: 40.664
+    - type: ndcg_at_100
+      value: 40.664
+    - type: ndcg_at_1000
+      value: 40.664
+    - type: ndcg_at_20
+      value: 40.664
+    - type: ndcg_at_3
+      value: 31.733
+    - type: ndcg_at_5
+      value: 36.266999999999996
+    - type: precision_at_1
+      value: 20.458000000000002
+    - type: precision_at_10
+      value: 6.703
+    - type: precision_at_100
+      value: 0.67
+    - type: precision_at_1000
+      value: 0.067
+    - type: precision_at_20
+      value: 3.3520000000000003
+    - type: precision_at_3
+      value: 13.777000000000001
+    - type: precision_at_5
+      value: 10.564
+    - type: recall_at_1
+      value: 19.941
+    - type: recall_at_10
+      value: 64.103
+    - type: recall_at_100
+      value: 64.103
+    - type: recall_at_1000
+      value: 64.103
+    - type: recall_at_20
+      value: 64.103
+    - type: recall_at_3
+      value: 39.800999999999995
+    - type: recall_at_5
+      value: 50.727999999999994
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 96.45690834473322
+    - type: f1
+      value: 96.19980363353172
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 85.38075695394436
+    - type: f1
+      value: 71.33409850817071
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 80.12104909213183
+    - type: f1
+      value: 77.26691038674358
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 82.69670477471418
+    - type: f1
+      value: 82.31935226516424
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.733209733023
+    - 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: 32.325298069936835
+    - 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: 32.511595472837335
+    - type: mrr
+      value: 33.73044905745997
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 7.0760000000000005
+    - type: map_at_10
+      value: 16.039
+    - type: map_at_100
+      value: 16.039
+    - type: map_at_1000
+      value: 16.039
+    - type: map_at_20
+      value: 16.039
+    - type: map_at_3
+      value: 11.408
+    - type: map_at_5
+      value: 13.547
+    - type: mrr_at_1
+      value: 53.559999999999995
+    - type: mrr_at_10
+      value: 61.531000000000006
+    - type: mrr_at_100
+      value: 61.531000000000006
+    - type: mrr_at_1000
+      value: 61.531000000000006
+    - type: mrr_at_20
+      value: 61.531000000000006
+    - type: mrr_at_3
+      value: 59.236
+    - type: mrr_at_5
+      value: 60.49
+    - type: ndcg_at_1
+      value: 51.083999999999996
+    - type: ndcg_at_10
+      value: 41.332
+    - type: ndcg_at_100
+      value: 27.083000000000002
+    - type: ndcg_at_1000
+      value: 26.619
+    - type: ndcg_at_20
+      value: 33.188
+    - type: ndcg_at_3
+      value: 46.605999999999995
+    - type: ndcg_at_5
+      value: 44.362
+    - type: precision_at_1
+      value: 52.941
+    - type: precision_at_10
+      value: 30.65
+    - type: precision_at_100
+      value: 3.065
+    - type: precision_at_1000
+      value: 0.307
+    - type: precision_at_20
+      value: 15.325
+    - type: precision_at_3
+      value: 43.447
+    - type: precision_at_5
+      value: 38.266
+    - type: recall_at_1
+      value: 7.0760000000000005
+    - type: recall_at_10
+      value: 20.929000000000002
+    - type: recall_at_100
+      value: 20.929000000000002
+    - type: recall_at_1000
+      value: 20.929000000000002
+    - type: recall_at_20
+      value: 20.929000000000002
+    - type: recall_at_3
+      value: 12.601
+    - type: recall_at_5
+      value: 15.955
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 39.204
+    - type: map_at_10
+      value: 56.808
+    - type: map_at_100
+      value: 56.808
+    - type: map_at_1000
+      value: 56.808
+    - type: map_at_20
+      value: 56.808
+    - type: map_at_3
+      value: 52.471999999999994
+    - type: map_at_5
+      value: 55.191
+    - type: mrr_at_1
+      value: 44.032
+    - type: mrr_at_10
+      value: 59.158
+    - type: mrr_at_100
+      value: 59.158
+    - type: mrr_at_1000
+      value: 59.158
+    - type: mrr_at_20
+      value: 59.158
+    - type: mrr_at_3
+      value: 55.948
+    - type: mrr_at_5
+      value: 57.96
+    - type: ndcg_at_1
+      value: 44.032
+    - type: ndcg_at_10
+      value: 64.672
+    - type: ndcg_at_100
+      value: 64.672
+    - type: ndcg_at_1000
+      value: 64.672
+    - type: ndcg_at_20
+      value: 64.672
+    - type: ndcg_at_3
+      value: 56.955999999999996
+    - type: ndcg_at_5
+      value: 61.278999999999996
+    - type: precision_at_1
+      value: 44.032
+    - type: precision_at_10
+      value: 10.295
+    - type: precision_at_100
+      value: 1.03
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_20
+      value: 5.148
+    - type: precision_at_3
+      value: 25.83
+    - type: precision_at_5
+      value: 18.053
+    - type: recall_at_1
+      value: 39.204
+    - type: recall_at_10
+      value: 85.936
+    - type: recall_at_100
+      value: 85.936
+    - type: recall_at_1000
+      value: 85.936
+    - type: recall_at_20
+      value: 85.936
+    - type: recall_at_3
+      value: 66.387
+    - type: recall_at_5
+      value: 76.238
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+    metrics:
+    - type: map_at_1
+      value: 71.068
+    - type: map_at_10
+      value: 85.271
+    - type: map_at_100
+      value: 85.271
+    - type: map_at_1000
+      value: 85.271
+    - type: map_at_20
+      value: 85.271
+    - type: map_at_3
+      value: 82.23899999999999
+    - type: map_at_5
+      value: 84.165
+    - type: mrr_at_1
+      value: 81.85
+    - type: mrr_at_10
+      value: 87.856
+    - type: mrr_at_100
+      value: 87.856
+    - type: mrr_at_1000
+      value: 87.856
+    - type: mrr_at_20
+      value: 87.856
+    - type: mrr_at_3
+      value: 86.925
+    - type: mrr_at_5
+      value: 87.559
+    - type: ndcg_at_1
+      value: 81.89
+    - type: ndcg_at_10
+      value: 88.856
+    - type: ndcg_at_100
+      value: 88.723
+    - type: ndcg_at_1000
+      value: 88.723
+    - type: ndcg_at_20
+      value: 88.74300000000001
+    - type: ndcg_at_3
+      value: 86.05199999999999
+    - type: ndcg_at_5
+      value: 87.61
+    - type: precision_at_1
+      value: 81.89
+    - type: precision_at_10
+      value: 13.569999999999999
+    - type: precision_at_100
+      value: 1.357
+    - type: precision_at_1000
+      value: 0.136
+    - type: precision_at_20
+      value: 6.784999999999999
+    - type: precision_at_3
+      value: 37.807
+    - type: precision_at_5
+      value: 24.908
+    - type: recall_at_1
+      value: 71.068
+    - type: recall_at_10
+      value: 95.797
+    - type: recall_at_100
+      value: 95.797
+    - type: recall_at_1000
+      value: 95.797
+    - type: recall_at_20
+      value: 95.797
+    - type: recall_at_3
+      value: 87.65899999999999
+    - type: recall_at_5
+      value: 92.107
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 62.16385792305745
+    - 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: 65.96296778394698
+    - type: v_measures
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0.7901875870736593]
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+    metrics:
+    - type: map_at_1
+      value: 5.433000000000001
+    - type: map_at_10
+      value: 13.991000000000001
+    - type: map_at_100
+      value: 13.991000000000001
+    - type: map_at_1000
+      value: 13.991000000000001
+    - type: map_at_20
+      value: 13.991000000000001
+    - type: map_at_3
+      value: 9.708
+    - type: map_at_5
+      value: 11.849
+    - type: mrr_at_1
+      value: 26.8
+    - type: mrr_at_10
+      value: 38.012
+    - type: mrr_at_100
+      value: 38.012
+    - type: mrr_at_1000
+      value: 38.012
+    - type: mrr_at_20
+      value: 38.012
+    - type: mrr_at_3
+      value: 34.449999999999996
+    - type: mrr_at_5
+      value: 36.59
+    - type: ndcg_at_1
+      value: 26.8
+    - type: ndcg_at_10
+      value: 23.006999999999998
+    - type: ndcg_at_100
+      value: 23.006999999999998
+    - type: ndcg_at_1000
+      value: 23.006999999999998
+    - type: ndcg_at_20
+      value: 23.006999999999998
+    - type: ndcg_at_3
+      value: 21.386
+    - type: ndcg_at_5
+      value: 19.046
+    - type: precision_at_1
+      value: 26.8
+    - type: precision_at_10
+      value: 12.01
+    - type: precision_at_100
+      value: 1.201
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_20
+      value: 6.005
+    - type: precision_at_3
+      value: 19.833000000000002
+    - type: precision_at_5
+      value: 16.84
+    - type: recall_at_1
+      value: 5.433000000000001
+    - type: recall_at_10
+      value: 24.34
+    - type: recall_at_100
+      value: 24.34
+    - type: recall_at_1000
+      value: 24.34
+    - type: recall_at_20
+      value: 24.34
+    - type: recall_at_3
+      value: 12.058
+    - type: recall_at_5
+      value: 17.058
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.84178272773948
+    - type: cos_sim_spearman
+      value: 82.32746830315172
+    - type: euclidean_pearson
+      value: 82.11599650658388
+    - type: euclidean_spearman
+      value: 82.38102437050075
+    - type: manhattan_pearson
+      value: 82.07071847892156
+    - type: manhattan_spearman
+      value: 82.35710877093594
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.86916828280668
+    - type: cos_sim_spearman
+      value: 79.69553254808825
+    - type: euclidean_pearson
+      value: 82.86582224049857
+    - type: euclidean_spearman
+      value: 79.1765897124049
+    - type: manhattan_pearson
+      value: 83.15978473993391
+    - type: manhattan_spearman
+      value: 79.54192003597332
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.7719804239987
+    - type: cos_sim_spearman
+      value: 89.20788765830103
+    - type: euclidean_pearson
+      value: 88.67624029627581
+    - type: euclidean_spearman
+      value: 89.15058058277351
+    - type: manhattan_pearson
+      value: 88.43477620818435
+    - type: manhattan_spearman
+      value: 89.01994285052193
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.04733612348426
+    - type: cos_sim_spearman
+      value: 86.0120242985069
+    - type: euclidean_pearson
+      value: 86.07045247599824
+    - type: euclidean_spearman
+      value: 86.22185577032168
+    - type: manhattan_pearson
+      value: 85.79555943035328
+    - type: manhattan_spearman
+      value: 86.13821651705776
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.395594115739
+    - type: cos_sim_spearman
+      value: 89.70312809978681
+    - type: euclidean_pearson
+      value: 89.10137224981938
+    - type: euclidean_spearman
+      value: 89.74149793061072
+    - type: manhattan_pearson
+      value: 89.06144914118401
+    - type: manhattan_spearman
+      value: 89.78489015365638
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.1720394205624
+    - type: cos_sim_spearman
+      value: 87.67900288178751
+    - type: euclidean_pearson
+      value: 86.73052291563968
+    - type: euclidean_spearman
+      value: 87.49116803671033
+    - type: manhattan_pearson
+      value: 86.79988999910331
+    - type: manhattan_spearman
+      value: 87.57540934207157
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.75286004155564
+    - type: cos_sim_spearman
+      value: 88.03161515281518
+    - type: euclidean_pearson
+      value: 88.55464128719427
+    - type: euclidean_spearman
+      value: 87.78041200668837
+    - type: manhattan_pearson
+      value: 88.18469209314583
+    - type: manhattan_spearman
+      value: 87.31602253333598
+  - 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: 70.48372140035973
+    - type: cos_sim_spearman
+      value: 70.16107814793419
+    - type: euclidean_pearson
+      value: 69.65789511103976
+    - type: euclidean_spearman
+      value: 68.92441073988654
+    - type: manhattan_pearson
+      value: 69.55306498752127
+    - type: manhattan_spearman
+      value: 68.82186378798527
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.43017430741797
+    - type: cos_sim_spearman
+      value: 88.14675226940803
+    - type: euclidean_pearson
+      value: 87.33329490848514
+    - type: euclidean_spearman
+      value: 87.94164481397011
+    - type: manhattan_pearson
+      value: 87.19303598684772
+    - type: manhattan_spearman
+      value: 87.86899889639051
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 87.03073019943413
+    - type: mrr
+      value: 96.67456726280255
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 64.328
+    - type: map_at_10
+      value: 75.046
+    - type: map_at_100
+      value: 75.046
+    - type: map_at_1000
+      value: 75.046
+    - type: map_at_20
+      value: 75.046
+    - type: map_at_3
+      value: 72.42
+    - type: map_at_5
+      value: 73.88900000000001
+    - type: mrr_at_1
+      value: 67.667
+    - type: mrr_at_10
+      value: 76.19200000000001
+    - type: mrr_at_100
+      value: 76.19200000000001
+    - type: mrr_at_1000
+      value: 76.19200000000001
+    - type: mrr_at_20
+      value: 76.19200000000001
+    - type: mrr_at_3
+      value: 74.556
+    - type: mrr_at_5
+      value: 75.372
+    - type: ndcg_at_1
+      value: 67.667
+    - type: ndcg_at_10
+      value: 79.621
+    - type: ndcg_at_100
+      value: 79.621
+    - type: ndcg_at_1000
+      value: 79.621
+    - type: ndcg_at_20
+      value: 79.621
+    - type: ndcg_at_3
+      value: 75.506
+    - type: ndcg_at_5
+      value: 77.269
+    - type: precision_at_1
+      value: 67.667
+    - type: precision_at_10
+      value: 10.467
+    - type: precision_at_100
+      value: 1.047
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_20
+      value: 5.2330000000000005
+    - type: precision_at_3
+      value: 29.444
+    - type: precision_at_5
+      value: 19.133
+    - type: recall_at_1
+      value: 64.328
+    - type: recall_at_10
+      value: 92.389
+    - type: recall_at_100
+      value: 92.389
+    - type: recall_at_1000
+      value: 92.389
+    - type: recall_at_20
+      value: 92.389
+    - type: recall_at_3
+      value: 81.183
+    - type: recall_at_5
+      value: 85.60600000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.83762376237624
+    - type: cos_sim_ap
+      value: 96.51580702723564
+    - type: cos_sim_f1
+      value: 91.63265306122449
+    - type: cos_sim_precision
+      value: 93.54166666666667
+    - type: cos_sim_recall
+      value: 89.8
+    - type: dot_accuracy
+      value: 99.73663366336633
+    - type: dot_ap
+      value: 93.5764284433306
+    - type: dot_f1
+      value: 86.56565656565655
+    - type: dot_precision
+      value: 87.44897959183675
+    - type: dot_recall
+      value: 85.7
+    - type: euclidean_accuracy
+      value: 99.84059405940594
+    - type: euclidean_ap
+      value: 96.4738308210008
+    - type: euclidean_f1
+      value: 91.76470588235294
+    - type: euclidean_precision
+      value: 93.92670157068062
+    - type: euclidean_recall
+      value: 89.7
+    - type: manhattan_accuracy
+      value: 99.84356435643565
+    - type: manhattan_ap
+      value: 96.58366196890644
+    - type: manhattan_f1
+      value: 91.93054136874362
+    - type: manhattan_precision
+      value: 93.94572025052193
+    - type: manhattan_recall
+      value: 90.0
+    - type: max_accuracy
+      value: 99.84356435643565
+    - type: max_ap
+      value: 96.58366196890644
+    - type: max_f1
+      value: 91.93054136874362
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 71.3538865724681
+    - 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: 36.11009155563876
+    - 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: 55.54551767207771
+    - type: mrr
+      value: 56.55926385705797
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.805678984951985
+    - type: cos_sim_spearman
+      value: 30.827574116605362
+    - type: dot_pearson
+      value: 29.899814768586204
+    - type: dot_spearman
+      value: 29.588760095881174
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+    metrics:
+    - type: map_at_1
+      value: 0.22200000000000003
+    - type: map_at_10
+      value: 2.046
+    - type: map_at_100
+      value: 2.046
+    - type: map_at_1000
+      value: 2.046
+    - type: map_at_20
+      value: 2.046
+    - type: map_at_3
+      value: 0.661
+    - type: map_at_5
+      value: 1.057
+    - type: mrr_at_1
+      value: 84.0
+    - type: mrr_at_10
+      value: 91.333
+    - type: mrr_at_100
+      value: 91.333
+    - type: mrr_at_1000
+      value: 91.333
+    - type: mrr_at_20
+      value: 91.333
+    - type: mrr_at_3
+      value: 91.0
+    - type: mrr_at_5
+      value: 91.0
+    - type: ndcg_at_1
+      value: 80.0
+    - type: ndcg_at_10
+      value: 80.74900000000001
+    - type: ndcg_at_100
+      value: 17.761
+    - type: ndcg_at_1000
+      value: 7.5920000000000005
+    - type: ndcg_at_20
+      value: 52.113
+    - type: ndcg_at_3
+      value: 83.542
+    - type: ndcg_at_5
+      value: 82.151
+    - type: precision_at_1
+      value: 84.0
+    - type: precision_at_10
+      value: 84.6
+    - type: precision_at_100
+      value: 8.459999999999999
+    - type: precision_at_1000
+      value: 0.8460000000000001
+    - type: precision_at_20
+      value: 42.3
+    - type: precision_at_3
+      value: 88.0
+    - type: precision_at_5
+      value: 86.0
+    - type: recall_at_1
+      value: 0.22200000000000003
+    - type: recall_at_10
+      value: 2.235
+    - type: recall_at_100
+      value: 2.235
+    - type: recall_at_1000
+      value: 2.235
+    - type: recall_at_20
+      value: 2.235
+    - type: recall_at_3
+      value: 0.695
+    - type: recall_at_5
+      value: 1.121
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 3.2750000000000004
+    - type: map_at_10
+      value: 10.514
+    - type: map_at_100
+      value: 10.514
+    - type: map_at_1000
+      value: 10.514
+    - type: map_at_20
+      value: 10.514
+    - type: map_at_3
+      value: 5.662
+    - type: map_at_5
+      value: 7.808
+    - type: mrr_at_1
+      value: 40.816
+    - type: mrr_at_10
+      value: 49.88
+    - type: mrr_at_100
+      value: 49.88
+    - type: mrr_at_1000
+      value: 49.88
+    - type: mrr_at_20
+      value: 49.88
+    - type: mrr_at_3
+      value: 46.259
+    - type: mrr_at_5
+      value: 47.585
+    - type: ndcg_at_1
+      value: 37.755
+    - type: ndcg_at_10
+      value: 25.237
+    - type: ndcg_at_100
+      value: 21.149
+    - type: ndcg_at_1000
+      value: 21.149
+    - type: ndcg_at_20
+      value: 21.401999999999997
+    - type: ndcg_at_3
+      value: 27.465
+    - type: ndcg_at_5
+      value: 26.169999999999998
+    - type: precision_at_1
+      value: 40.816
+    - type: precision_at_10
+      value: 21.224
+    - type: precision_at_100
+      value: 2.122
+    - type: precision_at_1000
+      value: 0.212
+    - type: precision_at_20
+      value: 10.612
+    - type: precision_at_3
+      value: 26.531
+    - type: precision_at_5
+      value: 24.490000000000002
+    - type: recall_at_1
+      value: 3.2750000000000004
+    - type: recall_at_10
+      value: 16.264
+    - type: recall_at_100
+      value: 16.264
+    - type: recall_at_1000
+      value: 16.264
+    - type: recall_at_20
+      value: 16.264
+    - type: recall_at_3
+      value: 6.265999999999999
+    - type: recall_at_5
+      value: 9.677
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 66.181640625
+    - type: ap
+      value: 12.61343083198892
+    - type: f1
+      value: 51.12214559856414
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.543859649122815
+    - type: f1
+      value: 62.742315191046295
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 54.7799424517948
+    - type: v_measures
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0.5581008461735308]
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.24581271979496
+    - type: cos_sim_ap
+      value: 81.34631603712425
+    - type: cos_sim_f1
+      value: 73.6588459099556
+    - type: cos_sim_precision
+      value: 70.91575091575092
+    - type: cos_sim_recall
+      value: 76.62269129287598
+    - type: dot_accuracy
+      value: 86.33247898909221
+    - type: dot_ap
+      value: 74.8713850965631
+    - type: dot_f1
+      value: 69.68152866242038
+    - type: dot_precision
+      value: 67.36453201970444
+    - type: dot_recall
+      value: 72.16358839050132
+    - type: euclidean_accuracy
+      value: 88.37098408535495
+    - type: euclidean_ap
+      value: 81.3880827682646
+    - type: euclidean_f1
+      value: 73.69367056104764
+    - type: euclidean_precision
+      value: 71.76794198549638
+    - type: euclidean_recall
+      value: 75.72559366754618
+    - type: manhattan_accuracy
+      value: 88.28157596709781
+    - type: manhattan_ap
+      value: 81.11568493905267
+    - type: manhattan_f1
+      value: 73.38364779874215
+    - type: manhattan_precision
+      value: 70.1201923076923
+    - type: manhattan_recall
+      value: 76.96569920844327
+    - type: max_accuracy
+      value: 88.37098408535495
+    - type: max_ap
+      value: 81.3880827682646
+    - type: max_f1
+      value: 73.69367056104764
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.54476656188147
+    - type: cos_sim_ap
+      value: 86.93964282285746
+    - type: cos_sim_f1
+      value: 79.50401702190103
+    - type: cos_sim_precision
+      value: 75.93020811435778
+    - type: cos_sim_recall
+      value: 83.43085925469664
+    - type: dot_accuracy
+      value: 88.64050917840649
+    - type: dot_ap
+      value: 84.81007248888473
+    - type: dot_f1
+      value: 77.95706670508572
+    - type: dot_precision
+      value: 73.24038982133189
+    - type: dot_recall
+      value: 83.32306744687403
+    - type: euclidean_accuracy
+      value: 89.53894516241705
+    - type: euclidean_ap
+      value: 86.92299719471643
+    - type: euclidean_f1
+      value: 79.55922060862585
+    - type: euclidean_precision
+      value: 75.61381606325426
+    - type: euclidean_recall
+      value: 83.93902063443178
+    - type: manhattan_accuracy
+      value: 89.5234214305119
+    - type: manhattan_ap
+      value: 86.93261273512803
+    - type: manhattan_f1
+      value: 79.54703705061019
+    - type: manhattan_precision
+      value: 75.90041261626688
+    - type: manhattan_recall
+      value: 83.56174930705266
+    - type: max_accuracy
+      value: 89.54476656188147
+    - type: max_ap
+      value: 86.93964282285746
+    - type: max_f1
+      value: 79.55922060862585
+---
+
 Details to run in https://github.com/raghavlite/TDTE
\ No newline at end of file