add acc.

README.md

@@ -1,3 +1,2869 @@
----
-license: apache-2.0
----
+---
+tags:
+- mteb
+model-index:
+- name: neural-embedding-v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 93.10447761194031
+    - type: ap
+      value: 72.52673607512206
+    - type: f1
+      value: 89.6752355529259
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 97.536525
+    - type: ap
+      value: 96.46802431780014
+    - type: f1
+      value: 97.53623627430422
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 61.17399999999999
+    - type: f1
+      value: 60.40485236445537
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 44.452000000000005
+    - type: map_at_10
+      value: 59.563
+    - type: map_at_100
+      value: 60.014
+    - type: map_at_1000
+      value: 60.016000000000005
+    - type: map_at_20
+      value: 59.923
+    - type: map_at_3
+      value: 55.915000000000006
+    - type: map_at_5
+      value: 58.056
+    - type: mrr_at_1
+      value: 45.804
+    - type: mrr_at_10
+      value: 60.089999999999996
+    - type: mrr_at_100
+      value: 60.541
+    - type: mrr_at_1000
+      value: 60.543
+    - type: mrr_at_20
+      value: 60.45
+    - type: mrr_at_3
+      value: 56.294
+    - type: mrr_at_5
+      value: 58.54899999999999
+    - type: ndcg_at_1
+      value: 44.452000000000005
+    - type: ndcg_at_10
+      value: 67.208
+    - type: ndcg_at_100
+      value: 69.074
+    - type: ndcg_at_1000
+      value: 69.122
+    - type: ndcg_at_20
+      value: 68.474
+    - type: ndcg_at_3
+      value: 59.758
+    - type: ndcg_at_5
+      value: 63.621
+    - type: precision_at_1
+      value: 44.452000000000005
+    - type: precision_at_10
+      value: 9.125
+    - type: precision_at_100
+      value: 0.993
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_20
+      value: 4.808
+    - type: precision_at_3
+      value: 23.637
+    - type: precision_at_5
+      value: 16.06
+    - type: recall_at_1
+      value: 44.452000000000005
+    - type: recall_at_10
+      value: 91.252
+    - type: recall_at_100
+      value: 99.289
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_20
+      value: 96.15899999999999
+    - type: recall_at_3
+      value: 70.91
+    - type: recall_at_5
+      value: 80.29899999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 53.445166004781356
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 48.82101672589653
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 68.44973588765177
+    - type: mrr
+      value: 80.355274150288
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 90.06690068909613
+    - type: cos_sim_spearman
+      value: 87.97730582741434
+    - type: euclidean_pearson
+      value: 86.04185393610108
+    - type: euclidean_spearman
+      value: 85.91340337831018
+    - type: manhattan_pearson
+      value: 86.05913485565931
+    - type: manhattan_spearman
+      value: 85.70195277713228
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.73376623376623
+    - type: f1
+      value: 88.67733851784945
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 48.822459956481474
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 45.068617486695764
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 36.980000000000004
+    - type: map_at_10
+      value: 51.151
+    - type: map_at_100
+      value: 52.852
+    - type: map_at_1000
+      value: 52.957
+    - type: map_at_20
+      value: 52.196
+    - type: map_at_3
+      value: 46.537
+    - type: map_at_5
+      value: 49.025999999999996
+    - type: mrr_at_1
+      value: 45.494
+    - type: mrr_at_10
+      value: 56.765
+    - type: mrr_at_100
+      value: 57.483
+    - type: mrr_at_1000
+      value: 57.508
+    - type: mrr_at_20
+      value: 57.255
+    - type: mrr_at_3
+      value: 53.815000000000005
+    - type: mrr_at_5
+      value: 55.725
+    - type: ndcg_at_1
+      value: 45.494
+    - type: ndcg_at_10
+      value: 58.435
+    - type: ndcg_at_100
+      value: 63.318
+    - type: ndcg_at_1000
+      value: 64.498
+    - type: ndcg_at_20
+      value: 60.88
+    - type: ndcg_at_3
+      value: 52.307
+    - type: ndcg_at_5
+      value: 55.103
+    - type: precision_at_1
+      value: 45.494
+    - type: precision_at_10
+      value: 11.488
+    - type: precision_at_100
+      value: 1.735
+    - type: precision_at_1000
+      value: 0.215
+    - type: precision_at_20
+      value: 6.8309999999999995
+    - type: precision_at_3
+      value: 25.513
+    - type: precision_at_5
+      value: 18.282999999999998
+    - type: recall_at_1
+      value: 36.980000000000004
+    - type: recall_at_10
+      value: 72.82300000000001
+    - type: recall_at_100
+      value: 91.525
+    - type: recall_at_1000
+      value: 98.44800000000001
+    - type: recall_at_20
+      value: 81.345
+    - type: recall_at_3
+      value: 55.044000000000004
+    - type: recall_at_5
+      value: 63.441
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 37.489
+    - type: map_at_10
+      value: 50.708
+    - type: map_at_100
+      value: 52.101
+    - type: map_at_1000
+      value: 52.22
+    - type: map_at_20
+      value: 51.514
+    - type: map_at_3
+      value: 46.915
+    - type: map_at_5
+      value: 49.185
+    - type: mrr_at_1
+      value: 47.643
+    - type: mrr_at_10
+      value: 56.806
+    - type: mrr_at_100
+      value: 57.369
+    - type: mrr_at_1000
+      value: 57.399
+    - type: mrr_at_20
+      value: 57.141
+    - type: mrr_at_3
+      value: 54.437000000000005
+    - type: mrr_at_5
+      value: 55.955999999999996
+    - type: ndcg_at_1
+      value: 47.643
+    - type: ndcg_at_10
+      value: 56.989000000000004
+    - type: ndcg_at_100
+      value: 60.995999999999995
+    - type: ndcg_at_1000
+      value: 62.668
+    - type: ndcg_at_20
+      value: 58.63699999999999
+    - type: ndcg_at_3
+      value: 52.26499999999999
+    - type: ndcg_at_5
+      value: 54.684999999999995
+    - type: precision_at_1
+      value: 47.643
+    - type: precision_at_10
+      value: 10.879
+    - type: precision_at_100
+      value: 1.6320000000000001
+    - type: precision_at_1000
+      value: 0.211
+    - type: precision_at_20
+      value: 6.338000000000001
+    - type: precision_at_3
+      value: 25.52
+    - type: precision_at_5
+      value: 18.229
+    - type: recall_at_1
+      value: 37.489
+    - type: recall_at_10
+      value: 68.10300000000001
+    - type: recall_at_100
+      value: 84.497
+    - type: recall_at_1000
+      value: 94.402
+    - type: recall_at_20
+      value: 73.849
+    - type: recall_at_3
+      value: 53.925
+    - type: recall_at_5
+      value: 60.878
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 45.044000000000004
+    - type: map_at_10
+      value: 59.804
+    - type: map_at_100
+      value: 60.841
+    - type: map_at_1000
+      value: 60.870999999999995
+    - type: map_at_20
+      value: 60.478
+    - type: map_at_3
+      value: 56.169000000000004
+    - type: map_at_5
+      value: 58.331999999999994
+    - type: mrr_at_1
+      value: 51.849999999999994
+    - type: mrr_at_10
+      value: 63.249
+    - type: mrr_at_100
+      value: 63.786
+    - type: mrr_at_1000
+      value: 63.797000000000004
+    - type: mrr_at_20
+      value: 63.592999999999996
+    - type: mrr_at_3
+      value: 60.721000000000004
+    - type: mrr_at_5
+      value: 62.251
+    - type: ndcg_at_1
+      value: 51.849999999999994
+    - type: ndcg_at_10
+      value: 66.122
+    - type: ndcg_at_100
+      value: 69.614
+    - type: ndcg_at_1000
+      value: 70.12
+    - type: ndcg_at_20
+      value: 67.805
+    - type: ndcg_at_3
+      value: 60.348
+    - type: ndcg_at_5
+      value: 63.33800000000001
+    - type: precision_at_1
+      value: 51.849999999999994
+    - type: precision_at_10
+      value: 10.539
+    - type: precision_at_100
+      value: 1.327
+    - type: precision_at_1000
+      value: 0.13999999999999999
+    - type: precision_at_20
+      value: 5.865
+    - type: precision_at_3
+      value: 27.084999999999997
+    - type: precision_at_5
+      value: 18.483
+    - type: recall_at_1
+      value: 45.044000000000004
+    - type: recall_at_10
+      value: 81.192
+    - type: recall_at_100
+      value: 95.597
+    - type: recall_at_1000
+      value: 98.97200000000001
+    - type: recall_at_20
+      value: 87.139
+    - type: recall_at_3
+      value: 65.713
+    - type: recall_at_5
+      value: 73.213
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 29.834
+    - type: map_at_10
+      value: 40.363
+    - type: map_at_100
+      value: 41.559000000000005
+    - type: map_at_1000
+      value: 41.626000000000005
+    - type: map_at_20
+      value: 41.160999999999994
+    - type: map_at_3
+      value: 36.958999999999996
+    - type: map_at_5
+      value: 38.897999999999996
+    - type: mrr_at_1
+      value: 32.429
+    - type: mrr_at_10
+      value: 42.604
+    - type: mrr_at_100
+      value: 43.54
+    - type: mrr_at_1000
+      value: 43.59
+    - type: mrr_at_20
+      value: 43.247
+    - type: mrr_at_3
+      value: 39.528999999999996
+    - type: mrr_at_5
+      value: 41.36
+    - type: ndcg_at_1
+      value: 32.429
+    - type: ndcg_at_10
+      value: 46.39
+    - type: ndcg_at_100
+      value: 51.561
+    - type: ndcg_at_1000
+      value: 53.071
+    - type: ndcg_at_20
+      value: 48.951
+    - type: ndcg_at_3
+      value: 39.796
+    - type: ndcg_at_5
+      value: 43.07
+    - type: precision_at_1
+      value: 32.429
+    - type: precision_at_10
+      value: 7.277
+    - type: precision_at_100
+      value: 1.038
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_20
+      value: 4.249
+    - type: precision_at_3
+      value: 17.024
+    - type: precision_at_5
+      value: 12.113
+    - type: recall_at_1
+      value: 29.834
+    - type: recall_at_10
+      value: 62.808
+    - type: recall_at_100
+      value: 85.47200000000001
+    - type: recall_at_1000
+      value: 96.503
+    - type: recall_at_20
+      value: 72.246
+    - type: recall_at_3
+      value: 45.059
+    - type: recall_at_5
+      value: 52.907000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 22.121
+    - type: map_at_10
+      value: 33.217
+    - type: map_at_100
+      value: 34.671
+    - type: map_at_1000
+      value: 34.77
+    - type: map_at_20
+      value: 34.039
+    - type: map_at_3
+      value: 29.389
+    - type: map_at_5
+      value: 31.749
+    - type: mrr_at_1
+      value: 27.114
+    - type: mrr_at_10
+      value: 37.730999999999995
+    - type: mrr_at_100
+      value: 38.673
+    - type: mrr_at_1000
+      value: 38.725
+    - type: mrr_at_20
+      value: 38.279
+    - type: mrr_at_3
+      value: 34.494
+    - type: mrr_at_5
+      value: 36.609
+    - type: ndcg_at_1
+      value: 27.114
+    - type: ndcg_at_10
+      value: 39.723000000000006
+    - type: ndcg_at_100
+      value: 45.847
+    - type: ndcg_at_1000
+      value: 47.879
+    - type: ndcg_at_20
+      value: 42.129
+    - type: ndcg_at_3
+      value: 33.194
+    - type: ndcg_at_5
+      value: 36.763
+    - type: precision_at_1
+      value: 27.114
+    - type: precision_at_10
+      value: 7.575
+    - type: precision_at_100
+      value: 1.218
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_20
+      value: 4.527
+    - type: precision_at_3
+      value: 16.252
+    - type: precision_at_5
+      value: 12.363
+    - type: recall_at_1
+      value: 22.121
+    - type: recall_at_10
+      value: 54.726
+    - type: recall_at_100
+      value: 80.662
+    - type: recall_at_1000
+      value: 94.645
+    - type: recall_at_20
+      value: 62.977000000000004
+    - type: recall_at_3
+      value: 37.348
+    - type: recall_at_5
+      value: 46.163
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 36.346000000000004
+    - type: map_at_10
+      value: 50.034
+    - type: map_at_100
+      value: 51.37500000000001
+    - type: map_at_1000
+      value: 51.464
+    - type: map_at_20
+      value: 50.739999999999995
+    - type: map_at_3
+      value: 45.948
+    - type: map_at_5
+      value: 48.421
+    - type: mrr_at_1
+      value: 45.043
+    - type: mrr_at_10
+      value: 55.642
+    - type: mrr_at_100
+      value: 56.335
+    - type: mrr_at_1000
+      value: 56.355999999999995
+    - type: mrr_at_20
+      value: 56.027
+    - type: mrr_at_3
+      value: 53.224000000000004
+    - type: mrr_at_5
+      value: 54.798
+    - type: ndcg_at_1
+      value: 45.043
+    - type: ndcg_at_10
+      value: 56.627
+    - type: ndcg_at_100
+      value: 61.751
+    - type: ndcg_at_1000
+      value: 62.873999999999995
+    - type: ndcg_at_20
+      value: 58.521
+    - type: ndcg_at_3
+      value: 50.995999999999995
+    - type: ndcg_at_5
+      value: 54.049
+    - type: precision_at_1
+      value: 45.043
+    - type: precision_at_10
+      value: 10.51
+    - type: precision_at_100
+      value: 1.521
+    - type: precision_at_1000
+      value: 0.179
+    - type: precision_at_20
+      value: 5.958
+    - type: precision_at_3
+      value: 24.703
+    - type: precision_at_5
+      value: 17.671
+    - type: recall_at_1
+      value: 36.346000000000004
+    - type: recall_at_10
+      value: 69.95
+    - type: recall_at_100
+      value: 91.449
+    - type: recall_at_1000
+      value: 98.021
+    - type: recall_at_20
+      value: 76.522
+    - type: recall_at_3
+      value: 54.348
+    - type: recall_at_5
+      value: 62.271
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 28.754
+    - type: map_at_10
+      value: 42.921
+    - type: map_at_100
+      value: 44.440000000000005
+    - type: map_at_1000
+      value: 44.516
+    - type: map_at_20
+      value: 43.815
+    - type: map_at_3
+      value: 38.592999999999996
+    - type: map_at_5
+      value: 41.138999999999996
+    - type: mrr_at_1
+      value: 36.416
+    - type: mrr_at_10
+      value: 48.284
+    - type: mrr_at_100
+      value: 49.086
+    - type: mrr_at_1000
+      value: 49.116
+    - type: mrr_at_20
+      value: 48.741
+    - type: mrr_at_3
+      value: 45.301
+    - type: mrr_at_5
+      value: 47.104
+    - type: ndcg_at_1
+      value: 36.416
+    - type: ndcg_at_10
+      value: 50.257
+    - type: ndcg_at_100
+      value: 55.931
+    - type: ndcg_at_1000
+      value: 57.188
+    - type: ndcg_at_20
+      value: 52.607000000000006
+    - type: ndcg_at_3
+      value: 43.787
+    - type: ndcg_at_5
+      value: 46.941
+    - type: precision_at_1
+      value: 36.416
+    - type: precision_at_10
+      value: 9.783
+    - type: precision_at_100
+      value: 1.465
+    - type: precision_at_1000
+      value: 0.173
+    - type: precision_at_20
+      value: 5.713
+    - type: precision_at_3
+      value: 21.804000000000002
+    - type: precision_at_5
+      value: 16.05
+    - type: recall_at_1
+      value: 28.754
+    - type: recall_at_10
+      value: 66.31099999999999
+    - type: recall_at_100
+      value: 90.034
+    - type: recall_at_1000
+      value: 98.058
+    - type: recall_at_20
+      value: 74.411
+    - type: recall_at_3
+      value: 48.332
+    - type: recall_at_5
+      value: 56.548
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 30.579583333333332
+    - type: map_at_10
+      value: 42.696333333333335
+    - type: map_at_100
+      value: 44.078583333333334
+    - type: map_at_1000
+      value: 44.176333333333325
+    - type: map_at_20
+      value: 43.499833333333335
+    - type: map_at_3
+      value: 38.953583333333334
+    - type: map_at_5
+      value: 41.125583333333324
+    - type: mrr_at_1
+      value: 36.52666666666667
+    - type: mrr_at_10
+      value: 46.925666666666665
+    - type: mrr_at_100
+      value: 47.74333333333334
+    - type: mrr_at_1000
+      value: 47.78266666666667
+    - type: mrr_at_20
+      value: 47.42483333333333
+    - type: mrr_at_3
+      value: 44.068083333333334
+    - type: mrr_at_5
+      value: 45.82383333333333
+    - type: ndcg_at_1
+      value: 36.52666666666667
+    - type: ndcg_at_10
+      value: 49.1145
+    - type: ndcg_at_100
+      value: 54.340583333333335
+    - type: ndcg_at_1000
+      value: 55.90625
+    - type: ndcg_at_20
+      value: 51.32724999999999
+    - type: ndcg_at_3
+      value: 43.146
+    - type: ndcg_at_5
+      value: 46.146166666666666
+    - type: precision_at_1
+      value: 36.52666666666667
+    - type: precision_at_10
+      value: 8.866916666666667
+    - type: precision_at_100
+      value: 1.3526666666666667
+    - type: precision_at_1000
+      value: 0.1670833333333333
+    - type: precision_at_20
+      value: 5.199416666666667
+    - type: precision_at_3
+      value: 20.278333333333332
+    - type: precision_at_5
+      value: 14.614999999999997
+    - type: recall_at_1
+      value: 30.579583333333332
+    - type: recall_at_10
+      value: 63.618416666666675
+    - type: recall_at_100
+      value: 85.86858333333332
+    - type: recall_at_1000
+      value: 96.24825
+    - type: recall_at_20
+      value: 71.52533333333334
+    - type: recall_at_3
+      value: 47.18050000000001
+    - type: recall_at_5
+      value: 54.90683333333334
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 26.180999999999997
+    - type: map_at_10
+      value: 36.4
+    - type: map_at_100
+      value: 37.464999999999996
+    - type: map_at_1000
+      value: 37.556
+    - type: map_at_20
+      value: 36.984
+    - type: map_at_3
+      value: 33.354
+    - type: map_at_5
+      value: 35.214
+    - type: mrr_at_1
+      value: 29.601
+    - type: mrr_at_10
+      value: 39.328
+    - type: mrr_at_100
+      value: 40.113
+    - type: mrr_at_1000
+      value: 40.176
+    - type: mrr_at_20
+      value: 39.751999999999995
+    - type: mrr_at_3
+      value: 36.58
+    - type: mrr_at_5
+      value: 38.313
+    - type: ndcg_at_1
+      value: 29.601
+    - type: ndcg_at_10
+      value: 42.037
+    - type: ndcg_at_100
+      value: 46.946
+    - type: ndcg_at_1000
+      value: 49.075
+    - type: ndcg_at_20
+      value: 43.827
+    - type: ndcg_at_3
+      value: 36.473
+    - type: ndcg_at_5
+      value: 39.482
+    - type: precision_at_1
+      value: 29.601
+    - type: precision_at_10
+      value: 7.009
+    - type: precision_at_100
+      value: 1.0290000000000001
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_20
+      value: 4.018
+    - type: precision_at_3
+      value: 16.36
+    - type: precision_at_5
+      value: 11.779
+    - type: recall_at_1
+      value: 26.180999999999997
+    - type: recall_at_10
+      value: 56.275
+    - type: recall_at_100
+      value: 78.61200000000001
+    - type: recall_at_1000
+      value: 93.887
+    - type: recall_at_20
+      value: 62.798
+    - type: recall_at_3
+      value: 41.157
+    - type: recall_at_5
+      value: 48.49
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 20.205000000000002
+    - type: map_at_10
+      value: 29.947000000000003
+    - type: map_at_100
+      value: 31.342
+    - type: map_at_1000
+      value: 31.458000000000002
+    - type: map_at_20
+      value: 30.741000000000003
+    - type: map_at_3
+      value: 26.568
+    - type: map_at_5
+      value: 28.372999999999998
+    - type: mrr_at_1
+      value: 24.742
+    - type: mrr_at_10
+      value: 33.941
+    - type: mrr_at_100
+      value: 34.92
+    - type: mrr_at_1000
+      value: 34.981
+    - type: mrr_at_20
+      value: 34.509
+    - type: mrr_at_3
+      value: 31.097
+    - type: mrr_at_5
+      value: 32.631
+    - type: ndcg_at_1
+      value: 24.742
+    - type: ndcg_at_10
+      value: 35.884
+    - type: ndcg_at_100
+      value: 41.839999999999996
+    - type: ndcg_at_1000
+      value: 44.162
+    - type: ndcg_at_20
+      value: 38.273
+    - type: ndcg_at_3
+      value: 30.073
+    - type: ndcg_at_5
+      value: 32.617000000000004
+    - type: precision_at_1
+      value: 24.742
+    - type: precision_at_10
+      value: 6.958
+    - type: precision_at_100
+      value: 1.155
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_20
+      value: 4.202
+    - type: precision_at_3
+      value: 14.568
+    - type: precision_at_5
+      value: 10.757
+    - type: recall_at_1
+      value: 20.205000000000002
+    - type: recall_at_10
+      value: 49.603
+    - type: recall_at_100
+      value: 75.77000000000001
+    - type: recall_at_1000
+      value: 91.767
+    - type: recall_at_20
+      value: 58.309
+    - type: recall_at_3
+      value: 33.353
+    - type: recall_at_5
+      value: 39.947
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 31.543
+    - type: map_at_10
+      value: 43.895
+    - type: map_at_100
+      value: 45.233000000000004
+    - type: map_at_1000
+      value: 45.314
+    - type: map_at_20
+      value: 44.707
+    - type: map_at_3
+      value: 40.165
+    - type: map_at_5
+      value: 42.353
+    - type: mrr_at_1
+      value: 37.5
+    - type: mrr_at_10
+      value: 47.814
+    - type: mrr_at_100
+      value: 48.701
+    - type: mrr_at_1000
+      value: 48.74
+    - type: mrr_at_20
+      value: 48.378
+    - type: mrr_at_3
+      value: 45.04
+    - type: mrr_at_5
+      value: 46.729
+    - type: ndcg_at_1
+      value: 37.5
+    - type: ndcg_at_10
+      value: 50.312999999999995
+    - type: ndcg_at_100
+      value: 55.696999999999996
+    - type: ndcg_at_1000
+      value: 57.135000000000005
+    - type: ndcg_at_20
+      value: 52.734
+    - type: ndcg_at_3
+      value: 44.263000000000005
+    - type: ndcg_at_5
+      value: 47.268
+    - type: precision_at_1
+      value: 37.5
+    - type: precision_at_10
+      value: 8.871
+    - type: precision_at_100
+      value: 1.278
+    - type: precision_at_1000
+      value: 0.149
+    - type: precision_at_20
+      value: 5.117
+    - type: precision_at_3
+      value: 20.709
+    - type: precision_at_5
+      value: 14.832
+    - type: recall_at_1
+      value: 31.543
+    - type: recall_at_10
+      value: 65.694
+    - type: recall_at_100
+      value: 88.105
+    - type: recall_at_1000
+      value: 97.38
+    - type: recall_at_20
+      value: 74.307
+    - type: recall_at_3
+      value: 49.254999999999995
+    - type: recall_at_5
+      value: 56.85
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 29.325000000000003
+    - type: map_at_10
+      value: 40.653
+    - type: map_at_100
+      value: 42.568
+    - type: map_at_1000
+      value: 42.782
+    - type: map_at_20
+      value: 41.638999999999996
+    - type: map_at_3
+      value: 36.726
+    - type: map_at_5
+      value: 38.911
+    - type: mrr_at_1
+      value: 34.98
+    - type: mrr_at_10
+      value: 45.281
+    - type: mrr_at_100
+      value: 46.255
+    - type: mrr_at_1000
+      value: 46.29
+    - type: mrr_at_20
+      value: 45.94
+    - type: mrr_at_3
+      value: 41.831
+    - type: mrr_at_5
+      value: 44.045
+    - type: ndcg_at_1
+      value: 34.98
+    - type: ndcg_at_10
+      value: 47.629
+    - type: ndcg_at_100
+      value: 53.912000000000006
+    - type: ndcg_at_1000
+      value: 55.48
+    - type: ndcg_at_20
+      value: 50.281
+    - type: ndcg_at_3
+      value: 41.211999999999996
+    - type: ndcg_at_5
+      value: 44.529
+    - type: precision_at_1
+      value: 34.98
+    - type: precision_at_10
+      value: 9.229
+    - type: precision_at_100
+      value: 1.854
+    - type: precision_at_1000
+      value: 0.258
+    - type: precision_at_20
+      value: 5.8500000000000005
+    - type: precision_at_3
+      value: 19.631
+    - type: precision_at_5
+      value: 14.506
+    - type: recall_at_1
+      value: 29.325000000000003
+    - type: recall_at_10
+      value: 61.894000000000005
+    - type: recall_at_100
+      value: 88.684
+    - type: recall_at_1000
+      value: 97.83800000000001
+    - type: recall_at_20
+      value: 71.758
+    - type: recall_at_3
+      value: 44.265
+    - type: recall_at_5
+      value: 53.051
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 23.133
+    - type: map_at_10
+      value: 33.263
+    - type: map_at_100
+      value: 34.496
+    - type: map_at_1000
+      value: 34.582
+    - type: map_at_20
+      value: 33.983999999999995
+    - type: map_at_3
+      value: 30.12
+    - type: map_at_5
+      value: 31.906000000000002
+    - type: mrr_at_1
+      value: 25.507999999999996
+    - type: mrr_at_10
+      value: 35.663
+    - type: mrr_at_100
+      value: 36.659000000000006
+    - type: mrr_at_1000
+      value: 36.714
+    - type: mrr_at_20
+      value: 36.236000000000004
+    - type: mrr_at_3
+      value: 32.748
+    - type: mrr_at_5
+      value: 34.365
+    - type: ndcg_at_1
+      value: 25.507999999999996
+    - type: ndcg_at_10
+      value: 38.968
+    - type: ndcg_at_100
+      value: 44.674
+    - type: ndcg_at_1000
+      value: 46.725
+    - type: ndcg_at_20
+      value: 41.282000000000004
+    - type: ndcg_at_3
+      value: 33.038000000000004
+    - type: ndcg_at_5
+      value: 35.909
+    - type: precision_at_1
+      value: 25.507999999999996
+    - type: precision_at_10
+      value: 6.285
+    - type: precision_at_100
+      value: 0.98
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_20
+      value: 3.7249999999999996
+    - type: precision_at_3
+      value: 14.171
+    - type: precision_at_5
+      value: 10.314
+    - type: recall_at_1
+      value: 23.133
+    - type: recall_at_10
+      value: 54.042
+    - type: recall_at_100
+      value: 80.01599999999999
+    - type: recall_at_1000
+      value: 95.05799999999999
+    - type: recall_at_20
+      value: 62.643
+    - type: recall_at_3
+      value: 38.367000000000004
+    - type: recall_at_5
+      value: 45.123000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 13.923
+    - type: map_at_10
+      value: 23.415
+    - type: map_at_100
+      value: 25.389
+    - type: map_at_1000
+      value: 25.539
+    - type: map_at_20
+      value: 24.462
+    - type: map_at_3
+      value: 19.719
+    - type: map_at_5
+      value: 21.75
+    - type: mrr_at_1
+      value: 31.205
+    - type: mrr_at_10
+      value: 43.196
+    - type: mrr_at_100
+      value: 44.039
+    - type: mrr_at_1000
+      value: 44.071
+    - type: mrr_at_20
+      value: 43.744
+    - type: mrr_at_3
+      value: 40.033
+    - type: mrr_at_5
+      value: 41.967
+    - type: ndcg_at_1
+      value: 31.205
+    - type: ndcg_at_10
+      value: 32.304
+    - type: ndcg_at_100
+      value: 39.717
+    - type: ndcg_at_1000
+      value: 42.559999999999995
+    - type: ndcg_at_20
+      value: 35.166
+    - type: ndcg_at_3
+      value: 26.955000000000002
+    - type: ndcg_at_5
+      value: 28.967
+    - type: precision_at_1
+      value: 31.205
+    - type: precision_at_10
+      value: 9.948
+    - type: precision_at_100
+      value: 1.7870000000000001
+    - type: precision_at_1000
+      value: 0.233
+    - type: precision_at_20
+      value: 6.205
+    - type: precision_at_3
+      value: 20.108999999999998
+    - type: precision_at_5
+      value: 15.453
+    - type: recall_at_1
+      value: 13.923
+    - type: recall_at_10
+      value: 37.885000000000005
+    - type: recall_at_100
+      value: 63.352
+    - type: recall_at_1000
+      value: 79.372
+    - type: recall_at_20
+      value: 45.954
+    - type: recall_at_3
+      value: 24.511
+    - type: recall_at_5
+      value: 30.451
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 9.584
+    - type: map_at_10
+      value: 23.432
+    - type: map_at_100
+      value: 32.513
+    - type: map_at_1000
+      value: 34.27
+    - type: map_at_20
+      value: 27.18
+    - type: map_at_3
+      value: 16.145
+    - type: map_at_5
+      value: 19.405
+    - type: mrr_at_1
+      value: 74.5
+    - type: mrr_at_10
+      value: 81.233
+    - type: mrr_at_100
+      value: 81.463
+    - type: mrr_at_1000
+      value: 81.46900000000001
+    - type: mrr_at_20
+      value: 81.394
+    - type: mrr_at_3
+      value: 79.958
+    - type: mrr_at_5
+      value: 80.808
+    - type: ndcg_at_1
+      value: 62.125
+    - type: ndcg_at_10
+      value: 48.047000000000004
+    - type: ndcg_at_100
+      value: 52.251999999999995
+    - type: ndcg_at_1000
+      value: 59.353
+    - type: ndcg_at_20
+      value: 47.264
+    - type: ndcg_at_3
+      value: 52.891999999999996
+    - type: ndcg_at_5
+      value: 50.766999999999996
+    - type: precision_at_1
+      value: 74.5
+    - type: precision_at_10
+      value: 38.15
+    - type: precision_at_100
+      value: 11.51
+    - type: precision_at_1000
+      value: 2.183
+    - type: precision_at_20
+      value: 28.749999999999996
+    - type: precision_at_3
+      value: 56.25
+    - type: precision_at_5
+      value: 49.1
+    - type: recall_at_1
+      value: 9.584
+    - type: recall_at_10
+      value: 29.215999999999998
+    - type: recall_at_100
+      value: 57.914
+    - type: recall_at_1000
+      value: 80.67699999999999
+    - type: recall_at_20
+      value: 37.358000000000004
+    - type: recall_at_3
+      value: 17.422
+    - type: recall_at_5
+      value: 22.345000000000002
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 91.36000000000001
+    - type: f1
+      value: 87.72724279223316
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 78.81700000000001
+    - type: map_at_10
+      value: 86.392
+    - type: map_at_100
+      value: 86.6
+    - type: map_at_1000
+      value: 86.611
+    - type: map_at_20
+      value: 86.521
+    - type: map_at_3
+      value: 85.31
+    - type: map_at_5
+      value: 86.047
+    - type: mrr_at_1
+      value: 84.878
+    - type: mrr_at_10
+      value: 90.359
+    - type: mrr_at_100
+      value: 90.426
+    - type: mrr_at_1000
+      value: 90.427
+    - type: mrr_at_20
+      value: 90.405
+    - type: mrr_at_3
+      value: 89.761
+    - type: mrr_at_5
+      value: 90.191
+    - type: ndcg_at_1
+      value: 84.878
+    - type: ndcg_at_10
+      value: 89.459
+    - type: ndcg_at_100
+      value: 90.171
+    - type: ndcg_at_1000
+      value: 90.349
+    - type: ndcg_at_20
+      value: 89.788
+    - type: ndcg_at_3
+      value: 87.908
+    - type: ndcg_at_5
+      value: 88.844
+    - type: precision_at_1
+      value: 84.878
+    - type: precision_at_10
+      value: 10.639
+    - type: precision_at_100
+      value: 1.123
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_20
+      value: 5.427
+    - type: precision_at_3
+      value: 33.333
+    - type: precision_at_5
+      value: 20.696
+    - type: recall_at_1
+      value: 78.81700000000001
+    - type: recall_at_10
+      value: 94.959
+    - type: recall_at_100
+      value: 97.72800000000001
+    - type: recall_at_1000
+      value: 98.791
+    - type: recall_at_20
+      value: 96.036
+    - type: recall_at_3
+      value: 90.727
+    - type: recall_at_5
+      value: 93.12899999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 29.596
+    - type: map_at_10
+      value: 50.833
+    - type: map_at_100
+      value: 53.034000000000006
+    - type: map_at_1000
+      value: 53.135
+    - type: map_at_20
+      value: 52.195
+    - type: map_at_3
+      value: 44.247
+    - type: map_at_5
+      value: 48.107
+    - type: mrr_at_1
+      value: 57.87
+    - type: mrr_at_10
+      value: 65.566
+    - type: mrr_at_100
+      value: 66.15299999999999
+    - type: mrr_at_1000
+      value: 66.168
+    - type: mrr_at_20
+      value: 65.923
+    - type: mrr_at_3
+      value: 63.55499999999999
+    - type: mrr_at_5
+      value: 64.727
+    - type: ndcg_at_1
+      value: 57.87
+    - type: ndcg_at_10
+      value: 58.943999999999996
+    - type: ndcg_at_100
+      value: 65.283
+    - type: ndcg_at_1000
+      value: 66.706
+    - type: ndcg_at_20
+      value: 61.778999999999996
+    - type: ndcg_at_3
+      value: 54.554
+    - type: ndcg_at_5
+      value: 56.159000000000006
+    - type: precision_at_1
+      value: 57.87
+    - type: precision_at_10
+      value: 16.435
+    - type: precision_at_100
+      value: 2.307
+    - type: precision_at_1000
+      value: 0.256
+    - type: precision_at_20
+      value: 9.522
+    - type: precision_at_3
+      value: 36.986000000000004
+    - type: precision_at_5
+      value: 27.16
+    - type: recall_at_1
+      value: 29.596
+    - type: recall_at_10
+      value: 66.705
+    - type: recall_at_100
+      value: 89.45
+    - type: recall_at_1000
+      value: 97.758
+    - type: recall_at_20
+      value: 75.13300000000001
+    - type: recall_at_3
+      value: 49.689
+    - type: recall_at_5
+      value: 57.701
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 42.532
+    - type: map_at_10
+      value: 71.931
+    - type: map_at_100
+      value: 72.623
+    - type: map_at_1000
+      value: 72.662
+    - type: map_at_20
+      value: 72.355
+    - type: map_at_3
+      value: 68.72200000000001
+    - type: map_at_5
+      value: 70.813
+    - type: mrr_at_1
+      value: 85.064
+    - type: mrr_at_10
+      value: 89.69500000000001
+    - type: mrr_at_100
+      value: 89.792
+    - type: mrr_at_1000
+      value: 89.795
+    - type: mrr_at_20
+      value: 89.759
+    - type: mrr_at_3
+      value: 89.129
+    - type: mrr_at_5
+      value: 89.5
+    - type: ndcg_at_1
+      value: 85.064
+    - type: ndcg_at_10
+      value: 78.86999999999999
+    - type: ndcg_at_100
+      value: 81.134
+    - type: ndcg_at_1000
+      value: 81.862
+    - type: ndcg_at_20
+      value: 79.888
+    - type: ndcg_at_3
+      value: 74.579
+    - type: ndcg_at_5
+      value: 77.086
+    - type: precision_at_1
+      value: 85.064
+    - type: precision_at_10
+      value: 16.433
+    - type: precision_at_100
+      value: 1.818
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_20
+      value: 8.545
+    - type: precision_at_3
+      value: 48.508
+    - type: precision_at_5
+      value: 31.084
+    - type: recall_at_1
+      value: 42.532
+    - type: recall_at_10
+      value: 82.167
+    - type: recall_at_100
+      value: 90.905
+    - type: recall_at_1000
+      value: 95.699
+    - type: recall_at_20
+      value: 85.449
+    - type: recall_at_3
+      value: 72.762
+    - type: recall_at_5
+      value: 77.711
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 96.91919999999999
+    - type: ap
+      value: 95.88443935380744
+    - type: f1
+      value: 96.91873838978964
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 21.747
+    - type: map_at_10
+      value: 34.764
+    - type: map_at_100
+      value: 35.981
+    - type: map_at_1000
+      value: 36.027
+    - type: map_at_20
+      value: 35.557
+    - type: map_at_3
+      value: 30.770999999999997
+    - type: map_at_5
+      value: 33.07
+    - type: mrr_at_1
+      value: 22.421
+    - type: mrr_at_10
+      value: 35.417
+    - type: mrr_at_100
+      value: 36.57
+    - type: mrr_at_1000
+      value: 36.61
+    - type: mrr_at_20
+      value: 36.174
+    - type: mrr_at_3
+      value: 31.516
+    - type: mrr_at_5
+      value: 33.783
+    - type: ndcg_at_1
+      value: 22.421
+    - type: ndcg_at_10
+      value: 42.003
+    - type: ndcg_at_100
+      value: 47.674
+    - type: ndcg_at_1000
+      value: 48.783
+    - type: ndcg_at_20
+      value: 44.789
+    - type: ndcg_at_3
+      value: 33.918
+    - type: ndcg_at_5
+      value: 38.011
+    - type: precision_at_1
+      value: 22.421
+    - type: precision_at_10
+      value: 6.712
+    - type: precision_at_100
+      value: 0.9520000000000001
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_20
+      value: 3.9309999999999996
+    - type: precision_at_3
+      value: 14.632000000000001
+    - type: precision_at_5
+      value: 10.845
+    - type: recall_at_1
+      value: 21.747
+    - type: recall_at_10
+      value: 64.2
+    - type: recall_at_100
+      value: 90.04100000000001
+    - type: recall_at_1000
+      value: 98.41499999999999
+    - type: recall_at_20
+      value: 74.982
+    - type: recall_at_3
+      value: 42.303000000000004
+    - type: recall_at_5
+      value: 52.11
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 99.02872777017784
+    - type: f1
+      value: 98.8785703018425
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 90.93935248518011
+    - type: f1
+      value: 75.46510480635821
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 82.49831876260927
+    - type: f1
+      value: 79.43439001730579
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 84.50235373234702
+    - type: f1
+      value: 84.03906668934695
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 42.634572576984716
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 40.96861872930255
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.986207669202933
+    - type: mrr
+      value: 33.11375583060012
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 6.783
+    - type: map_at_10
+      value: 16.276
+    - type: map_at_100
+      value: 21.324
+    - type: map_at_1000
+      value: 23.166
+    - type: map_at_20
+      value: 18.383
+    - type: map_at_3
+      value: 11.296000000000001
+    - type: map_at_5
+      value: 13.504
+    - type: mrr_at_1
+      value: 53.559999999999995
+    - type: mrr_at_10
+      value: 61.589000000000006
+    - type: mrr_at_100
+      value: 62.11600000000001
+    - type: mrr_at_1000
+      value: 62.158
+    - type: mrr_at_20
+      value: 61.976
+    - type: mrr_at_3
+      value: 59.855999999999995
+    - type: mrr_at_5
+      value: 60.877
+    - type: ndcg_at_1
+      value: 50.15500000000001
+    - type: ndcg_at_10
+      value: 42.598
+    - type: ndcg_at_100
+      value: 39.15
+    - type: ndcg_at_1000
+      value: 47.888999999999996
+    - type: ndcg_at_20
+      value: 39.956
+    - type: ndcg_at_3
+      value: 46.836
+    - type: ndcg_at_5
+      value: 45.001000000000005
+    - type: precision_at_1
+      value: 52.322
+    - type: precision_at_10
+      value: 32.601
+    - type: precision_at_100
+      value: 10.145999999999999
+    - type: precision_at_1000
+      value: 2.358
+    - type: precision_at_20
+      value: 24.025
+    - type: precision_at_3
+      value: 44.169000000000004
+    - type: precision_at_5
+      value: 39.628
+    - type: recall_at_1
+      value: 6.783
+    - type: recall_at_10
+      value: 21.175
+    - type: recall_at_100
+      value: 40.097
+    - type: recall_at_1000
+      value: 71.65
+    - type: recall_at_20
+      value: 26.465
+    - type: recall_at_3
+      value: 12.589
+    - type: recall_at_5
+      value: 15.867999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 43.376
+    - type: map_at_10
+      value: 60.968
+    - type: map_at_100
+      value: 61.614999999999995
+    - type: map_at_1000
+      value: 61.626000000000005
+    - type: map_at_20
+      value: 61.441
+    - type: map_at_3
+      value: 56.858
+    - type: map_at_5
+      value: 59.476
+    - type: mrr_at_1
+      value: 48.841
+    - type: mrr_at_10
+      value: 63.366
+    - type: mrr_at_100
+      value: 63.79
+    - type: mrr_at_1000
+      value: 63.797000000000004
+    - type: mrr_at_20
+      value: 63.682
+    - type: mrr_at_3
+      value: 60.535000000000004
+    - type: mrr_at_5
+      value: 62.348000000000006
+    - type: ndcg_at_1
+      value: 48.841
+    - type: ndcg_at_10
+      value: 68.362
+    - type: ndcg_at_100
+      value: 70.799
+    - type: ndcg_at_1000
+      value: 71.004
+    - type: ndcg_at_20
+      value: 69.804
+    - type: ndcg_at_3
+      value: 61.251
+    - type: ndcg_at_5
+      value: 65.28500000000001
+    - type: precision_at_1
+      value: 48.841
+    - type: precision_at_10
+      value: 10.588000000000001
+    - type: precision_at_100
+      value: 1.194
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_20
+      value: 5.646
+    - type: precision_at_3
+      value: 27.298000000000002
+    - type: precision_at_5
+      value: 18.841
+    - type: recall_at_1
+      value: 43.376
+    - type: recall_at_10
+      value: 88.053
+    - type: recall_at_100
+      value: 98.194
+    - type: recall_at_1000
+      value: 99.67200000000001
+    - type: recall_at_20
+      value: 93.318
+    - type: recall_at_3
+      value: 70.281
+    - type: recall_at_5
+      value: 79.28
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+    metrics:
+    - type: map_at_1
+      value: 71.477
+    - type: map_at_10
+      value: 85.548
+    - type: map_at_100
+      value: 86.187
+    - type: map_at_1000
+      value: 86.199
+    - type: map_at_20
+      value: 85.971
+    - type: map_at_3
+      value: 82.50999999999999
+    - type: map_at_5
+      value: 84.447
+    - type: mrr_at_1
+      value: 82.35
+    - type: mrr_at_10
+      value: 88.039
+    - type: mrr_at_100
+      value: 88.14699999999999
+    - type: mrr_at_1000
+      value: 88.14699999999999
+    - type: mrr_at_20
+      value: 88.12100000000001
+    - type: mrr_at_3
+      value: 87.048
+    - type: mrr_at_5
+      value: 87.73100000000001
+    - type: ndcg_at_1
+      value: 82.35
+    - type: ndcg_at_10
+      value: 89.024
+    - type: ndcg_at_100
+      value: 90.18599999999999
+    - type: ndcg_at_1000
+      value: 90.245
+    - type: ndcg_at_20
+      value: 89.67399999999999
+    - type: ndcg_at_3
+      value: 86.167
+    - type: ndcg_at_5
+      value: 87.779
+    - type: precision_at_1
+      value: 82.35
+    - type: precision_at_10
+      value: 13.565
+    - type: precision_at_100
+      value: 1.544
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_20
+      value: 7.2010000000000005
+    - type: precision_at_3
+      value: 37.773
+    - type: precision_at_5
+      value: 24.924
+    - type: recall_at_1
+      value: 71.477
+    - type: recall_at_10
+      value: 95.821
+    - type: recall_at_100
+      value: 99.737
+    - type: recall_at_1000
+      value: 99.98599999999999
+    - type: recall_at_20
+      value: 97.90100000000001
+    - type: recall_at_3
+      value: 87.61
+    - type: recall_at_5
+      value: 92.135
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 66.43811157811552
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+    metrics:
+    - type: v_measure
+      value: 69.56403346330322
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+    metrics:
+    - type: map_at_1
+      value: 6.253
+    - type: map_at_10
+      value: 17.379
+    - type: map_at_100
+      value: 20.51
+    - type: map_at_1000
+      value: 20.881
+    - type: map_at_20
+      value: 18.983
+    - type: map_at_3
+      value: 12.061
+    - type: map_at_5
+      value: 14.546000000000001
+    - type: mrr_at_1
+      value: 30.8
+    - type: mrr_at_10
+      value: 43.814
+    - type: mrr_at_100
+      value: 44.883
+    - type: mrr_at_1000
+      value: 44.906
+    - type: mrr_at_20
+      value: 44.555
+    - type: mrr_at_3
+      value: 40.416999999999994
+    - type: mrr_at_5
+      value: 42.482
+    - type: ndcg_at_1
+      value: 30.8
+    - type: ndcg_at_10
+      value: 27.694999999999997
+    - type: ndcg_at_100
+      value: 38.248
+    - type: ndcg_at_1000
+      value: 43.547000000000004
+    - type: ndcg_at_20
+      value: 31.573
+    - type: ndcg_at_3
+      value: 26.239
+    - type: ndcg_at_5
+      value: 22.817999999999998
+    - type: precision_at_1
+      value: 30.8
+    - type: precision_at_10
+      value: 14.540000000000001
+    - type: precision_at_100
+      value: 2.9690000000000003
+    - type: precision_at_1000
+      value: 0.422
+    - type: precision_at_20
+      value: 9.5
+    - type: precision_at_3
+      value: 24.967
+    - type: precision_at_5
+      value: 20.22
+    - type: recall_at_1
+      value: 6.253
+    - type: recall_at_10
+      value: 29.465000000000003
+    - type: recall_at_100
+      value: 60.28
+    - type: recall_at_1000
+      value: 85.712
+    - type: recall_at_20
+      value: 38.578
+    - type: recall_at_3
+      value: 15.201999999999998
+    - type: recall_at_5
+      value: 20.507
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.88263045065128
+    - type: cos_sim_spearman
+      value: 83.2199052396249
+    - type: euclidean_pearson
+      value: 83.89316748784084
+    - type: euclidean_spearman
+      value: 82.80089923470608
+    - type: manhattan_pearson
+      value: 83.79340504513027
+    - type: manhattan_spearman
+      value: 82.57647453394455
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.23417612553622
+    - type: cos_sim_spearman
+      value: 79.40077017685032
+    - type: euclidean_pearson
+      value: 82.98069591415172
+    - type: euclidean_spearman
+      value: 77.72626690650102
+    - type: manhattan_pearson
+      value: 83.2549008896714
+    - type: manhattan_spearman
+      value: 77.97517379409553
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.94319057478221
+    - type: cos_sim_spearman
+      value: 89.57673217959568
+    - type: euclidean_pearson
+      value: 88.52164819479393
+    - type: euclidean_spearman
+      value: 89.28792930444656
+    - type: manhattan_pearson
+      value: 88.63748131889201
+    - type: manhattan_spearman
+      value: 89.5337354128652
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.0002285020644
+    - type: cos_sim_spearman
+      value: 84.85558709405255
+    - type: euclidean_pearson
+      value: 85.76743275817024
+    - type: euclidean_spearman
+      value: 84.7900299161083
+    - type: manhattan_pearson
+      value: 85.81372778099167
+    - type: manhattan_spearman
+      value: 84.88975144080597
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.90992300865088
+    - type: cos_sim_spearman
+      value: 89.89952259773258
+    - type: euclidean_pearson
+      value: 88.95472170794739
+    - type: euclidean_spearman
+      value: 89.79840257558794
+    - type: manhattan_pearson
+      value: 89.00903847816028
+    - type: manhattan_spearman
+      value: 89.99292271664685
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.75044299994977
+    - type: cos_sim_spearman
+      value: 86.31137676221347
+    - type: euclidean_pearson
+      value: 85.03198959400133
+    - type: euclidean_spearman
+      value: 85.62611072515675
+    - type: manhattan_pearson
+      value: 85.11681545306745
+    - type: manhattan_spearman
+      value: 85.75766564037835
+  - 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: 91.85595137809975
+    - type: cos_sim_spearman
+      value: 91.19454529401669
+    - type: euclidean_pearson
+      value: 90.88727698604517
+    - type: euclidean_spearman
+      value: 90.93184869101279
+    - type: manhattan_pearson
+      value: 90.79591587599141
+    - type: manhattan_spearman
+      value: 90.75783237234161
+  - 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: 71.60579944207497
+    - type: cos_sim_spearman
+      value: 70.08286575049202
+    - type: euclidean_pearson
+      value: 71.83195353568124
+    - type: euclidean_spearman
+      value: 70.3030975376705
+    - type: manhattan_pearson
+      value: 71.80222200714064
+    - type: manhattan_spearman
+      value: 70.04005646739672
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.65716781275425
+    - type: cos_sim_spearman
+      value: 89.90701888074334
+    - type: euclidean_pearson
+      value: 88.50498754631819
+    - type: euclidean_spearman
+      value: 88.88763469318933
+    - type: manhattan_pearson
+      value: 88.58398429591064
+    - type: manhattan_spearman
+      value: 89.0138386837653
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 89.26199160020026
+    - type: mrr
+      value: 96.86981772766087
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 62.827999999999996
+    - type: map_at_10
+      value: 74.028
+    - type: map_at_100
+      value: 74.264
+    - type: map_at_1000
+      value: 74.274
+    - type: map_at_20
+      value: 74.18599999999999
+    - type: map_at_3
+      value: 70.787
+    - type: map_at_5
+      value: 72.87
+    - type: mrr_at_1
+      value: 66.333
+    - type: mrr_at_10
+      value: 74.894
+    - type: mrr_at_100
+      value: 75.09599999999999
+    - type: mrr_at_1000
+      value: 75.105
+    - type: mrr_at_20
+      value: 75.024
+    - type: mrr_at_3
+      value: 72.833
+    - type: mrr_at_5
+      value: 73.917
+    - type: ndcg_at_1
+      value: 66.333
+    - type: ndcg_at_10
+      value: 78.82000000000001
+    - type: ndcg_at_100
+      value: 79.95
+    - type: ndcg_at_1000
+      value: 80.207
+    - type: ndcg_at_20
+      value: 79.324
+    - type: ndcg_at_3
+      value: 73.87899999999999
+    - type: ndcg_at_5
+      value: 76.399
+    - type: precision_at_1
+      value: 66.333
+    - type: precision_at_10
+      value: 10.5
+    - type: precision_at_100
+      value: 1.11
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_20
+      value: 5.367
+    - type: precision_at_3
+      value: 29.110999999999997
+    - type: precision_at_5
+      value: 19.333
+    - type: recall_at_1
+      value: 62.827999999999996
+    - type: recall_at_10
+      value: 92.667
+    - type: recall_at_100
+      value: 98.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_20
+      value: 94.5
+    - type: recall_at_3
+      value: 79.5
+    - type: recall_at_5
+      value: 85.739
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.85940594059406
+    - type: cos_sim_ap
+      value: 96.72065839344104
+    - type: cos_sim_f1
+      value: 92.85714285714286
+    - type: cos_sim_precision
+      value: 93.42105263157895
+    - type: cos_sim_recall
+      value: 92.30000000000001
+    - type: dot_accuracy
+      value: 99.84752475247525
+    - type: dot_ap
+      value: 96.41536649209695
+    - type: dot_f1
+      value: 92.24572004028197
+    - type: dot_precision
+      value: 92.90060851926978
+    - type: dot_recall
+      value: 91.60000000000001
+    - type: euclidean_accuracy
+      value: 99.86039603960396
+    - type: euclidean_ap
+      value: 96.63078081708719
+    - type: euclidean_f1
+      value: 92.87518948964124
+    - type: euclidean_precision
+      value: 93.87129724208376
+    - type: euclidean_recall
+      value: 91.9
+    - type: manhattan_accuracy
+      value: 99.86435643564356
+    - type: manhattan_ap
+      value: 96.71272943532432
+    - type: manhattan_f1
+      value: 93.05625950329447
+    - type: manhattan_precision
+      value: 94.34737923946557
+    - type: manhattan_recall
+      value: 91.8
+    - type: max_accuracy
+      value: 99.86435643564356
+    - type: max_ap
+      value: 96.72065839344104
+    - type: max_f1
+      value: 93.05625950329447
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 75.95483275621876
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 46.20364113200157
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 56.2577092438525
+    - type: mrr
+      value: 57.40251782531194
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.492357459875645
+    - type: cos_sim_spearman
+      value: 30.868968719156825
+    - type: dot_pearson
+      value: 29.44619482351129
+    - type: dot_spearman
+      value: 31.295984532577215
+  - 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: 1.9290000000000003
+    - type: map_at_100
+      value: 12.435
+    - type: map_at_1000
+      value: 32.352
+    - type: map_at_20
+      value: 3.496
+    - type: map_at_3
+      value: 0.637
+    - type: map_at_5
+      value: 1.016
+    - type: mrr_at_1
+      value: 86.0
+    - type: mrr_at_10
+      value: 92.333
+    - type: mrr_at_100
+      value: 92.333
+    - type: mrr_at_1000
+      value: 92.333
+    - type: mrr_at_20
+      value: 92.333
+    - type: mrr_at_3
+      value: 92.0
+    - type: mrr_at_5
+      value: 92.0
+    - type: ndcg_at_1
+      value: 81.0
+    - type: ndcg_at_10
+      value: 75.32900000000001
+    - type: ndcg_at_100
+      value: 62.756
+    - type: ndcg_at_1000
+      value: 59.232
+    - type: ndcg_at_20
+      value: 73.393
+    - type: ndcg_at_3
+      value: 78.469
+    - type: ndcg_at_5
+      value: 76.953
+    - type: precision_at_1
+      value: 86.0
+    - type: precision_at_10
+      value: 79.4
+    - type: precision_at_100
+      value: 64.94
+    - type: precision_at_1000
+      value: 26.332
+    - type: precision_at_20
+      value: 77.3
+    - type: precision_at_3
+      value: 82.667
+    - type: precision_at_5
+      value: 80.4
+    - type: recall_at_1
+      value: 0.22200000000000003
+    - type: recall_at_10
+      value: 2.113
+    - type: recall_at_100
+      value: 16.02
+    - type: recall_at_1000
+      value: 57.227
+    - type: recall_at_20
+      value: 4.036
+    - type: recall_at_3
+      value: 0.6689999999999999
+    - type: recall_at_5
+      value: 1.076
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.83
+    - type: map_at_10
+      value: 8.981
+    - type: map_at_100
+      value: 14.796000000000001
+    - type: map_at_1000
+      value: 16.451999999999998
+    - type: map_at_20
+      value: 11.361
+    - type: map_at_3
+      value: 5.143
+    - type: map_at_5
+      value: 6.537
+    - type: mrr_at_1
+      value: 36.735
+    - type: mrr_at_10
+      value: 50.99399999999999
+    - type: mrr_at_100
+      value: 51.775000000000006
+    - type: mrr_at_1000
+      value: 51.775000000000006
+    - type: mrr_at_20
+      value: 51.39
+    - type: mrr_at_3
+      value: 47.278999999999996
+    - type: mrr_at_5
+      value: 49.626
+    - type: ndcg_at_1
+      value: 34.694
+    - type: ndcg_at_10
+      value: 24.061
+    - type: ndcg_at_100
+      value: 35.832
+    - type: ndcg_at_1000
+      value: 47.875
+    - type: ndcg_at_20
+      value: 25.022
+    - type: ndcg_at_3
+      value: 27.939999999999998
+    - type: ndcg_at_5
+      value: 25.246000000000002
+    - type: precision_at_1
+      value: 36.735
+    - type: precision_at_10
+      value: 20.204
+    - type: precision_at_100
+      value: 7.224
+    - type: precision_at_1000
+      value: 1.516
+    - type: precision_at_20
+      value: 15.714
+    - type: precision_at_3
+      value: 27.211000000000002
+    - type: precision_at_5
+      value: 23.265
+    - type: recall_at_1
+      value: 2.83
+    - type: recall_at_10
+      value: 14.564
+    - type: recall_at_100
+      value: 45.251000000000005
+    - type: recall_at_1000
+      value: 81.849
+    - type: recall_at_20
+      value: 22.31
+    - type: recall_at_3
+      value: 6.065
+    - type: recall_at_5
+      value: 8.588
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 91.17320000000001
+    - type: ap
+      value: 41.18509354980418
+    - type: f1
+      value: 77.77470860794351
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 77.92869269949067
+    - type: f1
+      value: 78.23271267071486
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 59.59735858830448
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.81069321094355
+    - type: cos_sim_ap
+      value: 79.1522153826438
+    - type: cos_sim_f1
+      value: 72.83363802559415
+    - type: cos_sim_precision
+      value: 67.678369195923
+    - type: cos_sim_recall
+      value: 78.83905013192613
+    - type: dot_accuracy
+      value: 87.369613160875
+    - type: dot_ap
+      value: 78.51617049363121
+    - type: dot_f1
+      value: 71.89735998026153
+    - type: dot_precision
+      value: 67.516218721038
+    - type: dot_recall
+      value: 76.88654353562005
+    - type: euclidean_accuracy
+      value: 87.72724563390356
+    - type: euclidean_ap
+      value: 78.45799796334607
+    - type: euclidean_f1
+      value: 72.7159880834161
+    - type: euclidean_precision
+      value: 68.65916549460853
+    - type: euclidean_recall
+      value: 77.28232189973615
+    - type: manhattan_accuracy
+      value: 87.57823210347499
+    - type: manhattan_ap
+      value: 78.24705251626389
+    - type: manhattan_f1
+      value: 72.34365129500948
+    - type: manhattan_precision
+      value: 69.4060606060606
+    - type: manhattan_recall
+      value: 75.54089709762533
+    - type: max_accuracy
+      value: 87.81069321094355
+    - type: max_ap
+      value: 79.1522153826438
+    - type: max_f1
+      value: 72.83363802559415
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.76597974152986
+    - type: cos_sim_ap
+      value: 87.15717597277224
+    - type: cos_sim_f1
+      value: 79.71815316150567
+    - type: cos_sim_precision
+      value: 76.89776060671103
+    - type: cos_sim_recall
+      value: 82.75331074838313
+    - type: dot_accuracy
+      value: 89.49237396670159
+    - type: dot_ap
+      value: 86.69824401657353
+    - type: dot_f1
+      value: 79.39796433985418
+    - type: dot_precision
+      value: 74.7316211441772
+    - type: dot_recall
+      value: 84.68586387434554
+    - type: euclidean_accuracy
+      value: 89.65149221872937
+    - type: euclidean_ap
+      value: 86.98932847862545
+    - type: euclidean_f1
+      value: 79.65759212314929
+    - type: euclidean_precision
+      value: 76.17876466868105
+    - type: euclidean_recall
+      value: 83.46935632891899
+    - type: manhattan_accuracy
+      value: 89.63402802033609
+    - type: manhattan_ap
+      value: 86.99550128469285
+    - type: manhattan_f1
+      value: 79.61443655494647
+    - type: manhattan_precision
+      value: 76.23476361586697
+    - type: manhattan_recall
+      value: 83.30766861718509
+    - type: max_accuracy
+      value: 89.76597974152986
+    - type: max_ap
+      value: 87.15717597277224
+    - type: max_f1
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+---