Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_512_15epoch__adam0.001_accum1_best_epoch_2611200_bs128_result
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 75.02985074626866
+    - type: ap
+      value: 38.2391132433526
+    - type: f1
+      value: 69.06974168824816
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 74.00564999999999
+    - type: ap
+      value: 68.12255640587608
+    - type: f1
+      value: 73.88644324572483
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 39.46000000000001
+    - type: f1
+      value: 38.77579430134605
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 21.337
+    - type: map_at_10
+      value: 36.104
+    - type: map_at_100
+      value: 37.363
+    - type: map_at_1000
+      value: 37.38
+    - type: map_at_3
+      value: 31.46
+    - type: map_at_5
+      value: 33.861000000000004
+    - type: mrr_at_1
+      value: 22.119
+    - type: mrr_at_10
+      value: 36.379
+    - type: mrr_at_100
+      value: 37.644
+    - type: mrr_at_1000
+      value: 37.662
+    - type: mrr_at_3
+      value: 31.745
+    - type: mrr_at_5
+      value: 34.12
+    - type: ndcg_at_1
+      value: 21.337
+    - type: ndcg_at_10
+      value: 44.557
+    - type: ndcg_at_100
+      value: 50.072
+    - type: ndcg_at_1000
+      value: 50.499
+    - type: ndcg_at_3
+      value: 34.794000000000004
+    - type: ndcg_at_5
+      value: 39.125
+    - type: precision_at_1
+      value: 21.337
+    - type: precision_at_10
+      value: 7.176
+    - type: precision_at_100
+      value: 0.962
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 14.817
+    - type: precision_at_5
+      value: 10.996
+    - type: recall_at_1
+      value: 21.337
+    - type: recall_at_10
+      value: 71.764
+    - type: recall_at_100
+      value: 96.23
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 44.452000000000005
+    - type: recall_at_5
+      value: 54.979
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 38.36878876355172
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 28.19433994044647
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 54.16001797554904
+    - type: mrr
+      value: 67.81130457723256
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.1086837226076
+    - type: cos_sim_spearman
+      value: 80.60966807127197
+    - type: euclidean_pearson
+      value: 80.73535719827952
+    - type: euclidean_spearman
+      value: 80.60966807127197
+    - type: manhattan_pearson
+      value: 79.10544477221981
+    - type: manhattan_spearman
+      value: 79.59759681777079
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.1525974025974
+    - type: f1
+      value: 74.45181803662257
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.568758810321945
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 25.645931603960374
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 21.36
+    - type: map_at_10
+      value: 29.034
+    - type: map_at_100
+      value: 30.197000000000003
+    - type: map_at_1000
+      value: 30.36
+    - type: map_at_3
+      value: 26.334999999999997
+    - type: map_at_5
+      value: 27.894999999999996
+    - type: mrr_at_1
+      value: 27.325
+    - type: mrr_at_10
+      value: 34.975
+    - type: mrr_at_100
+      value: 35.787
+    - type: mrr_at_1000
+      value: 35.864000000000004
+    - type: mrr_at_3
+      value: 32.761
+    - type: mrr_at_5
+      value: 34.083999999999996
+    - type: ndcg_at_1
+      value: 27.325
+    - type: ndcg_at_10
+      value: 34.302
+    - type: ndcg_at_100
+      value: 39.35
+    - type: ndcg_at_1000
+      value: 42.516999999999996
+    - type: ndcg_at_3
+      value: 30.336000000000002
+    - type: ndcg_at_5
+      value: 32.234
+    - type: precision_at_1
+      value: 27.325
+    - type: precision_at_10
+      value: 6.694999999999999
+    - type: precision_at_100
+      value: 1.157
+    - type: precision_at_1000
+      value: 0.17500000000000002
+    - type: precision_at_3
+      value: 14.926
+    - type: precision_at_5
+      value: 11.044
+    - type: recall_at_1
+      value: 21.36
+    - type: recall_at_10
+      value: 43.64
+    - type: recall_at_100
+      value: 66.219
+    - type: recall_at_1000
+      value: 87.675
+    - type: recall_at_3
+      value: 31.34
+    - type: recall_at_5
+      value: 36.896
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 19.008
+    - type: map_at_10
+      value: 25.762
+    - type: map_at_100
+      value: 26.819
+    - type: map_at_1000
+      value: 26.944000000000003
+    - type: map_at_3
+      value: 23.688000000000002
+    - type: map_at_5
+      value: 24.844
+    - type: mrr_at_1
+      value: 24.204
+    - type: mrr_at_10
+      value: 30.325999999999997
+    - type: mrr_at_100
+      value: 31.151
+    - type: mrr_at_1000
+      value: 31.22
+    - type: mrr_at_3
+      value: 28.311999999999998
+    - type: mrr_at_5
+      value: 29.424
+    - type: ndcg_at_1
+      value: 24.204
+    - type: ndcg_at_10
+      value: 30.020999999999997
+    - type: ndcg_at_100
+      value: 34.632000000000005
+    - type: ndcg_at_1000
+      value: 37.462
+    - type: ndcg_at_3
+      value: 26.607999999999997
+    - type: ndcg_at_5
+      value: 28.105999999999998
+    - type: precision_at_1
+      value: 24.204
+    - type: precision_at_10
+      value: 5.624
+    - type: precision_at_100
+      value: 1.012
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 12.887
+    - type: precision_at_5
+      value: 9.159
+    - type: recall_at_1
+      value: 19.008
+    - type: recall_at_10
+      value: 38.156
+    - type: recall_at_100
+      value: 58.158
+    - type: recall_at_1000
+      value: 77.471
+    - type: recall_at_3
+      value: 27.964
+    - type: recall_at_5
+      value: 32.221
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 27.833999999999996
+    - type: map_at_10
+      value: 36.896
+    - type: map_at_100
+      value: 38.002
+    - type: map_at_1000
+      value: 38.088
+    - type: map_at_3
+      value: 34.283
+    - type: map_at_5
+      value: 35.754999999999995
+    - type: mrr_at_1
+      value: 32.351
+    - type: mrr_at_10
+      value: 40.275
+    - type: mrr_at_100
+      value: 41.152
+    - type: mrr_at_1000
+      value: 41.204
+    - type: mrr_at_3
+      value: 37.973
+    - type: mrr_at_5
+      value: 39.242
+    - type: ndcg_at_1
+      value: 32.351
+    - type: ndcg_at_10
+      value: 41.867
+    - type: ndcg_at_100
+      value: 47.073
+    - type: ndcg_at_1000
+      value: 49.125
+    - type: ndcg_at_3
+      value: 37.129
+    - type: ndcg_at_5
+      value: 39.361000000000004
+    - type: precision_at_1
+      value: 32.351
+    - type: precision_at_10
+      value: 6.765000000000001
+    - type: precision_at_100
+      value: 1.0330000000000001
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 16.489
+    - type: precision_at_5
+      value: 11.398
+    - type: recall_at_1
+      value: 27.833999999999996
+    - type: recall_at_10
+      value: 53.668000000000006
+    - type: recall_at_100
+      value: 77.114
+    - type: recall_at_1000
+      value: 92.131
+    - type: recall_at_3
+      value: 40.745
+    - type: recall_at_5
+      value: 46.375
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 12.863
+    - type: map_at_10
+      value: 17.881
+    - type: map_at_100
+      value: 18.742
+    - type: map_at_1000
+      value: 18.86
+    - type: map_at_3
+      value: 16.485
+    - type: map_at_5
+      value: 17.262
+    - type: mrr_at_1
+      value: 13.898
+    - type: mrr_at_10
+      value: 19.152
+    - type: mrr_at_100
+      value: 20.007
+    - type: mrr_at_1000
+      value: 20.116
+    - type: mrr_at_3
+      value: 17.759
+    - type: mrr_at_5
+      value: 18.544
+    - type: ndcg_at_1
+      value: 13.898
+    - type: ndcg_at_10
+      value: 20.818
+    - type: ndcg_at_100
+      value: 25.342
+    - type: ndcg_at_1000
+      value: 28.895
+    - type: ndcg_at_3
+      value: 18.034
+    - type: ndcg_at_5
+      value: 19.367
+    - type: precision_at_1
+      value: 13.898
+    - type: precision_at_10
+      value: 3.254
+    - type: precision_at_100
+      value: 0.582
+    - type: precision_at_1000
+      value: 0.094
+    - type: precision_at_3
+      value: 7.8340000000000005
+    - type: precision_at_5
+      value: 5.446
+    - type: recall_at_1
+      value: 12.863
+    - type: recall_at_10
+      value: 28.636
+    - type: recall_at_100
+      value: 50.112
+    - type: recall_at_1000
+      value: 77.828
+    - type: recall_at_3
+      value: 21.087
+    - type: recall_at_5
+      value: 24.307000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 7.8020000000000005
+    - type: map_at_10
+      value: 11.673
+    - type: map_at_100
+      value: 12.462
+    - type: map_at_1000
+      value: 12.589
+    - type: map_at_3
+      value: 10.035
+    - type: map_at_5
+      value: 10.699
+    - type: mrr_at_1
+      value: 9.826
+    - type: mrr_at_10
+      value: 14.248
+    - type: mrr_at_100
+      value: 15.057
+    - type: mrr_at_1000
+      value: 15.156
+    - type: mrr_at_3
+      value: 12.5
+    - type: mrr_at_5
+      value: 13.221
+    - type: ndcg_at_1
+      value: 9.826
+    - type: ndcg_at_10
+      value: 14.818999999999999
+    - type: ndcg_at_100
+      value: 19.309
+    - type: ndcg_at_1000
+      value: 22.954
+    - type: ndcg_at_3
+      value: 11.535
+    - type: ndcg_at_5
+      value: 12.577
+    - type: precision_at_1
+      value: 9.826
+    - type: precision_at_10
+      value: 2.923
+    - type: precision_at_100
+      value: 0.618
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 5.5969999999999995
+    - type: precision_at_5
+      value: 4.08
+    - type: recall_at_1
+      value: 7.8020000000000005
+    - type: recall_at_10
+      value: 22.141
+    - type: recall_at_100
+      value: 42.653999999999996
+    - type: recall_at_1000
+      value: 70.02199999999999
+    - type: recall_at_3
+      value: 13.020000000000001
+    - type: recall_at_5
+      value: 15.645999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 18.532
+    - type: map_at_10
+      value: 24.692
+    - type: map_at_100
+      value: 26.023000000000003
+    - type: map_at_1000
+      value: 26.165
+    - type: map_at_3
+      value: 22.522000000000002
+    - type: map_at_5
+      value: 23.694000000000003
+    - type: mrr_at_1
+      value: 22.618
+    - type: mrr_at_10
+      value: 29.334
+    - type: mrr_at_100
+      value: 30.348999999999997
+    - type: mrr_at_1000
+      value: 30.435000000000002
+    - type: mrr_at_3
+      value: 26.997
+    - type: mrr_at_5
+      value: 28.282
+    - type: ndcg_at_1
+      value: 22.618
+    - type: ndcg_at_10
+      value: 29.188
+    - type: ndcg_at_100
+      value: 35.213
+    - type: ndcg_at_1000
+      value: 38.471
+    - type: ndcg_at_3
+      value: 25.313999999999997
+    - type: ndcg_at_5
+      value: 27.057
+    - type: precision_at_1
+      value: 22.618
+    - type: precision_at_10
+      value: 5.38
+    - type: precision_at_100
+      value: 1.0
+    - type: precision_at_1000
+      value: 0.149
+    - type: precision_at_3
+      value: 11.741999999999999
+    - type: precision_at_5
+      value: 8.662
+    - type: recall_at_1
+      value: 18.532
+    - type: recall_at_10
+      value: 38.164
+    - type: recall_at_100
+      value: 64.197
+    - type: recall_at_1000
+      value: 86.75399999999999
+    - type: recall_at_3
+      value: 27.262999999999998
+    - type: recall_at_5
+      value: 31.651
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 15.257000000000001
+    - type: map_at_10
+      value: 20.762
+    - type: map_at_100
+      value: 21.956999999999997
+    - type: map_at_1000
+      value: 22.102
+    - type: map_at_3
+      value: 18.826999999999998
+    - type: map_at_5
+      value: 19.911
+    - type: mrr_at_1
+      value: 18.836
+    - type: mrr_at_10
+      value: 24.484
+    - type: mrr_at_100
+      value: 25.561
+    - type: mrr_at_1000
+      value: 25.651000000000003
+    - type: mrr_at_3
+      value: 22.546
+    - type: mrr_at_5
+      value: 23.613
+    - type: ndcg_at_1
+      value: 18.836
+    - type: ndcg_at_10
+      value: 24.465999999999998
+    - type: ndcg_at_100
+      value: 30.337999999999997
+    - type: ndcg_at_1000
+      value: 33.775
+    - type: ndcg_at_3
+      value: 21.029
+    - type: ndcg_at_5
+      value: 22.576
+    - type: precision_at_1
+      value: 18.836
+    - type: precision_at_10
+      value: 4.5089999999999995
+    - type: precision_at_100
+      value: 0.895
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 9.893
+    - type: precision_at_5
+      value: 7.146
+    - type: recall_at_1
+      value: 15.257000000000001
+    - type: recall_at_10
+      value: 32.062000000000005
+    - type: recall_at_100
+      value: 57.577
+    - type: recall_at_1000
+      value: 81.75
+    - type: recall_at_3
+      value: 22.579
+    - type: recall_at_5
+      value: 26.613999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 15.333916666666667
+    - type: map_at_10
+      value: 20.908583333333333
+    - type: map_at_100
+      value: 21.891333333333332
+    - type: map_at_1000
+      value: 22.02225
+    - type: map_at_3
+      value: 19.053833333333333
+    - type: map_at_5
+      value: 20.053916666666666
+    - type: mrr_at_1
+      value: 18.5485
+    - type: mrr_at_10
+      value: 24.15733333333333
+    - type: mrr_at_100
+      value: 25.01325
+    - type: mrr_at_1000
+      value: 25.101000000000003
+    - type: mrr_at_3
+      value: 22.34708333333333
+    - type: mrr_at_5
+      value: 23.317833333333336
+    - type: ndcg_at_1
+      value: 18.5485
+    - type: ndcg_at_10
+      value: 24.614
+    - type: ndcg_at_100
+      value: 29.431166666666662
+    - type: ndcg_at_1000
+      value: 32.6675
+    - type: ndcg_at_3
+      value: 21.285083333333336
+    - type: ndcg_at_5
+      value: 22.751416666666664
+    - type: precision_at_1
+      value: 18.5485
+    - type: precision_at_10
+      value: 4.4013333333333335
+    - type: precision_at_100
+      value: 0.8160000000000001
+    - type: precision_at_1000
+      value: 0.12825
+    - type: precision_at_3
+      value: 9.847916666666666
+    - type: precision_at_5
+      value: 7.069166666666668
+    - type: recall_at_1
+      value: 15.333916666666667
+    - type: recall_at_10
+      value: 32.5695
+    - type: recall_at_100
+      value: 54.50375
+    - type: recall_at_1000
+      value: 78.02300000000001
+    - type: recall_at_3
+      value: 23.115000000000002
+    - type: recall_at_5
+      value: 26.968416666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 11.745
+    - type: map_at_10
+      value: 16.406000000000002
+    - type: map_at_100
+      value: 17.157
+    - type: map_at_1000
+      value: 17.249
+    - type: map_at_3
+      value: 14.835999999999999
+    - type: map_at_5
+      value: 15.803
+    - type: mrr_at_1
+      value: 13.804
+    - type: mrr_at_10
+      value: 18.55
+    - type: mrr_at_100
+      value: 19.306
+    - type: mrr_at_1000
+      value: 19.38
+    - type: mrr_at_3
+      value: 17.05
+    - type: mrr_at_5
+      value: 17.947
+    - type: ndcg_at_1
+      value: 13.804
+    - type: ndcg_at_10
+      value: 19.339000000000002
+    - type: ndcg_at_100
+      value: 23.624000000000002
+    - type: ndcg_at_1000
+      value: 26.301999999999996
+    - type: ndcg_at_3
+      value: 16.454
+    - type: ndcg_at_5
+      value: 17.999000000000002
+    - type: precision_at_1
+      value: 13.804
+    - type: precision_at_10
+      value: 3.282
+    - type: precision_at_100
+      value: 0.598
+    - type: precision_at_1000
+      value: 0.091
+    - type: precision_at_3
+      value: 7.413
+    - type: precision_at_5
+      value: 5.428999999999999
+    - type: recall_at_1
+      value: 11.745
+    - type: recall_at_10
+      value: 26.255
+    - type: recall_at_100
+      value: 46.888000000000005
+    - type: recall_at_1000
+      value: 67.131
+    - type: recall_at_3
+      value: 18.434
+    - type: recall_at_5
+      value: 22.328
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 8.119
+    - type: map_at_10
+      value: 11.944
+    - type: map_at_100
+      value: 12.647
+    - type: map_at_1000
+      value: 12.770000000000001
+    - type: map_at_3
+      value: 10.612
+    - type: map_at_5
+      value: 11.292
+    - type: mrr_at_1
+      value: 10.22
+    - type: mrr_at_10
+      value: 14.496
+    - type: mrr_at_100
+      value: 15.18
+    - type: mrr_at_1000
+      value: 15.279000000000002
+    - type: mrr_at_3
+      value: 12.979
+    - type: mrr_at_5
+      value: 13.755
+    - type: ndcg_at_1
+      value: 10.22
+    - type: ndcg_at_10
+      value: 14.687
+    - type: ndcg_at_100
+      value: 18.543000000000003
+    - type: ndcg_at_1000
+      value: 22.099
+    - type: ndcg_at_3
+      value: 12.076
+    - type: ndcg_at_5
+      value: 13.161999999999999
+    - type: precision_at_1
+      value: 10.22
+    - type: precision_at_10
+      value: 2.822
+    - type: precision_at_100
+      value: 0.565
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 5.781
+    - type: precision_at_5
+      value: 4.301
+    - type: recall_at_1
+      value: 8.119
+    - type: recall_at_10
+      value: 20.527
+    - type: recall_at_100
+      value: 38.719
+    - type: recall_at_1000
+      value: 65.16300000000001
+    - type: recall_at_3
+      value: 13.275
+    - type: recall_at_5
+      value: 15.998999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 13.334999999999999
+    - type: map_at_10
+      value: 18.194
+    - type: map_at_100
+      value: 19.049
+    - type: map_at_1000
+      value: 19.17
+    - type: map_at_3
+      value: 16.625
+    - type: map_at_5
+      value: 17.509
+    - type: mrr_at_1
+      value: 16.231
+    - type: mrr_at_10
+      value: 21.308
+    - type: mrr_at_100
+      value: 22.154
+    - type: mrr_at_1000
+      value: 22.25
+    - type: mrr_at_3
+      value: 19.761
+    - type: mrr_at_5
+      value: 20.567
+    - type: ndcg_at_1
+      value: 16.231
+    - type: ndcg_at_10
+      value: 21.525
+    - type: ndcg_at_100
+      value: 26.008
+    - type: ndcg_at_1000
+      value: 29.351
+    - type: ndcg_at_3
+      value: 18.54
+    - type: ndcg_at_5
+      value: 19.916
+    - type: precision_at_1
+      value: 16.231
+    - type: precision_at_10
+      value: 3.6470000000000002
+    - type: precision_at_100
+      value: 0.655
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 8.488999999999999
+    - type: precision_at_5
+      value: 6.007
+    - type: recall_at_1
+      value: 13.334999999999999
+    - type: recall_at_10
+      value: 28.804999999999996
+    - type: recall_at_100
+      value: 49.303000000000004
+    - type: recall_at_1000
+      value: 73.95
+    - type: recall_at_3
+      value: 20.531
+    - type: recall_at_5
+      value: 24.067
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 16.002
+    - type: map_at_10
+      value: 21.282
+    - type: map_at_100
+      value: 22.518
+    - type: map_at_1000
+      value: 22.728
+    - type: map_at_3
+      value: 19.463
+    - type: map_at_5
+      value: 20.314
+    - type: mrr_at_1
+      value: 19.96
+    - type: mrr_at_10
+      value: 25.084
+    - type: mrr_at_100
+      value: 26.028000000000002
+    - type: mrr_at_1000
+      value: 26.119999999999997
+    - type: mrr_at_3
+      value: 23.352999999999998
+    - type: mrr_at_5
+      value: 24.203
+    - type: ndcg_at_1
+      value: 19.96
+    - type: ndcg_at_10
+      value: 25.275
+    - type: ndcg_at_100
+      value: 30.574
+    - type: ndcg_at_1000
+      value: 34.359
+    - type: ndcg_at_3
+      value: 22.281000000000002
+    - type: ndcg_at_5
+      value: 23.32
+    - type: precision_at_1
+      value: 19.96
+    - type: precision_at_10
+      value: 4.920999999999999
+    - type: precision_at_100
+      value: 1.1320000000000001
+    - type: precision_at_1000
+      value: 0.20400000000000001
+    - type: precision_at_3
+      value: 10.408000000000001
+    - type: precision_at_5
+      value: 7.352
+    - type: recall_at_1
+      value: 16.002
+    - type: recall_at_10
+      value: 32.452
+    - type: recall_at_100
+      value: 57.297
+    - type: recall_at_1000
+      value: 83.332
+    - type: recall_at_3
+      value: 23.101
+    - type: recall_at_5
+      value: 26.395999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 12.15
+    - type: map_at_10
+      value: 16.377
+    - type: map_at_100
+      value: 17.122999999999998
+    - type: map_at_1000
+      value: 17.241999999999997
+    - type: map_at_3
+      value: 14.935
+    - type: map_at_5
+      value: 15.669
+    - type: mrr_at_1
+      value: 13.309000000000001
+    - type: mrr_at_10
+      value: 17.656
+    - type: mrr_at_100
+      value: 18.427
+    - type: mrr_at_1000
+      value: 18.537
+    - type: mrr_at_3
+      value: 16.174
+    - type: mrr_at_5
+      value: 16.932
+    - type: ndcg_at_1
+      value: 13.309000000000001
+    - type: ndcg_at_10
+      value: 19.061
+    - type: ndcg_at_100
+      value: 23.168
+    - type: ndcg_at_1000
+      value: 26.700000000000003
+    - type: ndcg_at_3
+      value: 16.085
+    - type: ndcg_at_5
+      value: 17.342
+    - type: precision_at_1
+      value: 13.309000000000001
+    - type: precision_at_10
+      value: 2.994
+    - type: precision_at_100
+      value: 0.545
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 6.715999999999999
+    - type: precision_at_5
+      value: 4.806
+    - type: recall_at_1
+      value: 12.15
+    - type: recall_at_10
+      value: 26.328000000000003
+    - type: recall_at_100
+      value: 45.806999999999995
+    - type: recall_at_1000
+      value: 73.06899999999999
+    - type: recall_at_3
+      value: 18.041
+    - type: recall_at_5
+      value: 21.121000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 7.675999999999999
+    - type: map_at_10
+      value: 13.600000000000001
+    - type: map_at_100
+      value: 15.287999999999998
+    - type: map_at_1000
+      value: 15.508
+    - type: map_at_3
+      value: 11.256
+    - type: map_at_5
+      value: 12.312
+    - type: mrr_at_1
+      value: 17.459
+    - type: mrr_at_10
+      value: 27.166
+    - type: mrr_at_100
+      value: 28.406
+    - type: mrr_at_1000
+      value: 28.464
+    - type: mrr_at_3
+      value: 23.931
+    - type: mrr_at_5
+      value: 25.66
+    - type: ndcg_at_1
+      value: 17.459
+    - type: ndcg_at_10
+      value: 20.146
+    - type: ndcg_at_100
+      value: 27.625
+    - type: ndcg_at_1000
+      value: 31.819999999999997
+    - type: ndcg_at_3
+      value: 15.870999999999999
+    - type: ndcg_at_5
+      value: 17.158
+    - type: precision_at_1
+      value: 17.459
+    - type: precision_at_10
+      value: 6.638
+    - type: precision_at_100
+      value: 1.4569999999999999
+    - type: precision_at_1000
+      value: 0.22300000000000003
+    - type: precision_at_3
+      value: 12.074
+    - type: precision_at_5
+      value: 9.407
+    - type: recall_at_1
+      value: 7.675999999999999
+    - type: recall_at_10
+      value: 25.267
+    - type: recall_at_100
+      value: 51.69200000000001
+    - type: recall_at_1000
+      value: 75.58
+    - type: recall_at_3
+      value: 14.901
+    - type: recall_at_5
+      value: 18.543000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 4.424
+    - type: map_at_10
+      value: 10.278
+    - type: map_at_100
+      value: 14.516000000000002
+    - type: map_at_1000
+      value: 15.584999999999999
+    - type: map_at_3
+      value: 7.179
+    - type: map_at_5
+      value: 8.556
+    - type: mrr_at_1
+      value: 42.0
+    - type: mrr_at_10
+      value: 52.653000000000006
+    - type: mrr_at_100
+      value: 53.33599999999999
+    - type: mrr_at_1000
+      value: 53.364999999999995
+    - type: mrr_at_3
+      value: 50.542
+    - type: mrr_at_5
+      value: 51.803999999999995
+    - type: ndcg_at_1
+      value: 31.624999999999996
+    - type: ndcg_at_10
+      value: 25.167
+    - type: ndcg_at_100
+      value: 28.766000000000002
+    - type: ndcg_at_1000
+      value: 35.959
+    - type: ndcg_at_3
+      value: 27.807
+    - type: ndcg_at_5
+      value: 26.569
+    - type: precision_at_1
+      value: 42.0
+    - type: precision_at_10
+      value: 22.5
+    - type: precision_at_100
+      value: 7.295
+    - type: precision_at_1000
+      value: 1.543
+    - type: precision_at_3
+      value: 33.5
+    - type: precision_at_5
+      value: 29.099999999999998
+    - type: recall_at_1
+      value: 4.424
+    - type: recall_at_10
+      value: 15.359
+    - type: recall_at_100
+      value: 35.99
+    - type: recall_at_1000
+      value: 60.707
+    - type: recall_at_3
+      value: 8.803999999999998
+    - type: recall_at_5
+      value: 11.349
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 48.99
+    - type: f1
+      value: 44.72383731785718
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 17.753
+    - type: map_at_10
+      value: 26.762999999999998
+    - type: map_at_100
+      value: 27.773999999999997
+    - type: map_at_1000
+      value: 27.845
+    - type: map_at_3
+      value: 24.096
+    - type: map_at_5
+      value: 25.6
+    - type: mrr_at_1
+      value: 19.022
+    - type: mrr_at_10
+      value: 28.46
+    - type: mrr_at_100
+      value: 29.462
+    - type: mrr_at_1000
+      value: 29.520999999999997
+    - type: mrr_at_3
+      value: 25.679999999999996
+    - type: mrr_at_5
+      value: 27.272999999999996
+    - type: ndcg_at_1
+      value: 19.022
+    - type: ndcg_at_10
+      value: 32.063
+    - type: ndcg_at_100
+      value: 37.169999999999995
+    - type: ndcg_at_1000
+      value: 39.048
+    - type: ndcg_at_3
+      value: 26.558999999999997
+    - type: ndcg_at_5
+      value: 29.266
+    - type: precision_at_1
+      value: 19.022
+    - type: precision_at_10
+      value: 5.119
+    - type: precision_at_100
+      value: 0.786
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 11.571
+    - type: precision_at_5
+      value: 8.368
+    - type: recall_at_1
+      value: 17.753
+    - type: recall_at_10
+      value: 47.061
+    - type: recall_at_100
+      value: 70.75200000000001
+    - type: recall_at_1000
+      value: 85.134
+    - type: recall_at_3
+      value: 32.049
+    - type: recall_at_5
+      value: 38.556000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 6.845
+    - type: map_at_10
+      value: 11.806999999999999
+    - type: map_at_100
+      value: 13.104
+    - type: map_at_1000
+      value: 13.317
+    - type: map_at_3
+      value: 9.746
+    - type: map_at_5
+      value: 10.806000000000001
+    - type: mrr_at_1
+      value: 13.889000000000001
+    - type: mrr_at_10
+      value: 20.456
+    - type: mrr_at_100
+      value: 21.572
+    - type: mrr_at_1000
+      value: 21.666
+    - type: mrr_at_3
+      value: 18.184
+    - type: mrr_at_5
+      value: 19.387999999999998
+    - type: ndcg_at_1
+      value: 13.889000000000001
+    - type: ndcg_at_10
+      value: 16.552
+    - type: ndcg_at_100
+      value: 22.817999999999998
+    - type: ndcg_at_1000
+      value: 27.401999999999997
+    - type: ndcg_at_3
+      value: 13.527000000000001
+    - type: ndcg_at_5
+      value: 14.6
+    - type: precision_at_1
+      value: 13.889000000000001
+    - type: precision_at_10
+      value: 4.984999999999999
+    - type: precision_at_100
+      value: 1.097
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_3
+      value: 9.208
+    - type: precision_at_5
+      value: 7.13
+    - type: recall_at_1
+      value: 6.845
+    - type: recall_at_10
+      value: 22.012999999999998
+    - type: recall_at_100
+      value: 46.75
+    - type: recall_at_1000
+      value: 74.945
+    - type: recall_at_3
+      value: 12.352
+    - type: recall_at_5
+      value: 16.217000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 18.886
+    - type: map_at_10
+      value: 26.729999999999997
+    - type: map_at_100
+      value: 27.732
+    - type: map_at_1000
+      value: 27.85
+    - type: map_at_3
+      value: 24.57
+    - type: map_at_5
+      value: 25.774
+    - type: mrr_at_1
+      value: 37.772
+    - type: mrr_at_10
+      value: 45.239000000000004
+    - type: mrr_at_100
+      value: 45.972
+    - type: mrr_at_1000
+      value: 46.027
+    - type: mrr_at_3
+      value: 43.279
+    - type: mrr_at_5
+      value: 44.397
+    - type: ndcg_at_1
+      value: 37.772
+    - type: ndcg_at_10
+      value: 33.973
+    - type: ndcg_at_100
+      value: 38.456
+    - type: ndcg_at_1000
+      value: 41.178
+    - type: ndcg_at_3
+      value: 29.988999999999997
+    - type: ndcg_at_5
+      value: 31.935999999999996
+    - type: precision_at_1
+      value: 37.772
+    - type: precision_at_10
+      value: 7.465
+    - type: precision_at_100
+      value: 1.1039999999999999
+    - type: precision_at_1000
+      value: 0.147
+    - type: precision_at_3
+      value: 18.902
+    - type: precision_at_5
+      value: 12.883
+    - type: recall_at_1
+      value: 18.886
+    - type: recall_at_10
+      value: 37.326
+    - type: recall_at_100
+      value: 55.186
+    - type: recall_at_1000
+      value: 73.309
+    - type: recall_at_3
+      value: 28.352
+    - type: recall_at_5
+      value: 32.208
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 70.6808
+    - type: ap
+      value: 64.78268083902698
+    - type: f1
+      value: 70.48410216634053
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 6.300999999999999
+    - type: map_at_10
+      value: 11.068999999999999
+    - type: map_at_100
+      value: 12.0
+    - type: map_at_1000
+      value: 12.113999999999999
+    - type: map_at_3
+      value: 9.381
+    - type: map_at_5
+      value: 10.265
+    - type: mrr_at_1
+      value: 6.476
+    - type: mrr_at_10
+      value: 11.357000000000001
+    - type: mrr_at_100
+      value: 12.293
+    - type: mrr_at_1000
+      value: 12.403
+    - type: mrr_at_3
+      value: 9.62
+    - type: mrr_at_5
+      value: 10.544
+    - type: ndcg_at_1
+      value: 6.461
+    - type: ndcg_at_10
+      value: 14.058000000000002
+    - type: ndcg_at_100
+      value: 19.156000000000002
+    - type: ndcg_at_1000
+      value: 22.570999999999998
+    - type: ndcg_at_3
+      value: 10.475
+    - type: ndcg_at_5
+      value: 12.092
+    - type: precision_at_1
+      value: 6.461
+    - type: precision_at_10
+      value: 2.431
+    - type: precision_at_100
+      value: 0.508
+    - type: precision_at_1000
+      value: 0.08
+    - type: precision_at_3
+      value: 4.6080000000000005
+    - type: precision_at_5
+      value: 3.5900000000000003
+    - type: recall_at_1
+      value: 6.300999999999999
+    - type: recall_at_10
+      value: 23.378
+    - type: recall_at_100
+      value: 48.258
+    - type: recall_at_1000
+      value: 75.652
+    - type: recall_at_3
+      value: 13.422
+    - type: recall_at_5
+      value: 17.316000000000003
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 91.34290925672595
+    - type: f1
+      value: 90.45651851550997
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 63.57045143638851
+    - type: f1
+      value: 44.02606500037181
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 65.63214525891057
+    - type: f1
+      value: 63.33629303043603
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 72.65635507733691
+    - type: f1
+      value: 71.52506282204605
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.593804768886113
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.41249151566158
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.0983658178549
+    - type: mrr
+      value: 32.18857446274346
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 4.79
+    - type: map_at_10
+      value: 9.095
+    - type: map_at_100
+      value: 11.738999999999999
+    - type: map_at_1000
+      value: 13.203000000000001
+    - type: map_at_3
+      value: 6.68
+    - type: map_at_5
+      value: 7.924
+    - type: mrr_at_1
+      value: 37.461
+    - type: mrr_at_10
+      value: 46.283
+    - type: mrr_at_100
+      value: 46.983999999999995
+    - type: mrr_at_1000
+      value: 47.046
+    - type: mrr_at_3
+      value: 43.55
+    - type: mrr_at_5
+      value: 45.268
+    - type: ndcg_at_1
+      value: 35.604
+    - type: ndcg_at_10
+      value: 27.249000000000002
+    - type: ndcg_at_100
+      value: 26.215
+    - type: ndcg_at_1000
+      value: 35.867
+    - type: ndcg_at_3
+      value: 30.330000000000002
+    - type: ndcg_at_5
+      value: 29.574
+    - type: precision_at_1
+      value: 37.152
+    - type: precision_at_10
+      value: 20.031
+    - type: precision_at_100
+      value: 7.217
+    - type: precision_at_1000
+      value: 2.072
+    - type: precision_at_3
+      value: 27.761000000000003
+    - type: precision_at_5
+      value: 25.448999999999998
+    - type: recall_at_1
+      value: 4.79
+    - type: recall_at_10
+      value: 13.197000000000001
+    - type: recall_at_100
+      value: 28.816999999999997
+    - type: recall_at_1000
+      value: 63.010999999999996
+    - type: recall_at_3
+      value: 7.53
+    - type: recall_at_5
+      value: 10.234
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 9.345
+    - type: map_at_10
+      value: 16.655
+    - type: map_at_100
+      value: 17.991
+    - type: map_at_1000
+      value: 18.093999999999998
+    - type: map_at_3
+      value: 13.825000000000001
+    - type: map_at_5
+      value: 15.445
+    - type: mrr_at_1
+      value: 10.834000000000001
+    - type: mrr_at_10
+      value: 18.533
+    - type: mrr_at_100
+      value: 19.750999999999998
+    - type: mrr_at_1000
+      value: 19.837
+    - type: mrr_at_3
+      value: 15.623999999999999
+    - type: mrr_at_5
+      value: 17.307
+    - type: ndcg_at_1
+      value: 10.834000000000001
+    - type: ndcg_at_10
+      value: 21.503
+    - type: ndcg_at_100
+      value: 28.141
+    - type: ndcg_at_1000
+      value: 30.951
+    - type: ndcg_at_3
+      value: 15.7
+    - type: ndcg_at_5
+      value: 18.608
+    - type: precision_at_1
+      value: 10.834000000000001
+    - type: precision_at_10
+      value: 4.09
+    - type: precision_at_100
+      value: 0.782
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 7.474
+    - type: precision_at_5
+      value: 6.089
+    - type: recall_at_1
+      value: 9.345
+    - type: recall_at_10
+      value: 34.760000000000005
+    - type: recall_at_100
+      value: 65.455
+    - type: recall_at_1000
+      value: 87.008
+    - type: recall_at_3
+      value: 19.397000000000002
+    - type: recall_at_5
+      value: 26.205000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 63.864
+    - type: map_at_10
+      value: 76.823
+    - type: map_at_100
+      value: 77.58699999999999
+    - type: map_at_1000
+      value: 77.619
+    - type: map_at_3
+      value: 73.834
+    - type: map_at_5
+      value: 75.703
+    - type: mrr_at_1
+      value: 73.55000000000001
+    - type: mrr_at_10
+      value: 81.077
+    - type: mrr_at_100
+      value: 81.296
+    - type: mrr_at_1000
+      value: 81.3
+    - type: mrr_at_3
+      value: 79.647
+    - type: mrr_at_5
+      value: 80.601
+    - type: ndcg_at_1
+      value: 73.63
+    - type: ndcg_at_10
+      value: 81.526
+    - type: ndcg_at_100
+      value: 83.544
+    - type: ndcg_at_1000
+      value: 83.86200000000001
+    - type: ndcg_at_3
+      value: 77.96300000000001
+    - type: ndcg_at_5
+      value: 79.888
+    - type: precision_at_1
+      value: 73.63
+    - type: precision_at_10
+      value: 12.325
+    - type: precision_at_100
+      value: 1.468
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 33.857
+    - type: precision_at_5
+      value: 22.428
+    - type: recall_at_1
+      value: 63.864
+    - type: recall_at_10
+      value: 90.537
+    - type: recall_at_100
+      value: 97.985
+    - type: recall_at_1000
+      value: 99.679
+    - type: recall_at_3
+      value: 80.351
+    - type: recall_at_5
+      value: 85.697
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 44.25321653229755
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 49.93875732877625
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.8979999999999997
+    - type: map_at_10
+      value: 7.376
+    - type: map_at_100
+      value: 8.902000000000001
+    - type: map_at_1000
+      value: 9.174
+    - type: map_at_3
+      value: 5.47
+    - type: map_at_5
+      value: 6.432
+    - type: mrr_at_1
+      value: 14.2
+    - type: mrr_at_10
+      value: 22.966
+    - type: mrr_at_100
+      value: 24.117
+    - type: mrr_at_1000
+      value: 24.209
+    - type: mrr_at_3
+      value: 20.033
+    - type: mrr_at_5
+      value: 21.532999999999998
+    - type: ndcg_at_1
+      value: 14.2
+    - type: ndcg_at_10
+      value: 13.016
+    - type: ndcg_at_100
+      value: 19.804
+    - type: ndcg_at_1000
+      value: 25.251
+    - type: ndcg_at_3
+      value: 12.395
+    - type: ndcg_at_5
+      value: 10.793999999999999
+    - type: precision_at_1
+      value: 14.2
+    - type: precision_at_10
+      value: 6.800000000000001
+    - type: precision_at_100
+      value: 1.6709999999999998
+    - type: precision_at_1000
+      value: 0.298
+    - type: precision_at_3
+      value: 11.767
+    - type: precision_at_5
+      value: 9.56
+    - type: recall_at_1
+      value: 2.8979999999999997
+    - type: recall_at_10
+      value: 13.753000000000002
+    - type: recall_at_100
+      value: 33.92
+    - type: recall_at_1000
+      value: 60.592
+    - type: recall_at_3
+      value: 7.163
+    - type: recall_at_5
+      value: 9.678
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.86234724246499
+    - type: cos_sim_spearman
+      value: 67.59298171796401
+    - type: euclidean_pearson
+      value: 72.34370409015565
+    - type: euclidean_spearman
+      value: 67.59294254877997
+    - type: manhattan_pearson
+      value: 70.76123243638206
+    - type: manhattan_spearman
+      value: 66.86233305574997
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.2193174164991
+    - type: cos_sim_spearman
+      value: 66.95885463258551
+    - type: euclidean_pearson
+      value: 70.69637254317986
+    - type: euclidean_spearman
+      value: 66.95991031425478
+    - type: manhattan_pearson
+      value: 67.25988575290648
+    - type: manhattan_spearman
+      value: 64.94406492662402
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.42103332836258
+    - type: cos_sim_spearman
+      value: 78.48875534932043
+    - type: euclidean_pearson
+      value: 78.1930584097837
+    - type: euclidean_spearman
+      value: 78.48879315793262
+    - type: manhattan_pearson
+      value: 75.7705791679418
+    - type: manhattan_spearman
+      value: 76.01194506942352
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.58218995046416
+    - type: cos_sim_spearman
+      value: 75.61279190671051
+    - type: euclidean_pearson
+      value: 77.58820759180631
+    - type: euclidean_spearman
+      value: 75.61278221440635
+    - type: manhattan_pearson
+      value: 76.12440001778819
+    - type: manhattan_spearman
+      value: 74.4269498969252
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.2891641302121
+    - type: cos_sim_spearman
+      value: 82.73098262647434
+    - type: euclidean_pearson
+      value: 82.5188483930312
+    - type: euclidean_spearman
+      value: 82.73097334698637
+    - type: manhattan_pearson
+      value: 81.05168739270556
+    - type: manhattan_spearman
+      value: 81.10750061837136
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.4670953467407
+    - type: cos_sim_spearman
+      value: 78.53536279187583
+    - type: euclidean_pearson
+      value: 77.6227824619736
+    - type: euclidean_spearman
+      value: 78.53591292409315
+    - type: manhattan_pearson
+      value: 76.24243879772493
+    - type: manhattan_spearman
+      value: 77.00775260881191
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.19161153621691
+    - type: cos_sim_spearman
+      value: 86.86584556712556
+    - type: euclidean_pearson
+      value: 86.08114835853017
+    - type: euclidean_spearman
+      value: 86.86671808346402
+    - type: manhattan_pearson
+      value: 85.71042782796158
+    - type: manhattan_spearman
+      value: 86.76481453820853
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 59.80818689506919
+    - type: cos_sim_spearman
+      value: 59.903534431363916
+    - type: euclidean_pearson
+      value: 60.967975393911466
+    - type: euclidean_spearman
+      value: 59.903534431363916
+    - type: manhattan_pearson
+      value: 59.348745545947104
+    - type: manhattan_spearman
+      value: 58.506942610232116
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.61911955925173
+    - type: cos_sim_spearman
+      value: 79.18748066540941
+    - type: euclidean_pearson
+      value: 80.06976231938555
+    - type: euclidean_spearman
+      value: 79.18749912961366
+    - type: manhattan_pearson
+      value: 78.3922696264025
+    - type: manhattan_spearman
+      value: 77.68224365306664
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.36063395414824
+    - type: mrr
+      value: 91.81411453470277
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 39.139
+    - type: map_at_10
+      value: 47.508
+    - type: map_at_100
+      value: 48.631
+    - type: map_at_1000
+      value: 48.691
+    - type: map_at_3
+      value: 44.926
+    - type: map_at_5
+      value: 46.093
+    - type: mrr_at_1
+      value: 41.333
+    - type: mrr_at_10
+      value: 49.289
+    - type: mrr_at_100
+      value: 50.209
+    - type: mrr_at_1000
+      value: 50.261
+    - type: mrr_at_3
+      value: 46.944
+    - type: mrr_at_5
+      value: 47.978
+    - type: ndcg_at_1
+      value: 41.333
+    - type: ndcg_at_10
+      value: 52.306
+    - type: ndcg_at_100
+      value: 57.403999999999996
+    - type: ndcg_at_1000
+      value: 58.733999999999995
+    - type: ndcg_at_3
+      value: 47.113
+    - type: ndcg_at_5
+      value: 48.966
+    - type: precision_at_1
+      value: 41.333
+    - type: precision_at_10
+      value: 7.167
+    - type: precision_at_100
+      value: 0.997
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 18.333
+    - type: precision_at_5
+      value: 12.0
+    - type: recall_at_1
+      value: 39.139
+    - type: recall_at_10
+      value: 65.84400000000001
+    - type: recall_at_100
+      value: 88.94999999999999
+    - type: recall_at_1000
+      value: 98.867
+    - type: recall_at_3
+      value: 51.222
+    - type: recall_at_5
+      value: 55.72200000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.66831683168317
+    - type: cos_sim_ap
+      value: 89.56758407722171
+    - type: cos_sim_f1
+      value: 82.97029702970298
+    - type: cos_sim_precision
+      value: 82.15686274509804
+    - type: cos_sim_recall
+      value: 83.8
+    - type: dot_accuracy
+      value: 99.66831683168317
+    - type: dot_ap
+      value: 89.56758407722171
+    - type: dot_f1
+      value: 82.97029702970298
+    - type: dot_precision
+      value: 82.15686274509804
+    - type: dot_recall
+      value: 83.8
+    - type: euclidean_accuracy
+      value: 99.66831683168317
+    - type: euclidean_ap
+      value: 89.56758407722171
+    - type: euclidean_f1
+      value: 82.97029702970298
+    - type: euclidean_precision
+      value: 82.15686274509804
+    - type: euclidean_recall
+      value: 83.8
+    - type: manhattan_accuracy
+      value: 99.65445544554456
+    - type: manhattan_ap
+      value: 88.81637821295462
+    - type: manhattan_f1
+      value: 81.9047619047619
+    - type: manhattan_precision
+      value: 82.1105527638191
+    - type: manhattan_recall
+      value: 81.69999999999999
+    - type: max_accuracy
+      value: 99.66831683168317
+    - type: max_ap
+      value: 89.56758407722171
+    - type: max_f1
+      value: 82.97029702970298
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 47.34055809539011
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 29.658298502445096
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 43.989840235812004
+    - type: mrr
+      value: 44.506899350649356
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.29667664654959
+    - type: cos_sim_spearman
+      value: 29.818596667773882
+    - type: dot_pearson
+      value: 31.296676647072026
+    - type: dot_spearman
+      value: 29.779857187330265
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.155
+    - type: map_at_10
+      value: 0.8330000000000001
+    - type: map_at_100
+      value: 4.590000000000001
+    - type: map_at_1000
+      value: 11.683
+    - type: map_at_3
+      value: 0.334
+    - type: map_at_5
+      value: 0.466
+    - type: mrr_at_1
+      value: 60.0
+    - type: mrr_at_10
+      value: 68.136
+    - type: mrr_at_100
+      value: 68.703
+    - type: mrr_at_1000
+      value: 68.703
+    - type: mrr_at_3
+      value: 66.0
+    - type: mrr_at_5
+      value: 66.4
+    - type: ndcg_at_1
+      value: 54.0
+    - type: ndcg_at_10
+      value: 44.658
+    - type: ndcg_at_100
+      value: 33.977000000000004
+    - type: ndcg_at_1000
+      value: 30.621
+    - type: ndcg_at_3
+      value: 48.939
+    - type: ndcg_at_5
+      value: 45.396
+    - type: precision_at_1
+      value: 57.99999999999999
+    - type: precision_at_10
+      value: 47.4
+    - type: precision_at_100
+      value: 35.82
+    - type: precision_at_1000
+      value: 14.876000000000001
+    - type: precision_at_3
+      value: 50.0
+    - type: precision_at_5
+      value: 45.6
+    - type: recall_at_1
+      value: 0.155
+    - type: recall_at_10
+      value: 1.0670000000000002
+    - type: recall_at_100
+      value: 7.651
+    - type: recall_at_1000
+      value: 29.537000000000003
+    - type: recall_at_3
+      value: 0.35500000000000004
+    - type: recall_at_5
+      value: 0.518
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.426
+    - type: map_at_10
+      value: 8.38
+    - type: map_at_100
+      value: 14.308000000000002
+    - type: map_at_1000
+      value: 15.956000000000001
+    - type: map_at_3
+      value: 4.596
+    - type: map_at_5
+      value: 6.1339999999999995
+    - type: mrr_at_1
+      value: 32.653
+    - type: mrr_at_10
+      value: 44.577
+    - type: mrr_at_100
+      value: 45.754
+    - type: mrr_at_1000
+      value: 45.754
+    - type: mrr_at_3
+      value: 41.156
+    - type: mrr_at_5
+      value: 43.401
+    - type: ndcg_at_1
+      value: 28.571
+    - type: ndcg_at_10
+      value: 21.116
+    - type: ndcg_at_100
+      value: 35.193000000000005
+    - type: ndcg_at_1000
+      value: 46.989
+    - type: ndcg_at_3
+      value: 24.708
+    - type: ndcg_at_5
+      value: 23.594
+    - type: precision_at_1
+      value: 32.653
+    - type: precision_at_10
+      value: 19.592000000000002
+    - type: precision_at_100
+      value: 8.265
+    - type: precision_at_1000
+      value: 1.5939999999999999
+    - type: precision_at_3
+      value: 27.211000000000002
+    - type: precision_at_5
+      value: 25.306
+    - type: recall_at_1
+      value: 2.426
+    - type: recall_at_10
+      value: 13.691
+    - type: recall_at_100
+      value: 49.446
+    - type: recall_at_1000
+      value: 86.124
+    - type: recall_at_3
+      value: 5.67
+    - type: recall_at_5
+      value: 8.506
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 79.2904
+    - type: ap
+      value: 19.73734798884487
+    - type: f1
+      value: 61.89018130098357
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 60.97906055461234
+    - type: f1
+      value: 61.25225658586279
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 41.859245341604115
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.4714192048638
+    - type: cos_sim_ap
+      value: 64.50474781834589
+    - type: cos_sim_f1
+      value: 60.58070866141732
+    - type: cos_sim_precision
+      value: 56.75426463808206
+    - type: cos_sim_recall
+      value: 64.96042216358839
+    - type: dot_accuracy
+      value: 83.4714192048638
+    - type: dot_ap
+      value: 64.50474781834589
+    - type: dot_f1
+      value: 60.58070866141732
+    - type: dot_precision
+      value: 56.75426463808206
+    - type: dot_recall
+      value: 64.96042216358839
+    - type: euclidean_accuracy
+      value: 83.4714192048638
+    - type: euclidean_ap
+      value: 64.50474781834589
+    - type: euclidean_f1
+      value: 60.58070866141732
+    - type: euclidean_precision
+      value: 56.75426463808206
+    - type: euclidean_recall
+      value: 64.96042216358839
+    - type: manhattan_accuracy
+      value: 83.48334028729809
+    - type: manhattan_ap
+      value: 64.6227449383717
+    - type: manhattan_f1
+      value: 60.88942307692308
+    - type: manhattan_precision
+      value: 55.916114790286976
+    - type: manhattan_recall
+      value: 66.83377308707124
+    - type: max_accuracy
+      value: 83.48334028729809
+    - type: max_ap
+      value: 64.6227449383717
+    - type: max_f1
+      value: 60.88942307692308
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.58295494236815
+    - type: cos_sim_ap
+      value: 83.22579648788027
+    - type: cos_sim_f1
+      value: 75.27357054859048
+    - type: cos_sim_precision
+      value: 71.09514031485284
+    - type: cos_sim_recall
+      value: 79.97382198952879
+    - type: dot_accuracy
+      value: 87.58295494236815
+    - type: dot_ap
+      value: 83.22579579937255
+    - type: dot_f1
+      value: 75.27357054859048
+    - type: dot_precision
+      value: 71.09514031485284
+    - type: dot_recall
+      value: 79.97382198952879
+    - type: euclidean_accuracy
+      value: 87.58295494236815
+    - type: euclidean_ap
+      value: 83.22580643443949
+    - type: euclidean_f1
+      value: 75.27357054859048
+    - type: euclidean_precision
+      value: 71.09514031485284
+    - type: euclidean_recall
+      value: 79.97382198952879
+    - type: manhattan_accuracy
+      value: 87.57325260992742
+    - type: manhattan_ap
+      value: 83.05240665725778
+    - type: manhattan_f1
+      value: 75.09726237641432
+    - type: manhattan_precision
+      value: 69.99800385920554
+    - type: manhattan_recall
+      value: 80.99784416384355
+    - type: max_accuracy
+      value: 87.58295494236815
+    - type: max_ap
+      value: 83.22580643443949
+    - type: max_f1
+      value: 75.27357054859048
+---