Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: gte_WORDLLAMA_MODEL2VEC_result
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 73.13432835820896
+    - type: ap
+      value: 35.167459200441506
+    - type: f1
+      value: 66.74544259725131
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 71.5158
+    - type: ap
+      value: 65.87290139797425
+    - type: f1
+      value: 71.31117308043078
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 37.032
+    - type: f1
+      value: 36.34554421029957
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 23.541999999999998
+    - type: map_at_10
+      value: 38.172
+    - type: map_at_100
+      value: 39.339
+    - type: map_at_1000
+      value: 39.353
+    - type: map_at_3
+      value: 33.286
+    - type: map_at_5
+      value: 35.942
+    - type: mrr_at_1
+      value: 24.253
+    - type: mrr_at_10
+      value: 38.423
+    - type: mrr_at_100
+      value: 39.589
+    - type: mrr_at_1000
+      value: 39.604
+    - type: mrr_at_3
+      value: 33.559
+    - type: mrr_at_5
+      value: 36.169000000000004
+    - type: ndcg_at_1
+      value: 23.541999999999998
+    - type: ndcg_at_10
+      value: 46.660000000000004
+    - type: ndcg_at_100
+      value: 51.800999999999995
+    - type: ndcg_at_1000
+      value: 52.147
+    - type: ndcg_at_3
+      value: 36.498000000000005
+    - type: ndcg_at_5
+      value: 41.309000000000005
+    - type: precision_at_1
+      value: 23.541999999999998
+    - type: precision_at_10
+      value: 7.396999999999999
+    - type: precision_at_100
+      value: 0.9690000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 15.268
+    - type: precision_at_5
+      value: 11.508000000000001
+    - type: recall_at_1
+      value: 23.541999999999998
+    - type: recall_at_10
+      value: 73.969
+    - type: recall_at_100
+      value: 96.871
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 45.804
+    - type: recall_at_5
+      value: 57.538999999999994
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 39.8392617925804
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 29.39147233524174
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 55.43457632808065
+    - type: mrr
+      value: 69.7011168271556
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.40924171268267
+    - type: cos_sim_spearman
+      value: 76.48728498335026
+    - type: euclidean_pearson
+      value: 78.11322656013188
+    - type: euclidean_spearman
+      value: 76.48728498335026
+    - type: manhattan_pearson
+      value: 78.39882365124392
+    - type: manhattan_spearman
+      value: 76.55837094044142
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.63311688311688
+    - type: f1
+      value: 74.89031278068427
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.47759744268641
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 26.72176842867392
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 21.918000000000003
+    - type: map_at_10
+      value: 29.912
+    - type: map_at_100
+      value: 31.205
+    - type: map_at_1000
+      value: 31.357000000000003
+    - type: map_at_3
+      value: 27.206000000000003
+    - type: map_at_5
+      value: 28.613
+    - type: mrr_at_1
+      value: 27.897
+    - type: mrr_at_10
+      value: 35.921
+    - type: mrr_at_100
+      value: 36.825
+    - type: mrr_at_1000
+      value: 36.894
+    - type: mrr_at_3
+      value: 33.858
+    - type: mrr_at_5
+      value: 34.881
+    - type: ndcg_at_1
+      value: 27.897
+    - type: ndcg_at_10
+      value: 35.306
+    - type: ndcg_at_100
+      value: 40.955999999999996
+    - type: ndcg_at_1000
+      value: 43.909
+    - type: ndcg_at_3
+      value: 31.422
+    - type: ndcg_at_5
+      value: 32.89
+    - type: precision_at_1
+      value: 27.897
+    - type: precision_at_10
+      value: 6.9239999999999995
+    - type: precision_at_100
+      value: 1.233
+    - type: precision_at_1000
+      value: 0.18
+    - type: precision_at_3
+      value: 15.451
+    - type: precision_at_5
+      value: 11.044
+    - type: recall_at_1
+      value: 21.918000000000003
+    - type: recall_at_10
+      value: 45.171
+    - type: recall_at_100
+      value: 70.226
+    - type: recall_at_1000
+      value: 90.279
+    - type: recall_at_3
+      value: 32.657000000000004
+    - type: recall_at_5
+      value: 37.372
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 20.456
+    - type: map_at_10
+      value: 26.596999999999998
+    - type: map_at_100
+      value: 27.639999999999997
+    - type: map_at_1000
+      value: 27.766000000000002
+    - type: map_at_3
+      value: 24.487000000000002
+    - type: map_at_5
+      value: 25.683
+    - type: mrr_at_1
+      value: 25.605
+    - type: mrr_at_10
+      value: 31.326999999999998
+    - type: mrr_at_100
+      value: 32.133
+    - type: mrr_at_1000
+      value: 32.198
+    - type: mrr_at_3
+      value: 29.310000000000002
+    - type: mrr_at_5
+      value: 30.431
+    - type: ndcg_at_1
+      value: 25.605
+    - type: ndcg_at_10
+      value: 30.728
+    - type: ndcg_at_100
+      value: 35.318
+    - type: ndcg_at_1000
+      value: 38.082
+    - type: ndcg_at_3
+      value: 27.226
+    - type: ndcg_at_5
+      value: 28.828
+    - type: precision_at_1
+      value: 25.605
+    - type: precision_at_10
+      value: 5.561
+    - type: precision_at_100
+      value: 1.001
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_3
+      value: 12.717999999999998
+    - type: precision_at_5
+      value: 9.134
+    - type: recall_at_1
+      value: 20.456
+    - type: recall_at_10
+      value: 38.476
+    - type: recall_at_100
+      value: 58.120000000000005
+    - type: recall_at_1000
+      value: 76.793
+    - type: recall_at_3
+      value: 28.232000000000003
+    - type: recall_at_5
+      value: 32.53
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 28.088
+    - type: map_at_10
+      value: 37.584
+    - type: map_at_100
+      value: 38.75
+    - type: map_at_1000
+      value: 38.842999999999996
+    - type: map_at_3
+      value: 34.839999999999996
+    - type: map_at_5
+      value: 36.352000000000004
+    - type: mrr_at_1
+      value: 32.476
+    - type: mrr_at_10
+      value: 40.892
+    - type: mrr_at_100
+      value: 41.792
+    - type: mrr_at_1000
+      value: 41.845
+    - type: mrr_at_3
+      value: 38.474000000000004
+    - type: mrr_at_5
+      value: 39.818999999999996
+    - type: ndcg_at_1
+      value: 32.476
+    - type: ndcg_at_10
+      value: 42.811
+    - type: ndcg_at_100
+      value: 48.045
+    - type: ndcg_at_1000
+      value: 50.09400000000001
+    - type: ndcg_at_3
+      value: 37.830000000000005
+    - type: ndcg_at_5
+      value: 40.168
+    - type: precision_at_1
+      value: 32.476
+    - type: precision_at_10
+      value: 7.034
+    - type: precision_at_100
+      value: 1.061
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 16.949
+    - type: precision_at_5
+      value: 11.799
+    - type: recall_at_1
+      value: 28.088
+    - type: recall_at_10
+      value: 55.318
+    - type: recall_at_100
+      value: 78.66499999999999
+    - type: recall_at_1000
+      value: 93.415
+    - type: recall_at_3
+      value: 41.865
+    - type: recall_at_5
+      value: 47.675
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 13.13
+    - type: map_at_10
+      value: 18.506
+    - type: map_at_100
+      value: 19.405
+    - type: map_at_1000
+      value: 19.516
+    - type: map_at_3
+      value: 16.821
+    - type: map_at_5
+      value: 17.782
+    - type: mrr_at_1
+      value: 14.124
+    - type: mrr_at_10
+      value: 19.767000000000003
+    - type: mrr_at_100
+      value: 20.66
+    - type: mrr_at_1000
+      value: 20.755000000000003
+    - type: mrr_at_3
+      value: 18.023
+    - type: mrr_at_5
+      value: 19.0
+    - type: ndcg_at_1
+      value: 14.124
+    - type: ndcg_at_10
+      value: 21.728
+    - type: ndcg_at_100
+      value: 26.422
+    - type: ndcg_at_1000
+      value: 29.73
+    - type: ndcg_at_3
+      value: 18.312
+    - type: ndcg_at_5
+      value: 19.993
+    - type: precision_at_1
+      value: 14.124
+    - type: precision_at_10
+      value: 3.4459999999999997
+    - type: precision_at_100
+      value: 0.617
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 7.91
+    - type: precision_at_5
+      value: 5.695
+    - type: recall_at_1
+      value: 13.13
+    - type: recall_at_10
+      value: 30.470000000000002
+    - type: recall_at_100
+      value: 52.449
+    - type: recall_at_1000
+      value: 78.25
+    - type: recall_at_3
+      value: 21.209
+    - type: recall_at_5
+      value: 25.281
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 7.7
+    - type: map_at_10
+      value: 12.333
+    - type: map_at_100
+      value: 13.367999999999999
+    - type: map_at_1000
+      value: 13.492
+    - type: map_at_3
+      value: 10.747
+    - type: map_at_5
+      value: 11.645999999999999
+    - type: mrr_at_1
+      value: 9.826
+    - type: mrr_at_10
+      value: 14.81
+    - type: mrr_at_100
+      value: 15.854
+    - type: mrr_at_1000
+      value: 15.953000000000001
+    - type: mrr_at_3
+      value: 13.039000000000001
+    - type: mrr_at_5
+      value: 14.046
+    - type: ndcg_at_1
+      value: 9.826
+    - type: ndcg_at_10
+      value: 15.437000000000001
+    - type: ndcg_at_100
+      value: 21.009
+    - type: ndcg_at_1000
+      value: 24.515
+    - type: ndcg_at_3
+      value: 12.349
+    - type: ndcg_at_5
+      value: 13.850000000000001
+    - type: precision_at_1
+      value: 9.826
+    - type: precision_at_10
+      value: 3.01
+    - type: precision_at_100
+      value: 0.692
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 6.053
+    - type: precision_at_5
+      value: 4.577
+    - type: recall_at_1
+      value: 7.7
+    - type: recall_at_10
+      value: 22.546
+    - type: recall_at_100
+      value: 47.648
+    - type: recall_at_1000
+      value: 73.655
+    - type: recall_at_3
+      value: 14.289
+    - type: recall_at_5
+      value: 17.994
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 19.886
+    - type: map_at_10
+      value: 26.63
+    - type: map_at_100
+      value: 27.944999999999997
+    - type: map_at_1000
+      value: 28.097
+    - type: map_at_3
+      value: 24.077
+    - type: map_at_5
+      value: 25.378
+    - type: mrr_at_1
+      value: 24.254
+    - type: mrr_at_10
+      value: 31.416
+    - type: mrr_at_100
+      value: 32.425
+    - type: mrr_at_1000
+      value: 32.501999999999995
+    - type: mrr_at_3
+      value: 28.793999999999997
+    - type: mrr_at_5
+      value: 30.237000000000002
+    - type: ndcg_at_1
+      value: 24.254
+    - type: ndcg_at_10
+      value: 31.524
+    - type: ndcg_at_100
+      value: 37.658
+    - type: ndcg_at_1000
+      value: 40.722
+    - type: ndcg_at_3
+      value: 26.953
+    - type: ndcg_at_5
+      value: 28.919
+    - type: precision_at_1
+      value: 24.254
+    - type: precision_at_10
+      value: 5.881
+    - type: precision_at_100
+      value: 1.072
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 12.479999999999999
+    - type: precision_at_5
+      value: 9.105
+    - type: recall_at_1
+      value: 19.886
+    - type: recall_at_10
+      value: 41.593
+    - type: recall_at_100
+      value: 68.43599999999999
+    - type: recall_at_1000
+      value: 89.041
+    - type: recall_at_3
+      value: 28.723
+    - type: recall_at_5
+      value: 33.804
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 15.821
+    - type: map_at_10
+      value: 21.898999999999997
+    - type: map_at_100
+      value: 23.189
+    - type: map_at_1000
+      value: 23.323
+    - type: map_at_3
+      value: 19.634999999999998
+    - type: map_at_5
+      value: 20.848
+    - type: mrr_at_1
+      value: 19.064
+    - type: mrr_at_10
+      value: 25.784000000000002
+    - type: mrr_at_100
+      value: 26.828999999999997
+    - type: mrr_at_1000
+      value: 26.904
+    - type: mrr_at_3
+      value: 23.573
+    - type: mrr_at_5
+      value: 24.812
+    - type: ndcg_at_1
+      value: 19.064
+    - type: ndcg_at_10
+      value: 26.229999999999997
+    - type: ndcg_at_100
+      value: 32.326
+    - type: ndcg_at_1000
+      value: 35.435
+    - type: ndcg_at_3
+      value: 22.070999999999998
+    - type: ndcg_at_5
+      value: 23.93
+    - type: precision_at_1
+      value: 19.064
+    - type: precision_at_10
+      value: 4.966
+    - type: precision_at_100
+      value: 0.967
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 10.54
+    - type: precision_at_5
+      value: 7.785
+    - type: recall_at_1
+      value: 15.821
+    - type: recall_at_10
+      value: 35.516
+    - type: recall_at_100
+      value: 61.971
+    - type: recall_at_1000
+      value: 83.848
+    - type: recall_at_3
+      value: 23.97
+    - type: recall_at_5
+      value: 28.662
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.921916666666666
+    - type: map_at_10
+      value: 21.780166666666666
+    - type: map_at_100
+      value: 22.84433333333333
+    - type: map_at_1000
+      value: 22.975916666666667
+    - type: map_at_3
+      value: 19.735916666666665
+    - type: map_at_5
+      value: 20.860416666666666
+    - type: mrr_at_1
+      value: 19.054249999999996
+    - type: mrr_at_10
+      value: 25.021333333333335
+    - type: mrr_at_100
+      value: 25.93491666666667
+    - type: mrr_at_1000
+      value: 26.019166666666667
+    - type: mrr_at_3
+      value: 23.03583333333333
+    - type: mrr_at_5
+      value: 24.140000000000004
+    - type: ndcg_at_1
+      value: 19.054249999999996
+    - type: ndcg_at_10
+      value: 25.70233333333334
+    - type: ndcg_at_100
+      value: 30.890500000000003
+    - type: ndcg_at_1000
+      value: 34.02575
+    - type: ndcg_at_3
+      value: 22.017666666666663
+    - type: ndcg_at_5
+      value: 23.718666666666664
+    - type: precision_at_1
+      value: 19.054249999999996
+    - type: precision_at_10
+      value: 4.622083333333333
+    - type: precision_at_100
+      value: 0.86825
+    - type: precision_at_1000
+      value: 0.13258333333333333
+    - type: precision_at_3
+      value: 10.176166666666669
+    - type: precision_at_5
+      value: 7.382749999999999
+    - type: recall_at_1
+      value: 15.921916666666666
+    - type: recall_at_10
+      value: 34.314833333333326
+    - type: recall_at_100
+      value: 57.83341666666667
+    - type: recall_at_1000
+      value: 80.45625000000001
+    - type: recall_at_3
+      value: 23.967166666666667
+    - type: recall_at_5
+      value: 28.36841666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 12.857
+    - type: map_at_10
+      value: 17.826
+    - type: map_at_100
+      value: 18.677
+    - type: map_at_1000
+      value: 18.775
+    - type: map_at_3
+      value: 16.227
+    - type: map_at_5
+      value: 17.168
+    - type: mrr_at_1
+      value: 14.877
+    - type: mrr_at_10
+      value: 19.784
+    - type: mrr_at_100
+      value: 20.662
+    - type: mrr_at_1000
+      value: 20.746000000000002
+    - type: mrr_at_3
+      value: 18.175
+    - type: mrr_at_5
+      value: 19.08
+    - type: ndcg_at_1
+      value: 14.877
+    - type: ndcg_at_10
+      value: 20.987000000000002
+    - type: ndcg_at_100
+      value: 25.654
+    - type: ndcg_at_1000
+      value: 28.360000000000003
+    - type: ndcg_at_3
+      value: 17.919
+    - type: ndcg_at_5
+      value: 19.404
+    - type: precision_at_1
+      value: 14.877
+    - type: precision_at_10
+      value: 3.528
+    - type: precision_at_100
+      value: 0.641
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 8.129
+    - type: precision_at_5
+      value: 5.798
+    - type: recall_at_1
+      value: 12.857
+    - type: recall_at_10
+      value: 28.864
+    - type: recall_at_100
+      value: 50.943000000000005
+    - type: recall_at_1000
+      value: 71.158
+    - type: recall_at_3
+      value: 20.330000000000002
+    - type: recall_at_5
+      value: 24.03
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 8.823
+    - type: map_at_10
+      value: 12.664
+    - type: map_at_100
+      value: 13.447000000000001
+    - type: map_at_1000
+      value: 13.58
+    - type: map_at_3
+      value: 11.372
+    - type: map_at_5
+      value: 12.052
+    - type: mrr_at_1
+      value: 10.84
+    - type: mrr_at_10
+      value: 15.135000000000002
+    - type: mrr_at_100
+      value: 15.919
+    - type: mrr_at_1000
+      value: 16.026
+    - type: mrr_at_3
+      value: 13.702
+    - type: mrr_at_5
+      value: 14.496
+    - type: ndcg_at_1
+      value: 10.84
+    - type: ndcg_at_10
+      value: 15.375
+    - type: ndcg_at_100
+      value: 19.612
+    - type: ndcg_at_1000
+      value: 23.305
+    - type: ndcg_at_3
+      value: 12.879999999999999
+    - type: ndcg_at_5
+      value: 13.980999999999998
+    - type: precision_at_1
+      value: 10.84
+    - type: precision_at_10
+      value: 2.887
+    - type: precision_at_100
+      value: 0.599
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 6.171
+    - type: precision_at_5
+      value: 4.522
+    - type: recall_at_1
+      value: 8.823
+    - type: recall_at_10
+      value: 21.19
+    - type: recall_at_100
+      value: 40.843
+    - type: recall_at_1000
+      value: 68.118
+    - type: recall_at_3
+      value: 14.219000000000001
+    - type: recall_at_5
+      value: 17.061
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 14.841999999999999
+    - type: map_at_10
+      value: 19.807
+    - type: map_at_100
+      value: 20.646
+    - type: map_at_1000
+      value: 20.782
+    - type: map_at_3
+      value: 17.881
+    - type: map_at_5
+      value: 18.94
+    - type: mrr_at_1
+      value: 17.631
+    - type: mrr_at_10
+      value: 22.949
+    - type: mrr_at_100
+      value: 23.727
+    - type: mrr_at_1000
+      value: 23.829
+    - type: mrr_at_3
+      value: 20.896
+    - type: mrr_at_5
+      value: 21.964
+    - type: ndcg_at_1
+      value: 17.631
+    - type: ndcg_at_10
+      value: 23.544999999999998
+    - type: ndcg_at_100
+      value: 28.042
+    - type: ndcg_at_1000
+      value: 31.66
+    - type: ndcg_at_3
+      value: 19.697
+    - type: ndcg_at_5
+      value: 21.467
+    - type: precision_at_1
+      value: 17.631
+    - type: precision_at_10
+      value: 4.039000000000001
+    - type: precision_at_100
+      value: 0.7080000000000001
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 8.831
+    - type: precision_at_5
+      value: 6.381
+    - type: recall_at_1
+      value: 14.841999999999999
+    - type: recall_at_10
+      value: 32.144
+    - type: recall_at_100
+      value: 52.896
+    - type: recall_at_1000
+      value: 79.3
+    - type: recall_at_3
+      value: 21.64
+    - type: recall_at_5
+      value: 26.127
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.182
+    - type: map_at_10
+      value: 21.423000000000002
+    - type: map_at_100
+      value: 22.766000000000002
+    - type: map_at_1000
+      value: 22.966
+    - type: map_at_3
+      value: 19.096
+    - type: map_at_5
+      value: 20.514
+    - type: mrr_at_1
+      value: 18.379
+    - type: mrr_at_10
+      value: 24.834999999999997
+    - type: mrr_at_100
+      value: 25.818
+    - type: mrr_at_1000
+      value: 25.893
+    - type: mrr_at_3
+      value: 22.628
+    - type: mrr_at_5
+      value: 24.032
+    - type: ndcg_at_1
+      value: 18.379
+    - type: ndcg_at_10
+      value: 25.766
+    - type: ndcg_at_100
+      value: 31.677
+    - type: ndcg_at_1000
+      value: 35.024
+    - type: ndcg_at_3
+      value: 22.027
+    - type: ndcg_at_5
+      value: 24.046
+    - type: precision_at_1
+      value: 18.379
+    - type: precision_at_10
+      value: 5.158
+    - type: precision_at_100
+      value: 1.2309999999999999
+    - type: precision_at_1000
+      value: 0.211
+    - type: precision_at_3
+      value: 10.474
+    - type: precision_at_5
+      value: 7.983999999999999
+    - type: recall_at_1
+      value: 15.182
+    - type: recall_at_10
+      value: 34.008
+    - type: recall_at_100
+      value: 61.882000000000005
+    - type: recall_at_1000
+      value: 84.635
+    - type: recall_at_3
+      value: 23.3
+    - type: recall_at_5
+      value: 28.732999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 12.36
+    - type: map_at_10
+      value: 16.181
+    - type: map_at_100
+      value: 17.094
+    - type: map_at_1000
+      value: 17.214
+    - type: map_at_3
+      value: 14.442
+    - type: map_at_5
+      value: 15.348999999999998
+    - type: mrr_at_1
+      value: 13.678
+    - type: mrr_at_10
+      value: 17.636
+    - type: mrr_at_100
+      value: 18.575
+    - type: mrr_at_1000
+      value: 18.685
+    - type: mrr_at_3
+      value: 15.958
+    - type: mrr_at_5
+      value: 16.882
+    - type: ndcg_at_1
+      value: 13.678
+    - type: ndcg_at_10
+      value: 18.991
+    - type: ndcg_at_100
+      value: 23.967
+    - type: ndcg_at_1000
+      value: 27.473
+    - type: ndcg_at_3
+      value: 15.526000000000002
+    - type: ndcg_at_5
+      value: 17.148
+    - type: precision_at_1
+      value: 13.678
+    - type: precision_at_10
+      value: 3.031
+    - type: precision_at_100
+      value: 0.597
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 6.4079999999999995
+    - type: precision_at_5
+      value: 4.769
+    - type: recall_at_1
+      value: 12.36
+    - type: recall_at_10
+      value: 26.482
+    - type: recall_at_100
+      value: 49.922
+    - type: recall_at_1000
+      value: 76.983
+    - type: recall_at_3
+      value: 17.172
+    - type: recall_at_5
+      value: 21.152
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 8.464
+    - type: map_at_10
+      value: 14.78
+    - type: map_at_100
+      value: 16.436999999999998
+    - type: map_at_1000
+      value: 16.650000000000002
+    - type: map_at_3
+      value: 12.027000000000001
+    - type: map_at_5
+      value: 13.428999999999998
+    - type: mrr_at_1
+      value: 19.544
+    - type: mrr_at_10
+      value: 29.537999999999997
+    - type: mrr_at_100
+      value: 30.653000000000002
+    - type: mrr_at_1000
+      value: 30.708000000000002
+    - type: mrr_at_3
+      value: 25.798
+    - type: mrr_at_5
+      value: 28.072000000000003
+    - type: ndcg_at_1
+      value: 19.544
+    - type: ndcg_at_10
+      value: 21.953
+    - type: ndcg_at_100
+      value: 29.188
+    - type: ndcg_at_1000
+      value: 33.222
+    - type: ndcg_at_3
+      value: 16.89
+    - type: ndcg_at_5
+      value: 18.825
+    - type: precision_at_1
+      value: 19.544
+    - type: precision_at_10
+      value: 7.277
+    - type: precision_at_100
+      value: 1.506
+    - type: precision_at_1000
+      value: 0.22399999999999998
+    - type: precision_at_3
+      value: 12.834000000000001
+    - type: precision_at_5
+      value: 10.488999999999999
+    - type: recall_at_1
+      value: 8.464
+    - type: recall_at_10
+      value: 27.762999999999998
+    - type: recall_at_100
+      value: 53.147999999999996
+    - type: recall_at_1000
+      value: 76.183
+    - type: recall_at_3
+      value: 15.642
+    - type: recall_at_5
+      value: 20.593
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 5.676
+    - type: map_at_10
+      value: 11.847000000000001
+    - type: map_at_100
+      value: 16.875999999999998
+    - type: map_at_1000
+      value: 18.081
+    - type: map_at_3
+      value: 8.512
+    - type: map_at_5
+      value: 9.956
+    - type: mrr_at_1
+      value: 48.0
+    - type: mrr_at_10
+      value: 57.928000000000004
+    - type: mrr_at_100
+      value: 58.52
+    - type: mrr_at_1000
+      value: 58.544
+    - type: mrr_at_3
+      value: 55.333
+    - type: mrr_at_5
+      value: 56.958
+    - type: ndcg_at_1
+      value: 35.875
+    - type: ndcg_at_10
+      value: 27.221
+    - type: ndcg_at_100
+      value: 31.808999999999997
+    - type: ndcg_at_1000
+      value: 39.199
+    - type: ndcg_at_3
+      value: 30.274
+    - type: ndcg_at_5
+      value: 28.785
+    - type: precision_at_1
+      value: 48.0
+    - type: precision_at_10
+      value: 23.65
+    - type: precision_at_100
+      value: 7.818
+    - type: precision_at_1000
+      value: 1.651
+    - type: precision_at_3
+      value: 35.833
+    - type: precision_at_5
+      value: 31.0
+    - type: recall_at_1
+      value: 5.676
+    - type: recall_at_10
+      value: 16.619
+    - type: recall_at_100
+      value: 39.422000000000004
+    - type: recall_at_1000
+      value: 64.095
+    - type: recall_at_3
+      value: 9.608
+    - type: recall_at_5
+      value: 12.277000000000001
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 49.185
+    - type: f1
+      value: 44.87033813298503
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 18.904
+    - type: map_at_10
+      value: 28.435
+    - type: map_at_100
+      value: 29.498
+    - type: map_at_1000
+      value: 29.567
+    - type: map_at_3
+      value: 25.319000000000003
+    - type: map_at_5
+      value: 27.13
+    - type: mrr_at_1
+      value: 20.116999999999997
+    - type: mrr_at_10
+      value: 30.112
+    - type: mrr_at_100
+      value: 31.155
+    - type: mrr_at_1000
+      value: 31.213
+    - type: mrr_at_3
+      value: 26.895000000000003
+    - type: mrr_at_5
+      value: 28.793000000000003
+    - type: ndcg_at_1
+      value: 20.116999999999997
+    - type: ndcg_at_10
+      value: 34.244
+    - type: ndcg_at_100
+      value: 39.409
+    - type: ndcg_at_1000
+      value: 41.195
+    - type: ndcg_at_3
+      value: 27.872000000000003
+    - type: ndcg_at_5
+      value: 31.128
+    - type: precision_at_1
+      value: 20.116999999999997
+    - type: precision_at_10
+      value: 5.534
+    - type: precision_at_100
+      value: 0.828
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 12.076
+    - type: precision_at_5
+      value: 8.965
+    - type: recall_at_1
+      value: 18.904
+    - type: recall_at_10
+      value: 50.858000000000004
+    - type: recall_at_100
+      value: 74.42
+    - type: recall_at_1000
+      value: 88.023
+    - type: recall_at_3
+      value: 33.675
+    - type: recall_at_5
+      value: 41.449999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 8.892
+    - type: map_at_10
+      value: 14.363000000000001
+    - type: map_at_100
+      value: 15.75
+    - type: map_at_1000
+      value: 15.959000000000001
+    - type: map_at_3
+      value: 12.25
+    - type: map_at_5
+      value: 13.286999999999999
+    - type: mrr_at_1
+      value: 16.821
+    - type: mrr_at_10
+      value: 23.425
+    - type: mrr_at_100
+      value: 24.556
+    - type: mrr_at_1000
+      value: 24.637
+    - type: mrr_at_3
+      value: 20.885
+    - type: mrr_at_5
+      value: 22.127
+    - type: ndcg_at_1
+      value: 16.821
+    - type: ndcg_at_10
+      value: 19.412
+    - type: ndcg_at_100
+      value: 25.836
+    - type: ndcg_at_1000
+      value: 30.131000000000004
+    - type: ndcg_at_3
+      value: 16.198
+    - type: ndcg_at_5
+      value: 17.185
+    - type: precision_at_1
+      value: 16.821
+    - type: precision_at_10
+      value: 5.556
+    - type: precision_at_100
+      value: 1.1820000000000002
+    - type: precision_at_1000
+      value: 0.194
+    - type: precision_at_3
+      value: 10.545
+    - type: precision_at_5
+      value: 8.056000000000001
+    - type: recall_at_1
+      value: 8.892
+    - type: recall_at_10
+      value: 25.249
+    - type: recall_at_100
+      value: 50.263000000000005
+    - type: recall_at_1000
+      value: 76.43299999999999
+    - type: recall_at_3
+      value: 15.094
+    - type: recall_at_5
+      value: 18.673000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 20.831
+    - type: map_at_10
+      value: 29.959999999999997
+    - type: map_at_100
+      value: 30.959999999999997
+    - type: map_at_1000
+      value: 31.069000000000003
+    - type: map_at_3
+      value: 27.453
+    - type: map_at_5
+      value: 28.838
+    - type: mrr_at_1
+      value: 41.661
+    - type: mrr_at_10
+      value: 49.647999999999996
+    - type: mrr_at_100
+      value: 50.304
+    - type: mrr_at_1000
+      value: 50.352
+    - type: mrr_at_3
+      value: 47.403
+    - type: mrr_at_5
+      value: 48.657000000000004
+    - type: ndcg_at_1
+      value: 41.661
+    - type: ndcg_at_10
+      value: 37.854
+    - type: ndcg_at_100
+      value: 42.248999999999995
+    - type: ndcg_at_1000
+      value: 44.756
+    - type: ndcg_at_3
+      value: 33.243
+    - type: ndcg_at_5
+      value: 35.467
+    - type: precision_at_1
+      value: 41.661
+    - type: precision_at_10
+      value: 8.386000000000001
+    - type: precision_at_100
+      value: 1.1900000000000002
+    - type: precision_at_1000
+      value: 0.152
+    - type: precision_at_3
+      value: 21.022
+    - type: precision_at_5
+      value: 14.377
+    - type: recall_at_1
+      value: 20.831
+    - type: recall_at_10
+      value: 41.931000000000004
+    - type: recall_at_100
+      value: 59.507
+    - type: recall_at_1000
+      value: 76.232
+    - type: recall_at_3
+      value: 31.533
+    - type: recall_at_5
+      value: 35.942
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 70.2136
+    - type: ap
+      value: 64.38274263735502
+    - type: f1
+      value: 70.02577813394484
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 7.542999999999999
+    - type: map_at_10
+      value: 13.229
+    - type: map_at_100
+      value: 14.283999999999999
+    - type: map_at_1000
+      value: 14.396
+    - type: map_at_3
+      value: 11.139000000000001
+    - type: map_at_5
+      value: 12.259
+    - type: mrr_at_1
+      value: 7.808
+    - type: mrr_at_10
+      value: 13.577
+    - type: mrr_at_100
+      value: 14.625
+    - type: mrr_at_1000
+      value: 14.732000000000001
+    - type: mrr_at_3
+      value: 11.464
+    - type: mrr_at_5
+      value: 12.584999999999999
+    - type: ndcg_at_1
+      value: 7.779
+    - type: ndcg_at_10
+      value: 16.793
+    - type: ndcg_at_100
+      value: 22.564
+    - type: ndcg_at_1000
+      value: 25.799
+    - type: ndcg_at_3
+      value: 12.431000000000001
+    - type: ndcg_at_5
+      value: 14.442
+    - type: precision_at_1
+      value: 7.779
+    - type: precision_at_10
+      value: 2.894
+    - type: precision_at_100
+      value: 0.59
+    - type: precision_at_1000
+      value: 0.087
+    - type: precision_at_3
+      value: 5.454
+    - type: precision_at_5
+      value: 4.278
+    - type: recall_at_1
+      value: 7.542999999999999
+    - type: recall_at_10
+      value: 27.907
+    - type: recall_at_100
+      value: 56.13399999999999
+    - type: recall_at_1000
+      value: 81.877
+    - type: recall_at_3
+      value: 15.878999999999998
+    - type: recall_at_5
+      value: 20.726
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 91.68490652074783
+    - type: f1
+      value: 90.90009716586837
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 61.33150934792522
+    - type: f1
+      value: 42.414995407585955
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 66.29455279085406
+    - type: f1
+      value: 64.0154454215856
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 73.91055817081372
+    - type: f1
+      value: 72.79505573377739
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.478611587568
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.395691978780366
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.75504868917307
+    - type: mrr
+      value: 31.723412508217553
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 4.739
+    - type: map_at_10
+      value: 9.419
+    - type: map_at_100
+      value: 12.209
+    - type: map_at_1000
+      value: 13.653
+    - type: map_at_3
+      value: 7.292999999999999
+    - type: map_at_5
+      value: 8.291
+    - type: mrr_at_1
+      value: 38.7
+    - type: mrr_at_10
+      value: 47.934
+    - type: mrr_at_100
+      value: 48.605
+    - type: mrr_at_1000
+      value: 48.646
+    - type: mrr_at_3
+      value: 45.717
+    - type: mrr_at_5
+      value: 47.157
+    - type: ndcg_at_1
+      value: 36.842000000000006
+    - type: ndcg_at_10
+      value: 28.077
+    - type: ndcg_at_100
+      value: 26.83
+    - type: ndcg_at_1000
+      value: 36.272
+    - type: ndcg_at_3
+      value: 32.429
+    - type: ndcg_at_5
+      value: 30.823
+    - type: precision_at_1
+      value: 38.7
+    - type: precision_at_10
+      value: 20.774
+    - type: precision_at_100
+      value: 7.331
+    - type: precision_at_1000
+      value: 2.085
+    - type: precision_at_3
+      value: 30.341
+    - type: precision_at_5
+      value: 26.502
+    - type: recall_at_1
+      value: 4.739
+    - type: recall_at_10
+      value: 13.065999999999999
+    - type: recall_at_100
+      value: 28.875
+    - type: recall_at_1000
+      value: 62.751000000000005
+    - type: recall_at_3
+      value: 8.338
+    - type: recall_at_5
+      value: 10.211
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 10.764
+    - type: map_at_10
+      value: 18.582
+    - type: map_at_100
+      value: 19.953000000000003
+    - type: map_at_1000
+      value: 20.049
+    - type: map_at_3
+      value: 15.551
+    - type: map_at_5
+      value: 17.143
+    - type: mrr_at_1
+      value: 12.283
+    - type: mrr_at_10
+      value: 20.507
+    - type: mrr_at_100
+      value: 21.724
+    - type: mrr_at_1000
+      value: 21.801000000000002
+    - type: mrr_at_3
+      value: 17.434
+    - type: mrr_at_5
+      value: 19.097
+    - type: ndcg_at_1
+      value: 12.254
+    - type: ndcg_at_10
+      value: 23.818
+    - type: ndcg_at_100
+      value: 30.652
+    - type: ndcg_at_1000
+      value: 33.25
+    - type: ndcg_at_3
+      value: 17.577
+    - type: ndcg_at_5
+      value: 20.43
+    - type: precision_at_1
+      value: 12.254
+    - type: precision_at_10
+      value: 4.492999999999999
+    - type: precision_at_100
+      value: 0.8370000000000001
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 8.333
+    - type: precision_at_5
+      value: 6.593
+    - type: recall_at_1
+      value: 10.764
+    - type: recall_at_10
+      value: 38.279999999999994
+    - type: recall_at_100
+      value: 69.77600000000001
+    - type: recall_at_1000
+      value: 89.75
+    - type: recall_at_3
+      value: 21.608
+    - type: recall_at_5
+      value: 28.247
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 66.238
+    - type: map_at_10
+      value: 79.61
+    - type: map_at_100
+      value: 80.339
+    - type: map_at_1000
+      value: 80.366
+    - type: map_at_3
+      value: 76.572
+    - type: map_at_5
+      value: 78.45100000000001
+    - type: mrr_at_1
+      value: 76.18
+    - type: mrr_at_10
+      value: 83.319
+    - type: mrr_at_100
+      value: 83.492
+    - type: mrr_at_1000
+      value: 83.49499999999999
+    - type: mrr_at_3
+      value: 82.002
+    - type: mrr_at_5
+      value: 82.88
+    - type: ndcg_at_1
+      value: 76.24
+    - type: ndcg_at_10
+      value: 84.048
+    - type: ndcg_at_100
+      value: 85.76700000000001
+    - type: ndcg_at_1000
+      value: 85.989
+    - type: ndcg_at_3
+      value: 80.608
+    - type: ndcg_at_5
+      value: 82.45
+    - type: precision_at_1
+      value: 76.24
+    - type: precision_at_10
+      value: 12.775
+    - type: precision_at_100
+      value: 1.498
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 35.107
+    - type: precision_at_5
+      value: 23.198
+    - type: recall_at_1
+      value: 66.238
+    - type: recall_at_10
+      value: 92.655
+    - type: recall_at_100
+      value: 98.79599999999999
+    - type: recall_at_1000
+      value: 99.914
+    - type: recall_at_3
+      value: 82.818
+    - type: recall_at_5
+      value: 87.985
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 45.96790773164943
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 51.114201492992976
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.3029999999999995
+    - type: map_at_10
+      value: 8.534
+    - type: map_at_100
+      value: 10.269
+    - type: map_at_1000
+      value: 10.569
+    - type: map_at_3
+      value: 6.02
+    - type: map_at_5
+      value: 7.3
+    - type: mrr_at_1
+      value: 16.2
+    - type: mrr_at_10
+      value: 26.048
+    - type: mrr_at_100
+      value: 27.229
+    - type: mrr_at_1000
+      value: 27.307
+    - type: mrr_at_3
+      value: 22.8
+    - type: mrr_at_5
+      value: 24.555
+    - type: ndcg_at_1
+      value: 16.2
+    - type: ndcg_at_10
+      value: 15.152
+    - type: ndcg_at_100
+      value: 22.692999999999998
+    - type: ndcg_at_1000
+      value: 28.283
+    - type: ndcg_at_3
+      value: 13.831
+    - type: ndcg_at_5
+      value: 12.383
+    - type: precision_at_1
+      value: 16.2
+    - type: precision_at_10
+      value: 8.15
+    - type: precision_at_100
+      value: 1.921
+    - type: precision_at_1000
+      value: 0.326
+    - type: precision_at_3
+      value: 13.167000000000002
+    - type: precision_at_5
+      value: 11.200000000000001
+    - type: recall_at_1
+      value: 3.3029999999999995
+    - type: recall_at_10
+      value: 16.463
+    - type: recall_at_100
+      value: 38.968
+    - type: recall_at_1000
+      value: 66.208
+    - type: recall_at_3
+      value: 8.023
+    - type: recall_at_5
+      value: 11.338
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.21858054391086
+    - type: cos_sim_spearman
+      value: 67.3365618536054
+    - type: euclidean_pearson
+      value: 72.40963340986721
+    - type: euclidean_spearman
+      value: 67.336666949735
+    - type: manhattan_pearson
+      value: 72.14690674984998
+    - type: manhattan_spearman
+      value: 67.32922820760339
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.49003508454533
+    - type: cos_sim_spearman
+      value: 66.84152843358724
+    - type: euclidean_pearson
+      value: 72.00905568823764
+    - type: euclidean_spearman
+      value: 66.8427445518875
+    - type: manhattan_pearson
+      value: 71.33279968302561
+    - type: manhattan_spearman
+      value: 66.63248621937453
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.26330596241046
+    - type: cos_sim_spearman
+      value: 78.99008985666835
+    - type: euclidean_pearson
+      value: 78.51141445278363
+    - type: euclidean_spearman
+      value: 78.99010203692151
+    - type: manhattan_pearson
+      value: 78.06877144241578
+    - type: manhattan_spearman
+      value: 78.49232451344044
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.14106714330973
+    - type: cos_sim_spearman
+      value: 74.82820560037015
+    - type: euclidean_pearson
+      value: 77.62758758774916
+    - type: euclidean_spearman
+      value: 74.82819590900333
+    - type: manhattan_pearson
+      value: 77.48877257108047
+    - type: manhattan_spearman
+      value: 74.74789870583966
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.48914773660643
+    - type: cos_sim_spearman
+      value: 83.00065347429336
+    - type: euclidean_pearson
+      value: 82.64658342996727
+    - type: euclidean_spearman
+      value: 83.00065194339217
+    - type: manhattan_pearson
+      value: 82.55463149184536
+    - type: manhattan_spearman
+      value: 82.8911825343332
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.784876359328
+    - type: cos_sim_spearman
+      value: 78.360543979936
+    - type: euclidean_pearson
+      value: 77.73937696752135
+    - type: euclidean_spearman
+      value: 78.36053665222538
+    - type: manhattan_pearson
+      value: 77.56126269274264
+    - type: manhattan_spearman
+      value: 78.18717393504727
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.63171981287952
+    - type: cos_sim_spearman
+      value: 87.49687143000429
+    - type: euclidean_pearson
+      value: 86.37853734517222
+    - type: euclidean_spearman
+      value: 87.4977435828658
+    - type: manhattan_pearson
+      value: 86.40342805532555
+    - type: manhattan_spearman
+      value: 87.57812091712806
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 60.00736823914696
+    - type: cos_sim_spearman
+      value: 60.59580774316736
+    - type: euclidean_pearson
+      value: 61.893600849213094
+    - type: euclidean_spearman
+      value: 60.59580774316736
+    - type: manhattan_pearson
+      value: 61.43013801720455
+    - type: manhattan_spearman
+      value: 59.92526461879062
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.58292387813594
+    - type: cos_sim_spearman
+      value: 78.85975762418589
+    - type: euclidean_pearson
+      value: 80.28122335716425
+    - type: euclidean_spearman
+      value: 78.85977608876506
+    - type: manhattan_pearson
+      value: 80.20419882971093
+    - type: manhattan_spearman
+      value: 78.79811621332709
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 78.54383068715617
+    - type: mrr
+      value: 93.62365031482678
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 39.111000000000004
+    - type: map_at_10
+      value: 47.686
+    - type: map_at_100
+      value: 48.722
+    - type: map_at_1000
+      value: 48.776
+    - type: map_at_3
+      value: 44.625
+    - type: map_at_5
+      value: 46.289
+    - type: mrr_at_1
+      value: 41.667
+    - type: mrr_at_10
+      value: 49.619
+    - type: mrr_at_100
+      value: 50.434
+    - type: mrr_at_1000
+      value: 50.482000000000006
+    - type: mrr_at_3
+      value: 46.833000000000006
+    - type: mrr_at_5
+      value: 48.317
+    - type: ndcg_at_1
+      value: 41.667
+    - type: ndcg_at_10
+      value: 52.819
+    - type: ndcg_at_100
+      value: 57.69
+    - type: ndcg_at_1000
+      value: 58.965
+    - type: ndcg_at_3
+      value: 46.857
+    - type: ndcg_at_5
+      value: 49.697
+    - type: precision_at_1
+      value: 41.667
+    - type: precision_at_10
+      value: 7.367
+    - type: precision_at_100
+      value: 1.0070000000000001
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 18.333
+    - type: precision_at_5
+      value: 12.6
+    - type: recall_at_1
+      value: 39.111000000000004
+    - type: recall_at_10
+      value: 67.039
+    - type: recall_at_100
+      value: 89.767
+    - type: recall_at_1000
+      value: 99.467
+    - type: recall_at_3
+      value: 51.056000000000004
+    - type: recall_at_5
+      value: 57.99999999999999
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.72772277227723
+    - type: cos_sim_ap
+      value: 91.98542118937158
+    - type: cos_sim_f1
+      value: 85.91691995947316
+    - type: cos_sim_precision
+      value: 87.06365503080082
+    - type: cos_sim_recall
+      value: 84.8
+    - type: dot_accuracy
+      value: 99.72772277227723
+    - type: dot_ap
+      value: 91.98542118937158
+    - type: dot_f1
+      value: 85.91691995947316
+    - type: dot_precision
+      value: 87.06365503080082
+    - type: dot_recall
+      value: 84.8
+    - type: euclidean_accuracy
+      value: 99.72772277227723
+    - type: euclidean_ap
+      value: 91.98542118937158
+    - type: euclidean_f1
+      value: 85.91691995947316
+    - type: euclidean_precision
+      value: 87.06365503080082
+    - type: euclidean_recall
+      value: 84.8
+    - type: manhattan_accuracy
+      value: 99.72574257425742
+    - type: manhattan_ap
+      value: 91.96773898408213
+    - type: manhattan_f1
+      value: 85.8601327207759
+    - type: manhattan_precision
+      value: 87.69551616266945
+    - type: manhattan_recall
+      value: 84.1
+    - type: max_accuracy
+      value: 99.72772277227723
+    - type: max_ap
+      value: 91.98542118937158
+    - type: max_f1
+      value: 85.91691995947316
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 50.974351388709024
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 30.94724711190474
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 43.618618519378074
+    - type: mrr
+      value: 44.19061942959002
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.75942900919329
+    - type: cos_sim_spearman
+      value: 30.265779375382486
+    - type: dot_pearson
+      value: 29.759429009193283
+    - type: dot_spearman
+      value: 30.216316271647514
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.154
+    - type: map_at_10
+      value: 1.216
+    - type: map_at_100
+      value: 6.401
+    - type: map_at_1000
+      value: 16.882
+    - type: map_at_3
+      value: 0.418
+    - type: map_at_5
+      value: 0.7040000000000001
+    - type: mrr_at_1
+      value: 62.0
+    - type: mrr_at_10
+      value: 75.319
+    - type: mrr_at_100
+      value: 75.435
+    - type: mrr_at_1000
+      value: 75.435
+    - type: mrr_at_3
+      value: 73.333
+    - type: mrr_at_5
+      value: 75.033
+    - type: ndcg_at_1
+      value: 56.00000000000001
+    - type: ndcg_at_10
+      value: 54.176
+    - type: ndcg_at_100
+      value: 40.741
+    - type: ndcg_at_1000
+      value: 38.385000000000005
+    - type: ndcg_at_3
+      value: 57.676
+    - type: ndcg_at_5
+      value: 57.867000000000004
+    - type: precision_at_1
+      value: 62.0
+    - type: precision_at_10
+      value: 57.8
+    - type: precision_at_100
+      value: 42.68
+    - type: precision_at_1000
+      value: 18.478
+    - type: precision_at_3
+      value: 61.333000000000006
+    - type: precision_at_5
+      value: 63.6
+    - type: recall_at_1
+      value: 0.154
+    - type: recall_at_10
+      value: 1.468
+    - type: recall_at_100
+      value: 9.541
+    - type: recall_at_1000
+      value: 37.218
+    - type: recall_at_3
+      value: 0.46299999999999997
+    - type: recall_at_5
+      value: 0.8340000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.144
+    - type: map_at_10
+      value: 8.38
+    - type: map_at_100
+      value: 14.482000000000001
+    - type: map_at_1000
+      value: 16.179
+    - type: map_at_3
+      value: 3.821
+    - type: map_at_5
+      value: 5.96
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 41.501
+    - type: mrr_at_100
+      value: 42.575
+    - type: mrr_at_1000
+      value: 42.575
+    - type: mrr_at_3
+      value: 36.054
+    - type: mrr_at_5
+      value: 40.238
+    - type: ndcg_at_1
+      value: 21.429000000000002
+    - type: ndcg_at_10
+      value: 21.644
+    - type: ndcg_at_100
+      value: 35.427
+    - type: ndcg_at_1000
+      value: 47.116
+    - type: ndcg_at_3
+      value: 20.814
+    - type: ndcg_at_5
+      value: 22.783
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 21.224
+    - type: precision_at_100
+      value: 8.265
+    - type: precision_at_1000
+      value: 1.5959999999999999
+    - type: precision_at_3
+      value: 23.810000000000002
+    - type: precision_at_5
+      value: 26.122
+    - type: recall_at_1
+      value: 2.144
+    - type: recall_at_10
+      value: 15.278
+    - type: recall_at_100
+      value: 50.541000000000004
+    - type: recall_at_1000
+      value: 86.144
+    - type: recall_at_3
+      value: 5.056
+    - type: recall_at_5
+      value: 9.203
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 75.88100000000001
+    - type: ap
+      value: 17.210410808772743
+    - type: f1
+      value: 58.7851360197636
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.68024900962084
+    - type: f1
+      value: 59.95386992880734
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 41.55446050017461
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.32699529117244
+    - type: cos_sim_ap
+      value: 61.49148139881723
+    - type: cos_sim_f1
+      value: 59.31940298507462
+    - type: cos_sim_precision
+      value: 54.17666303162486
+    - type: cos_sim_recall
+      value: 65.54089709762533
+    - type: dot_accuracy
+      value: 82.32699529117244
+    - type: dot_ap
+      value: 61.49148139881723
+    - type: dot_f1
+      value: 59.31940298507462
+    - type: dot_precision
+      value: 54.17666303162486
+    - type: dot_recall
+      value: 65.54089709762533
+    - type: euclidean_accuracy
+      value: 82.32699529117244
+    - type: euclidean_ap
+      value: 61.49148139881723
+    - type: euclidean_f1
+      value: 59.31940298507462
+    - type: euclidean_precision
+      value: 54.17666303162486
+    - type: euclidean_recall
+      value: 65.54089709762533
+    - type: manhattan_accuracy
+      value: 82.44024557429815
+    - type: manhattan_ap
+      value: 61.57050440663527
+    - type: manhattan_f1
+      value: 59.36456916800594
+    - type: manhattan_precision
+      value: 55.8501977204001
+    - type: manhattan_recall
+      value: 63.35092348284961
+    - type: max_accuracy
+      value: 82.44024557429815
+    - type: max_ap
+      value: 61.57050440663527
+    - type: max_f1
+      value: 59.36456916800594
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.70714479760935
+    - type: cos_sim_ap
+      value: 83.52059059692118
+    - type: cos_sim_f1
+      value: 75.8043805261034
+    - type: cos_sim_precision
+      value: 72.40171000070083
+    - type: cos_sim_recall
+      value: 79.54265475823837
+    - type: dot_accuracy
+      value: 87.70714479760935
+    - type: dot_ap
+      value: 83.52059016767844
+    - type: dot_f1
+      value: 75.8043805261034
+    - type: dot_precision
+      value: 72.40171000070083
+    - type: dot_recall
+      value: 79.54265475823837
+    - type: euclidean_accuracy
+      value: 87.70714479760935
+    - type: euclidean_ap
+      value: 83.52059046795347
+    - type: euclidean_f1
+      value: 75.8043805261034
+    - type: euclidean_precision
+      value: 72.40171000070083
+    - type: euclidean_recall
+      value: 79.54265475823837
+    - type: manhattan_accuracy
+      value: 87.7187875965382
+    - type: manhattan_ap
+      value: 83.5377383098018
+    - type: manhattan_f1
+      value: 75.87021520062012
+    - type: manhattan_precision
+      value: 72.87102035028008
+    - type: manhattan_recall
+      value: 79.12688635663689
+    - type: max_accuracy
+      value: 87.7187875965382
+    - type: max_ap
+      value: 83.5377383098018
+    - type: max_f1
+      value: 75.87021520062012
+---