Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: nomic_classification_nignore50
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 73.34328358208954
+    - type: ap
+      value: 35.68453876944336
+    - type: f1
+      value: 67.06992889373645
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 59.672925
+    - type: ap
+      value: 55.848120844301974
+    - type: f1
+      value: 59.45636290076794
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 30.610000000000003
+    - type: f1
+      value: 30.300316542261875
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 20.697
+    - type: map_at_10
+      value: 35.189
+    - type: map_at_100
+      value: 36.4
+    - type: map_at_1000
+      value: 36.425000000000004
+    - type: map_at_3
+      value: 30.714000000000002
+    - type: map_at_5
+      value: 32.918
+    - type: mrr_at_1
+      value: 21.337
+    - type: mrr_at_10
+      value: 35.424
+    - type: mrr_at_100
+      value: 36.634
+    - type: mrr_at_1000
+      value: 36.659000000000006
+    - type: mrr_at_3
+      value: 30.927
+    - type: mrr_at_5
+      value: 33.132
+    - type: ndcg_at_1
+      value: 20.697
+    - type: ndcg_at_10
+      value: 43.525999999999996
+    - type: ndcg_at_100
+      value: 48.978
+    - type: ndcg_at_1000
+      value: 49.527
+    - type: ndcg_at_3
+      value: 34.087
+    - type: ndcg_at_5
+      value: 38.080999999999996
+    - type: precision_at_1
+      value: 20.697
+    - type: precision_at_10
+      value: 7.034
+    - type: precision_at_100
+      value: 0.9490000000000001
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 14.628
+    - type: precision_at_5
+      value: 10.725
+    - type: recall_at_1
+      value: 20.697
+    - type: recall_at_10
+      value: 70.341
+    - type: recall_at_100
+      value: 94.879
+    - type: recall_at_1000
+      value: 99.004
+    - type: recall_at_3
+      value: 43.883
+    - type: recall_at_5
+      value: 53.627
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 35.49094114007186
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 24.389506327986794
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 54.325008936884444
+    - type: mrr
+      value: 69.04992745020445
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.44469574569193
+    - type: cos_sim_spearman
+      value: 80.2397801250519
+    - type: euclidean_pearson
+      value: 82.22256751323195
+    - type: euclidean_spearman
+      value: 80.2397801250519
+    - type: manhattan_pearson
+      value: 81.55829597082581
+    - type: manhattan_spearman
+      value: 79.90603758074258
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 71.56818181818181
+    - type: f1
+      value: 70.79234518018967
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 32.120028817225204
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 23.27141125132152
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 22.482
+    - type: map_at_10
+      value: 29.986
+    - type: map_at_100
+      value: 31.19
+    - type: map_at_1000
+      value: 31.339
+    - type: map_at_3
+      value: 27.869
+    - type: map_at_5
+      value: 28.83
+    - type: mrr_at_1
+      value: 28.326
+    - type: mrr_at_10
+      value: 35.675000000000004
+    - type: mrr_at_100
+      value: 36.559000000000005
+    - type: mrr_at_1000
+      value: 36.632999999999996
+    - type: mrr_at_3
+      value: 34.049
+    - type: mrr_at_5
+      value: 34.8
+    - type: ndcg_at_1
+      value: 28.326
+    - type: ndcg_at_10
+      value: 34.788000000000004
+    - type: ndcg_at_100
+      value: 40.162
+    - type: ndcg_at_1000
+      value: 43.145
+    - type: ndcg_at_3
+      value: 31.903
+    - type: ndcg_at_5
+      value: 32.74
+    - type: precision_at_1
+      value: 28.326
+    - type: precision_at_10
+      value: 6.552
+    - type: precision_at_100
+      value: 1.146
+    - type: precision_at_1000
+      value: 0.17099999999999999
+    - type: precision_at_3
+      value: 15.451
+    - type: precision_at_5
+      value: 10.644
+    - type: recall_at_1
+      value: 22.482
+    - type: recall_at_10
+      value: 42.995
+    - type: recall_at_100
+      value: 66.79899999999999
+    - type: recall_at_1000
+      value: 87.02600000000001
+    - type: recall_at_3
+      value: 33.495999999999995
+    - type: recall_at_5
+      value: 36.7
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 17.147000000000002
+    - type: map_at_10
+      value: 23.28
+    - type: map_at_100
+      value: 24.191
+    - type: map_at_1000
+      value: 24.309
+    - type: map_at_3
+      value: 21.542
+    - type: map_at_5
+      value: 22.486
+    - type: mrr_at_1
+      value: 21.529
+    - type: mrr_at_10
+      value: 27.366
+    - type: mrr_at_100
+      value: 28.138
+    - type: mrr_at_1000
+      value: 28.206999999999997
+    - type: mrr_at_3
+      value: 25.668999999999997
+    - type: mrr_at_5
+      value: 26.653
+    - type: ndcg_at_1
+      value: 21.529
+    - type: ndcg_at_10
+      value: 27.107999999999997
+    - type: ndcg_at_100
+      value: 31.381999999999998
+    - type: ndcg_at_1000
+      value: 34.050000000000004
+    - type: ndcg_at_3
+      value: 24.101
+    - type: ndcg_at_5
+      value: 25.465
+    - type: precision_at_1
+      value: 21.529
+    - type: precision_at_10
+      value: 4.9430000000000005
+    - type: precision_at_100
+      value: 0.8829999999999999
+    - type: precision_at_1000
+      value: 0.136
+    - type: precision_at_3
+      value: 11.591999999999999
+    - type: precision_at_5
+      value: 8.153
+    - type: recall_at_1
+      value: 17.147000000000002
+    - type: recall_at_10
+      value: 34.510000000000005
+    - type: recall_at_100
+      value: 53.337999999999994
+    - type: recall_at_1000
+      value: 71.25200000000001
+    - type: recall_at_3
+      value: 25.711000000000002
+    - type: recall_at_5
+      value: 29.448999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 25.628
+    - type: map_at_10
+      value: 34.53
+    - type: map_at_100
+      value: 35.648
+    - type: map_at_1000
+      value: 35.746
+    - type: map_at_3
+      value: 32.001000000000005
+    - type: map_at_5
+      value: 33.516
+    - type: mrr_at_1
+      value: 29.842999999999996
+    - type: mrr_at_10
+      value: 37.679
+    - type: mrr_at_100
+      value: 38.607
+    - type: mrr_at_1000
+      value: 38.671
+    - type: mrr_at_3
+      value: 35.528
+    - type: mrr_at_5
+      value: 36.747
+    - type: ndcg_at_1
+      value: 29.842999999999996
+    - type: ndcg_at_10
+      value: 39.271
+    - type: ndcg_at_100
+      value: 44.507000000000005
+    - type: ndcg_at_1000
+      value: 46.79
+    - type: ndcg_at_3
+      value: 34.699999999999996
+    - type: ndcg_at_5
+      value: 37.032
+    - type: precision_at_1
+      value: 29.842999999999996
+    - type: precision_at_10
+      value: 6.3759999999999994
+    - type: precision_at_100
+      value: 0.989
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 15.507000000000001
+    - type: precision_at_5
+      value: 10.871
+    - type: recall_at_1
+      value: 25.628
+    - type: recall_at_10
+      value: 50.552
+    - type: recall_at_100
+      value: 74.008
+    - type: recall_at_1000
+      value: 90.518
+    - type: recall_at_3
+      value: 38.397
+    - type: recall_at_5
+      value: 44.052
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 13.07
+    - type: map_at_10
+      value: 17.630000000000003
+    - type: map_at_100
+      value: 18.502
+    - type: map_at_1000
+      value: 18.614
+    - type: map_at_3
+      value: 16.213
+    - type: map_at_5
+      value: 17.029
+    - type: mrr_at_1
+      value: 14.124
+    - type: mrr_at_10
+      value: 18.706999999999997
+    - type: mrr_at_100
+      value: 19.604
+    - type: mrr_at_1000
+      value: 19.705000000000002
+    - type: mrr_at_3
+      value: 17.326
+    - type: mrr_at_5
+      value: 18.099999999999998
+    - type: ndcg_at_1
+      value: 14.124
+    - type: ndcg_at_10
+      value: 20.368
+    - type: ndcg_at_100
+      value: 25.020999999999997
+    - type: ndcg_at_1000
+      value: 28.360000000000003
+    - type: ndcg_at_3
+      value: 17.518
+    - type: ndcg_at_5
+      value: 18.914
+    - type: precision_at_1
+      value: 14.124
+    - type: precision_at_10
+      value: 3.164
+    - type: precision_at_100
+      value: 0.577
+    - type: precision_at_1000
+      value: 0.092
+    - type: precision_at_3
+      value: 7.457999999999999
+    - type: precision_at_5
+      value: 5.266
+    - type: recall_at_1
+      value: 13.07
+    - type: recall_at_10
+      value: 27.811000000000003
+    - type: recall_at_100
+      value: 49.874
+    - type: recall_at_1000
+      value: 75.786
+    - type: recall_at_3
+      value: 20.06
+    - type: recall_at_5
+      value: 23.397000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 6.646000000000001
+    - type: map_at_10
+      value: 10.141
+    - type: map_at_100
+      value: 10.9
+    - type: map_at_1000
+      value: 11.036999999999999
+    - type: map_at_3
+      value: 8.781
+    - type: map_at_5
+      value: 9.581000000000001
+    - type: mrr_at_1
+      value: 8.333
+    - type: mrr_at_10
+      value: 12.504000000000001
+    - type: mrr_at_100
+      value: 13.331000000000001
+    - type: mrr_at_1000
+      value: 13.435
+    - type: mrr_at_3
+      value: 11.007
+    - type: mrr_at_5
+      value: 11.909
+    - type: ndcg_at_1
+      value: 8.333
+    - type: ndcg_at_10
+      value: 12.796
+    - type: ndcg_at_100
+      value: 17.115
+    - type: ndcg_at_1000
+      value: 20.84
+    - type: ndcg_at_3
+      value: 10.171
+    - type: ndcg_at_5
+      value: 11.496
+    - type: precision_at_1
+      value: 8.333
+    - type: precision_at_10
+      value: 2.5
+    - type: precision_at_100
+      value: 0.5519999999999999
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 5.017
+    - type: precision_at_5
+      value: 3.955
+    - type: recall_at_1
+      value: 6.646000000000001
+    - type: recall_at_10
+      value: 18.725
+    - type: recall_at_100
+      value: 38.590999999999994
+    - type: recall_at_1000
+      value: 65.955
+    - type: recall_at_3
+      value: 11.376999999999999
+    - type: recall_at_5
+      value: 14.673
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 17.865000000000002
+    - type: map_at_10
+      value: 23.877000000000002
+    - type: map_at_100
+      value: 25.058000000000003
+    - type: map_at_1000
+      value: 25.202999999999996
+    - type: map_at_3
+      value: 21.861
+    - type: map_at_5
+      value: 22.958000000000002
+    - type: mrr_at_1
+      value: 22.137
+    - type: mrr_at_10
+      value: 28.391
+    - type: mrr_at_100
+      value: 29.364
+    - type: mrr_at_1000
+      value: 29.454
+    - type: mrr_at_3
+      value: 26.372
+    - type: mrr_at_5
+      value: 27.551
+    - type: ndcg_at_1
+      value: 22.137
+    - type: ndcg_at_10
+      value: 28.183999999999997
+    - type: ndcg_at_100
+      value: 33.806000000000004
+    - type: ndcg_at_1000
+      value: 37.099
+    - type: ndcg_at_3
+      value: 24.621000000000002
+    - type: ndcg_at_5
+      value: 26.235000000000003
+    - type: precision_at_1
+      value: 22.137
+    - type: precision_at_10
+      value: 5.178
+    - type: precision_at_100
+      value: 0.9440000000000001
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 11.613999999999999
+    - type: precision_at_5
+      value: 8.373
+    - type: recall_at_1
+      value: 17.865000000000002
+    - type: recall_at_10
+      value: 36.885
+    - type: recall_at_100
+      value: 61.49400000000001
+    - type: recall_at_1000
+      value: 84.309
+    - type: recall_at_3
+      value: 26.51
+    - type: recall_at_5
+      value: 30.788
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 13.691999999999998
+    - type: map_at_10
+      value: 19.463
+    - type: map_at_100
+      value: 20.558
+    - type: map_at_1000
+      value: 20.703
+    - type: map_at_3
+      value: 17.277
+    - type: map_at_5
+      value: 18.607000000000003
+    - type: mrr_at_1
+      value: 16.895
+    - type: mrr_at_10
+      value: 22.939999999999998
+    - type: mrr_at_100
+      value: 23.902
+    - type: mrr_at_1000
+      value: 23.993000000000002
+    - type: mrr_at_3
+      value: 20.89
+    - type: mrr_at_5
+      value: 22.158
+    - type: ndcg_at_1
+      value: 16.895
+    - type: ndcg_at_10
+      value: 23.308
+    - type: ndcg_at_100
+      value: 28.675
+    - type: ndcg_at_1000
+      value: 32.156
+    - type: ndcg_at_3
+      value: 19.53
+    - type: ndcg_at_5
+      value: 21.519
+    - type: precision_at_1
+      value: 16.895
+    - type: precision_at_10
+      value: 4.417999999999999
+    - type: precision_at_100
+      value: 0.844
+    - type: precision_at_1000
+      value: 0.134
+    - type: precision_at_3
+      value: 9.399000000000001
+    - type: precision_at_5
+      value: 7.146
+    - type: recall_at_1
+      value: 13.691999999999998
+    - type: recall_at_10
+      value: 31.424000000000003
+    - type: recall_at_100
+      value: 55.223
+    - type: recall_at_1000
+      value: 79.842
+    - type: recall_at_3
+      value: 20.949
+    - type: recall_at_5
+      value: 26.166
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 14.61475
+    - type: map_at_10
+      value: 19.97075
+    - type: map_at_100
+      value: 20.916083333333333
+    - type: map_at_1000
+      value: 21.046
+    - type: map_at_3
+      value: 18.229250000000004
+    - type: map_at_5
+      value: 19.20266666666667
+    - type: mrr_at_1
+      value: 17.608083333333333
+    - type: mrr_at_10
+      value: 23.027083333333334
+    - type: mrr_at_100
+      value: 23.87941666666667
+    - type: mrr_at_1000
+      value: 23.96783333333333
+    - type: mrr_at_3
+      value: 21.377083333333335
+    - type: mrr_at_5
+      value: 22.300833333333333
+    - type: ndcg_at_1
+      value: 17.608083333333333
+    - type: ndcg_at_10
+      value: 23.473083333333335
+    - type: ndcg_at_100
+      value: 28.176750000000002
+    - type: ndcg_at_1000
+      value: 31.36625
+    - type: ndcg_at_3
+      value: 20.38383333333334
+    - type: ndcg_at_5
+      value: 21.82283333333333
+    - type: precision_at_1
+      value: 17.608083333333333
+    - type: precision_at_10
+      value: 4.162666666666666
+    - type: precision_at_100
+      value: 0.7761666666666668
+    - type: precision_at_1000
+      value: 0.12325000000000001
+    - type: precision_at_3
+      value: 9.466000000000001
+    - type: precision_at_5
+      value: 6.79
+    - type: recall_at_1
+      value: 14.61475
+    - type: recall_at_10
+      value: 31.009500000000003
+    - type: recall_at_100
+      value: 52.470000000000006
+    - type: recall_at_1000
+      value: 75.52175
+    - type: recall_at_3
+      value: 22.22875
+    - type: recall_at_5
+      value: 26.018083333333337
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 11.016
+    - type: map_at_10
+      value: 15.293999999999999
+    - type: map_at_100
+      value: 16.08
+    - type: map_at_1000
+      value: 16.177
+    - type: map_at_3
+      value: 13.898
+    - type: map_at_5
+      value: 14.637
+    - type: mrr_at_1
+      value: 12.883
+    - type: mrr_at_10
+      value: 17.279
+    - type: mrr_at_100
+      value: 18.082
+    - type: mrr_at_1000
+      value: 18.169
+    - type: mrr_at_3
+      value: 15.9
+    - type: mrr_at_5
+      value: 16.667
+    - type: ndcg_at_1
+      value: 12.883
+    - type: ndcg_at_10
+      value: 18.073
+    - type: ndcg_at_100
+      value: 22.142
+    - type: ndcg_at_1000
+      value: 24.887999999999998
+    - type: ndcg_at_3
+      value: 15.405
+    - type: ndcg_at_5
+      value: 16.622999999999998
+    - type: precision_at_1
+      value: 12.883
+    - type: precision_at_10
+      value: 3.052
+    - type: precision_at_100
+      value: 0.5519999999999999
+    - type: precision_at_1000
+      value: 0.086
+    - type: precision_at_3
+      value: 7.0040000000000004
+    - type: precision_at_5
+      value: 4.939
+    - type: recall_at_1
+      value: 11.016
+    - type: recall_at_10
+      value: 24.72
+    - type: recall_at_100
+      value: 43.553999999999995
+    - type: recall_at_1000
+      value: 64.189
+    - type: recall_at_3
+      value: 17.308
+    - type: recall_at_5
+      value: 20.455000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 7.148000000000001
+    - type: map_at_10
+      value: 10.878
+    - type: map_at_100
+      value: 11.547
+    - type: map_at_1000
+      value: 11.67
+    - type: map_at_3
+      value: 9.679
+    - type: map_at_5
+      value: 10.41
+    - type: mrr_at_1
+      value: 8.878
+    - type: mrr_at_10
+      value: 13.142999999999999
+    - type: mrr_at_100
+      value: 13.825999999999999
+    - type: mrr_at_1000
+      value: 13.927999999999999
+    - type: mrr_at_3
+      value: 11.786000000000001
+    - type: mrr_at_5
+      value: 12.623999999999999
+    - type: ndcg_at_1
+      value: 8.878
+    - type: ndcg_at_10
+      value: 13.414000000000001
+    - type: ndcg_at_100
+      value: 17.129
+    - type: ndcg_at_1000
+      value: 20.754
+    - type: ndcg_at_3
+      value: 11.135
+    - type: ndcg_at_5
+      value: 12.333
+    - type: precision_at_1
+      value: 8.878
+    - type: precision_at_10
+      value: 2.564
+    - type: precision_at_100
+      value: 0.525
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 5.448
+    - type: precision_at_5
+      value: 4.136
+    - type: recall_at_1
+      value: 7.148000000000001
+    - type: recall_at_10
+      value: 18.875
+    - type: recall_at_100
+      value: 36.321999999999996
+    - type: recall_at_1000
+      value: 63.273999999999994
+    - type: recall_at_3
+      value: 12.590000000000002
+    - type: recall_at_5
+      value: 15.6
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 13.178
+    - type: map_at_10
+      value: 17.538
+    - type: map_at_100
+      value: 18.343999999999998
+    - type: map_at_1000
+      value: 18.462999999999997
+    - type: map_at_3
+      value: 15.984000000000002
+    - type: map_at_5
+      value: 16.78
+    - type: mrr_at_1
+      value: 15.672
+    - type: mrr_at_10
+      value: 20.385
+    - type: mrr_at_100
+      value: 21.160999999999998
+    - type: mrr_at_1000
+      value: 21.252
+    - type: mrr_at_3
+      value: 18.766
+    - type: mrr_at_5
+      value: 19.554
+    - type: ndcg_at_1
+      value: 15.672
+    - type: ndcg_at_10
+      value: 20.785
+    - type: ndcg_at_100
+      value: 25.089
+    - type: ndcg_at_1000
+      value: 28.396
+    - type: ndcg_at_3
+      value: 17.701
+    - type: ndcg_at_5
+      value: 18.968
+    - type: precision_at_1
+      value: 15.672
+    - type: precision_at_10
+      value: 3.5069999999999997
+    - type: precision_at_100
+      value: 0.633
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 8.022
+    - type: precision_at_5
+      value: 5.634
+    - type: recall_at_1
+      value: 13.178
+    - type: recall_at_10
+      value: 28.227999999999998
+    - type: recall_at_100
+      value: 48.022999999999996
+    - type: recall_at_1000
+      value: 72.475
+    - type: recall_at_3
+      value: 19.425
+    - type: recall_at_5
+      value: 22.783
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.662999999999998
+    - type: map_at_10
+      value: 21.191
+    - type: map_at_100
+      value: 22.436
+    - type: map_at_1000
+      value: 22.634999999999998
+    - type: map_at_3
+      value: 19.493
+    - type: map_at_5
+      value: 20.543
+    - type: mrr_at_1
+      value: 19.368
+    - type: mrr_at_10
+      value: 24.866
+    - type: mrr_at_100
+      value: 25.875999999999998
+    - type: mrr_at_1000
+      value: 25.958
+    - type: mrr_at_3
+      value: 23.551
+    - type: mrr_at_5
+      value: 24.233
+    - type: ndcg_at_1
+      value: 19.368
+    - type: ndcg_at_10
+      value: 24.869
+    - type: ndcg_at_100
+      value: 30.54
+    - type: ndcg_at_1000
+      value: 33.994
+    - type: ndcg_at_3
+      value: 22.522000000000002
+    - type: ndcg_at_5
+      value: 23.674
+    - type: precision_at_1
+      value: 19.368
+    - type: precision_at_10
+      value: 4.704
+    - type: precision_at_100
+      value: 1.1400000000000001
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 10.671999999999999
+    - type: precision_at_5
+      value: 7.668
+    - type: recall_at_1
+      value: 15.662999999999998
+    - type: recall_at_10
+      value: 31.03
+    - type: recall_at_100
+      value: 57.861
+    - type: recall_at_1000
+      value: 81.179
+    - type: recall_at_3
+      value: 23.843
+    - type: recall_at_5
+      value: 27.223999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 11.842
+    - type: map_at_10
+      value: 15.841
+    - type: map_at_100
+      value: 16.539
+    - type: map_at_1000
+      value: 16.656000000000002
+    - type: map_at_3
+      value: 14.152999999999999
+    - type: map_at_5
+      value: 15.055
+    - type: mrr_at_1
+      value: 13.309000000000001
+    - type: mrr_at_10
+      value: 17.39
+    - type: mrr_at_100
+      value: 18.102999999999998
+    - type: mrr_at_1000
+      value: 18.209
+    - type: mrr_at_3
+      value: 15.681000000000001
+    - type: mrr_at_5
+      value: 16.614
+    - type: ndcg_at_1
+      value: 13.309000000000001
+    - type: ndcg_at_10
+      value: 18.712999999999997
+    - type: ndcg_at_100
+      value: 22.553
+    - type: ndcg_at_1000
+      value: 25.923000000000002
+    - type: ndcg_at_3
+      value: 15.299
+    - type: ndcg_at_5
+      value: 16.875
+    - type: precision_at_1
+      value: 13.309000000000001
+    - type: precision_at_10
+      value: 2.994
+    - type: precision_at_100
+      value: 0.529
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_3
+      value: 6.4079999999999995
+    - type: precision_at_5
+      value: 4.695
+    - type: recall_at_1
+      value: 11.842
+    - type: recall_at_10
+      value: 26.358999999999998
+    - type: recall_at_100
+      value: 44.553
+    - type: recall_at_1000
+      value: 70.456
+    - type: recall_at_3
+      value: 17.079
+    - type: recall_at_5
+      value: 20.93
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 6.841
+    - type: map_at_10
+      value: 11.955
+    - type: map_at_100
+      value: 13.322000000000001
+    - type: map_at_1000
+      value: 13.517000000000001
+    - type: map_at_3
+      value: 9.818
+    - type: map_at_5
+      value: 10.875
+    - type: mrr_at_1
+      value: 15.504999999999999
+    - type: mrr_at_10
+      value: 24.087
+    - type: mrr_at_100
+      value: 25.149
+    - type: mrr_at_1000
+      value: 25.221
+    - type: mrr_at_3
+      value: 20.923
+    - type: mrr_at_5
+      value: 22.64
+    - type: ndcg_at_1
+      value: 15.504999999999999
+    - type: ndcg_at_10
+      value: 17.787
+    - type: ndcg_at_100
+      value: 24.032
+    - type: ndcg_at_1000
+      value: 28.058
+    - type: ndcg_at_3
+      value: 13.729
+    - type: ndcg_at_5
+      value: 15.165999999999999
+    - type: precision_at_1
+      value: 15.504999999999999
+    - type: precision_at_10
+      value: 5.811
+    - type: precision_at_100
+      value: 1.246
+    - type: precision_at_1000
+      value: 0.197
+    - type: precision_at_3
+      value: 10.228
+    - type: precision_at_5
+      value: 8.155999999999999
+    - type: recall_at_1
+      value: 6.841
+    - type: recall_at_10
+      value: 22.451999999999998
+    - type: recall_at_100
+      value: 44.588
+    - type: recall_at_1000
+      value: 67.806
+    - type: recall_at_3
+      value: 12.824
+    - type: recall_at_5
+      value: 16.59
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 4.601999999999999
+    - type: map_at_10
+      value: 10.209
+    - type: map_at_100
+      value: 14.172
+    - type: map_at_1000
+      value: 15.121
+    - type: map_at_3
+      value: 7.59
+    - type: map_at_5
+      value: 8.853
+    - type: mrr_at_1
+      value: 41.75
+    - type: mrr_at_10
+      value: 51.949
+    - type: mrr_at_100
+      value: 52.678000000000004
+    - type: mrr_at_1000
+      value: 52.708
+    - type: mrr_at_3
+      value: 49.542
+    - type: mrr_at_5
+      value: 51.054
+    - type: ndcg_at_1
+      value: 31.125000000000004
+    - type: ndcg_at_10
+      value: 24.581
+    - type: ndcg_at_100
+      value: 27.894999999999996
+    - type: ndcg_at_1000
+      value: 34.438
+    - type: ndcg_at_3
+      value: 27.877999999999997
+    - type: ndcg_at_5
+      value: 26.273000000000003
+    - type: precision_at_1
+      value: 41.75
+    - type: precision_at_10
+      value: 21.15
+    - type: precision_at_100
+      value: 6.787999999999999
+    - type: precision_at_1000
+      value: 1.394
+    - type: precision_at_3
+      value: 32.917
+    - type: precision_at_5
+      value: 28.000000000000004
+    - type: recall_at_1
+      value: 4.601999999999999
+    - type: recall_at_10
+      value: 14.434
+    - type: recall_at_100
+      value: 33.838
+    - type: recall_at_1000
+      value: 56.438
+    - type: recall_at_3
+      value: 9.073
+    - type: recall_at_5
+      value: 11.395
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 43.364999999999995
+    - type: f1
+      value: 41.05024359810464
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 17.078
+    - type: map_at_10
+      value: 25.590000000000003
+    - type: map_at_100
+      value: 26.581
+    - type: map_at_1000
+      value: 26.651000000000003
+    - type: map_at_3
+      value: 23.113
+    - type: map_at_5
+      value: 24.457
+    - type: mrr_at_1
+      value: 18.257
+    - type: mrr_at_10
+      value: 27.171
+    - type: mrr_at_100
+      value: 28.147
+    - type: mrr_at_1000
+      value: 28.206999999999997
+    - type: mrr_at_3
+      value: 24.607
+    - type: mrr_at_5
+      value: 26.005
+    - type: ndcg_at_1
+      value: 18.257
+    - type: ndcg_at_10
+      value: 30.617
+    - type: ndcg_at_100
+      value: 35.625
+    - type: ndcg_at_1000
+      value: 37.566
+    - type: ndcg_at_3
+      value: 25.488
+    - type: ndcg_at_5
+      value: 27.897
+    - type: precision_at_1
+      value: 18.257
+    - type: precision_at_10
+      value: 4.877
+    - type: precision_at_100
+      value: 0.76
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 11.081000000000001
+    - type: precision_at_5
+      value: 7.933
+    - type: recall_at_1
+      value: 17.078
+    - type: recall_at_10
+      value: 44.866
+    - type: recall_at_100
+      value: 68.148
+    - type: recall_at_1000
+      value: 83.134
+    - type: recall_at_3
+      value: 30.830999999999996
+    - type: recall_at_5
+      value: 36.629
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 7.515
+    - type: map_at_10
+      value: 11.788
+    - type: map_at_100
+      value: 12.974
+    - type: map_at_1000
+      value: 13.177
+    - type: map_at_3
+      value: 9.844
+    - type: map_at_5
+      value: 10.8
+    - type: mrr_at_1
+      value: 14.352
+    - type: mrr_at_10
+      value: 20.134
+    - type: mrr_at_100
+      value: 21.288
+    - type: mrr_at_1000
+      value: 21.384
+    - type: mrr_at_3
+      value: 18.133
+    - type: mrr_at_5
+      value: 19.097
+    - type: ndcg_at_1
+      value: 14.352
+    - type: ndcg_at_10
+      value: 16.203
+    - type: ndcg_at_100
+      value: 21.891
+    - type: ndcg_at_1000
+      value: 26.653
+    - type: ndcg_at_3
+      value: 13.369
+    - type: ndcg_at_5
+      value: 14.327000000000002
+    - type: precision_at_1
+      value: 14.352
+    - type: precision_at_10
+      value: 4.645
+    - type: precision_at_100
+      value: 1.028
+    - type: precision_at_1000
+      value: 0.185
+    - type: precision_at_3
+      value: 8.796
+    - type: precision_at_5
+      value: 6.728000000000001
+    - type: recall_at_1
+      value: 7.515
+    - type: recall_at_10
+      value: 21.018
+    - type: recall_at_100
+      value: 42.887
+    - type: recall_at_1000
+      value: 72.898
+    - type: recall_at_3
+      value: 12.215
+    - type: recall_at_5
+      value: 15.612
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 18.332
+    - type: map_at_10
+      value: 25.791999999999998
+    - type: map_at_100
+      value: 26.706999999999997
+    - type: map_at_1000
+      value: 26.810000000000002
+    - type: map_at_3
+      value: 23.742
+    - type: map_at_5
+      value: 24.903
+    - type: mrr_at_1
+      value: 36.664
+    - type: mrr_at_10
+      value: 44.067
+    - type: mrr_at_100
+      value: 44.756
+    - type: mrr_at_1000
+      value: 44.806000000000004
+    - type: mrr_at_3
+      value: 42.091
+    - type: mrr_at_5
+      value: 43.206
+    - type: ndcg_at_1
+      value: 36.664
+    - type: ndcg_at_10
+      value: 32.938
+    - type: ndcg_at_100
+      value: 37.184
+    - type: ndcg_at_1000
+      value: 39.723000000000006
+    - type: ndcg_at_3
+      value: 29.087000000000003
+    - type: ndcg_at_5
+      value: 30.986000000000004
+    - type: precision_at_1
+      value: 36.664
+    - type: precision_at_10
+      value: 7.245
+    - type: precision_at_100
+      value: 1.0670000000000002
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 18.37
+    - type: precision_at_5
+      value: 12.527
+    - type: recall_at_1
+      value: 18.332
+    - type: recall_at_10
+      value: 36.226
+    - type: recall_at_100
+      value: 53.342
+    - type: recall_at_1000
+      value: 70.42500000000001
+    - type: recall_at_3
+      value: 27.556000000000004
+    - type: recall_at_5
+      value: 31.317
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 58.64719999999999
+    - type: ap
+      value: 55.19966477229678
+    - type: f1
+      value: 58.24961396114563
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 6.459
+    - type: map_at_10
+      value: 11.254999999999999
+    - type: map_at_100
+      value: 12.132
+    - type: map_at_1000
+      value: 12.237
+    - type: map_at_3
+      value: 9.522
+    - type: map_at_5
+      value: 10.456999999999999
+    - type: mrr_at_1
+      value: 6.633
+    - type: mrr_at_10
+      value: 11.518
+    - type: mrr_at_100
+      value: 12.395
+    - type: mrr_at_1000
+      value: 12.497
+    - type: mrr_at_3
+      value: 9.751999999999999
+    - type: mrr_at_5
+      value: 10.708
+    - type: ndcg_at_1
+      value: 6.59
+    - type: ndcg_at_10
+      value: 14.264
+    - type: ndcg_at_100
+      value: 19.070999999999998
+    - type: ndcg_at_1000
+      value: 22.235
+    - type: ndcg_at_3
+      value: 10.631
+    - type: ndcg_at_5
+      value: 12.339
+    - type: precision_at_1
+      value: 6.59
+    - type: precision_at_10
+      value: 2.461
+    - type: precision_at_100
+      value: 0.496
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_3
+      value: 4.6850000000000005
+    - type: precision_at_5
+      value: 3.6790000000000003
+    - type: recall_at_1
+      value: 6.459
+    - type: recall_at_10
+      value: 23.649
+    - type: recall_at_100
+      value: 47.13
+    - type: recall_at_1000
+      value: 72.51100000000001
+    - type: recall_at_3
+      value: 13.641
+    - type: recall_at_5
+      value: 17.787
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 85.75695394436845
+    - type: f1
+      value: 84.39448911327825
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 54.072047423620596
+    - type: f1
+      value: 36.95943939246465
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 58.78614660390047
+    - type: f1
+      value: 57.44347017992026
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 64.28379287155346
+    - type: f1
+      value: 62.76816678345901
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 29.671378352049466
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 25.86783118767072
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 29.346696390536565
+    - type: mrr
+      value: 30.303238754879626
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 3.9190000000000005
+    - type: map_at_10
+      value: 8.742999999999999
+    - type: map_at_100
+      value: 11.073
+    - type: map_at_1000
+      value: 12.447999999999999
+    - type: map_at_3
+      value: 6.2379999999999995
+    - type: map_at_5
+      value: 7.443
+    - type: mrr_at_1
+      value: 34.365
+    - type: mrr_at_10
+      value: 44.238
+    - type: mrr_at_100
+      value: 44.857
+    - type: mrr_at_1000
+      value: 44.91
+    - type: mrr_at_3
+      value: 41.744
+    - type: mrr_at_5
+      value: 43.478
+    - type: ndcg_at_1
+      value: 32.353
+    - type: ndcg_at_10
+      value: 26.695
+    - type: ndcg_at_100
+      value: 24.728
+    - type: ndcg_at_1000
+      value: 34.013
+    - type: ndcg_at_3
+      value: 30.268
+    - type: ndcg_at_5
+      value: 28.95
+    - type: precision_at_1
+      value: 34.365
+    - type: precision_at_10
+      value: 20.31
+    - type: precision_at_100
+      value: 6.984999999999999
+    - type: precision_at_1000
+      value: 2.019
+    - type: precision_at_3
+      value: 28.896
+    - type: precision_at_5
+      value: 25.697
+    - type: recall_at_1
+      value: 3.9190000000000005
+    - type: recall_at_10
+      value: 13.046
+    - type: recall_at_100
+      value: 26.08
+    - type: recall_at_1000
+      value: 60.207
+    - type: recall_at_3
+      value: 7.255000000000001
+    - type: recall_at_5
+      value: 9.853000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 8.408
+    - type: map_at_10
+      value: 15.064
+    - type: map_at_100
+      value: 16.282
+    - type: map_at_1000
+      value: 16.384999999999998
+    - type: map_at_3
+      value: 12.605
+    - type: map_at_5
+      value: 13.866
+    - type: mrr_at_1
+      value: 9.589
+    - type: mrr_at_10
+      value: 16.598
+    - type: mrr_at_100
+      value: 17.716
+    - type: mrr_at_1000
+      value: 17.8
+    - type: mrr_at_3
+      value: 14.021
+    - type: mrr_at_5
+      value: 15.39
+    - type: ndcg_at_1
+      value: 9.589
+    - type: ndcg_at_10
+      value: 19.408
+    - type: ndcg_at_100
+      value: 25.549
+    - type: ndcg_at_1000
+      value: 28.344
+    - type: ndcg_at_3
+      value: 14.258000000000001
+    - type: ndcg_at_5
+      value: 16.549
+    - type: precision_at_1
+      value: 9.589
+    - type: precision_at_10
+      value: 3.711
+    - type: precision_at_100
+      value: 0.717
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 6.769
+    - type: precision_at_5
+      value: 5.359
+    - type: recall_at_1
+      value: 8.408
+    - type: recall_at_10
+      value: 31.442999999999998
+    - type: recall_at_100
+      value: 59.931
+    - type: recall_at_1000
+      value: 81.40899999999999
+    - type: recall_at_3
+      value: 17.654
+    - type: recall_at_5
+      value: 22.982
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 64.35600000000001
+    - type: map_at_10
+      value: 77.12400000000001
+    - type: map_at_100
+      value: 77.873
+    - type: map_at_1000
+      value: 77.905
+    - type: map_at_3
+      value: 74.18599999999999
+    - type: map_at_5
+      value: 76.00099999999999
+    - type: mrr_at_1
+      value: 74.22
+    - type: mrr_at_10
+      value: 81.326
+    - type: mrr_at_100
+      value: 81.54
+    - type: mrr_at_1000
+      value: 81.545
+    - type: mrr_at_3
+      value: 79.912
+    - type: mrr_at_5
+      value: 80.833
+    - type: ndcg_at_1
+      value: 74.26
+    - type: ndcg_at_10
+      value: 81.709
+    - type: ndcg_at_100
+      value: 83.688
+    - type: ndcg_at_1000
+      value: 84.029
+    - type: ndcg_at_3
+      value: 78.214
+    - type: ndcg_at_5
+      value: 80.07
+    - type: precision_at_1
+      value: 74.26
+    - type: precision_at_10
+      value: 12.334
+    - type: precision_at_100
+      value: 1.463
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 33.977000000000004
+    - type: precision_at_5
+      value: 22.442
+    - type: recall_at_1
+      value: 64.35600000000001
+    - type: recall_at_10
+      value: 90.50200000000001
+    - type: recall_at_100
+      value: 97.833
+    - type: recall_at_1000
+      value: 99.681
+    - type: recall_at_3
+      value: 80.426
+    - type: recall_at_5
+      value: 85.627
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 36.774788977863864
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 46.77683019813603
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.988
+    - type: map_at_10
+      value: 7.183000000000001
+    - type: map_at_100
+      value: 8.522
+    - type: map_at_1000
+      value: 8.769
+    - type: map_at_3
+      value: 5.29
+    - type: map_at_5
+      value: 6.249
+    - type: mrr_at_1
+      value: 14.7
+    - type: mrr_at_10
+      value: 22.526
+    - type: mrr_at_100
+      value: 23.749000000000002
+    - type: mrr_at_1000
+      value: 23.827
+    - type: mrr_at_3
+      value: 19.617
+    - type: mrr_at_5
+      value: 21.322
+    - type: ndcg_at_1
+      value: 14.7
+    - type: ndcg_at_10
+      value: 12.666
+    - type: ndcg_at_100
+      value: 18.999
+    - type: ndcg_at_1000
+      value: 24.060000000000002
+    - type: ndcg_at_3
+      value: 11.908000000000001
+    - type: ndcg_at_5
+      value: 10.517999999999999
+    - type: precision_at_1
+      value: 14.7
+    - type: precision_at_10
+      value: 6.59
+    - type: precision_at_100
+      value: 1.592
+    - type: precision_at_1000
+      value: 0.28200000000000003
+    - type: precision_at_3
+      value: 11.1
+    - type: precision_at_5
+      value: 9.28
+    - type: recall_at_1
+      value: 2.988
+    - type: recall_at_10
+      value: 13.361999999999998
+    - type: recall_at_100
+      value: 32.312999999999995
+    - type: recall_at_1000
+      value: 57.293000000000006
+    - type: recall_at_3
+      value: 6.768000000000001
+    - type: recall_at_5
+      value: 9.408
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 74.41889076801608
+    - type: cos_sim_spearman
+      value: 64.0943040174807
+    - type: euclidean_pearson
+      value: 68.82034211304835
+    - type: euclidean_spearman
+      value: 64.09442214998937
+    - type: manhattan_pearson
+      value: 67.28965034113492
+    - type: manhattan_spearman
+      value: 63.44420264246327
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 74.19404151109595
+    - type: cos_sim_spearman
+      value: 67.74306846452986
+    - type: euclidean_pearson
+      value: 70.18395120349778
+    - type: euclidean_spearman
+      value: 67.74435929212751
+    - type: manhattan_pearson
+      value: 68.00233535704764
+    - type: manhattan_spearman
+      value: 66.49484254678912
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.87296571665527
+    - type: cos_sim_spearman
+      value: 77.89561218206916
+    - type: euclidean_pearson
+      value: 77.69387561554153
+    - type: euclidean_spearman
+      value: 77.89564999542652
+    - type: manhattan_pearson
+      value: 77.2962286612409
+    - type: manhattan_spearman
+      value: 77.62183070015116
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.57868393517904
+    - type: cos_sim_spearman
+      value: 74.3463323181872
+    - type: euclidean_pearson
+      value: 76.34645562235912
+    - type: euclidean_spearman
+      value: 74.34632262739605
+    - type: manhattan_pearson
+      value: 75.18605845598414
+    - type: manhattan_spearman
+      value: 73.37658913779082
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.3634602887491
+    - type: cos_sim_spearman
+      value: 82.08782263146122
+    - type: euclidean_pearson
+      value: 81.98650592402285
+    - type: euclidean_spearman
+      value: 82.08782111739671
+    - type: manhattan_pearson
+      value: 81.3116524025808
+    - type: manhattan_spearman
+      value: 81.48861424628144
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.87657339764795
+    - type: cos_sim_spearman
+      value: 76.85063393951995
+    - type: euclidean_pearson
+      value: 76.4294473355708
+    - type: euclidean_spearman
+      value: 76.85118422928095
+    - type: manhattan_pearson
+      value: 76.64930860894692
+    - type: manhattan_spearman
+      value: 77.10013496496948
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.34326345648941
+    - type: cos_sim_spearman
+      value: 83.88446362725742
+    - type: euclidean_pearson
+      value: 83.46533085232362
+    - type: euclidean_spearman
+      value: 83.8853378609005
+    - type: manhattan_pearson
+      value: 83.1484584186202
+    - type: manhattan_spearman
+      value: 83.95137720105474
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.83321542257857
+    - type: cos_sim_spearman
+      value: 60.82336431262449
+    - type: euclidean_pearson
+      value: 63.11807243264151
+    - type: euclidean_spearman
+      value: 60.82336431262449
+    - type: manhattan_pearson
+      value: 62.08662855750554
+    - type: manhattan_spearman
+      value: 59.96327210016991
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.52565754458857
+    - type: cos_sim_spearman
+      value: 77.31638441143197
+    - type: euclidean_pearson
+      value: 78.14871856195552
+    - type: euclidean_spearman
+      value: 77.31637278095369
+    - type: manhattan_pearson
+      value: 77.18966645743699
+    - type: manhattan_spearman
+      value: 76.60273070312653
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 72.10656484834338
+    - type: mrr
+      value: 90.98610811846106
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 39.75
+    - type: map_at_10
+      value: 47.549
+    - type: map_at_100
+      value: 48.579
+    - type: map_at_1000
+      value: 48.653
+    - type: map_at_3
+      value: 45.135
+    - type: map_at_5
+      value: 46.444
+    - type: mrr_at_1
+      value: 42.0
+    - type: mrr_at_10
+      value: 49.418
+    - type: mrr_at_100
+      value: 50.253
+    - type: mrr_at_1000
+      value: 50.319
+    - type: mrr_at_3
+      value: 47.221999999999994
+    - type: mrr_at_5
+      value: 48.439
+    - type: ndcg_at_1
+      value: 42.0
+    - type: ndcg_at_10
+      value: 51.922999999999995
+    - type: ndcg_at_100
+      value: 56.607
+    - type: ndcg_at_1000
+      value: 58.3
+    - type: ndcg_at_3
+      value: 47.316
+    - type: ndcg_at_5
+      value: 49.446
+    - type: precision_at_1
+      value: 42.0
+    - type: precision_at_10
+      value: 7.066999999999999
+    - type: precision_at_100
+      value: 0.963
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_3
+      value: 18.556
+    - type: precision_at_5
+      value: 12.4
+    - type: recall_at_1
+      value: 39.75
+    - type: recall_at_10
+      value: 63.727999999999994
+    - type: recall_at_100
+      value: 84.983
+    - type: recall_at_1000
+      value: 97.8
+    - type: recall_at_3
+      value: 51.233
+    - type: recall_at_5
+      value: 56.494
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.77623762376237
+    - type: cos_sim_ap
+      value: 94.03474205524832
+    - type: cos_sim_f1
+      value: 88.17533129459734
+    - type: cos_sim_precision
+      value: 89.91683991683992
+    - type: cos_sim_recall
+      value: 86.5
+    - type: dot_accuracy
+      value: 99.77623762376237
+    - type: dot_ap
+      value: 94.03474205524832
+    - type: dot_f1
+      value: 88.17533129459734
+    - type: dot_precision
+      value: 89.91683991683992
+    - type: dot_recall
+      value: 86.5
+    - type: euclidean_accuracy
+      value: 99.77623762376237
+    - type: euclidean_ap
+      value: 94.03474205524832
+    - type: euclidean_f1
+      value: 88.17533129459734
+    - type: euclidean_precision
+      value: 89.91683991683992
+    - type: euclidean_recall
+      value: 86.5
+    - type: manhattan_accuracy
+      value: 99.77722772277228
+    - type: manhattan_ap
+      value: 94.18601558420747
+    - type: manhattan_f1
+      value: 88.37209302325581
+    - type: manhattan_precision
+      value: 91.44385026737967
+    - type: manhattan_recall
+      value: 85.5
+    - type: max_accuracy
+      value: 99.77722772277228
+    - type: max_ap
+      value: 94.18601558420747
+    - type: max_f1
+      value: 88.37209302325581
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 39.59223629185949
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 29.72427682478714
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 42.58781744864796
+    - type: mrr
+      value: 43.04660311094135
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.162875776593765
+    - type: cos_sim_spearman
+      value: 29.469578163520644
+    - type: dot_pearson
+      value: 29.16287568844527
+    - type: dot_spearman
+      value: 29.491226084003042
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.15
+    - type: map_at_10
+      value: 0.732
+    - type: map_at_100
+      value: 3.402
+    - type: map_at_1000
+      value: 8.562
+    - type: map_at_3
+      value: 0.311
+    - type: map_at_5
+      value: 0.45799999999999996
+    - type: mrr_at_1
+      value: 60.0
+    - type: mrr_at_10
+      value: 66.297
+    - type: mrr_at_100
+      value: 67.486
+    - type: mrr_at_1000
+      value: 67.495
+    - type: mrr_at_3
+      value: 64.667
+    - type: mrr_at_5
+      value: 65.567
+    - type: ndcg_at_1
+      value: 53.0
+    - type: ndcg_at_10
+      value: 39.839999999999996
+    - type: ndcg_at_100
+      value: 28.401
+    - type: ndcg_at_1000
+      value: 24.781
+    - type: ndcg_at_3
+      value: 45.173
+    - type: ndcg_at_5
+      value: 42.543
+    - type: precision_at_1
+      value: 57.99999999999999
+    - type: precision_at_10
+      value: 41.199999999999996
+    - type: precision_at_100
+      value: 29.299999999999997
+    - type: precision_at_1000
+      value: 12.06
+    - type: precision_at_3
+      value: 46.666999999999994
+    - type: precision_at_5
+      value: 44.0
+    - type: recall_at_1
+      value: 0.15
+    - type: recall_at_10
+      value: 0.928
+    - type: recall_at_100
+      value: 6.021
+    - type: recall_at_1000
+      value: 23.61
+    - type: recall_at_3
+      value: 0.332
+    - type: recall_at_5
+      value: 0.521
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 1.6969999999999998
+    - type: map_at_10
+      value: 7.6579999999999995
+    - type: map_at_100
+      value: 14.119000000000002
+    - type: map_at_1000
+      value: 15.695999999999998
+    - type: map_at_3
+      value: 3.599
+    - type: map_at_5
+      value: 5.076
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 43.033
+    - type: mrr_at_100
+      value: 43.957
+    - type: mrr_at_1000
+      value: 43.976
+    - type: mrr_at_3
+      value: 38.435
+    - type: mrr_at_5
+      value: 42.211
+    - type: ndcg_at_1
+      value: 24.490000000000002
+    - type: ndcg_at_10
+      value: 22.114
+    - type: ndcg_at_100
+      value: 35.583999999999996
+    - type: ndcg_at_1000
+      value: 46.697
+    - type: ndcg_at_3
+      value: 23.521
+    - type: ndcg_at_5
+      value: 23.363
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 20.408
+    - type: precision_at_100
+      value: 8.265
+    - type: precision_at_1000
+      value: 1.551
+    - type: precision_at_3
+      value: 25.169999999999998
+    - type: precision_at_5
+      value: 24.490000000000002
+    - type: recall_at_1
+      value: 1.6969999999999998
+    - type: recall_at_10
+      value: 14.554
+    - type: recall_at_100
+      value: 49.858000000000004
+    - type: recall_at_1000
+      value: 83.635
+    - type: recall_at_3
+      value: 4.822
+    - type: recall_at_5
+      value: 7.933
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 68.9474
+    - type: ap
+      value: 13.286323018191338
+    - type: f1
+      value: 52.98797630385014
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 47.993774759479344
+    - type: f1
+      value: 48.15808612169315
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 34.53065734021412
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.61906181081243
+    - type: cos_sim_ap
+      value: 61.91869955453384
+    - type: cos_sim_f1
+      value: 59.794798377475544
+    - type: cos_sim_precision
+      value: 54.57317073170732
+    - type: cos_sim_recall
+      value: 66.12137203166228
+    - type: dot_accuracy
+      value: 82.61906181081243
+    - type: dot_ap
+      value: 61.91869955453384
+    - type: dot_f1
+      value: 59.794798377475544
+    - type: dot_precision
+      value: 54.57317073170732
+    - type: dot_recall
+      value: 66.12137203166228
+    - type: euclidean_accuracy
+      value: 82.61906181081243
+    - type: euclidean_ap
+      value: 61.91869955453384
+    - type: euclidean_f1
+      value: 59.794798377475544
+    - type: euclidean_precision
+      value: 54.57317073170732
+    - type: euclidean_recall
+      value: 66.12137203166228
+    - type: manhattan_accuracy
+      value: 81.89187578232104
+    - type: manhattan_ap
+      value: 59.62564983212156
+    - type: manhattan_f1
+      value: 57.711442786069654
+    - type: manhattan_precision
+      value: 52.364574376612204
+    - type: manhattan_recall
+      value: 64.27440633245382
+    - type: max_accuracy
+      value: 82.61906181081243
+    - type: max_ap
+      value: 61.91869955453384
+    - type: max_f1
+      value: 59.794798377475544
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.49563395040167
+    - type: cos_sim_ap
+      value: 82.90539955967866
+    - type: cos_sim_f1
+      value: 74.9081462237892
+    - type: cos_sim_precision
+      value: 72.30780253636169
+    - type: cos_sim_recall
+      value: 77.70249461040962
+    - type: dot_accuracy
+      value: 87.49563395040167
+    - type: dot_ap
+      value: 82.90539958269324
+    - type: dot_f1
+      value: 74.9081462237892
+    - type: dot_precision
+      value: 72.30780253636169
+    - type: dot_recall
+      value: 77.70249461040962
+    - type: euclidean_accuracy
+      value: 87.49563395040167
+    - type: euclidean_ap
+      value: 82.9054181491746
+    - type: euclidean_f1
+      value: 74.9081462237892
+    - type: euclidean_precision
+      value: 72.30780253636169
+    - type: euclidean_recall
+      value: 77.70249461040962
+    - type: manhattan_accuracy
+      value: 87.37920596111304
+    - type: manhattan_ap
+      value: 82.78475210950901
+    - type: manhattan_f1
+      value: 74.73338499575631
+    - type: manhattan_precision
+      value: 71.7596201544894
+    - type: manhattan_recall
+      value: 77.96427471512165
+    - type: max_accuracy
+      value: 87.49563395040167
+    - type: max_ap
+      value: 82.9054181491746
+    - type: max_f1
+      value: 74.9081462237892
+---