Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+inference: false
+---
+tags:
+- mteb
+model-index:
+- name: epoch_0_model
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 76.98507462686568
+    - type: ap
+      value: 39.47222193126652
+    - type: f1
+      value: 70.5923611893019
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 87.540175
+    - type: ap
+      value: 83.16128207188409
+    - type: f1
+      value: 87.5231988227265
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 46.80799999999999
+    - type: f1
+      value: 46.2632547445265
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.583
+    - type: map_at_10
+      value: 46.17
+    - type: map_at_100
+      value: 47.115
+    - type: map_at_1000
+      value: 47.121
+    - type: map_at_3
+      value: 41.489
+    - type: map_at_5
+      value: 44.046
+    - type: mrr_at_1
+      value: 30.939
+    - type: mrr_at_10
+      value: 46.289
+    - type: mrr_at_100
+      value: 47.241
+    - type: mrr_at_1000
+      value: 47.247
+    - type: mrr_at_3
+      value: 41.596
+    - type: mrr_at_5
+      value: 44.149
+    - type: ndcg_at_1
+      value: 30.583
+    - type: ndcg_at_10
+      value: 54.812000000000005
+    - type: ndcg_at_100
+      value: 58.605
+    - type: ndcg_at_1000
+      value: 58.753
+    - type: ndcg_at_3
+      value: 45.095
+    - type: ndcg_at_5
+      value: 49.744
+    - type: precision_at_1
+      value: 30.583
+    - type: precision_at_10
+      value: 8.243
+    - type: precision_at_100
+      value: 0.984
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 18.516
+    - type: precision_at_5
+      value: 13.385
+    - type: recall_at_1
+      value: 30.583
+    - type: recall_at_10
+      value: 82.432
+    - type: recall_at_100
+      value: 98.43499999999999
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 55.547999999999995
+    - type: recall_at_5
+      value: 66.927
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 45.17830107652425
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 35.90561364087807
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 59.57222651819297
+    - type: mrr
+      value: 73.19241085169062
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.55181686367382
+    - type: cos_sim_spearman
+      value: 87.18933606575987
+    - type: euclidean_pearson
+      value: 87.78077503434338
+    - type: euclidean_spearman
+      value: 87.18933606575987
+    - type: manhattan_pearson
+      value: 87.75124980168601
+    - type: manhattan_spearman
+      value: 86.79113422137638
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 81.09415584415585
+    - type: f1
+      value: 80.60088693212091
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 36.57061229905462
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 32.05342946608653
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.376
+    - type: map_at_10
+      value: 45.214
+    - type: map_at_100
+      value: 46.635
+    - type: map_at_1000
+      value: 46.755
+    - type: map_at_3
+      value: 42.198
+    - type: map_at_5
+      value: 43.723
+    - type: mrr_at_1
+      value: 41.774
+    - type: mrr_at_10
+      value: 51.07000000000001
+    - type: mrr_at_100
+      value: 51.785000000000004
+    - type: mrr_at_1000
+      value: 51.824999999999996
+    - type: mrr_at_3
+      value: 48.808
+    - type: mrr_at_5
+      value: 50.11
+    - type: ndcg_at_1
+      value: 41.774
+    - type: ndcg_at_10
+      value: 51.105999999999995
+    - type: ndcg_at_100
+      value: 56.358
+    - type: ndcg_at_1000
+      value: 58.205
+    - type: ndcg_at_3
+      value: 46.965
+    - type: ndcg_at_5
+      value: 48.599
+    - type: precision_at_1
+      value: 41.774
+    - type: precision_at_10
+      value: 9.514
+    - type: precision_at_100
+      value: 1.508
+    - type: precision_at_1000
+      value: 0.196
+    - type: precision_at_3
+      value: 22.175
+    - type: precision_at_5
+      value: 15.508
+    - type: recall_at_1
+      value: 34.376
+    - type: recall_at_10
+      value: 61.748000000000005
+    - type: recall_at_100
+      value: 84.025
+    - type: recall_at_1000
+      value: 95.5
+    - type: recall_at_3
+      value: 49.378
+    - type: recall_at_5
+      value: 54.276
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.394
+    - type: map_at_10
+      value: 42.707
+    - type: map_at_100
+      value: 43.893
+    - type: map_at_1000
+      value: 44.019000000000005
+    - type: map_at_3
+      value: 39.51
+    - type: map_at_5
+      value: 41.381
+    - type: mrr_at_1
+      value: 41.019
+    - type: mrr_at_10
+      value: 49.042
+    - type: mrr_at_100
+      value: 49.669000000000004
+    - type: mrr_at_1000
+      value: 49.712
+    - type: mrr_at_3
+      value: 46.921
+    - type: mrr_at_5
+      value: 48.192
+    - type: ndcg_at_1
+      value: 41.019
+    - type: ndcg_at_10
+      value: 48.46
+    - type: ndcg_at_100
+      value: 52.537
+    - type: ndcg_at_1000
+      value: 54.491
+    - type: ndcg_at_3
+      value: 44.232
+    - type: ndcg_at_5
+      value: 46.305
+    - type: precision_at_1
+      value: 41.019
+    - type: precision_at_10
+      value: 9.134
+    - type: precision_at_100
+      value: 1.422
+    - type: precision_at_1000
+      value: 0.188
+    - type: precision_at_3
+      value: 21.38
+    - type: precision_at_5
+      value: 15.096000000000002
+    - type: recall_at_1
+      value: 32.394
+    - type: recall_at_10
+      value: 58.11500000000001
+    - type: recall_at_100
+      value: 75.509
+    - type: recall_at_1000
+      value: 87.812
+    - type: recall_at_3
+      value: 45.476
+    - type: recall_at_5
+      value: 51.549
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 43.47
+    - type: map_at_10
+      value: 55.871
+    - type: map_at_100
+      value: 56.745000000000005
+    - type: map_at_1000
+      value: 56.794
+    - type: map_at_3
+      value: 52.439
+    - type: map_at_5
+      value: 54.412000000000006
+    - type: mrr_at_1
+      value: 49.592000000000006
+    - type: mrr_at_10
+      value: 59.34199999999999
+    - type: mrr_at_100
+      value: 59.857000000000006
+    - type: mrr_at_1000
+      value: 59.88
+    - type: mrr_at_3
+      value: 56.897
+    - type: mrr_at_5
+      value: 58.339
+    - type: ndcg_at_1
+      value: 49.592000000000006
+    - type: ndcg_at_10
+      value: 61.67
+    - type: ndcg_at_100
+      value: 65.11099999999999
+    - type: ndcg_at_1000
+      value: 66.065
+    - type: ndcg_at_3
+      value: 56.071000000000005
+    - type: ndcg_at_5
+      value: 58.84700000000001
+    - type: precision_at_1
+      value: 49.592000000000006
+    - type: precision_at_10
+      value: 9.774
+    - type: precision_at_100
+      value: 1.2449999999999999
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 24.66
+    - type: precision_at_5
+      value: 16.878
+    - type: recall_at_1
+      value: 43.47
+    - type: recall_at_10
+      value: 75.387
+    - type: recall_at_100
+      value: 90.253
+    - type: recall_at_1000
+      value: 97.00800000000001
+    - type: recall_at_3
+      value: 60.616
+    - type: recall_at_5
+      value: 67.31899999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.633000000000003
+    - type: map_at_10
+      value: 35.497
+    - type: map_at_100
+      value: 36.504
+    - type: map_at_1000
+      value: 36.574
+    - type: map_at_3
+      value: 33.115
+    - type: map_at_5
+      value: 34.536
+    - type: mrr_at_1
+      value: 28.927000000000003
+    - type: mrr_at_10
+      value: 37.778
+    - type: mrr_at_100
+      value: 38.634
+    - type: mrr_at_1000
+      value: 38.690000000000005
+    - type: mrr_at_3
+      value: 35.518
+    - type: mrr_at_5
+      value: 36.908
+    - type: ndcg_at_1
+      value: 28.927000000000003
+    - type: ndcg_at_10
+      value: 40.327
+    - type: ndcg_at_100
+      value: 45.321
+    - type: ndcg_at_1000
+      value: 47.214
+    - type: ndcg_at_3
+      value: 35.762
+    - type: ndcg_at_5
+      value: 38.153999999999996
+    - type: precision_at_1
+      value: 28.927000000000003
+    - type: precision_at_10
+      value: 6.045
+    - type: precision_at_100
+      value: 0.901
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_3
+      value: 15.140999999999998
+    - type: precision_at_5
+      value: 10.485999999999999
+    - type: recall_at_1
+      value: 26.633000000000003
+    - type: recall_at_10
+      value: 52.99
+    - type: recall_at_100
+      value: 76.086
+    - type: recall_at_1000
+      value: 90.46300000000001
+    - type: recall_at_3
+      value: 40.738
+    - type: recall_at_5
+      value: 46.449
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.521
+    - type: map_at_10
+      value: 25.130000000000003
+    - type: map_at_100
+      value: 26.176
+    - type: map_at_1000
+      value: 26.289
+    - type: map_at_3
+      value: 22.829
+    - type: map_at_5
+      value: 24.082
+    - type: mrr_at_1
+      value: 21.766
+    - type: mrr_at_10
+      value: 29.801
+    - type: mrr_at_100
+      value: 30.682
+    - type: mrr_at_1000
+      value: 30.75
+    - type: mrr_at_3
+      value: 27.633000000000003
+    - type: mrr_at_5
+      value: 28.858
+    - type: ndcg_at_1
+      value: 21.766
+    - type: ndcg_at_10
+      value: 30.026000000000003
+    - type: ndcg_at_100
+      value: 35.429
+    - type: ndcg_at_1000
+      value: 38.236
+    - type: ndcg_at_3
+      value: 25.968000000000004
+    - type: ndcg_at_5
+      value: 27.785
+    - type: precision_at_1
+      value: 21.766
+    - type: precision_at_10
+      value: 5.498
+    - type: precision_at_100
+      value: 0.9450000000000001
+    - type: precision_at_1000
+      value: 0.133
+    - type: precision_at_3
+      value: 12.687000000000001
+    - type: precision_at_5
+      value: 9.005
+    - type: recall_at_1
+      value: 17.521
+    - type: recall_at_10
+      value: 40.454
+    - type: recall_at_100
+      value: 64.828
+    - type: recall_at_1000
+      value: 84.83800000000001
+    - type: recall_at_3
+      value: 28.758
+    - type: recall_at_5
+      value: 33.617000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.564999999999998
+    - type: map_at_10
+      value: 40.664
+    - type: map_at_100
+      value: 41.995
+    - type: map_at_1000
+      value: 42.104
+    - type: map_at_3
+      value: 37.578
+    - type: map_at_5
+      value: 39.247
+    - type: mrr_at_1
+      value: 37.44
+    - type: mrr_at_10
+      value: 46.533
+    - type: mrr_at_100
+      value: 47.363
+    - type: mrr_at_1000
+      value: 47.405
+    - type: mrr_at_3
+      value: 44.224999999999994
+    - type: mrr_at_5
+      value: 45.549
+    - type: ndcg_at_1
+      value: 37.44
+    - type: ndcg_at_10
+      value: 46.574
+    - type: ndcg_at_100
+      value: 52.024
+    - type: ndcg_at_1000
+      value: 53.93900000000001
+    - type: ndcg_at_3
+      value: 41.722
+    - type: ndcg_at_5
+      value: 43.973
+    - type: precision_at_1
+      value: 37.44
+    - type: precision_at_10
+      value: 8.344999999999999
+    - type: precision_at_100
+      value: 1.278
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 19.442
+    - type: precision_at_5
+      value: 13.802
+    - type: recall_at_1
+      value: 30.564999999999998
+    - type: recall_at_10
+      value: 58.207
+    - type: recall_at_100
+      value: 81.137
+    - type: recall_at_1000
+      value: 93.506
+    - type: recall_at_3
+      value: 44.606
+    - type: recall_at_5
+      value: 50.373000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.892
+    - type: map_at_10
+      value: 37.251
+    - type: map_at_100
+      value: 38.606
+    - type: map_at_1000
+      value: 38.716
+    - type: map_at_3
+      value: 34.312
+    - type: map_at_5
+      value: 35.791000000000004
+    - type: mrr_at_1
+      value: 34.247
+    - type: mrr_at_10
+      value: 42.696
+    - type: mrr_at_100
+      value: 43.659
+    - type: mrr_at_1000
+      value: 43.711
+    - type: mrr_at_3
+      value: 40.563
+    - type: mrr_at_5
+      value: 41.625
+    - type: ndcg_at_1
+      value: 34.247
+    - type: ndcg_at_10
+      value: 42.709
+    - type: ndcg_at_100
+      value: 48.422
+    - type: ndcg_at_1000
+      value: 50.544
+    - type: ndcg_at_3
+      value: 38.105
+    - type: ndcg_at_5
+      value: 39.846
+    - type: precision_at_1
+      value: 34.247
+    - type: precision_at_10
+      value: 7.66
+    - type: precision_at_100
+      value: 1.2109999999999999
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 17.884
+    - type: precision_at_5
+      value: 12.489
+    - type: recall_at_1
+      value: 27.892
+    - type: recall_at_10
+      value: 53.559
+    - type: recall_at_100
+      value: 78.018
+    - type: recall_at_1000
+      value: 92.07300000000001
+    - type: recall_at_3
+      value: 40.154
+    - type: recall_at_5
+      value: 45.078
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.29375
+    - type: map_at_10
+      value: 36.19533333333334
+    - type: map_at_100
+      value: 37.33183333333334
+    - type: map_at_1000
+      value: 37.44616666666667
+    - type: map_at_3
+      value: 33.49125
+    - type: map_at_5
+      value: 34.94166666666667
+    - type: mrr_at_1
+      value: 32.336666666666666
+    - type: mrr_at_10
+      value: 40.45983333333333
+    - type: mrr_at_100
+      value: 41.26533333333334
+    - type: mrr_at_1000
+      value: 41.321583333333336
+    - type: mrr_at_3
+      value: 38.23416666666667
+    - type: mrr_at_5
+      value: 39.48491666666666
+    - type: ndcg_at_1
+      value: 32.336666666666666
+    - type: ndcg_at_10
+      value: 41.39958333333333
+    - type: ndcg_at_100
+      value: 46.293
+    - type: ndcg_at_1000
+      value: 48.53425
+    - type: ndcg_at_3
+      value: 36.88833333333333
+    - type: ndcg_at_5
+      value: 38.90733333333333
+    - type: precision_at_1
+      value: 32.336666666666666
+    - type: precision_at_10
+      value: 7.175916666666667
+    - type: precision_at_100
+      value: 1.1311666666666669
+    - type: precision_at_1000
+      value: 0.15141666666666667
+    - type: precision_at_3
+      value: 16.841166666666666
+    - type: precision_at_5
+      value: 11.796583333333334
+    - type: recall_at_1
+      value: 27.29375
+    - type: recall_at_10
+      value: 52.514583333333334
+    - type: recall_at_100
+      value: 74.128
+    - type: recall_at_1000
+      value: 89.64125
+    - type: recall_at_3
+      value: 39.83258333333333
+    - type: recall_at_5
+      value: 45.126416666666664
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.62
+    - type: map_at_10
+      value: 31.517
+    - type: map_at_100
+      value: 32.322
+    - type: map_at_1000
+      value: 32.422000000000004
+    - type: map_at_3
+      value: 29.293999999999997
+    - type: map_at_5
+      value: 30.403999999999996
+    - type: mrr_at_1
+      value: 27.607
+    - type: mrr_at_10
+      value: 34.294999999999995
+    - type: mrr_at_100
+      value: 35.045
+    - type: mrr_at_1000
+      value: 35.114000000000004
+    - type: mrr_at_3
+      value: 32.311
+    - type: mrr_at_5
+      value: 33.369
+    - type: ndcg_at_1
+      value: 27.607
+    - type: ndcg_at_10
+      value: 35.853
+    - type: ndcg_at_100
+      value: 39.919
+    - type: ndcg_at_1000
+      value: 42.452
+    - type: ndcg_at_3
+      value: 31.702
+    - type: ndcg_at_5
+      value: 33.47
+    - type: precision_at_1
+      value: 27.607
+    - type: precision_at_10
+      value: 5.598
+    - type: precision_at_100
+      value: 0.83
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 13.700999999999999
+    - type: precision_at_5
+      value: 9.325
+    - type: recall_at_1
+      value: 24.62
+    - type: recall_at_10
+      value: 46.475
+    - type: recall_at_100
+      value: 64.891
+    - type: recall_at_1000
+      value: 83.524
+    - type: recall_at_3
+      value: 34.954
+    - type: recall_at_5
+      value: 39.471000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.858999999999998
+    - type: map_at_10
+      value: 23.746000000000002
+    - type: map_at_100
+      value: 24.731
+    - type: map_at_1000
+      value: 24.86
+    - type: map_at_3
+      value: 21.603
+    - type: map_at_5
+      value: 22.811999999999998
+    - type: mrr_at_1
+      value: 20.578
+    - type: mrr_at_10
+      value: 27.618
+    - type: mrr_at_100
+      value: 28.459
+    - type: mrr_at_1000
+      value: 28.543000000000003
+    - type: mrr_at_3
+      value: 25.533
+    - type: mrr_at_5
+      value: 26.730999999999998
+    - type: ndcg_at_1
+      value: 20.578
+    - type: ndcg_at_10
+      value: 28.147
+    - type: ndcg_at_100
+      value: 32.946999999999996
+    - type: ndcg_at_1000
+      value: 36.048
+    - type: ndcg_at_3
+      value: 24.32
+    - type: ndcg_at_5
+      value: 26.131999999999998
+    - type: precision_at_1
+      value: 20.578
+    - type: precision_at_10
+      value: 5.061999999999999
+    - type: precision_at_100
+      value: 0.8789999999999999
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 11.448
+    - type: precision_at_5
+      value: 8.251999999999999
+    - type: recall_at_1
+      value: 16.858999999999998
+    - type: recall_at_10
+      value: 37.565
+    - type: recall_at_100
+      value: 59.239
+    - type: recall_at_1000
+      value: 81.496
+    - type: recall_at_3
+      value: 26.865
+    - type: recall_at_5
+      value: 31.581
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.11
+    - type: map_at_10
+      value: 34.214
+    - type: map_at_100
+      value: 35.291
+    - type: map_at_1000
+      value: 35.400999999999996
+    - type: map_at_3
+      value: 31.541000000000004
+    - type: map_at_5
+      value: 33.21
+    - type: mrr_at_1
+      value: 30.97
+    - type: mrr_at_10
+      value: 38.522
+    - type: mrr_at_100
+      value: 39.37
+    - type: mrr_at_1000
+      value: 39.437
+    - type: mrr_at_3
+      value: 36.193999999999996
+    - type: mrr_at_5
+      value: 37.691
+    - type: ndcg_at_1
+      value: 30.97
+    - type: ndcg_at_10
+      value: 39.2
+    - type: ndcg_at_100
+      value: 44.267
+    - type: ndcg_at_1000
+      value: 46.760000000000005
+    - type: ndcg_at_3
+      value: 34.474
+    - type: ndcg_at_5
+      value: 37.016
+    - type: precision_at_1
+      value: 30.97
+    - type: precision_at_10
+      value: 6.521000000000001
+    - type: precision_at_100
+      value: 1.011
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 15.392
+    - type: precision_at_5
+      value: 11.026
+    - type: recall_at_1
+      value: 26.11
+    - type: recall_at_10
+      value: 50.14999999999999
+    - type: recall_at_100
+      value: 72.398
+    - type: recall_at_1000
+      value: 89.764
+    - type: recall_at_3
+      value: 37.352999999999994
+    - type: recall_at_5
+      value: 43.736000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.514
+    - type: map_at_10
+      value: 34.278999999999996
+    - type: map_at_100
+      value: 35.847
+    - type: map_at_1000
+      value: 36.086
+    - type: map_at_3
+      value: 31.563999999999997
+    - type: map_at_5
+      value: 32.903999999999996
+    - type: mrr_at_1
+      value: 30.830000000000002
+    - type: mrr_at_10
+      value: 38.719
+    - type: mrr_at_100
+      value: 39.678999999999995
+    - type: mrr_at_1000
+      value: 39.741
+    - type: mrr_at_3
+      value: 36.265
+    - type: mrr_at_5
+      value: 37.599
+    - type: ndcg_at_1
+      value: 30.830000000000002
+    - type: ndcg_at_10
+      value: 39.997
+    - type: ndcg_at_100
+      value: 45.537
+    - type: ndcg_at_1000
+      value: 48.296
+    - type: ndcg_at_3
+      value: 35.429
+    - type: ndcg_at_5
+      value: 37.3
+    - type: precision_at_1
+      value: 30.830000000000002
+    - type: precision_at_10
+      value: 7.747
+    - type: precision_at_100
+      value: 1.516
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 16.601
+    - type: precision_at_5
+      value: 11.818
+    - type: recall_at_1
+      value: 25.514
+    - type: recall_at_10
+      value: 50.71600000000001
+    - type: recall_at_100
+      value: 75.40299999999999
+    - type: recall_at_1000
+      value: 93.10300000000001
+    - type: recall_at_3
+      value: 37.466
+    - type: recall_at_5
+      value: 42.677
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.571
+    - type: map_at_10
+      value: 28.254
+    - type: map_at_100
+      value: 29.237000000000002
+    - type: map_at_1000
+      value: 29.334
+    - type: map_at_3
+      value: 25.912000000000003
+    - type: map_at_5
+      value: 26.798
+    - type: mrr_at_1
+      value: 23.29
+    - type: mrr_at_10
+      value: 30.102
+    - type: mrr_at_100
+      value: 30.982
+    - type: mrr_at_1000
+      value: 31.051000000000002
+    - type: mrr_at_3
+      value: 27.942
+    - type: mrr_at_5
+      value: 28.848000000000003
+    - type: ndcg_at_1
+      value: 23.29
+    - type: ndcg_at_10
+      value: 32.726
+    - type: ndcg_at_100
+      value: 37.644
+    - type: ndcg_at_1000
+      value: 40.161
+    - type: ndcg_at_3
+      value: 27.91
+    - type: ndcg_at_5
+      value: 29.461
+    - type: precision_at_1
+      value: 23.29
+    - type: precision_at_10
+      value: 5.213
+    - type: precision_at_100
+      value: 0.828
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 11.583
+    - type: precision_at_5
+      value: 7.8740000000000006
+    - type: recall_at_1
+      value: 21.571
+    - type: recall_at_10
+      value: 44.809
+    - type: recall_at_100
+      value: 67.74900000000001
+    - type: recall_at_1000
+      value: 86.60799999999999
+    - type: recall_at_3
+      value: 31.627
+    - type: recall_at_5
+      value: 35.391
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.953
+    - type: map_at_10
+      value: 17.183
+    - type: map_at_100
+      value: 18.926000000000002
+    - type: map_at_1000
+      value: 19.105
+    - type: map_at_3
+      value: 14.308000000000002
+    - type: map_at_5
+      value: 15.738
+    - type: mrr_at_1
+      value: 22.02
+    - type: mrr_at_10
+      value: 33.181
+    - type: mrr_at_100
+      value: 34.357
+    - type: mrr_at_1000
+      value: 34.398
+    - type: mrr_at_3
+      value: 29.793999999999997
+    - type: mrr_at_5
+      value: 31.817
+    - type: ndcg_at_1
+      value: 22.02
+    - type: ndcg_at_10
+      value: 24.712
+    - type: ndcg_at_100
+      value: 32.025
+    - type: ndcg_at_1000
+      value: 35.437000000000005
+    - type: ndcg_at_3
+      value: 19.852
+    - type: ndcg_at_5
+      value: 21.565
+    - type: precision_at_1
+      value: 22.02
+    - type: precision_at_10
+      value: 7.779
+    - type: precision_at_100
+      value: 1.554
+    - type: precision_at_1000
+      value: 0.219
+    - type: precision_at_3
+      value: 14.832
+    - type: precision_at_5
+      value: 11.453000000000001
+    - type: recall_at_1
+      value: 9.953
+    - type: recall_at_10
+      value: 30.375000000000004
+    - type: recall_at_100
+      value: 55.737
+    - type: recall_at_1000
+      value: 75.071
+    - type: recall_at_3
+      value: 18.529999999999998
+    - type: recall_at_5
+      value: 23.313
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.651
+    - type: map_at_10
+      value: 19.674
+    - type: map_at_100
+      value: 27.855999999999998
+    - type: map_at_1000
+      value: 29.348000000000003
+    - type: map_at_3
+      value: 14.247000000000002
+    - type: map_at_5
+      value: 16.453
+    - type: mrr_at_1
+      value: 61.75000000000001
+    - type: mrr_at_10
+      value: 71.329
+    - type: mrr_at_100
+      value: 71.69200000000001
+    - type: mrr_at_1000
+      value: 71.699
+    - type: mrr_at_3
+      value: 69.042
+    - type: mrr_at_5
+      value: 70.679
+    - type: ndcg_at_1
+      value: 50.125
+    - type: ndcg_at_10
+      value: 40.199
+    - type: ndcg_at_100
+      value: 45.378
+    - type: ndcg_at_1000
+      value: 52.376999999999995
+    - type: ndcg_at_3
+      value: 44.342
+    - type: ndcg_at_5
+      value: 41.730000000000004
+    - type: precision_at_1
+      value: 61.75000000000001
+    - type: precision_at_10
+      value: 32.2
+    - type: precision_at_100
+      value: 10.298
+    - type: precision_at_1000
+      value: 1.984
+    - type: precision_at_3
+      value: 48.667
+    - type: precision_at_5
+      value: 40.5
+    - type: recall_at_1
+      value: 8.651
+    - type: recall_at_10
+      value: 25.607000000000003
+    - type: recall_at_100
+      value: 53.062
+    - type: recall_at_1000
+      value: 74.717
+    - type: recall_at_3
+      value: 15.661
+    - type: recall_at_5
+      value: 19.409000000000002
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 47.64500000000001
+    - type: f1
+      value: 43.71011316507787
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 54.613
+    - type: map_at_10
+      value: 68.02
+    - type: map_at_100
+      value: 68.366
+    - type: map_at_1000
+      value: 68.379
+    - type: map_at_3
+      value: 65.753
+    - type: map_at_5
+      value: 67.242
+    - type: mrr_at_1
+      value: 59.001000000000005
+    - type: mrr_at_10
+      value: 72.318
+    - type: mrr_at_100
+      value: 72.558
+    - type: mrr_at_1000
+      value: 72.56099999999999
+    - type: mrr_at_3
+      value: 70.22699999999999
+    - type: mrr_at_5
+      value: 71.655
+    - type: ndcg_at_1
+      value: 59.001000000000005
+    - type: ndcg_at_10
+      value: 74.386
+    - type: ndcg_at_100
+      value: 75.763
+    - type: ndcg_at_1000
+      value: 76.03
+    - type: ndcg_at_3
+      value: 70.216
+    - type: ndcg_at_5
+      value: 72.697
+    - type: precision_at_1
+      value: 59.001000000000005
+    - type: precision_at_10
+      value: 9.844
+    - type: precision_at_100
+      value: 1.068
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 28.523
+    - type: precision_at_5
+      value: 18.491
+    - type: recall_at_1
+      value: 54.613
+    - type: recall_at_10
+      value: 89.669
+    - type: recall_at_100
+      value: 95.387
+    - type: recall_at_1000
+      value: 97.129
+    - type: recall_at_3
+      value: 78.54100000000001
+    - type: recall_at_5
+      value: 84.637
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.348
+    - type: map_at_10
+      value: 32.464999999999996
+    - type: map_at_100
+      value: 34.235
+    - type: map_at_1000
+      value: 34.410000000000004
+    - type: map_at_3
+      value: 28.109
+    - type: map_at_5
+      value: 30.634
+    - type: mrr_at_1
+      value: 38.889
+    - type: mrr_at_10
+      value: 47.131
+    - type: mrr_at_100
+      value: 48.107
+    - type: mrr_at_1000
+      value: 48.138
+    - type: mrr_at_3
+      value: 44.599
+    - type: mrr_at_5
+      value: 46.181
+    - type: ndcg_at_1
+      value: 38.889
+    - type: ndcg_at_10
+      value: 39.86
+    - type: ndcg_at_100
+      value: 46.619
+    - type: ndcg_at_1000
+      value: 49.525999999999996
+    - type: ndcg_at_3
+      value: 35.768
+    - type: ndcg_at_5
+      value: 37.4
+    - type: precision_at_1
+      value: 38.889
+    - type: precision_at_10
+      value: 11.003
+    - type: precision_at_100
+      value: 1.796
+    - type: precision_at_1000
+      value: 0.233
+    - type: precision_at_3
+      value: 23.714
+    - type: precision_at_5
+      value: 17.901
+    - type: recall_at_1
+      value: 20.348
+    - type: recall_at_10
+      value: 46.781
+    - type: recall_at_100
+      value: 71.937
+    - type: recall_at_1000
+      value: 89.18599999999999
+    - type: recall_at_3
+      value: 32.16
+    - type: recall_at_5
+      value: 38.81
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.198
+    - type: map_at_10
+      value: 54.065
+    - type: map_at_100
+      value: 54.984
+    - type: map_at_1000
+      value: 55.05
+    - type: map_at_3
+      value: 50.758
+    - type: map_at_5
+      value: 52.758
+    - type: mrr_at_1
+      value: 74.396
+    - type: mrr_at_10
+      value: 81.352
+    - type: mrr_at_100
+      value: 81.562
+    - type: mrr_at_1000
+      value: 81.57
+    - type: mrr_at_3
+      value: 80.30199999999999
+    - type: mrr_at_5
+      value: 80.963
+    - type: ndcg_at_1
+      value: 74.396
+    - type: ndcg_at_10
+      value: 63.70099999999999
+    - type: ndcg_at_100
+      value: 66.874
+    - type: ndcg_at_1000
+      value: 68.171
+    - type: ndcg_at_3
+      value: 58.916999999999994
+    - type: ndcg_at_5
+      value: 61.495999999999995
+    - type: precision_at_1
+      value: 74.396
+    - type: precision_at_10
+      value: 13.228000000000002
+    - type: precision_at_100
+      value: 1.569
+    - type: precision_at_1000
+      value: 0.174
+    - type: precision_at_3
+      value: 37.007
+    - type: precision_at_5
+      value: 24.248
+    - type: recall_at_1
+      value: 37.198
+    - type: recall_at_10
+      value: 66.13799999999999
+    - type: recall_at_100
+      value: 78.45400000000001
+    - type: recall_at_1000
+      value: 87.04899999999999
+    - type: recall_at_3
+      value: 55.510000000000005
+    - type: recall_at_5
+      value: 60.621
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 86.32240000000002
+    - type: ap
+      value: 81.37708984744188
+    - type: f1
+      value: 86.29645005523952
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.402
+    - type: map_at_10
+      value: 28.097
+    - type: map_at_100
+      value: 29.421999999999997
+    - type: map_at_1000
+      value: 29.476999999999997
+    - type: map_at_3
+      value: 24.015
+    - type: map_at_5
+      value: 26.316
+    - type: mrr_at_1
+      value: 16.905
+    - type: mrr_at_10
+      value: 28.573999999999998
+    - type: mrr_at_100
+      value: 29.862
+    - type: mrr_at_1000
+      value: 29.912
+    - type: mrr_at_3
+      value: 24.589
+    - type: mrr_at_5
+      value: 26.851000000000003
+    - type: ndcg_at_1
+      value: 16.905
+    - type: ndcg_at_10
+      value: 34.99
+    - type: ndcg_at_100
+      value: 41.419
+    - type: ndcg_at_1000
+      value: 42.815999999999995
+    - type: ndcg_at_3
+      value: 26.695
+    - type: ndcg_at_5
+      value: 30.789
+    - type: precision_at_1
+      value: 16.905
+    - type: precision_at_10
+      value: 5.891
+    - type: precision_at_100
+      value: 0.91
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 11.724
+    - type: precision_at_5
+      value: 9.097
+    - type: recall_at_1
+      value: 16.402
+    - type: recall_at_10
+      value: 56.462999999999994
+    - type: recall_at_100
+      value: 86.246
+    - type: recall_at_1000
+      value: 96.926
+    - type: recall_at_3
+      value: 33.897
+    - type: recall_at_5
+      value: 43.718
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 92.35978112175103
+    - type: f1
+      value: 92.04704651024416
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 65.20063839489283
+    - type: f1
+      value: 45.34047546059121
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 67.74714189643578
+    - type: f1
+      value: 65.36156843270334
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 74.03160726294554
+    - type: f1
+      value: 73.42899064973165
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.347360980344476
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 29.56022733162805
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.60132765358296
+    - type: mrr
+      value: 31.710892632824468
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.827999999999999
+    - type: map_at_10
+      value: 13.547
+    - type: map_at_100
+      value: 16.869
+    - type: map_at_1000
+      value: 18.242
+    - type: map_at_3
+      value: 9.917
+    - type: map_at_5
+      value: 11.648
+    - type: mrr_at_1
+      value: 46.44
+    - type: mrr_at_10
+      value: 55.062
+    - type: mrr_at_100
+      value: 55.513999999999996
+    - type: mrr_at_1000
+      value: 55.564
+    - type: mrr_at_3
+      value: 52.735
+    - type: mrr_at_5
+      value: 54.391
+    - type: ndcg_at_1
+      value: 44.582
+    - type: ndcg_at_10
+      value: 35.684
+    - type: ndcg_at_100
+      value: 31.913999999999998
+    - type: ndcg_at_1000
+      value: 40.701
+    - type: ndcg_at_3
+      value: 40.819
+    - type: ndcg_at_5
+      value: 39.117000000000004
+    - type: precision_at_1
+      value: 46.129999999999995
+    - type: precision_at_10
+      value: 26.687
+    - type: precision_at_100
+      value: 8.062
+    - type: precision_at_1000
+      value: 2.073
+    - type: precision_at_3
+      value: 38.493
+    - type: precision_at_5
+      value: 34.241
+    - type: recall_at_1
+      value: 5.827999999999999
+    - type: recall_at_10
+      value: 17.391000000000002
+    - type: recall_at_100
+      value: 31.228
+    - type: recall_at_1000
+      value: 63.943000000000005
+    - type: recall_at_3
+      value: 10.81
+    - type: recall_at_5
+      value: 13.618
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.02
+    - type: map_at_10
+      value: 40.054
+    - type: map_at_100
+      value: 41.318
+    - type: map_at_1000
+      value: 41.343999999999994
+    - type: map_at_3
+      value: 35.221999999999994
+    - type: map_at_5
+      value: 38.057
+    - type: mrr_at_1
+      value: 27.230999999999998
+    - type: mrr_at_10
+      value: 42.315999999999995
+    - type: mrr_at_100
+      value: 43.254
+    - type: mrr_at_1000
+      value: 43.272
+    - type: mrr_at_3
+      value: 38.176
+    - type: mrr_at_5
+      value: 40.64
+    - type: ndcg_at_1
+      value: 27.230999999999998
+    - type: ndcg_at_10
+      value: 48.551
+    - type: ndcg_at_100
+      value: 53.737
+    - type: ndcg_at_1000
+      value: 54.313
+    - type: ndcg_at_3
+      value: 39.367999999999995
+    - type: ndcg_at_5
+      value: 44.128
+    - type: precision_at_1
+      value: 27.230999999999998
+    - type: precision_at_10
+      value: 8.578
+    - type: precision_at_100
+      value: 1.145
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 18.704
+    - type: precision_at_5
+      value: 13.927999999999999
+    - type: recall_at_1
+      value: 24.02
+    - type: recall_at_10
+      value: 72.258
+    - type: recall_at_100
+      value: 94.489
+    - type: recall_at_1000
+      value: 98.721
+    - type: recall_at_3
+      value: 48.373
+    - type: recall_at_5
+      value: 59.388
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 70.476
+    - type: map_at_10
+      value: 84.41300000000001
+    - type: map_at_100
+      value: 85.036
+    - type: map_at_1000
+      value: 85.055
+    - type: map_at_3
+      value: 81.45599999999999
+    - type: map_at_5
+      value: 83.351
+    - type: mrr_at_1
+      value: 81.07
+    - type: mrr_at_10
+      value: 87.408
+    - type: mrr_at_100
+      value: 87.509
+    - type: mrr_at_1000
+      value: 87.51
+    - type: mrr_at_3
+      value: 86.432
+    - type: mrr_at_5
+      value: 87.128
+    - type: ndcg_at_1
+      value: 81.13
+    - type: ndcg_at_10
+      value: 88.18599999999999
+    - type: ndcg_at_100
+      value: 89.401
+    - type: ndcg_at_1000
+      value: 89.515
+    - type: ndcg_at_3
+      value: 85.332
+    - type: ndcg_at_5
+      value: 86.97
+    - type: precision_at_1
+      value: 81.13
+    - type: precision_at_10
+      value: 13.361
+    - type: precision_at_100
+      value: 1.5230000000000001
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 37.31
+    - type: precision_at_5
+      value: 24.548000000000002
+    - type: recall_at_1
+      value: 70.476
+    - type: recall_at_10
+      value: 95.3
+    - type: recall_at_100
+      value: 99.46000000000001
+    - type: recall_at_1000
+      value: 99.96000000000001
+    - type: recall_at_3
+      value: 87.057
+    - type: recall_at_5
+      value: 91.739
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 55.36775089400664
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 60.05041008018361
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.743
+    - type: map_at_10
+      value: 12.171
+    - type: map_at_100
+      value: 14.174999999999999
+    - type: map_at_1000
+      value: 14.446
+    - type: map_at_3
+      value: 8.698
+    - type: map_at_5
+      value: 10.444
+    - type: mrr_at_1
+      value: 23.400000000000002
+    - type: mrr_at_10
+      value: 34.284
+    - type: mrr_at_100
+      value: 35.400999999999996
+    - type: mrr_at_1000
+      value: 35.451
+    - type: mrr_at_3
+      value: 31.167
+    - type: mrr_at_5
+      value: 32.946999999999996
+    - type: ndcg_at_1
+      value: 23.400000000000002
+    - type: ndcg_at_10
+      value: 20.169999999999998
+    - type: ndcg_at_100
+      value: 27.967
+    - type: ndcg_at_1000
+      value: 32.982
+    - type: ndcg_at_3
+      value: 19.308
+    - type: ndcg_at_5
+      value: 16.837
+    - type: precision_at_1
+      value: 23.400000000000002
+    - type: precision_at_10
+      value: 10.41
+    - type: precision_at_100
+      value: 2.162
+    - type: precision_at_1000
+      value: 0.338
+    - type: precision_at_3
+      value: 18.067
+    - type: precision_at_5
+      value: 14.78
+    - type: recall_at_1
+      value: 4.743
+    - type: recall_at_10
+      value: 21.098
+    - type: recall_at_100
+      value: 43.85
+    - type: recall_at_1000
+      value: 68.60000000000001
+    - type: recall_at_3
+      value: 10.993
+    - type: recall_at_5
+      value: 14.998000000000001
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.129376905658
+    - type: cos_sim_spearman
+      value: 74.18938626206575
+    - type: euclidean_pearson
+      value: 77.95192851803141
+    - type: euclidean_spearman
+      value: 74.18938626206575
+    - type: manhattan_pearson
+      value: 77.97718819383338
+    - type: manhattan_spearman
+      value: 74.20580317409417
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.36913772828827
+    - type: cos_sim_spearman
+      value: 73.22311186990363
+    - type: euclidean_pearson
+      value: 74.45263405031004
+    - type: euclidean_spearman
+      value: 73.22311186990363
+    - type: manhattan_pearson
+      value: 74.56201270071791
+    - type: manhattan_spearman
+      value: 73.26490493774821
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.79920796384403
+    - type: cos_sim_spearman
+      value: 84.77145185366201
+    - type: euclidean_pearson
+      value: 83.90638366191354
+    - type: euclidean_spearman
+      value: 84.77145185366201
+    - type: manhattan_pearson
+      value: 83.83788216629048
+    - type: manhattan_spearman
+      value: 84.70515987131665
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.18883765092875
+    - type: cos_sim_spearman
+      value: 79.9948128016449
+    - type: euclidean_pearson
+      value: 81.57436738666773
+    - type: euclidean_spearman
+      value: 79.9948128016449
+    - type: manhattan_pearson
+      value: 81.55274202648187
+    - type: manhattan_spearman
+      value: 79.99854975019382
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.89669110871021
+    - type: cos_sim_spearman
+      value: 87.26758456901442
+    - type: euclidean_pearson
+      value: 86.62614163641416
+    - type: euclidean_spearman
+      value: 87.26758456901442
+    - type: manhattan_pearson
+      value: 86.58584490012353
+    - type: manhattan_spearman
+      value: 87.20340001562076
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.983023415916
+    - type: cos_sim_spearman
+      value: 82.31169002657151
+    - type: euclidean_pearson
+      value: 81.52305092886222
+    - type: euclidean_spearman
+      value: 82.31169002657151
+    - type: manhattan_pearson
+      value: 81.63024996600281
+    - type: manhattan_spearman
+      value: 82.44579116264026
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.27779520541694
+    - type: cos_sim_spearman
+      value: 89.54137104681308
+    - type: euclidean_pearson
+      value: 88.99136079955996
+    - type: euclidean_spearman
+      value: 89.54137104681308
+    - type: manhattan_pearson
+      value: 88.95980417618277
+    - type: manhattan_spearman
+      value: 89.55178819334718
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 66.50806758829178
+    - type: cos_sim_spearman
+      value: 65.92675365587571
+    - type: euclidean_pearson
+      value: 67.09216876696559
+    - type: euclidean_spearman
+      value: 65.92675365587571
+    - type: manhattan_pearson
+      value: 67.37398716891478
+    - type: manhattan_spearman
+      value: 66.34811143508206
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.557575753862
+    - type: cos_sim_spearman
+      value: 83.95859527071087
+    - type: euclidean_pearson
+      value: 83.77287626715369
+    - type: euclidean_spearman
+      value: 83.95859527071087
+    - type: manhattan_pearson
+      value: 83.7898033034244
+    - type: manhattan_spearman
+      value: 83.94860981294184
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 79.90679624144718
+    - type: mrr
+      value: 94.33150183150182
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 56.81699999999999
+    - type: map_at_10
+      value: 67.301
+    - type: map_at_100
+      value: 67.73599999999999
+    - type: map_at_1000
+      value: 67.757
+    - type: map_at_3
+      value: 64.865
+    - type: map_at_5
+      value: 66.193
+    - type: mrr_at_1
+      value: 59.667
+    - type: mrr_at_10
+      value: 68.324
+    - type: mrr_at_100
+      value: 68.66
+    - type: mrr_at_1000
+      value: 68.676
+    - type: mrr_at_3
+      value: 66.556
+    - type: mrr_at_5
+      value: 67.472
+    - type: ndcg_at_1
+      value: 59.667
+    - type: ndcg_at_10
+      value: 71.982
+    - type: ndcg_at_100
+      value: 74.149
+    - type: ndcg_at_1000
+      value: 74.60799999999999
+    - type: ndcg_at_3
+      value: 67.796
+    - type: ndcg_at_5
+      value: 69.64099999999999
+    - type: precision_at_1
+      value: 59.667
+    - type: precision_at_10
+      value: 9.633
+    - type: precision_at_100
+      value: 1.08
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 26.889000000000003
+    - type: precision_at_5
+      value: 17.467
+    - type: recall_at_1
+      value: 56.81699999999999
+    - type: recall_at_10
+      value: 85.18900000000001
+    - type: recall_at_100
+      value: 95.6
+    - type: recall_at_1000
+      value: 99.0
+    - type: recall_at_3
+      value: 73.617
+    - type: recall_at_5
+      value: 78.444
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.83465346534653
+    - type: cos_sim_ap
+      value: 95.93387984443646
+    - type: cos_sim_f1
+      value: 91.49261334691798
+    - type: cos_sim_precision
+      value: 93.25025960539979
+    - type: cos_sim_recall
+      value: 89.8
+    - type: dot_accuracy
+      value: 99.83465346534653
+    - type: dot_ap
+      value: 95.93389375761485
+    - type: dot_f1
+      value: 91.49261334691798
+    - type: dot_precision
+      value: 93.25025960539979
+    - type: dot_recall
+      value: 89.8
+    - type: euclidean_accuracy
+      value: 99.83465346534653
+    - type: euclidean_ap
+      value: 95.93389375761487
+    - type: euclidean_f1
+      value: 91.49261334691798
+    - type: euclidean_precision
+      value: 93.25025960539979
+    - type: euclidean_recall
+      value: 89.8
+    - type: manhattan_accuracy
+      value: 99.83564356435643
+    - type: manhattan_ap
+      value: 95.89877504534601
+    - type: manhattan_f1
+      value: 91.53061224489795
+    - type: manhattan_precision
+      value: 93.4375
+    - type: manhattan_recall
+      value: 89.7
+    - type: max_accuracy
+      value: 99.83564356435643
+    - type: max_ap
+      value: 95.93389375761487
+    - type: max_f1
+      value: 91.53061224489795
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 62.2780055191805
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.94461701798904
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 49.865789666749535
+    - type: mrr
+      value: 50.61783804430863
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.97703436199298
+    - type: cos_sim_spearman
+      value: 30.71880290978946
+    - type: dot_pearson
+      value: 29.977036284086818
+    - type: dot_spearman
+      value: 30.71880290978946
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.22799999999999998
+    - type: map_at_10
+      value: 1.559
+    - type: map_at_100
+      value: 8.866
+    - type: map_at_1000
+      value: 23.071
+    - type: map_at_3
+      value: 0.592
+    - type: map_at_5
+      value: 0.906
+    - type: mrr_at_1
+      value: 84.0
+    - type: mrr_at_10
+      value: 88.567
+    - type: mrr_at_100
+      value: 88.748
+    - type: mrr_at_1000
+      value: 88.748
+    - type: mrr_at_3
+      value: 87.667
+    - type: mrr_at_5
+      value: 88.067
+    - type: ndcg_at_1
+      value: 73.0
+    - type: ndcg_at_10
+      value: 62.202999999999996
+    - type: ndcg_at_100
+      value: 49.66
+    - type: ndcg_at_1000
+      value: 48.760999999999996
+    - type: ndcg_at_3
+      value: 67.52
+    - type: ndcg_at_5
+      value: 64.80799999999999
+    - type: precision_at_1
+      value: 84.0
+    - type: precision_at_10
+      value: 65.4
+    - type: precision_at_100
+      value: 51.72
+    - type: precision_at_1000
+      value: 22.014
+    - type: precision_at_3
+      value: 74.0
+    - type: precision_at_5
+      value: 69.19999999999999
+    - type: recall_at_1
+      value: 0.22799999999999998
+    - type: recall_at_10
+      value: 1.7680000000000002
+    - type: recall_at_100
+      value: 12.581999999999999
+    - type: recall_at_1000
+      value: 46.883
+    - type: recall_at_3
+      value: 0.618
+    - type: recall_at_5
+      value: 0.9690000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.295
+    - type: map_at_10
+      value: 7.481
+    - type: map_at_100
+      value: 13.120999999999999
+    - type: map_at_1000
+      value: 14.863999999999999
+    - type: map_at_3
+      value: 3.266
+    - type: map_at_5
+      value: 4.662
+    - type: mrr_at_1
+      value: 14.285999999999998
+    - type: mrr_at_10
+      value: 31.995
+    - type: mrr_at_100
+      value: 33.415
+    - type: mrr_at_1000
+      value: 33.432
+    - type: mrr_at_3
+      value: 27.551
+    - type: mrr_at_5
+      value: 30.306
+    - type: ndcg_at_1
+      value: 11.224
+    - type: ndcg_at_10
+      value: 19.166
+    - type: ndcg_at_100
+      value: 31.86
+    - type: ndcg_at_1000
+      value: 44.668
+    - type: ndcg_at_3
+      value: 17.371
+    - type: ndcg_at_5
+      value: 18.567
+    - type: precision_at_1
+      value: 14.285999999999998
+    - type: precision_at_10
+      value: 18.98
+    - type: precision_at_100
+      value: 7.041
+    - type: precision_at_1000
+      value: 1.555
+    - type: precision_at_3
+      value: 19.728
+    - type: precision_at_5
+      value: 20.816000000000003
+    - type: recall_at_1
+      value: 1.295
+    - type: recall_at_10
+      value: 14.482000000000001
+    - type: recall_at_100
+      value: 45.149
+    - type: recall_at_1000
+      value: 84.317
+    - type: recall_at_3
+      value: 4.484
+    - type: recall_at_5
+      value: 7.7170000000000005
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 72.96340000000001
+    - type: ap
+      value: 15.62835559397026
+    - type: f1
+      value: 56.42561616707867
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 55.280135823429546
+    - type: f1
+      value: 55.61428067547153
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 45.426677723253555
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.57411933003517
+    - type: cos_sim_ap
+      value: 69.68254951354992
+    - type: cos_sim_f1
+      value: 65.05232416646386
+    - type: cos_sim_precision
+      value: 60.36585365853659
+    - type: cos_sim_recall
+      value: 70.52770448548813
+    - type: dot_accuracy
+      value: 84.57411933003517
+    - type: dot_ap
+      value: 69.68256519978905
+    - type: dot_f1
+      value: 65.05232416646386
+    - type: dot_precision
+      value: 60.36585365853659
+    - type: dot_recall
+      value: 70.52770448548813
+    - type: euclidean_accuracy
+      value: 84.57411933003517
+    - type: euclidean_ap
+      value: 69.6825655240522
+    - type: euclidean_f1
+      value: 65.05232416646386
+    - type: euclidean_precision
+      value: 60.36585365853659
+    - type: euclidean_recall
+      value: 70.52770448548813
+    - type: manhattan_accuracy
+      value: 84.5502771651666
+    - type: manhattan_ap
+      value: 69.61700491283233
+    - type: manhattan_f1
+      value: 64.83962148211872
+    - type: manhattan_precision
+      value: 60.68553025074765
+    - type: manhattan_recall
+      value: 69.6042216358839
+    - type: max_accuracy
+      value: 84.57411933003517
+    - type: max_ap
+      value: 69.6825655240522
+    - type: max_f1
+      value: 65.05232416646386
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.80350836341057
+    - type: cos_sim_ap
+      value: 85.41051415803449
+    - type: cos_sim_f1
+      value: 77.99305633329602
+    - type: cos_sim_precision
+      value: 75.70113776360607
+    - type: cos_sim_recall
+      value: 80.42808746535263
+    - type: dot_accuracy
+      value: 88.80350836341057
+    - type: dot_ap
+      value: 85.41051488820463
+    - type: dot_f1
+      value: 77.99305633329602
+    - type: dot_precision
+      value: 75.70113776360607
+    - type: dot_recall
+      value: 80.42808746535263
+    - type: euclidean_accuracy
+      value: 88.80350836341057
+    - type: euclidean_ap
+      value: 85.41051374760137
+    - type: euclidean_f1
+      value: 77.99305633329602
+    - type: euclidean_precision
+      value: 75.70113776360607
+    - type: euclidean_recall
+      value: 80.42808746535263
+    - type: manhattan_accuracy
+      value: 88.74529436876625
+    - type: manhattan_ap
+      value: 85.38380242074525
+    - type: manhattan_f1
+      value: 78.02957839746892
+    - type: manhattan_precision
+      value: 74.71466816964914
+    - type: manhattan_recall
+      value: 81.65229442562365
+    - type: max_accuracy
+      value: 88.80350836341057
+    - type: max_ap
+      value: 85.41051488820463
+    - type: max_f1
+      value: 78.02957839746892
+---
+
+# nomic-embed-text-v1-unsupervised:  
+
+`nomic-embed-text-v1-unsupervised` is 8192 context length text encoder. This is an intermediate checkpoint from multi-stage contrastive training. 
+