init

README.md

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+---
+tags:
+- my_mteb
+model-index:
+- name: xlm3b5_step3len260_b128g8_lr1e-5
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 69.01492537313432
+    - type: ap
+      value: 30.936372983952477
+    - type: f1
+      value: 62.58864357716914
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 95.088975
+    - type: ap
+      value: 92.9329025853096
+    - type: f1
+      value: 95.0864056657106
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 50.524
+    - type: f1
+      value: 49.93715365750685
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.781
+    - type: map_at_10
+      value: 30.854
+    - type: map_at_100
+      value: 32.344
+    - type: map_at_1000
+      value: 32.364
+    - type: map_at_3
+      value: 25.711000000000002
+    - type: map_at_5
+      value: 28.254
+    - type: mrr_at_1
+      value: 18.563
+    - type: mrr_at_10
+      value: 31.137999999999998
+    - type: mrr_at_100
+      value: 32.621
+    - type: mrr_at_1000
+      value: 32.641
+    - type: mrr_at_3
+      value: 25.984
+    - type: mrr_at_5
+      value: 28.53
+    - type: ndcg_at_1
+      value: 17.781
+    - type: ndcg_at_10
+      value: 39.206
+    - type: ndcg_at_100
+      value: 45.751
+    - type: ndcg_at_1000
+      value: 46.225
+    - type: ndcg_at_3
+      value: 28.313
+    - type: ndcg_at_5
+      value: 32.919
+    - type: precision_at_1
+      value: 17.781
+    - type: precision_at_10
+      value: 6.65
+    - type: precision_at_100
+      value: 0.9560000000000001
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 11.949
+    - type: precision_at_5
+      value: 9.417
+    - type: recall_at_1
+      value: 17.781
+    - type: recall_at_10
+      value: 66.501
+    - type: recall_at_100
+      value: 95.59
+    - type: recall_at_1000
+      value: 99.21799999999999
+    - type: recall_at_3
+      value: 35.846000000000004
+    - type: recall_at_5
+      value: 47.083999999999996
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 44.44154312957711
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 34.189712542346385
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 62.72571219134687
+    - type: mrr
+      value: 76.3612979817966
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.62762841254953
+    - type: cos_sim_spearman
+      value: 80.72111639383013
+    - type: euclidean_pearson
+      value: 82.63506732956259
+    - type: euclidean_spearman
+      value: 81.177753304636
+    - type: manhattan_pearson
+      value: 82.5891836637346
+    - type: manhattan_spearman
+      value: 81.06811225217339
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 1.4123376623376624
+    - type: f1
+      value: 0.06543826204021423
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 37.82441952130262
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 32.132057843418416
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.23
+    - type: map_at_10
+      value: 46.763
+    - type: map_at_100
+      value: 48.454
+    - type: map_at_1000
+      value: 48.58
+    - type: map_at_3
+      value: 43.167
+    - type: map_at_5
+      value: 45.214
+    - type: mrr_at_1
+      value: 42.775
+    - type: mrr_at_10
+      value: 53.190000000000005
+    - type: mrr_at_100
+      value: 53.928
+    - type: mrr_at_1000
+      value: 53.964
+    - type: mrr_at_3
+      value: 51.168
+    - type: mrr_at_5
+      value: 52.434000000000005
+    - type: ndcg_at_1
+      value: 42.775
+    - type: ndcg_at_10
+      value: 53.376999999999995
+    - type: ndcg_at_100
+      value: 58.748
+    - type: ndcg_at_1000
+      value: 60.461
+    - type: ndcg_at_3
+      value: 48.929
+    - type: ndcg_at_5
+      value: 50.99399999999999
+    - type: precision_at_1
+      value: 42.775
+    - type: precision_at_10
+      value: 10.428999999999998
+    - type: precision_at_100
+      value: 1.678
+    - type: precision_at_1000
+      value: 0.215
+    - type: precision_at_3
+      value: 23.939
+    - type: precision_at_5
+      value: 17.082
+    - type: recall_at_1
+      value: 34.23
+    - type: recall_at_10
+      value: 64.96300000000001
+    - type: recall_at_100
+      value: 86.803
+    - type: recall_at_1000
+      value: 97.917
+    - type: recall_at_3
+      value: 51.815
+    - type: recall_at_5
+      value: 57.781000000000006
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.935
+    - type: map_at_10
+      value: 39.574999999999996
+    - type: map_at_100
+      value: 40.891
+    - type: map_at_1000
+      value: 41.043
+    - type: map_at_3
+      value: 36.248999999999995
+    - type: map_at_5
+      value: 38.157999999999994
+    - type: mrr_at_1
+      value: 36.624
+    - type: mrr_at_10
+      value: 45.241
+    - type: mrr_at_100
+      value: 46.028000000000006
+    - type: mrr_at_1000
+      value: 46.082
+    - type: mrr_at_3
+      value: 42.93
+    - type: mrr_at_5
+      value: 44.417
+    - type: ndcg_at_1
+      value: 36.624
+    - type: ndcg_at_10
+      value: 45.423
+    - type: ndcg_at_100
+      value: 49.971
+    - type: ndcg_at_1000
+      value: 52.382
+    - type: ndcg_at_3
+      value: 41.019
+    - type: ndcg_at_5
+      value: 43.254
+    - type: precision_at_1
+      value: 36.624
+    - type: precision_at_10
+      value: 8.86
+    - type: precision_at_100
+      value: 1.458
+    - type: precision_at_1000
+      value: 0.198
+    - type: precision_at_3
+      value: 20.276
+    - type: precision_at_5
+      value: 14.573
+    - type: recall_at_1
+      value: 28.935
+    - type: recall_at_10
+      value: 55.745999999999995
+    - type: recall_at_100
+      value: 74.977
+    - type: recall_at_1000
+      value: 90.505
+    - type: recall_at_3
+      value: 42.575
+    - type: recall_at_5
+      value: 48.902
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 38.828
+    - type: map_at_10
+      value: 50.888999999999996
+    - type: map_at_100
+      value: 52.001
+    - type: map_at_1000
+      value: 52.054
+    - type: map_at_3
+      value: 47.638999999999996
+    - type: map_at_5
+      value: 49.423
+    - type: mrr_at_1
+      value: 44.765
+    - type: mrr_at_10
+      value: 54.408
+    - type: mrr_at_100
+      value: 55.116
+    - type: mrr_at_1000
+      value: 55.144000000000005
+    - type: mrr_at_3
+      value: 52.038
+    - type: mrr_at_5
+      value: 53.323
+    - type: ndcg_at_1
+      value: 44.765
+    - type: ndcg_at_10
+      value: 56.724
+    - type: ndcg_at_100
+      value: 61.058
+    - type: ndcg_at_1000
+      value: 62.125
+    - type: ndcg_at_3
+      value: 51.324000000000005
+    - type: ndcg_at_5
+      value: 53.805
+    - type: precision_at_1
+      value: 44.765
+    - type: precision_at_10
+      value: 9.248000000000001
+    - type: precision_at_100
+      value: 1.234
+    - type: precision_at_1000
+      value: 0.136
+    - type: precision_at_3
+      value: 23.093
+    - type: precision_at_5
+      value: 15.799
+    - type: recall_at_1
+      value: 38.828
+    - type: recall_at_10
+      value: 70.493
+    - type: recall_at_100
+      value: 89.293
+    - type: recall_at_1000
+      value: 96.872
+    - type: recall_at_3
+      value: 55.74400000000001
+    - type: recall_at_5
+      value: 61.95
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.085
+    - type: map_at_10
+      value: 30.070000000000004
+    - type: map_at_100
+      value: 31.206
+    - type: map_at_1000
+      value: 31.291999999999998
+    - type: map_at_3
+      value: 27.011000000000003
+    - type: map_at_5
+      value: 28.854999999999997
+    - type: mrr_at_1
+      value: 23.842
+    - type: mrr_at_10
+      value: 31.755
+    - type: mrr_at_100
+      value: 32.778
+    - type: mrr_at_1000
+      value: 32.845
+    - type: mrr_at_3
+      value: 28.851
+    - type: mrr_at_5
+      value: 30.574
+    - type: ndcg_at_1
+      value: 23.842
+    - type: ndcg_at_10
+      value: 35.052
+    - type: ndcg_at_100
+      value: 40.550999999999995
+    - type: ndcg_at_1000
+      value: 42.789
+    - type: ndcg_at_3
+      value: 29.096
+    - type: ndcg_at_5
+      value: 32.251000000000005
+    - type: precision_at_1
+      value: 23.842
+    - type: precision_at_10
+      value: 5.605
+    - type: precision_at_100
+      value: 0.877
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 12.316
+    - type: precision_at_5
+      value: 9.13
+    - type: recall_at_1
+      value: 22.085
+    - type: recall_at_10
+      value: 48.815999999999995
+    - type: recall_at_100
+      value: 74.039
+    - type: recall_at_1000
+      value: 90.872
+    - type: recall_at_3
+      value: 33.098
+    - type: recall_at_5
+      value: 40.647
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.088999999999999
+    - type: map_at_10
+      value: 21.526
+    - type: map_at_100
+      value: 22.832
+    - type: map_at_1000
+      value: 22.958000000000002
+    - type: map_at_3
+      value: 18.747
+    - type: map_at_5
+      value: 20.396
+    - type: mrr_at_1
+      value: 17.662
+    - type: mrr_at_10
+      value: 25.513
+    - type: mrr_at_100
+      value: 26.621
+    - type: mrr_at_1000
+      value: 26.698
+    - type: mrr_at_3
+      value: 22.658
+    - type: mrr_at_5
+      value: 24.449
+    - type: ndcg_at_1
+      value: 17.662
+    - type: ndcg_at_10
+      value: 26.506999999999998
+    - type: ndcg_at_100
+      value: 32.782
+    - type: ndcg_at_1000
+      value: 35.709999999999994
+    - type: ndcg_at_3
+      value: 21.279
+    - type: ndcg_at_5
+      value: 23.998
+    - type: precision_at_1
+      value: 17.662
+    - type: precision_at_10
+      value: 5.124
+    - type: precision_at_100
+      value: 0.951
+    - type: precision_at_1000
+      value: 0.133
+    - type: precision_at_3
+      value: 10.323
+    - type: precision_at_5
+      value: 8.158999999999999
+    - type: recall_at_1
+      value: 14.088999999999999
+    - type: recall_at_10
+      value: 37.874
+    - type: recall_at_100
+      value: 65.34100000000001
+    - type: recall_at_1000
+      value: 86.06099999999999
+    - type: recall_at_3
+      value: 23.738999999999997
+    - type: recall_at_5
+      value: 30.359
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.75
+    - type: map_at_10
+      value: 34.156
+    - type: map_at_100
+      value: 35.638999999999996
+    - type: map_at_1000
+      value: 35.754999999999995
+    - type: map_at_3
+      value: 31.047000000000004
+    - type: map_at_5
+      value: 32.823
+    - type: mrr_at_1
+      value: 30.991000000000003
+    - type: mrr_at_10
+      value: 39.509
+    - type: mrr_at_100
+      value: 40.582
+    - type: mrr_at_1000
+      value: 40.636
+    - type: mrr_at_3
+      value: 37.103
+    - type: mrr_at_5
+      value: 38.503
+    - type: ndcg_at_1
+      value: 30.991000000000003
+    - type: ndcg_at_10
+      value: 39.719
+    - type: ndcg_at_100
+      value: 45.984
+    - type: ndcg_at_1000
+      value: 48.293
+    - type: ndcg_at_3
+      value: 34.92
+    - type: ndcg_at_5
+      value: 37.253
+    - type: precision_at_1
+      value: 30.991000000000003
+    - type: precision_at_10
+      value: 7.3340000000000005
+    - type: precision_at_100
+      value: 1.225
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 16.586000000000002
+    - type: precision_at_5
+      value: 12.127
+    - type: recall_at_1
+      value: 24.75
+    - type: recall_at_10
+      value: 51.113
+    - type: recall_at_100
+      value: 77.338
+    - type: recall_at_1000
+      value: 92.764
+    - type: recall_at_3
+      value: 37.338
+    - type: recall_at_5
+      value: 43.437
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.158
+    - type: map_at_10
+      value: 32.877
+    - type: map_at_100
+      value: 34.226
+    - type: map_at_1000
+      value: 34.35
+    - type: map_at_3
+      value: 29.43
+    - type: map_at_5
+      value: 31.319000000000003
+    - type: mrr_at_1
+      value: 29.224
+    - type: mrr_at_10
+      value: 38.080000000000005
+    - type: mrr_at_100
+      value: 39.04
+    - type: mrr_at_1000
+      value: 39.097
+    - type: mrr_at_3
+      value: 35.407
+    - type: mrr_at_5
+      value: 36.771
+    - type: ndcg_at_1
+      value: 29.224
+    - type: ndcg_at_10
+      value: 38.805
+    - type: ndcg_at_100
+      value: 44.746
+    - type: ndcg_at_1000
+      value: 47.038000000000004
+    - type: ndcg_at_3
+      value: 33.269
+    - type: ndcg_at_5
+      value: 35.611
+    - type: precision_at_1
+      value: 29.224
+    - type: precision_at_10
+      value: 7.454
+    - type: precision_at_100
+      value: 1.221
+    - type: precision_at_1000
+      value: 0.16199999999999998
+    - type: precision_at_3
+      value: 16.134
+    - type: precision_at_5
+      value: 11.895
+    - type: recall_at_1
+      value: 23.158
+    - type: recall_at_10
+      value: 51.487
+    - type: recall_at_100
+      value: 77.464
+    - type: recall_at_1000
+      value: 92.525
+    - type: recall_at_3
+      value: 35.478
+    - type: recall_at_5
+      value: 41.722
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.456916666666668
+    - type: map_at_10
+      value: 33.5495
+    - type: map_at_100
+      value: 34.86808333333333
+    - type: map_at_1000
+      value: 34.98908333333333
+    - type: map_at_3
+      value: 30.59158333333334
+    - type: map_at_5
+      value: 32.24916666666667
+    - type: mrr_at_1
+      value: 29.387250000000005
+    - type: mrr_at_10
+      value: 37.73958333333333
+    - type: mrr_at_100
+      value: 38.6595
+    - type: mrr_at_1000
+      value: 38.718250000000005
+    - type: mrr_at_3
+      value: 35.31658333333333
+    - type: mrr_at_5
+      value: 36.69441666666667
+    - type: ndcg_at_1
+      value: 29.387250000000005
+    - type: ndcg_at_10
+      value: 38.910333333333334
+    - type: ndcg_at_100
+      value: 44.40241666666666
+    - type: ndcg_at_1000
+      value: 46.72008333333334
+    - type: ndcg_at_3
+      value: 34.045583333333326
+    - type: ndcg_at_5
+      value: 36.33725
+    - type: precision_at_1
+      value: 29.387250000000005
+    - type: precision_at_10
+      value: 7.034666666666668
+    - type: precision_at_100
+      value: 1.1698333333333333
+    - type: precision_at_1000
+      value: 0.15599999999999997
+    - type: precision_at_3
+      value: 15.866416666666666
+    - type: precision_at_5
+      value: 11.456333333333331
+    - type: recall_at_1
+      value: 24.456916666666668
+    - type: recall_at_10
+      value: 50.47758333333333
+    - type: recall_at_100
+      value: 74.52275
+    - type: recall_at_1000
+      value: 90.7105
+    - type: recall_at_3
+      value: 36.86275
+    - type: recall_at_5
+      value: 42.76533333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.356
+    - type: map_at_10
+      value: 25.378
+    - type: map_at_100
+      value: 26.349
+    - type: map_at_1000
+      value: 26.451
+    - type: map_at_3
+      value: 23.403
+    - type: map_at_5
+      value: 24.614
+    - type: mrr_at_1
+      value: 22.086
+    - type: mrr_at_10
+      value: 28.072000000000003
+    - type: mrr_at_100
+      value: 28.887
+    - type: mrr_at_1000
+      value: 28.965999999999998
+    - type: mrr_at_3
+      value: 26.074
+    - type: mrr_at_5
+      value: 27.293
+    - type: ndcg_at_1
+      value: 22.086
+    - type: ndcg_at_10
+      value: 29.107
+    - type: ndcg_at_100
+      value: 34.0
+    - type: ndcg_at_1000
+      value: 36.793
+    - type: ndcg_at_3
+      value: 25.407999999999998
+    - type: ndcg_at_5
+      value: 27.375
+    - type: precision_at_1
+      value: 22.086
+    - type: precision_at_10
+      value: 4.678
+    - type: precision_at_100
+      value: 0.7779999999999999
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_3
+      value: 10.992
+    - type: precision_at_5
+      value: 7.853000000000001
+    - type: recall_at_1
+      value: 19.356
+    - type: recall_at_10
+      value: 37.913999999999994
+    - type: recall_at_100
+      value: 60.507999999999996
+    - type: recall_at_1000
+      value: 81.459
+    - type: recall_at_3
+      value: 27.874
+    - type: recall_at_5
+      value: 32.688
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.008
+    - type: map_at_10
+      value: 22.431
+    - type: map_at_100
+      value: 23.61
+    - type: map_at_1000
+      value: 23.743
+    - type: map_at_3
+      value: 20.358
+    - type: map_at_5
+      value: 21.371000000000002
+    - type: mrr_at_1
+      value: 19.752
+    - type: mrr_at_10
+      value: 26.333000000000002
+    - type: mrr_at_100
+      value: 27.297
+    - type: mrr_at_1000
+      value: 27.378000000000004
+    - type: mrr_at_3
+      value: 24.358
+    - type: mrr_at_5
+      value: 25.354
+    - type: ndcg_at_1
+      value: 19.752
+    - type: ndcg_at_10
+      value: 26.712000000000003
+    - type: ndcg_at_100
+      value: 32.294
+    - type: ndcg_at_1000
+      value: 35.410000000000004
+    - type: ndcg_at_3
+      value: 22.974
+    - type: ndcg_at_5
+      value: 24.412
+    - type: precision_at_1
+      value: 19.752
+    - type: precision_at_10
+      value: 4.986
+    - type: precision_at_100
+      value: 0.924
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 10.966
+    - type: precision_at_5
+      value: 7.832
+    - type: recall_at_1
+      value: 16.008
+    - type: recall_at_10
+      value: 35.716
+    - type: recall_at_100
+      value: 60.76200000000001
+    - type: recall_at_1000
+      value: 83.204
+    - type: recall_at_3
+      value: 25.092
+    - type: recall_at_5
+      value: 28.858
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.743000000000002
+    - type: map_at_10
+      value: 34.492
+    - type: map_at_100
+      value: 35.716
+    - type: map_at_1000
+      value: 35.815999999999995
+    - type: map_at_3
+      value: 31.201
+    - type: map_at_5
+      value: 32.926
+    - type: mrr_at_1
+      value: 29.384
+    - type: mrr_at_10
+      value: 38.333
+    - type: mrr_at_100
+      value: 39.278
+    - type: mrr_at_1000
+      value: 39.330999999999996
+    - type: mrr_at_3
+      value: 35.65
+    - type: mrr_at_5
+      value: 36.947
+    - type: ndcg_at_1
+      value: 29.384
+    - type: ndcg_at_10
+      value: 40.195
+    - type: ndcg_at_100
+      value: 45.686
+    - type: ndcg_at_1000
+      value: 47.906
+    - type: ndcg_at_3
+      value: 34.477000000000004
+    - type: ndcg_at_5
+      value: 36.89
+    - type: precision_at_1
+      value: 29.384
+    - type: precision_at_10
+      value: 7.164
+    - type: precision_at_100
+      value: 1.111
+    - type: precision_at_1000
+      value: 0.13999999999999999
+    - type: precision_at_3
+      value: 15.983
+    - type: precision_at_5
+      value: 11.418000000000001
+    - type: recall_at_1
+      value: 24.743000000000002
+    - type: recall_at_10
+      value: 53.602000000000004
+    - type: recall_at_100
+      value: 77.266
+    - type: recall_at_1000
+      value: 92.857
+    - type: recall_at_3
+      value: 37.921
+    - type: recall_at_5
+      value: 44.124
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.531
+    - type: map_at_10
+      value: 35.933
+    - type: map_at_100
+      value: 37.913000000000004
+    - type: map_at_1000
+      value: 38.146
+    - type: map_at_3
+      value: 32.713
+    - type: map_at_5
+      value: 34.339999999999996
+    - type: mrr_at_1
+      value: 32.806000000000004
+    - type: mrr_at_10
+      value: 41.728
+    - type: mrr_at_100
+      value: 42.731
+    - type: mrr_at_1000
+      value: 42.777
+    - type: mrr_at_3
+      value: 39.065
+    - type: mrr_at_5
+      value: 40.467999999999996
+    - type: ndcg_at_1
+      value: 32.806000000000004
+    - type: ndcg_at_10
+      value: 42.254999999999995
+    - type: ndcg_at_100
+      value: 48.687999999999995
+    - type: ndcg_at_1000
+      value: 50.784
+    - type: ndcg_at_3
+      value: 37.330999999999996
+    - type: ndcg_at_5
+      value: 39.305
+    - type: precision_at_1
+      value: 32.806000000000004
+    - type: precision_at_10
+      value: 8.34
+    - type: precision_at_100
+      value: 1.7209999999999999
+    - type: precision_at_1000
+      value: 0.252
+    - type: precision_at_3
+      value: 17.589
+    - type: precision_at_5
+      value: 12.845999999999998
+    - type: recall_at_1
+      value: 26.531
+    - type: recall_at_10
+      value: 53.266000000000005
+    - type: recall_at_100
+      value: 81.49499999999999
+    - type: recall_at_1000
+      value: 94.506
+    - type: recall_at_3
+      value: 38.848
+    - type: recall_at_5
+      value: 44.263000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.77
+    - type: map_at_10
+      value: 28.504
+    - type: map_at_100
+      value: 29.580000000000002
+    - type: map_at_1000
+      value: 29.681
+    - type: map_at_3
+      value: 26.134
+    - type: map_at_5
+      value: 27.551
+    - type: mrr_at_1
+      value: 22.736
+    - type: mrr_at_10
+      value: 30.713
+    - type: mrr_at_100
+      value: 31.628
+    - type: mrr_at_1000
+      value: 31.701
+    - type: mrr_at_3
+      value: 28.497
+    - type: mrr_at_5
+      value: 29.799999999999997
+    - type: ndcg_at_1
+      value: 22.736
+    - type: ndcg_at_10
+      value: 33.048
+    - type: ndcg_at_100
+      value: 38.321
+    - type: ndcg_at_1000
+      value: 40.949999999999996
+    - type: ndcg_at_3
+      value: 28.521
+    - type: ndcg_at_5
+      value: 30.898999999999997
+    - type: precision_at_1
+      value: 22.736
+    - type: precision_at_10
+      value: 5.194
+    - type: precision_at_100
+      value: 0.86
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 12.2
+    - type: precision_at_5
+      value: 8.762
+    - type: recall_at_1
+      value: 20.77
+    - type: recall_at_10
+      value: 44.741
+    - type: recall_at_100
+      value: 68.987
+    - type: recall_at_1000
+      value: 88.984
+    - type: recall_at_3
+      value: 32.830999999999996
+    - type: recall_at_5
+      value: 38.452999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.646
+    - type: map_at_10
+      value: 17.432
+    - type: map_at_100
+      value: 19.347
+    - type: map_at_1000
+      value: 19.555
+    - type: map_at_3
+      value: 14.355
+    - type: map_at_5
+      value: 15.83
+    - type: mrr_at_1
+      value: 21.433
+    - type: mrr_at_10
+      value: 32.583
+    - type: mrr_at_100
+      value: 33.708
+    - type: mrr_at_1000
+      value: 33.751999999999995
+    - type: mrr_at_3
+      value: 28.979
+    - type: mrr_at_5
+      value: 30.979
+    - type: ndcg_at_1
+      value: 21.433
+    - type: ndcg_at_10
+      value: 25.025
+    - type: ndcg_at_100
+      value: 32.818999999999996
+    - type: ndcg_at_1000
+      value: 36.549
+    - type: ndcg_at_3
+      value: 19.689
+    - type: ndcg_at_5
+      value: 21.462
+    - type: precision_at_1
+      value: 21.433
+    - type: precision_at_10
+      value: 8.085
+    - type: precision_at_100
+      value: 1.6340000000000001
+    - type: precision_at_1000
+      value: 0.233
+    - type: precision_at_3
+      value: 14.832
+    - type: precision_at_5
+      value: 11.530999999999999
+    - type: recall_at_1
+      value: 9.646
+    - type: recall_at_10
+      value: 31.442999999999998
+    - type: recall_at_100
+      value: 58.48
+    - type: recall_at_1000
+      value: 79.253
+    - type: recall_at_3
+      value: 18.545
+    - type: recall_at_5
+      value: 23.362
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.48
+    - type: map_at_10
+      value: 18.127
+    - type: map_at_100
+      value: 25.563999999999997
+    - type: map_at_1000
+      value: 27.386
+    - type: map_at_3
+      value: 13.189
+    - type: map_at_5
+      value: 15.417
+    - type: mrr_at_1
+      value: 63.74999999999999
+    - type: mrr_at_10
+      value: 71.34899999999999
+    - type: mrr_at_100
+      value: 71.842
+    - type: mrr_at_1000
+      value: 71.851
+    - type: mrr_at_3
+      value: 69.167
+    - type: mrr_at_5
+      value: 70.479
+    - type: ndcg_at_1
+      value: 51.87500000000001
+    - type: ndcg_at_10
+      value: 38.792
+    - type: ndcg_at_100
+      value: 43.889
+    - type: ndcg_at_1000
+      value: 51.561
+    - type: ndcg_at_3
+      value: 42.686
+    - type: ndcg_at_5
+      value: 40.722
+    - type: precision_at_1
+      value: 63.74999999999999
+    - type: precision_at_10
+      value: 30.375000000000004
+    - type: precision_at_100
+      value: 10.103
+    - type: precision_at_1000
+      value: 2.257
+    - type: precision_at_3
+      value: 45.167
+    - type: precision_at_5
+      value: 38.95
+    - type: recall_at_1
+      value: 8.48
+    - type: recall_at_10
+      value: 23.008
+    - type: recall_at_100
+      value: 48.875
+    - type: recall_at_1000
+      value: 73.402
+    - type: recall_at_3
+      value: 14.377
+    - type: recall_at_5
+      value: 17.819
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 47.605
+    - type: f1
+      value: 42.345081371303316
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 62.247
+    - type: map_at_10
+      value: 72.782
+    - type: map_at_100
+      value: 73.095
+    - type: map_at_1000
+      value: 73.112
+    - type: map_at_3
+      value: 70.928
+    - type: map_at_5
+      value: 72.173
+    - type: mrr_at_1
+      value: 67.372
+    - type: mrr_at_10
+      value: 77.538
+    - type: mrr_at_100
+      value: 77.741
+    - type: mrr_at_1000
+      value: 77.74600000000001
+    - type: mrr_at_3
+      value: 75.938
+    - type: mrr_at_5
+      value: 77.054
+    - type: ndcg_at_1
+      value: 67.372
+    - type: ndcg_at_10
+      value: 78.001
+    - type: ndcg_at_100
+      value: 79.295
+    - type: ndcg_at_1000
+      value: 79.648
+    - type: ndcg_at_3
+      value: 74.71
+    - type: ndcg_at_5
+      value: 76.712
+    - type: precision_at_1
+      value: 67.372
+    - type: precision_at_10
+      value: 9.844999999999999
+    - type: precision_at_100
+      value: 1.065
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 29.308
+    - type: precision_at_5
+      value: 18.731
+    - type: recall_at_1
+      value: 62.247
+    - type: recall_at_10
+      value: 89.453
+    - type: recall_at_100
+      value: 94.998
+    - type: recall_at_1000
+      value: 97.385
+    - type: recall_at_3
+      value: 80.563
+    - type: recall_at_5
+      value: 85.58099999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.587
+    - type: map_at_10
+      value: 37.316
+    - type: map_at_100
+      value: 39.542
+    - type: map_at_1000
+      value: 39.701
+    - type: map_at_3
+      value: 32.332
+    - type: map_at_5
+      value: 35.172
+    - type: mrr_at_1
+      value: 42.437999999999995
+    - type: mrr_at_10
+      value: 51.98500000000001
+    - type: mrr_at_100
+      value: 52.910999999999994
+    - type: mrr_at_1000
+      value: 52.944
+    - type: mrr_at_3
+      value: 49.691
+    - type: mrr_at_5
+      value: 51.15
+    - type: ndcg_at_1
+      value: 42.437999999999995
+    - type: ndcg_at_10
+      value: 45.016
+    - type: ndcg_at_100
+      value: 52.541000000000004
+    - type: ndcg_at_1000
+      value: 54.99699999999999
+    - type: ndcg_at_3
+      value: 41.175
+    - type: ndcg_at_5
+      value: 42.647
+    - type: precision_at_1
+      value: 42.437999999999995
+    - type: precision_at_10
+      value: 12.855
+    - type: precision_at_100
+      value: 2.049
+    - type: precision_at_1000
+      value: 0.247
+    - type: precision_at_3
+      value: 27.675
+    - type: precision_at_5
+      value: 20.617
+    - type: recall_at_1
+      value: 22.587
+    - type: recall_at_10
+      value: 51.547
+    - type: recall_at_100
+      value: 78.88
+    - type: recall_at_1000
+      value: 93.741
+    - type: recall_at_3
+      value: 37.256
+    - type: recall_at_5
+      value: 44.295
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.451
+    - type: map_at_10
+      value: 48.082
+    - type: map_at_100
+      value: 49.08
+    - type: map_at_1000
+      value: 49.163000000000004
+    - type: map_at_3
+      value: 44.766
+    - type: map_at_5
+      value: 46.722
+    - type: mrr_at_1
+      value: 64.902
+    - type: mrr_at_10
+      value: 72.195
+    - type: mrr_at_100
+      value: 72.572
+    - type: mrr_at_1000
+      value: 72.589
+    - type: mrr_at_3
+      value: 70.774
+    - type: mrr_at_5
+      value: 71.611
+    - type: ndcg_at_1
+      value: 64.902
+    - type: ndcg_at_10
+      value: 57.14399999999999
+    - type: ndcg_at_100
+      value: 60.916000000000004
+    - type: ndcg_at_1000
+      value: 62.649
+    - type: ndcg_at_3
+      value: 52.09
+    - type: ndcg_at_5
+      value: 54.70399999999999
+    - type: precision_at_1
+      value: 64.902
+    - type: precision_at_10
+      value: 12.136
+    - type: precision_at_100
+      value: 1.51
+    - type: precision_at_1000
+      value: 0.174
+    - type: precision_at_3
+      value: 32.933
+    - type: precision_at_5
+      value: 21.823
+    - type: recall_at_1
+      value: 32.451
+    - type: recall_at_10
+      value: 60.682
+    - type: recall_at_100
+      value: 75.523
+    - type: recall_at_1000
+      value: 87.063
+    - type: recall_at_3
+      value: 49.399
+    - type: recall_at_5
+      value: 54.55799999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 89.48759999999997
+    - type: ap
+      value: 85.15533983465178
+    - type: f1
+      value: 89.46732838870311
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.942
+    - type: map_at_10
+      value: 29.755
+    - type: map_at_100
+      value: 31.008000000000003
+    - type: map_at_1000
+      value: 31.067
+    - type: map_at_3
+      value: 25.959
+    - type: map_at_5
+      value: 28.044999999999998
+    - type: mrr_at_1
+      value: 18.467
+    - type: mrr_at_10
+      value: 30.253000000000004
+    - type: mrr_at_100
+      value: 31.461
+    - type: mrr_at_1000
+      value: 31.513
+    - type: mrr_at_3
+      value: 26.528000000000002
+    - type: mrr_at_5
+      value: 28.588
+    - type: ndcg_at_1
+      value: 18.467
+    - type: ndcg_at_10
+      value: 36.510999999999996
+    - type: ndcg_at_100
+      value: 42.748999999999995
+    - type: ndcg_at_1000
+      value: 44.188
+    - type: ndcg_at_3
+      value: 28.752
+    - type: ndcg_at_5
+      value: 32.462
+    - type: precision_at_1
+      value: 18.467
+    - type: precision_at_10
+      value: 6.006
+    - type: precision_at_100
+      value: 0.9169999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 12.55
+    - type: precision_at_5
+      value: 9.395000000000001
+    - type: recall_at_1
+      value: 17.942
+    - type: recall_at_10
+      value: 57.440000000000005
+    - type: recall_at_100
+      value: 86.66199999999999
+    - type: recall_at_1000
+      value: 97.613
+    - type: recall_at_3
+      value: 36.271
+    - type: recall_at_5
+      value: 45.167
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 20.503875968992244
+    - type: f1
+      value: 13.560556256747041
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 1.5868673050615598
+    - type: f1
+      value: 0.07893368834661864
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 1.815736381977135
+    - type: f1
+      value: 0.07389251629624266
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 7.89172831203766
+    - type: f1
+      value: 0.8047482245600247
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 33.88016176143737
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 32.07643038274053
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.81344342001539
+    - type: mrr
+      value: 31.82078962760685
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.617
+    - type: map_at_10
+      value: 11.501
+    - type: map_at_100
+      value: 14.729999999999999
+    - type: map_at_1000
+      value: 16.209
+    - type: map_at_3
+      value: 8.275
+    - type: map_at_5
+      value: 9.853000000000002
+    - type: mrr_at_1
+      value: 41.486000000000004
+    - type: mrr_at_10
+      value: 51.471999999999994
+    - type: mrr_at_100
+      value: 52.020999999999994
+    - type: mrr_at_1000
+      value: 52.066
+    - type: mrr_at_3
+      value: 49.484
+    - type: mrr_at_5
+      value: 50.660000000000004
+    - type: ndcg_at_1
+      value: 38.854
+    - type: ndcg_at_10
+      value: 31.567
+    - type: ndcg_at_100
+      value: 29.842999999999996
+    - type: ndcg_at_1000
+      value: 38.995000000000005
+    - type: ndcg_at_3
+      value: 36.785000000000004
+    - type: ndcg_at_5
+      value: 34.955000000000005
+    - type: precision_at_1
+      value: 40.867
+    - type: precision_at_10
+      value: 23.591
+    - type: precision_at_100
+      value: 7.771
+    - type: precision_at_1000
+      value: 2.11
+    - type: precision_at_3
+      value: 35.397
+    - type: precision_at_5
+      value: 30.959999999999997
+    - type: recall_at_1
+      value: 4.617
+    - type: recall_at_10
+      value: 15.609
+    - type: recall_at_100
+      value: 31.313999999999997
+    - type: recall_at_1000
+      value: 63.085
+    - type: recall_at_3
+      value: 9.746
+    - type: recall_at_5
+      value: 12.295
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.797
+    - type: map_at_10
+      value: 44.822
+    - type: map_at_100
+      value: 45.891999999999996
+    - type: map_at_1000
+      value: 45.919
+    - type: map_at_3
+      value: 40.237
+    - type: map_at_5
+      value: 42.913000000000004
+    - type: mrr_at_1
+      value: 32.561
+    - type: mrr_at_10
+      value: 46.982
+    - type: mrr_at_100
+      value: 47.827
+    - type: mrr_at_1000
+      value: 47.843999999999994
+    - type: mrr_at_3
+      value: 43.26
+    - type: mrr_at_5
+      value: 45.527
+    - type: ndcg_at_1
+      value: 32.532
+    - type: ndcg_at_10
+      value: 52.832
+    - type: ndcg_at_100
+      value: 57.343999999999994
+    - type: ndcg_at_1000
+      value: 57.93899999999999
+    - type: ndcg_at_3
+      value: 44.246
+    - type: ndcg_at_5
+      value: 48.698
+    - type: precision_at_1
+      value: 32.532
+    - type: precision_at_10
+      value: 9.003
+    - type: precision_at_100
+      value: 1.1480000000000001
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 20.605999999999998
+    - type: precision_at_5
+      value: 14.954
+    - type: recall_at_1
+      value: 28.797
+    - type: recall_at_10
+      value: 75.065
+    - type: recall_at_100
+      value: 94.6
+    - type: recall_at_1000
+      value: 98.967
+    - type: recall_at_3
+      value: 52.742
+    - type: recall_at_5
+      value: 63.012
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.84700000000001
+    - type: map_at_10
+      value: 83.91499999999999
+    - type: map_at_100
+      value: 84.568
+    - type: map_at_1000
+      value: 84.584
+    - type: map_at_3
+      value: 80.87299999999999
+    - type: map_at_5
+      value: 82.76299999999999
+    - type: mrr_at_1
+      value: 80.4
+    - type: mrr_at_10
+      value: 86.843
+    - type: mrr_at_100
+      value: 86.956
+    - type: mrr_at_1000
+      value: 86.957
+    - type: mrr_at_3
+      value: 85.843
+    - type: mrr_at_5
+      value: 86.521
+    - type: ndcg_at_1
+      value: 80.4
+    - type: ndcg_at_10
+      value: 87.787
+    - type: ndcg_at_100
+      value: 89.039
+    - type: ndcg_at_1000
+      value: 89.137
+    - type: ndcg_at_3
+      value: 84.76700000000001
+    - type: ndcg_at_5
+      value: 86.413
+    - type: precision_at_1
+      value: 80.4
+    - type: precision_at_10
+      value: 13.391
+    - type: precision_at_100
+      value: 1.533
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.123
+    - type: precision_at_5
+      value: 24.462
+    - type: recall_at_1
+      value: 69.84700000000001
+    - type: recall_at_10
+      value: 95.296
+    - type: recall_at_100
+      value: 99.543
+    - type: recall_at_1000
+      value: 99.98700000000001
+    - type: recall_at_3
+      value: 86.75
+    - type: recall_at_5
+      value: 91.33099999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 54.24501738730203
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 61.28243705082983
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.473
+    - type: map_at_10
+      value: 8.944
+    - type: map_at_100
+      value: 11.21
+    - type: map_at_1000
+      value: 11.601
+    - type: map_at_3
+      value: 6.167
+    - type: map_at_5
+      value: 7.438000000000001
+    - type: mrr_at_1
+      value: 17.1
+    - type: mrr_at_10
+      value: 26.487
+    - type: mrr_at_100
+      value: 27.888
+    - type: mrr_at_1000
+      value: 27.961000000000002
+    - type: mrr_at_3
+      value: 23.25
+    - type: mrr_at_5
+      value: 24.91
+    - type: ndcg_at_1
+      value: 17.1
+    - type: ndcg_at_10
+      value: 15.615000000000002
+    - type: ndcg_at_100
+      value: 24.667
+    - type: ndcg_at_1000
+      value: 31.467
+    - type: ndcg_at_3
+      value: 14.035
+    - type: ndcg_at_5
+      value: 12.443
+    - type: precision_at_1
+      value: 17.1
+    - type: precision_at_10
+      value: 8.4
+    - type: precision_at_100
+      value: 2.149
+    - type: precision_at_1000
+      value: 0.378
+    - type: precision_at_3
+      value: 13.200000000000001
+    - type: precision_at_5
+      value: 11.06
+    - type: recall_at_1
+      value: 3.473
+    - type: recall_at_10
+      value: 17.087
+    - type: recall_at_100
+      value: 43.641999999999996
+    - type: recall_at_1000
+      value: 76.7
+    - type: recall_at_3
+      value: 8.037999999999998
+    - type: recall_at_5
+      value: 11.232000000000001
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.07032781899852
+    - type: cos_sim_spearman
+      value: 81.86668245459153
+    - type: euclidean_pearson
+      value: 83.75572948495356
+    - type: euclidean_spearman
+      value: 81.88575221829207
+    - type: manhattan_pearson
+      value: 83.73171218997966
+    - type: manhattan_spearman
+      value: 81.85928771458329
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.29008828604368
+    - type: cos_sim_spearman
+      value: 70.7510437896188
+    - type: euclidean_pearson
+      value: 76.65867322096001
+    - type: euclidean_spearman
+      value: 70.53984435296805
+    - type: manhattan_pearson
+      value: 76.6398826461678
+    - type: manhattan_spearman
+      value: 70.55153706770477
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.55610063096913
+    - type: cos_sim_spearman
+      value: 84.36676850545378
+    - type: euclidean_pearson
+      value: 82.81438612985889
+    - type: euclidean_spearman
+      value: 84.182693686057
+    - type: manhattan_pearson
+      value: 82.8355239074719
+    - type: manhattan_spearman
+      value: 84.19280249146543
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.94275022740113
+    - type: cos_sim_spearman
+      value: 74.50851813226338
+    - type: euclidean_pearson
+      value: 77.30867917552419
+    - type: euclidean_spearman
+      value: 74.55661368823343
+    - type: manhattan_pearson
+      value: 77.31883134876524
+    - type: manhattan_spearman
+      value: 74.58999819014154
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.62907185533146
+    - type: cos_sim_spearman
+      value: 86.40667080261993
+    - type: euclidean_pearson
+      value: 85.15184748925726
+    - type: euclidean_spearman
+      value: 86.33853519247509
+    - type: manhattan_pearson
+      value: 85.21542426870172
+    - type: manhattan_spearman
+      value: 86.4076178438401
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.42449758804275
+    - type: cos_sim_spearman
+      value: 84.7411616479609
+    - type: euclidean_pearson
+      value: 83.56616729612806
+    - type: euclidean_spearman
+      value: 84.44493050289694
+    - type: manhattan_pearson
+      value: 83.50906591764574
+    - type: manhattan_spearman
+      value: 84.39704993090794
+  - 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: 88.84843806728331
+    - type: cos_sim_spearman
+      value: 89.03139214250334
+    - type: euclidean_pearson
+      value: 89.63615835813032
+    - type: euclidean_spearman
+      value: 89.33022202130817
+    - type: manhattan_pearson
+      value: 89.67071925715891
+    - type: manhattan_spearman
+      value: 89.29339683171531
+  - 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: 65.65559857216783
+    - type: cos_sim_spearman
+      value: 65.86805861979079
+    - type: euclidean_pearson
+      value: 66.69697475461513
+    - type: euclidean_spearman
+      value: 66.07735691378713
+    - type: manhattan_pearson
+      value: 66.63427637906918
+    - type: manhattan_spearman
+      value: 65.95720565040364
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.06435608928308
+    - type: cos_sim_spearman
+      value: 86.46139340079428
+    - type: euclidean_pearson
+      value: 86.4874804471064
+    - type: euclidean_spearman
+      value: 86.19390771731406
+    - type: manhattan_pearson
+      value: 86.51184704840284
+    - type: manhattan_spearman
+      value: 86.19094101171963
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 85.10723925640346
+    - type: mrr
+      value: 95.62579305226365
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 56.233
+    - type: map_at_10
+      value: 64.94
+    - type: map_at_100
+      value: 65.508
+    - type: map_at_1000
+      value: 65.537
+    - type: map_at_3
+      value: 62.121
+    - type: map_at_5
+      value: 63.92400000000001
+    - type: mrr_at_1
+      value: 58.667
+    - type: mrr_at_10
+      value: 66.352
+    - type: mrr_at_100
+      value: 66.751
+    - type: mrr_at_1000
+      value: 66.777
+    - type: mrr_at_3
+      value: 64.22200000000001
+    - type: mrr_at_5
+      value: 65.656
+    - type: ndcg_at_1
+      value: 58.667
+    - type: ndcg_at_10
+      value: 69.318
+    - type: ndcg_at_100
+      value: 71.822
+    - type: ndcg_at_1000
+      value: 72.578
+    - type: ndcg_at_3
+      value: 64.532
+    - type: ndcg_at_5
+      value: 67.292
+    - type: precision_at_1
+      value: 58.667
+    - type: precision_at_10
+      value: 9.133
+    - type: precision_at_100
+      value: 1.05
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 24.889
+    - type: precision_at_5
+      value: 16.733
+    - type: recall_at_1
+      value: 56.233
+    - type: recall_at_10
+      value: 81.206
+    - type: recall_at_100
+      value: 92.80000000000001
+    - type: recall_at_1000
+      value: 98.667
+    - type: recall_at_3
+      value: 68.672
+    - type: recall_at_5
+      value: 75.378
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.01089108910891
+    - type: cos_sim_ap
+      value: 1.3258822225796068
+    - type: cos_sim_f1
+      value: 2.981148619026743
+    - type: cos_sim_precision
+      value: 2.6541764246682282
+    - type: cos_sim_recall
+      value: 3.4000000000000004
+    - type: dot_accuracy
+      value: 99.0089108910891
+    - type: dot_ap
+      value: 1.3780579724370194
+    - type: dot_f1
+      value: 2.9675425038639873
+    - type: dot_precision
+      value: 2.1476510067114094
+    - type: dot_recall
+      value: 4.8
+    - type: euclidean_accuracy
+      value: 99.01089108910891
+    - type: euclidean_ap
+      value: 1.3226816682194076
+    - type: euclidean_f1
+      value: 2.9817780231916067
+    - type: euclidean_precision
+      value: 2.059496567505721
+    - type: euclidean_recall
+      value: 5.4
+    - type: manhattan_accuracy
+      value: 99.01089108910891
+    - type: manhattan_ap
+      value: 1.3257832418895792
+    - type: manhattan_f1
+      value: 3.0476190476190474
+    - type: manhattan_precision
+      value: 2.909090909090909
+    - type: manhattan_recall
+      value: 3.2
+    - type: max_accuracy
+      value: 99.01089108910891
+    - type: max_ap
+      value: 1.3780579724370194
+    - type: max_f1
+      value: 3.0476190476190474
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 64.69564559409538
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.23127531581388
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 49.845357053686975
+    - type: mrr
+      value: 50.59803656311009
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.02241691876377
+    - type: cos_sim_spearman
+      value: 29.017719340560923
+    - type: dot_pearson
+      value: 29.59373129445045
+    - type: dot_spearman
+      value: 29.616196388331968
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.157
+    - type: map_at_10
+      value: 0.9440000000000001
+    - type: map_at_100
+      value: 4.61
+    - type: map_at_1000
+      value: 11.488
+    - type: map_at_3
+      value: 0.396
+    - type: map_at_5
+      value: 0.569
+    - type: mrr_at_1
+      value: 57.99999999999999
+    - type: mrr_at_10
+      value: 71.672
+    - type: mrr_at_100
+      value: 71.707
+    - type: mrr_at_1000
+      value: 71.707
+    - type: mrr_at_3
+      value: 68.333
+    - type: mrr_at_5
+      value: 70.533
+    - type: ndcg_at_1
+      value: 54.0
+    - type: ndcg_at_10
+      value: 45.216
+    - type: ndcg_at_100
+      value: 32.623999999999995
+    - type: ndcg_at_1000
+      value: 33.006
+    - type: ndcg_at_3
+      value: 51.76500000000001
+    - type: ndcg_at_5
+      value: 47.888999999999996
+    - type: precision_at_1
+      value: 57.99999999999999
+    - type: precision_at_10
+      value: 48.0
+    - type: precision_at_100
+      value: 32.74
+    - type: precision_at_1000
+      value: 14.588000000000001
+    - type: precision_at_3
+      value: 55.333
+    - type: precision_at_5
+      value: 51.2
+    - type: recall_at_1
+      value: 0.157
+    - type: recall_at_10
+      value: 1.212
+    - type: recall_at_100
+      value: 7.868
+    - type: recall_at_1000
+      value: 31.583
+    - type: recall_at_3
+      value: 0.443
+    - type: recall_at_5
+      value: 0.6779999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.545
+    - type: map_at_10
+      value: 4.6690000000000005
+    - type: map_at_100
+      value: 8.982
+    - type: map_at_1000
+      value: 10.453999999999999
+    - type: map_at_3
+      value: 2.35
+    - type: map_at_5
+      value: 3.168
+    - type: mrr_at_1
+      value: 18.367
+    - type: mrr_at_10
+      value: 28.599999999999998
+    - type: mrr_at_100
+      value: 30.287
+    - type: mrr_at_1000
+      value: 30.339
+    - type: mrr_at_3
+      value: 24.490000000000002
+    - type: mrr_at_5
+      value: 27.040999999999997
+    - type: ndcg_at_1
+      value: 17.347
+    - type: ndcg_at_10
+      value: 13.868
+    - type: ndcg_at_100
+      value: 25.499
+    - type: ndcg_at_1000
+      value: 37.922
+    - type: ndcg_at_3
+      value: 13.746
+    - type: ndcg_at_5
+      value: 13.141
+    - type: precision_at_1
+      value: 18.367
+    - type: precision_at_10
+      value: 12.653
+    - type: precision_at_100
+      value: 5.776
+    - type: precision_at_1000
+      value: 1.3860000000000001
+    - type: precision_at_3
+      value: 13.605
+    - type: precision_at_5
+      value: 13.061
+    - type: recall_at_1
+      value: 1.545
+    - type: recall_at_10
+      value: 9.305
+    - type: recall_at_100
+      value: 38.084
+    - type: recall_at_1000
+      value: 75.897
+    - type: recall_at_3
+      value: 2.903
+    - type: recall_at_5
+      value: 4.8919999999999995
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.23839999999998
+    - type: ap
+      value: 14.810293385203243
+    - type: f1
+      value: 55.08401453918053
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 58.21448783248444
+    - type: f1
+      value: 58.57246320620639
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 49.314744135178934
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 77.63008881206413
+    - type: cos_sim_ap
+      value: 23.98771112381251
+    - type: cos_sim_f1
+      value: 36.874665107896156
+    - type: cos_sim_precision
+      value: 22.61186450803513
+    - type: cos_sim_recall
+      value: 99.86807387862797
+    - type: dot_accuracy
+      value: 77.624128270847
+    - type: dot_ap
+      value: 23.81883137521807
+    - type: dot_f1
+      value: 36.86411827643225
+    - type: dot_precision
+      value: 22.59718578583353
+    - type: dot_recall
+      value: 100.0
+    - type: euclidean_accuracy
+      value: 77.63008881206413
+    - type: euclidean_ap
+      value: 24.056639112615873
+    - type: euclidean_f1
+      value: 36.8782579042237
+    - type: euclidean_precision
+      value: 22.61456652924658
+    - type: euclidean_recall
+      value: 99.86807387862797
+    - type: manhattan_accuracy
+      value: 77.63604935328128
+    - type: manhattan_ap
+      value: 24.040167793537755
+    - type: manhattan_f1
+      value: 36.86514886164623
+    - type: manhattan_precision
+      value: 22.59930812358344
+    - type: manhattan_recall
+      value: 99.9736147757256
+    - type: max_accuracy
+      value: 77.63604935328128
+    - type: max_ap
+      value: 24.056639112615873
+    - type: max_f1
+      value: 36.8782579042237
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 75.04366049598323
+    - type: cos_sim_ap
+      value: 26.157700936768393
+    - type: cos_sim_f1
+      value: 40.26479388555571
+    - type: cos_sim_precision
+      value: 25.20819178879938
+    - type: cos_sim_recall
+      value: 99.98460117031107
+    - type: dot_accuracy
+      value: 75.01843443163737
+    - type: dot_ap
+      value: 26.007081173722646
+    - type: dot_f1
+      value: 40.267311687908965
+    - type: dot_precision
+      value: 25.210655069312317
+    - type: dot_recall
+      value: 99.97690175546659
+    - type: euclidean_accuracy
+      value: 75.04366049598323
+    - type: euclidean_ap
+      value: 26.208660893446407
+    - type: euclidean_f1
+      value: 40.264773361443545
+    - type: euclidean_precision
+      value: 25.20768633540373
+    - type: euclidean_recall
+      value: 99.99230058515552
+    - type: manhattan_accuracy
+      value: 75.04754142895952
+    - type: manhattan_ap
+      value: 26.202762141501218
+    - type: manhattan_f1
+      value: 40.262358121937595
+    - type: manhattan_precision
+      value: 25.20775085430258
+    - type: manhattan_recall
+      value: 99.96150292577765
+    - type: max_accuracy
+      value: 75.04754142895952
+    - type: max_ap
+      value: 26.208660893446407
+    - type: max_f1
+      value: 40.267311687908965
+---