Update README.md

README.md

@@ -1,10 +1,2588 @@
 ---
-pipeline_tag: sentence-similarity
 tags:
-- sentence-transformers
-- feature-extraction
-- sentence-similarity
-
+- mteb
+model-index:
+- name: sf_model_e5
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 70.85074626865672
+    - type: ap
+      value: 33.779217850079206
+    - type: f1
+      value: 64.96977487239377
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 91.80945
+    - type: ap
+      value: 88.22978189506895
+    - type: f1
+      value: 91.7858219911604
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.94200000000001
+    - type: f1
+      value: 47.911934405973895
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.616
+    - type: map_at_10
+      value: 55.938
+    - type: map_at_100
+      value: 56.552
+    - type: map_at_1000
+      value: 56.556
+    - type: map_at_3
+      value: 51.754
+    - type: map_at_5
+      value: 54.623999999999995
+    - type: mrr_at_1
+      value: 40.967
+    - type: mrr_at_10
+      value: 56.452999999999996
+    - type: mrr_at_100
+      value: 57.053
+    - type: mrr_at_1000
+      value: 57.057
+    - type: mrr_at_3
+      value: 52.312000000000005
+    - type: mrr_at_5
+      value: 55.1
+    - type: ndcg_at_1
+      value: 39.616
+    - type: ndcg_at_10
+      value: 64.067
+    - type: ndcg_at_100
+      value: 66.384
+    - type: ndcg_at_1000
+      value: 66.468
+    - type: ndcg_at_3
+      value: 55.74
+    - type: ndcg_at_5
+      value: 60.889
+    - type: precision_at_1
+      value: 39.616
+    - type: precision_at_10
+      value: 8.953999999999999
+    - type: precision_at_100
+      value: 0.9900000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 22.428
+    - type: precision_at_5
+      value: 15.946
+    - type: recall_at_1
+      value: 39.616
+    - type: recall_at_10
+      value: 89.545
+    - type: recall_at_100
+      value: 99.004
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 67.283
+    - type: recall_at_5
+      value: 79.73
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 48.72923923743124
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 42.87449955203238
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 64.3214434754065
+    - type: mrr
+      value: 77.87879787187265
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.82418607751953
+    - type: cos_sim_spearman
+      value: 86.74535004562274
+    - type: euclidean_pearson
+      value: 86.58792166831103
+    - type: euclidean_spearman
+      value: 86.74535004562274
+    - type: manhattan_pearson
+      value: 86.23957813056677
+    - type: manhattan_spearman
+      value: 86.41522204150452
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 84.61363636363636
+    - type: f1
+      value: 83.98373241136187
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 39.73148995791471
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 37.23723038699733
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.217
+    - type: map_at_10
+      value: 43.453
+    - type: map_at_100
+      value: 45.038
+    - type: map_at_1000
+      value: 45.162
+    - type: map_at_3
+      value: 39.589
+    - type: map_at_5
+      value: 41.697
+    - type: mrr_at_1
+      value: 39.628
+    - type: mrr_at_10
+      value: 49.698
+    - type: mrr_at_100
+      value: 50.44
+    - type: mrr_at_1000
+      value: 50.482000000000006
+    - type: mrr_at_3
+      value: 46.781
+    - type: mrr_at_5
+      value: 48.548
+    - type: ndcg_at_1
+      value: 39.628
+    - type: ndcg_at_10
+      value: 50.158
+    - type: ndcg_at_100
+      value: 55.687
+    - type: ndcg_at_1000
+      value: 57.499
+    - type: ndcg_at_3
+      value: 44.594
+    - type: ndcg_at_5
+      value: 47.198
+    - type: precision_at_1
+      value: 39.628
+    - type: precision_at_10
+      value: 9.828000000000001
+    - type: precision_at_100
+      value: 1.591
+    - type: precision_at_1000
+      value: 0.20600000000000002
+    - type: precision_at_3
+      value: 21.507
+    - type: precision_at_5
+      value: 15.765
+    - type: recall_at_1
+      value: 32.217
+    - type: recall_at_10
+      value: 62.717999999999996
+    - type: recall_at_100
+      value: 85.992
+    - type: recall_at_1000
+      value: 97.271
+    - type: recall_at_3
+      value: 46.694
+    - type: recall_at_5
+      value: 53.952
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.862000000000002
+    - type: map_at_10
+      value: 41.287
+    - type: map_at_100
+      value: 42.526
+    - type: map_at_1000
+      value: 42.653999999999996
+    - type: map_at_3
+      value: 38.055
+    - type: map_at_5
+      value: 40.022000000000006
+    - type: mrr_at_1
+      value: 38.408
+    - type: mrr_at_10
+      value: 46.943
+    - type: mrr_at_100
+      value: 47.597
+    - type: mrr_at_1000
+      value: 47.64
+    - type: mrr_at_3
+      value: 44.607
+    - type: mrr_at_5
+      value: 46.079
+    - type: ndcg_at_1
+      value: 38.408
+    - type: ndcg_at_10
+      value: 46.936
+    - type: ndcg_at_100
+      value: 51.307
+    - type: ndcg_at_1000
+      value: 53.312000000000005
+    - type: ndcg_at_3
+      value: 42.579
+    - type: ndcg_at_5
+      value: 44.877
+    - type: precision_at_1
+      value: 38.408
+    - type: precision_at_10
+      value: 8.885
+    - type: precision_at_100
+      value: 1.4449999999999998
+    - type: precision_at_1000
+      value: 0.192
+    - type: precision_at_3
+      value: 20.616
+    - type: precision_at_5
+      value: 14.841
+    - type: recall_at_1
+      value: 30.862000000000002
+    - type: recall_at_10
+      value: 56.994
+    - type: recall_at_100
+      value: 75.347
+    - type: recall_at_1000
+      value: 87.911
+    - type: recall_at_3
+      value: 44.230000000000004
+    - type: recall_at_5
+      value: 50.625
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.076
+    - type: map_at_10
+      value: 52.535
+    - type: map_at_100
+      value: 53.537
+    - type: map_at_1000
+      value: 53.591
+    - type: map_at_3
+      value: 48.961
+    - type: map_at_5
+      value: 50.96000000000001
+    - type: mrr_at_1
+      value: 44.765
+    - type: mrr_at_10
+      value: 55.615
+    - type: mrr_at_100
+      value: 56.24
+    - type: mrr_at_1000
+      value: 56.264
+    - type: mrr_at_3
+      value: 52.925999999999995
+    - type: mrr_at_5
+      value: 54.493
+    - type: ndcg_at_1
+      value: 44.765
+    - type: ndcg_at_10
+      value: 58.777
+    - type: ndcg_at_100
+      value: 62.574
+    - type: ndcg_at_1000
+      value: 63.624
+    - type: ndcg_at_3
+      value: 52.81
+    - type: ndcg_at_5
+      value: 55.657999999999994
+    - type: precision_at_1
+      value: 44.765
+    - type: precision_at_10
+      value: 9.693
+    - type: precision_at_100
+      value: 1.248
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 23.866
+    - type: precision_at_5
+      value: 16.489
+    - type: recall_at_1
+      value: 39.076
+    - type: recall_at_10
+      value: 74.01299999999999
+    - type: recall_at_100
+      value: 90.363
+    - type: recall_at_1000
+      value: 97.782
+    - type: recall_at_3
+      value: 58.056
+    - type: recall_at_5
+      value: 65.029
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.357000000000003
+    - type: map_at_10
+      value: 35.492000000000004
+    - type: map_at_100
+      value: 36.504999999999995
+    - type: map_at_1000
+      value: 36.578
+    - type: map_at_3
+      value: 32.696999999999996
+    - type: map_at_5
+      value: 34.388999999999996
+    - type: mrr_at_1
+      value: 28.136
+    - type: mrr_at_10
+      value: 37.383
+    - type: mrr_at_100
+      value: 38.271
+    - type: mrr_at_1000
+      value: 38.324999999999996
+    - type: mrr_at_3
+      value: 34.782999999999994
+    - type: mrr_at_5
+      value: 36.416
+    - type: ndcg_at_1
+      value: 28.136
+    - type: ndcg_at_10
+      value: 40.741
+    - type: ndcg_at_100
+      value: 45.803
+    - type: ndcg_at_1000
+      value: 47.637
+    - type: ndcg_at_3
+      value: 35.412
+    - type: ndcg_at_5
+      value: 38.251000000000005
+    - type: precision_at_1
+      value: 28.136
+    - type: precision_at_10
+      value: 6.315999999999999
+    - type: precision_at_100
+      value: 0.931
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 15.254000000000001
+    - type: precision_at_5
+      value: 10.757
+    - type: recall_at_1
+      value: 26.357000000000003
+    - type: recall_at_10
+      value: 55.021
+    - type: recall_at_100
+      value: 78.501
+    - type: recall_at_1000
+      value: 92.133
+    - type: recall_at_3
+      value: 40.798
+    - type: recall_at_5
+      value: 47.591
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.302
+    - type: map_at_10
+      value: 26.365
+    - type: map_at_100
+      value: 27.581
+    - type: map_at_1000
+      value: 27.705999999999996
+    - type: map_at_3
+      value: 23.682
+    - type: map_at_5
+      value: 25.304
+    - type: mrr_at_1
+      value: 21.891
+    - type: mrr_at_10
+      value: 31.227
+    - type: mrr_at_100
+      value: 32.22
+    - type: mrr_at_1000
+      value: 32.282
+    - type: mrr_at_3
+      value: 28.711
+    - type: mrr_at_5
+      value: 30.314999999999998
+    - type: ndcg_at_1
+      value: 21.891
+    - type: ndcg_at_10
+      value: 31.965
+    - type: ndcg_at_100
+      value: 37.869
+    - type: ndcg_at_1000
+      value: 40.642
+    - type: ndcg_at_3
+      value: 27.184
+    - type: ndcg_at_5
+      value: 29.686
+    - type: precision_at_1
+      value: 21.891
+    - type: precision_at_10
+      value: 5.9830000000000005
+    - type: precision_at_100
+      value: 1.0250000000000001
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 13.391
+    - type: precision_at_5
+      value: 9.801
+    - type: recall_at_1
+      value: 17.302
+    - type: recall_at_10
+      value: 44.312000000000005
+    - type: recall_at_100
+      value: 70.274
+    - type: recall_at_1000
+      value: 89.709
+    - type: recall_at_3
+      value: 31.117
+    - type: recall_at_5
+      value: 37.511
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.404000000000003
+    - type: map_at_10
+      value: 40.571
+    - type: map_at_100
+      value: 42.049
+    - type: map_at_1000
+      value: 42.156
+    - type: map_at_3
+      value: 37.413000000000004
+    - type: map_at_5
+      value: 39.206
+    - type: mrr_at_1
+      value: 36.285000000000004
+    - type: mrr_at_10
+      value: 46.213
+    - type: mrr_at_100
+      value: 47.129
+    - type: mrr_at_1000
+      value: 47.168
+    - type: mrr_at_3
+      value: 43.84
+    - type: mrr_at_5
+      value: 45.226
+    - type: ndcg_at_1
+      value: 36.285000000000004
+    - type: ndcg_at_10
+      value: 46.809
+    - type: ndcg_at_100
+      value: 52.615
+    - type: ndcg_at_1000
+      value: 54.538
+    - type: ndcg_at_3
+      value: 41.91
+    - type: ndcg_at_5
+      value: 44.224999999999994
+    - type: precision_at_1
+      value: 36.285000000000004
+    - type: precision_at_10
+      value: 8.527
+    - type: precision_at_100
+      value: 1.3259999999999998
+    - type: precision_at_1000
+      value: 0.167
+    - type: precision_at_3
+      value: 20.083000000000002
+    - type: precision_at_5
+      value: 14.071
+    - type: recall_at_1
+      value: 29.404000000000003
+    - type: recall_at_10
+      value: 59.611999999999995
+    - type: recall_at_100
+      value: 83.383
+    - type: recall_at_1000
+      value: 95.703
+    - type: recall_at_3
+      value: 45.663
+    - type: recall_at_5
+      value: 51.971999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.317
+    - type: map_at_10
+      value: 35.217999999999996
+    - type: map_at_100
+      value: 36.665
+    - type: map_at_1000
+      value: 36.768
+    - type: map_at_3
+      value: 31.924000000000003
+    - type: map_at_5
+      value: 33.591
+    - type: mrr_at_1
+      value: 31.507
+    - type: mrr_at_10
+      value: 40.671
+    - type: mrr_at_100
+      value: 41.609
+    - type: mrr_at_1000
+      value: 41.657
+    - type: mrr_at_3
+      value: 38.261
+    - type: mrr_at_5
+      value: 39.431
+    - type: ndcg_at_1
+      value: 31.507
+    - type: ndcg_at_10
+      value: 41.375
+    - type: ndcg_at_100
+      value: 47.426
+    - type: ndcg_at_1000
+      value: 49.504
+    - type: ndcg_at_3
+      value: 35.989
+    - type: ndcg_at_5
+      value: 38.068000000000005
+    - type: precision_at_1
+      value: 31.507
+    - type: precision_at_10
+      value: 7.8420000000000005
+    - type: precision_at_100
+      value: 1.257
+    - type: precision_at_1000
+      value: 0.16199999999999998
+    - type: precision_at_3
+      value: 17.352
+    - type: precision_at_5
+      value: 12.328999999999999
+    - type: recall_at_1
+      value: 25.317
+    - type: recall_at_10
+      value: 54.254999999999995
+    - type: recall_at_100
+      value: 80.184
+    - type: recall_at_1000
+      value: 94.07
+    - type: recall_at_3
+      value: 39.117000000000004
+    - type: recall_at_5
+      value: 44.711
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.813000000000002
+    - type: map_at_10
+      value: 35.47183333333334
+    - type: map_at_100
+      value: 36.71775
+    - type: map_at_1000
+      value: 36.833000000000006
+    - type: map_at_3
+      value: 32.449916666666674
+    - type: map_at_5
+      value: 34.1235
+    - type: mrr_at_1
+      value: 30.766750000000005
+    - type: mrr_at_10
+      value: 39.77508333333334
+    - type: mrr_at_100
+      value: 40.64233333333333
+    - type: mrr_at_1000
+      value: 40.69658333333333
+    - type: mrr_at_3
+      value: 37.27349999999999
+    - type: mrr_at_5
+      value: 38.723416666666665
+    - type: ndcg_at_1
+      value: 30.766750000000005
+    - type: ndcg_at_10
+      value: 41.141416666666665
+    - type: ndcg_at_100
+      value: 46.42016666666666
+    - type: ndcg_at_1000
+      value: 48.61916666666667
+    - type: ndcg_at_3
+      value: 36.06883333333333
+    - type: ndcg_at_5
+      value: 38.43966666666666
+    - type: precision_at_1
+      value: 30.766750000000005
+    - type: precision_at_10
+      value: 7.340000000000001
+    - type: precision_at_100
+      value: 1.1796666666666666
+    - type: precision_at_1000
+      value: 0.15625
+    - type: precision_at_3
+      value: 16.763833333333334
+    - type: precision_at_5
+      value: 11.972166666666666
+    - type: recall_at_1
+      value: 25.813000000000002
+    - type: recall_at_10
+      value: 53.62741666666667
+    - type: recall_at_100
+      value: 76.70125000000002
+    - type: recall_at_1000
+      value: 91.85566666666666
+    - type: recall_at_3
+      value: 39.55075
+    - type: recall_at_5
+      value: 45.645250000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.249
+    - type: map_at_10
+      value: 31.095
+    - type: map_at_100
+      value: 32.056000000000004
+    - type: map_at_1000
+      value: 32.163000000000004
+    - type: map_at_3
+      value: 29.275000000000002
+    - type: map_at_5
+      value: 30.333
+    - type: mrr_at_1
+      value: 26.687
+    - type: mrr_at_10
+      value: 34.122
+    - type: mrr_at_100
+      value: 34.958
+    - type: mrr_at_1000
+      value: 35.039
+    - type: mrr_at_3
+      value: 32.541
+    - type: mrr_at_5
+      value: 33.43
+    - type: ndcg_at_1
+      value: 26.687
+    - type: ndcg_at_10
+      value: 35.248000000000005
+    - type: ndcg_at_100
+      value: 39.933
+    - type: ndcg_at_1000
+      value: 42.616
+    - type: ndcg_at_3
+      value: 31.980999999999998
+    - type: ndcg_at_5
+      value: 33.583
+    - type: precision_at_1
+      value: 26.687
+    - type: precision_at_10
+      value: 5.445
+    - type: precision_at_100
+      value: 0.848
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 13.957
+    - type: precision_at_5
+      value: 9.479
+    - type: recall_at_1
+      value: 23.249
+    - type: recall_at_10
+      value: 45.005
+    - type: recall_at_100
+      value: 66.175
+    - type: recall_at_1000
+      value: 86.116
+    - type: recall_at_3
+      value: 36.03
+    - type: recall_at_5
+      value: 40.037
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.592
+    - type: map_at_10
+      value: 25.003999999999998
+    - type: map_at_100
+      value: 26.208
+    - type: map_at_1000
+      value: 26.333000000000002
+    - type: map_at_3
+      value: 22.479
+    - type: map_at_5
+      value: 23.712
+    - type: mrr_at_1
+      value: 21.37
+    - type: mrr_at_10
+      value: 28.951999999999998
+    - type: mrr_at_100
+      value: 29.915999999999997
+    - type: mrr_at_1000
+      value: 29.99
+    - type: mrr_at_3
+      value: 26.503
+    - type: mrr_at_5
+      value: 27.728
+    - type: ndcg_at_1
+      value: 21.37
+    - type: ndcg_at_10
+      value: 29.944
+    - type: ndcg_at_100
+      value: 35.632000000000005
+    - type: ndcg_at_1000
+      value: 38.393
+    - type: ndcg_at_3
+      value: 25.263999999999996
+    - type: ndcg_at_5
+      value: 27.115000000000002
+    - type: precision_at_1
+      value: 21.37
+    - type: precision_at_10
+      value: 5.568
+    - type: precision_at_100
+      value: 0.992
+    - type: precision_at_1000
+      value: 0.13999999999999999
+    - type: precision_at_3
+      value: 11.895
+    - type: precision_at_5
+      value: 8.61
+    - type: recall_at_1
+      value: 17.592
+    - type: recall_at_10
+      value: 40.976
+    - type: recall_at_100
+      value: 66.487
+    - type: recall_at_1000
+      value: 85.954
+    - type: recall_at_3
+      value: 27.797
+    - type: recall_at_5
+      value: 32.553
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.173000000000002
+    - type: map_at_10
+      value: 34.611999999999995
+    - type: map_at_100
+      value: 35.735
+    - type: map_at_1000
+      value: 35.842
+    - type: map_at_3
+      value: 31.345
+    - type: map_at_5
+      value: 33.123000000000005
+    - type: mrr_at_1
+      value: 29.570999999999998
+    - type: mrr_at_10
+      value: 38.775999999999996
+    - type: mrr_at_100
+      value: 39.621
+    - type: mrr_at_1000
+      value: 39.684000000000005
+    - type: mrr_at_3
+      value: 35.992000000000004
+    - type: mrr_at_5
+      value: 37.586999999999996
+    - type: ndcg_at_1
+      value: 29.570999999999998
+    - type: ndcg_at_10
+      value: 40.388000000000005
+    - type: ndcg_at_100
+      value: 45.59
+    - type: ndcg_at_1000
+      value: 47.948
+    - type: ndcg_at_3
+      value: 34.497
+    - type: ndcg_at_5
+      value: 37.201
+    - type: precision_at_1
+      value: 29.570999999999998
+    - type: precision_at_10
+      value: 6.931
+    - type: precision_at_100
+      value: 1.082
+    - type: precision_at_1000
+      value: 0.13999999999999999
+    - type: precision_at_3
+      value: 15.609
+    - type: precision_at_5
+      value: 11.286999999999999
+    - type: recall_at_1
+      value: 25.173000000000002
+    - type: recall_at_10
+      value: 53.949000000000005
+    - type: recall_at_100
+      value: 76.536
+    - type: recall_at_1000
+      value: 92.979
+    - type: recall_at_3
+      value: 37.987
+    - type: recall_at_5
+      value: 44.689
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.224
+    - type: map_at_10
+      value: 32.903
+    - type: map_at_100
+      value: 34.65
+    - type: map_at_1000
+      value: 34.873
+    - type: map_at_3
+      value: 29.673
+    - type: map_at_5
+      value: 31.361
+    - type: mrr_at_1
+      value: 30.435000000000002
+    - type: mrr_at_10
+      value: 38.677
+    - type: mrr_at_100
+      value: 39.805
+    - type: mrr_at_1000
+      value: 39.851
+    - type: mrr_at_3
+      value: 35.935
+    - type: mrr_at_5
+      value: 37.566
+    - type: ndcg_at_1
+      value: 30.435000000000002
+    - type: ndcg_at_10
+      value: 39.012
+    - type: ndcg_at_100
+      value: 45.553
+    - type: ndcg_at_1000
+      value: 47.919
+    - type: ndcg_at_3
+      value: 33.809
+    - type: ndcg_at_5
+      value: 36.120999999999995
+    - type: precision_at_1
+      value: 30.435000000000002
+    - type: precision_at_10
+      value: 7.628
+    - type: precision_at_100
+      value: 1.5810000000000002
+    - type: precision_at_1000
+      value: 0.243
+    - type: precision_at_3
+      value: 15.744
+    - type: precision_at_5
+      value: 11.66
+    - type: recall_at_1
+      value: 24.224
+    - type: recall_at_10
+      value: 50.009
+    - type: recall_at_100
+      value: 78.839
+    - type: recall_at_1000
+      value: 93.71300000000001
+    - type: recall_at_3
+      value: 35.512
+    - type: recall_at_5
+      value: 41.541
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.983
+    - type: map_at_10
+      value: 27.127000000000002
+    - type: map_at_100
+      value: 28.063
+    - type: map_at_1000
+      value: 28.17
+    - type: map_at_3
+      value: 24.306
+    - type: map_at_5
+      value: 25.784000000000002
+    - type: mrr_at_1
+      value: 20.518
+    - type: mrr_at_10
+      value: 29.024
+    - type: mrr_at_100
+      value: 29.902
+    - type: mrr_at_1000
+      value: 29.976999999999997
+    - type: mrr_at_3
+      value: 26.401999999999997
+    - type: mrr_at_5
+      value: 27.862
+    - type: ndcg_at_1
+      value: 20.518
+    - type: ndcg_at_10
+      value: 32.344
+    - type: ndcg_at_100
+      value: 37.053000000000004
+    - type: ndcg_at_1000
+      value: 39.798
+    - type: ndcg_at_3
+      value: 26.796999999999997
+    - type: ndcg_at_5
+      value: 29.293000000000003
+    - type: precision_at_1
+      value: 20.518
+    - type: precision_at_10
+      value: 5.434
+    - type: precision_at_100
+      value: 0.83
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 11.892
+    - type: precision_at_5
+      value: 8.577
+    - type: recall_at_1
+      value: 18.983
+    - type: recall_at_10
+      value: 46.665
+    - type: recall_at_100
+      value: 68.33399999999999
+    - type: recall_at_1000
+      value: 88.927
+    - type: recall_at_3
+      value: 31.608000000000004
+    - type: recall_at_5
+      value: 37.532
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.200000000000001
+    - type: map_at_10
+      value: 20.241999999999997
+    - type: map_at_100
+      value: 22.357
+    - type: map_at_1000
+      value: 22.556
+    - type: map_at_3
+      value: 16.564999999999998
+    - type: map_at_5
+      value: 18.443
+    - type: mrr_at_1
+      value: 25.277
+    - type: mrr_at_10
+      value: 37.582
+    - type: mrr_at_100
+      value: 38.525999999999996
+    - type: mrr_at_1000
+      value: 38.564
+    - type: mrr_at_3
+      value: 33.898
+    - type: mrr_at_5
+      value: 36.191
+    - type: ndcg_at_1
+      value: 25.277
+    - type: ndcg_at_10
+      value: 28.74
+    - type: ndcg_at_100
+      value: 36.665
+    - type: ndcg_at_1000
+      value: 40.08
+    - type: ndcg_at_3
+      value: 22.888
+    - type: ndcg_at_5
+      value: 25.081999999999997
+    - type: precision_at_1
+      value: 25.277
+    - type: precision_at_10
+      value: 9.251
+    - type: precision_at_100
+      value: 1.773
+    - type: precision_at_1000
+      value: 0.241
+    - type: precision_at_3
+      value: 17.329
+    - type: precision_at_5
+      value: 13.746
+    - type: recall_at_1
+      value: 11.200000000000001
+    - type: recall_at_10
+      value: 35.419
+    - type: recall_at_100
+      value: 62.41
+    - type: recall_at_1000
+      value: 81.467
+    - type: recall_at_3
+      value: 21.275
+    - type: recall_at_5
+      value: 27.201999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.396
+    - type: map_at_10
+      value: 20.735
+    - type: map_at_100
+      value: 30.098000000000003
+    - type: map_at_1000
+      value: 31.866
+    - type: map_at_3
+      value: 14.71
+    - type: map_at_5
+      value: 17.259
+    - type: mrr_at_1
+      value: 70.25
+    - type: mrr_at_10
+      value: 77.09700000000001
+    - type: mrr_at_100
+      value: 77.398
+    - type: mrr_at_1000
+      value: 77.40899999999999
+    - type: mrr_at_3
+      value: 75.542
+    - type: mrr_at_5
+      value: 76.354
+    - type: ndcg_at_1
+      value: 57.75
+    - type: ndcg_at_10
+      value: 42.509
+    - type: ndcg_at_100
+      value: 48.94
+    - type: ndcg_at_1000
+      value: 56.501000000000005
+    - type: ndcg_at_3
+      value: 46.827000000000005
+    - type: ndcg_at_5
+      value: 44.033
+    - type: precision_at_1
+      value: 70.25
+    - type: precision_at_10
+      value: 33.85
+    - type: precision_at_100
+      value: 11.373
+    - type: precision_at_1000
+      value: 2.136
+    - type: precision_at_3
+      value: 50.917
+    - type: precision_at_5
+      value: 42.8
+    - type: recall_at_1
+      value: 9.396
+    - type: recall_at_10
+      value: 26.472
+    - type: recall_at_100
+      value: 57.30800000000001
+    - type: recall_at_1000
+      value: 80.983
+    - type: recall_at_3
+      value: 15.859000000000002
+    - type: recall_at_5
+      value: 19.758
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 54.900000000000006
+    - type: f1
+      value: 48.14707395235448
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 66.369
+    - type: map_at_10
+      value: 76.708
+    - type: map_at_100
+      value: 76.981
+    - type: map_at_1000
+      value: 76.995
+    - type: map_at_3
+      value: 75.114
+    - type: map_at_5
+      value: 76.116
+    - type: mrr_at_1
+      value: 71.557
+    - type: mrr_at_10
+      value: 80.95
+    - type: mrr_at_100
+      value: 81.075
+    - type: mrr_at_1000
+      value: 81.07900000000001
+    - type: mrr_at_3
+      value: 79.728
+    - type: mrr_at_5
+      value: 80.522
+    - type: ndcg_at_1
+      value: 71.557
+    - type: ndcg_at_10
+      value: 81.381
+    - type: ndcg_at_100
+      value: 82.421
+    - type: ndcg_at_1000
+      value: 82.709
+    - type: ndcg_at_3
+      value: 78.671
+    - type: ndcg_at_5
+      value: 80.17
+    - type: precision_at_1
+      value: 71.557
+    - type: precision_at_10
+      value: 10.159
+    - type: precision_at_100
+      value: 1.089
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 30.668
+    - type: precision_at_5
+      value: 19.337
+    - type: recall_at_1
+      value: 66.369
+    - type: recall_at_10
+      value: 91.482
+    - type: recall_at_100
+      value: 95.848
+    - type: recall_at_1000
+      value: 97.749
+    - type: recall_at_3
+      value: 84.185
+    - type: recall_at_5
+      value: 87.908
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.902
+    - type: map_at_10
+      value: 34.554
+    - type: map_at_100
+      value: 36.632
+    - type: map_at_1000
+      value: 36.811
+    - type: map_at_3
+      value: 30.264000000000003
+    - type: map_at_5
+      value: 32.714999999999996
+    - type: mrr_at_1
+      value: 42.13
+    - type: mrr_at_10
+      value: 51.224000000000004
+    - type: mrr_at_100
+      value: 52.044999999999995
+    - type: mrr_at_1000
+      value: 52.075
+    - type: mrr_at_3
+      value: 48.842999999999996
+    - type: mrr_at_5
+      value: 50.108
+    - type: ndcg_at_1
+      value: 42.13
+    - type: ndcg_at_10
+      value: 42.643
+    - type: ndcg_at_100
+      value: 49.806
+    - type: ndcg_at_1000
+      value: 52.583
+    - type: ndcg_at_3
+      value: 38.927
+    - type: ndcg_at_5
+      value: 40.071
+    - type: precision_at_1
+      value: 42.13
+    - type: precision_at_10
+      value: 11.928999999999998
+    - type: precision_at_100
+      value: 1.931
+    - type: precision_at_1000
+      value: 0.243
+    - type: precision_at_3
+      value: 26.337
+    - type: precision_at_5
+      value: 19.29
+    - type: recall_at_1
+      value: 20.902
+    - type: recall_at_10
+      value: 49.527
+    - type: recall_at_100
+      value: 75.754
+    - type: recall_at_1000
+      value: 92.171
+    - type: recall_at_3
+      value: 35.024
+    - type: recall_at_5
+      value: 41.207
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.831
+    - type: map_at_10
+      value: 63.958999999999996
+    - type: map_at_100
+      value: 64.869
+    - type: map_at_1000
+      value: 64.924
+    - type: map_at_3
+      value: 60.25
+    - type: map_at_5
+      value: 62.572
+    - type: mrr_at_1
+      value: 79.662
+    - type: mrr_at_10
+      value: 85.57900000000001
+    - type: mrr_at_100
+      value: 85.744
+    - type: mrr_at_1000
+      value: 85.748
+    - type: mrr_at_3
+      value: 84.718
+    - type: mrr_at_5
+      value: 85.312
+    - type: ndcg_at_1
+      value: 79.662
+    - type: ndcg_at_10
+      value: 72.366
+    - type: ndcg_at_100
+      value: 75.42999999999999
+    - type: ndcg_at_1000
+      value: 76.469
+    - type: ndcg_at_3
+      value: 67.258
+    - type: ndcg_at_5
+      value: 70.14099999999999
+    - type: precision_at_1
+      value: 79.662
+    - type: precision_at_10
+      value: 15.254999999999999
+    - type: precision_at_100
+      value: 1.763
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_3
+      value: 43.358000000000004
+    - type: precision_at_5
+      value: 28.288999999999998
+    - type: recall_at_1
+      value: 39.831
+    - type: recall_at_10
+      value: 76.273
+    - type: recall_at_100
+      value: 88.163
+    - type: recall_at_1000
+      value: 95.017
+    - type: recall_at_3
+      value: 65.037
+    - type: recall_at_5
+      value: 70.722
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 93.13879999999999
+    - type: ap
+      value: 89.94638859649079
+    - type: f1
+      value: 93.13371537570421
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.482
+    - type: map_at_10
+      value: 33.635999999999996
+    - type: map_at_100
+      value: 34.792
+    - type: map_at_1000
+      value: 34.839999999999996
+    - type: map_at_3
+      value: 29.553
+    - type: map_at_5
+      value: 31.892
+    - type: mrr_at_1
+      value: 22.076999999999998
+    - type: mrr_at_10
+      value: 34.247
+    - type: mrr_at_100
+      value: 35.337
+    - type: mrr_at_1000
+      value: 35.38
+    - type: mrr_at_3
+      value: 30.208000000000002
+    - type: mrr_at_5
+      value: 32.554
+    - type: ndcg_at_1
+      value: 22.092
+    - type: ndcg_at_10
+      value: 40.657
+    - type: ndcg_at_100
+      value: 46.251999999999995
+    - type: ndcg_at_1000
+      value: 47.466
+    - type: ndcg_at_3
+      value: 32.353
+    - type: ndcg_at_5
+      value: 36.532
+    - type: precision_at_1
+      value: 22.092
+    - type: precision_at_10
+      value: 6.5040000000000004
+    - type: precision_at_100
+      value: 0.9329999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 13.719999999999999
+    - type: precision_at_5
+      value: 10.344000000000001
+    - type: recall_at_1
+      value: 21.482
+    - type: recall_at_10
+      value: 62.316
+    - type: recall_at_100
+      value: 88.283
+    - type: recall_at_1000
+      value: 97.554
+    - type: recall_at_3
+      value: 39.822
+    - type: recall_at_5
+      value: 49.805
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 93.63657090743274
+    - type: f1
+      value: 93.49355466580484
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 66.01459188326493
+    - type: f1
+      value: 48.48386472180784
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 73.49024882313383
+    - type: f1
+      value: 71.8750196914349
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 77.38063214525891
+    - type: f1
+      value: 76.87364042122763
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 34.30572302322684
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 32.18418556367587
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.586
+    - type: map_at_10
+      value: 14.954999999999998
+    - type: map_at_100
+      value: 19.03
+    - type: map_at_1000
+      value: 20.653
+    - type: map_at_3
+      value: 10.859
+    - type: map_at_5
+      value: 12.577
+    - type: mrr_at_1
+      value: 47.988
+    - type: mrr_at_10
+      value: 57.57
+    - type: mrr_at_100
+      value: 58.050000000000004
+    - type: mrr_at_1000
+      value: 58.083
+    - type: mrr_at_3
+      value: 55.212
+    - type: mrr_at_5
+      value: 56.713
+    - type: ndcg_at_1
+      value: 45.975
+    - type: ndcg_at_10
+      value: 38.432
+    - type: ndcg_at_100
+      value: 35.287
+    - type: ndcg_at_1000
+      value: 44.35
+    - type: ndcg_at_3
+      value: 43.077
+    - type: ndcg_at_5
+      value: 40.952
+    - type: precision_at_1
+      value: 47.368
+    - type: precision_at_10
+      value: 28.483000000000004
+    - type: precision_at_100
+      value: 8.882
+    - type: precision_at_1000
+      value: 2.217
+    - type: precision_at_3
+      value: 40.144000000000005
+    - type: precision_at_5
+      value: 35.17
+    - type: recall_at_1
+      value: 6.586
+    - type: recall_at_10
+      value: 19.688
+    - type: recall_at_100
+      value: 35.426
+    - type: recall_at_1000
+      value: 68.09100000000001
+    - type: recall_at_3
+      value: 12.234
+    - type: recall_at_5
+      value: 14.937000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.322000000000003
+    - type: map_at_10
+      value: 43.224000000000004
+    - type: map_at_100
+      value: 44.275999999999996
+    - type: map_at_1000
+      value: 44.308
+    - type: map_at_3
+      value: 38.239000000000004
+    - type: map_at_5
+      value: 41.244
+    - type: mrr_at_1
+      value: 31.025000000000002
+    - type: mrr_at_10
+      value: 45.635
+    - type: mrr_at_100
+      value: 46.425
+    - type: mrr_at_1000
+      value: 46.445
+    - type: mrr_at_3
+      value: 41.42
+    - type: mrr_at_5
+      value: 44.038
+    - type: ndcg_at_1
+      value: 30.997000000000003
+    - type: ndcg_at_10
+      value: 51.55499999999999
+    - type: ndcg_at_100
+      value: 55.964999999999996
+    - type: ndcg_at_1000
+      value: 56.657000000000004
+    - type: ndcg_at_3
+      value: 42.185
+    - type: ndcg_at_5
+      value: 47.229
+    - type: precision_at_1
+      value: 30.997000000000003
+    - type: precision_at_10
+      value: 8.885
+    - type: precision_at_100
+      value: 1.1360000000000001
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 19.457
+    - type: precision_at_5
+      value: 14.554
+    - type: recall_at_1
+      value: 27.322000000000003
+    - type: recall_at_10
+      value: 74.59400000000001
+    - type: recall_at_100
+      value: 93.699
+    - type: recall_at_1000
+      value: 98.76599999999999
+    - type: recall_at_3
+      value: 50.43
+    - type: recall_at_5
+      value: 62.073
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.109
+    - type: map_at_10
+      value: 85.137
+    - type: map_at_100
+      value: 85.759
+    - type: map_at_1000
+      value: 85.774
+    - type: map_at_3
+      value: 82.25200000000001
+    - type: map_at_5
+      value: 84.031
+    - type: mrr_at_1
+      value: 82.01
+    - type: mrr_at_10
+      value: 87.97
+    - type: mrr_at_100
+      value: 88.076
+    - type: mrr_at_1000
+      value: 88.076
+    - type: mrr_at_3
+      value: 87.06
+    - type: mrr_at_5
+      value: 87.694
+    - type: ndcg_at_1
+      value: 81.99
+    - type: ndcg_at_10
+      value: 88.738
+    - type: ndcg_at_100
+      value: 89.928
+    - type: ndcg_at_1000
+      value: 90.01400000000001
+    - type: ndcg_at_3
+      value: 86.042
+    - type: ndcg_at_5
+      value: 87.505
+    - type: precision_at_1
+      value: 81.99
+    - type: precision_at_10
+      value: 13.468
+    - type: precision_at_100
+      value: 1.534
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.702999999999996
+    - type: precision_at_5
+      value: 24.706
+    - type: recall_at_1
+      value: 71.109
+    - type: recall_at_10
+      value: 95.58
+    - type: recall_at_100
+      value: 99.62299999999999
+    - type: recall_at_1000
+      value: 99.98899999999999
+    - type: recall_at_3
+      value: 87.69
+    - type: recall_at_5
+      value: 91.982
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 59.43361510023748
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 64.53582642500159
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.2299999999999995
+    - type: map_at_10
+      value: 11.802
+    - type: map_at_100
+      value: 14.454
+    - type: map_at_1000
+      value: 14.865
+    - type: map_at_3
+      value: 7.911
+    - type: map_at_5
+      value: 9.912
+    - type: mrr_at_1
+      value: 21.0
+    - type: mrr_at_10
+      value: 32.722
+    - type: mrr_at_100
+      value: 33.989000000000004
+    - type: mrr_at_1000
+      value: 34.026
+    - type: mrr_at_3
+      value: 28.65
+    - type: mrr_at_5
+      value: 31.075000000000003
+    - type: ndcg_at_1
+      value: 21.0
+    - type: ndcg_at_10
+      value: 20.161
+    - type: ndcg_at_100
+      value: 30.122
+    - type: ndcg_at_1000
+      value: 36.399
+    - type: ndcg_at_3
+      value: 17.881
+    - type: ndcg_at_5
+      value: 16.439999999999998
+    - type: precision_at_1
+      value: 21.0
+    - type: precision_at_10
+      value: 10.94
+    - type: precision_at_100
+      value: 2.5340000000000003
+    - type: precision_at_1000
+      value: 0.402
+    - type: precision_at_3
+      value: 17.067
+    - type: precision_at_5
+      value: 15.120000000000001
+    - type: recall_at_1
+      value: 4.2299999999999995
+    - type: recall_at_10
+      value: 22.163
+    - type: recall_at_100
+      value: 51.42
+    - type: recall_at_1000
+      value: 81.652
+    - type: recall_at_3
+      value: 10.353
+    - type: recall_at_5
+      value: 15.323
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.44056731476951
+    - type: cos_sim_spearman
+      value: 82.32974396072802
+    - type: euclidean_pearson
+      value: 83.63616080755894
+    - type: euclidean_spearman
+      value: 82.32974071069209
+    - type: manhattan_pearson
+      value: 83.64149958303744
+    - type: manhattan_spearman
+      value: 82.32161014878858
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.65083720426293
+    - type: cos_sim_spearman
+      value: 77.60786500521749
+    - type: euclidean_pearson
+      value: 81.8149634918642
+    - type: euclidean_spearman
+      value: 77.60637450428892
+    - type: manhattan_pearson
+      value: 81.83507575657566
+    - type: manhattan_spearman
+      value: 77.613220311151
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.35683624595698
+    - type: cos_sim_spearman
+      value: 87.94550696434106
+    - type: euclidean_pearson
+      value: 87.50272679030367
+    - type: euclidean_spearman
+      value: 87.94550696434106
+    - type: manhattan_pearson
+      value: 87.4759786099497
+    - type: manhattan_spearman
+      value: 87.90226811166427
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.27438743391316
+    - type: cos_sim_spearman
+      value: 83.85378984594779
+    - type: euclidean_pearson
+      value: 85.25840635223642
+    - type: euclidean_spearman
+      value: 83.85378983163673
+    - type: manhattan_pearson
+      value: 85.24936075631025
+    - type: manhattan_spearman
+      value: 83.85052479958138
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.4783814521557
+    - type: cos_sim_spearman
+      value: 88.473284566453
+    - type: euclidean_pearson
+      value: 87.94757741870404
+    - type: euclidean_spearman
+      value: 88.47327698999878
+    - type: manhattan_pearson
+      value: 87.93617414057984
+    - type: manhattan_spearman
+      value: 88.45889274229359
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.68359147631057
+    - type: cos_sim_spearman
+      value: 86.46426572535646
+    - type: euclidean_pearson
+      value: 85.98303971468599
+    - type: euclidean_spearman
+      value: 86.46426572535646
+    - type: manhattan_pearson
+      value: 85.95109710640726
+    - type: manhattan_spearman
+      value: 86.43282632541583
+  - 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: 88.88758959688604
+    - type: cos_sim_spearman
+      value: 88.70384784133324
+    - type: euclidean_pearson
+      value: 89.27293800474978
+    - type: euclidean_spearman
+      value: 88.70384784133324
+    - type: manhattan_pearson
+      value: 89.41494348093664
+    - type: manhattan_spearman
+      value: 88.8330050824941
+  - 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: 67.66759812551814
+    - type: cos_sim_spearman
+      value: 68.02368115471576
+    - type: euclidean_pearson
+      value: 69.52859542757353
+    - type: euclidean_spearman
+      value: 68.02368115471576
+    - type: manhattan_pearson
+      value: 69.50332399468952
+    - type: manhattan_spearman
+      value: 67.91228681203849
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.75891320010409
+    - type: cos_sim_spearman
+      value: 88.33063922402347
+    - type: euclidean_pearson
+      value: 88.02964654543274
+    - type: euclidean_spearman
+      value: 88.33063922402347
+    - type: manhattan_pearson
+      value: 88.03029440701458
+    - type: manhattan_spearman
+      value: 88.3158691488696
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 87.46897310470844
+    - type: mrr
+      value: 96.29042072669523
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 62.261
+    - type: map_at_10
+      value: 71.023
+    - type: map_at_100
+      value: 71.5
+    - type: map_at_1000
+      value: 71.518
+    - type: map_at_3
+      value: 67.857
+    - type: map_at_5
+      value: 69.44500000000001
+    - type: mrr_at_1
+      value: 65.0
+    - type: mrr_at_10
+      value: 72.11
+    - type: mrr_at_100
+      value: 72.479
+    - type: mrr_at_1000
+      value: 72.49600000000001
+    - type: mrr_at_3
+      value: 69.722
+    - type: mrr_at_5
+      value: 71.02199999999999
+    - type: ndcg_at_1
+      value: 65.0
+    - type: ndcg_at_10
+      value: 75.40599999999999
+    - type: ndcg_at_100
+      value: 77.41
+    - type: ndcg_at_1000
+      value: 77.83200000000001
+    - type: ndcg_at_3
+      value: 69.95599999999999
+    - type: ndcg_at_5
+      value: 72.296
+    - type: precision_at_1
+      value: 65.0
+    - type: precision_at_10
+      value: 9.966999999999999
+    - type: precision_at_100
+      value: 1.097
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 26.667
+    - type: precision_at_5
+      value: 17.666999999999998
+    - type: recall_at_1
+      value: 62.261
+    - type: recall_at_10
+      value: 87.822
+    - type: recall_at_100
+      value: 96.833
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 73.06099999999999
+    - type: recall_at_5
+      value: 78.88300000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.86138613861387
+    - type: cos_sim_ap
+      value: 96.7851799601876
+    - type: cos_sim_f1
+      value: 92.94354838709677
+    - type: cos_sim_precision
+      value: 93.69918699186992
+    - type: cos_sim_recall
+      value: 92.2
+    - type: dot_accuracy
+      value: 99.86138613861387
+    - type: dot_ap
+      value: 96.78517996018759
+    - type: dot_f1
+      value: 92.94354838709677
+    - type: dot_precision
+      value: 93.69918699186992
+    - type: dot_recall
+      value: 92.2
+    - type: euclidean_accuracy
+      value: 99.86138613861387
+    - type: euclidean_ap
+      value: 96.78517996018759
+    - type: euclidean_f1
+      value: 92.94354838709677
+    - type: euclidean_precision
+      value: 93.69918699186992
+    - type: euclidean_recall
+      value: 92.2
+    - type: manhattan_accuracy
+      value: 99.86336633663366
+    - type: manhattan_ap
+      value: 96.79790073128503
+    - type: manhattan_f1
+      value: 93.0930930930931
+    - type: manhattan_precision
+      value: 93.18637274549098
+    - type: manhattan_recall
+      value: 93.0
+    - type: max_accuracy
+      value: 99.86336633663366
+    - type: max_ap
+      value: 96.79790073128503
+    - type: max_f1
+      value: 93.0930930930931
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 65.07696952556874
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.51701116515262
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 55.40099299306496
+    - type: mrr
+      value: 56.411316420507596
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.940008734510055
+    - type: cos_sim_spearman
+      value: 31.606997026865212
+    - type: dot_pearson
+      value: 30.940010256206353
+    - type: dot_spearman
+      value: 31.62194110302714
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.197
+    - type: map_at_10
+      value: 1.6549999999999998
+    - type: map_at_100
+      value: 8.939
+    - type: map_at_1000
+      value: 22.402
+    - type: map_at_3
+      value: 0.587
+    - type: map_at_5
+      value: 0.931
+    - type: mrr_at_1
+      value: 74.0
+    - type: mrr_at_10
+      value: 84.667
+    - type: mrr_at_100
+      value: 84.667
+    - type: mrr_at_1000
+      value: 84.667
+    - type: mrr_at_3
+      value: 83.667
+    - type: mrr_at_5
+      value: 84.667
+    - type: ndcg_at_1
+      value: 69.0
+    - type: ndcg_at_10
+      value: 66.574
+    - type: ndcg_at_100
+      value: 51.074
+    - type: ndcg_at_1000
+      value: 47.263
+    - type: ndcg_at_3
+      value: 71.95
+    - type: ndcg_at_5
+      value: 70.52000000000001
+    - type: precision_at_1
+      value: 74.0
+    - type: precision_at_10
+      value: 70.39999999999999
+    - type: precision_at_100
+      value: 52.580000000000005
+    - type: precision_at_1000
+      value: 20.93
+    - type: precision_at_3
+      value: 76.667
+    - type: precision_at_5
+      value: 75.6
+    - type: recall_at_1
+      value: 0.197
+    - type: recall_at_10
+      value: 1.92
+    - type: recall_at_100
+      value: 12.655
+    - type: recall_at_1000
+      value: 44.522
+    - type: recall_at_3
+      value: 0.639
+    - type: recall_at_5
+      value: 1.03
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.735
+    - type: map_at_10
+      value: 9.064
+    - type: map_at_100
+      value: 15.021999999999998
+    - type: map_at_1000
+      value: 16.596
+    - type: map_at_3
+      value: 4.188
+    - type: map_at_5
+      value: 6.194999999999999
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 44.413000000000004
+    - type: mrr_at_100
+      value: 45.433
+    - type: mrr_at_1000
+      value: 45.452999999999996
+    - type: mrr_at_3
+      value: 41.497
+    - type: mrr_at_5
+      value: 42.925000000000004
+    - type: ndcg_at_1
+      value: 22.448999999999998
+    - type: ndcg_at_10
+      value: 22.597
+    - type: ndcg_at_100
+      value: 34.893
+    - type: ndcg_at_1000
+      value: 46.763
+    - type: ndcg_at_3
+      value: 24.366
+    - type: ndcg_at_5
+      value: 23.959
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 21.02
+    - type: precision_at_100
+      value: 7.51
+    - type: precision_at_1000
+      value: 1.541
+    - type: precision_at_3
+      value: 27.211000000000002
+    - type: precision_at_5
+      value: 25.306
+    - type: recall_at_1
+      value: 1.735
+    - type: recall_at_10
+      value: 15.870999999999999
+    - type: recall_at_100
+      value: 47.385
+    - type: recall_at_1000
+      value: 83.55
+    - type: recall_at_3
+      value: 5.813
+    - type: recall_at_5
+      value: 9.707
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.19
+    - type: ap
+      value: 15.106812062408629
+    - type: f1
+      value: 55.254852511954255
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 61.553480475382
+    - type: f1
+      value: 61.697424438626435
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 53.12092298453447
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.35173153722357
+    - type: cos_sim_ap
+      value: 78.22985044080261
+    - type: cos_sim_f1
+      value: 71.23356926188069
+    - type: cos_sim_precision
+      value: 68.36487142163999
+    - type: cos_sim_recall
+      value: 74.35356200527704
+    - type: dot_accuracy
+      value: 87.35173153722357
+    - type: dot_ap
+      value: 78.22985958574529
+    - type: dot_f1
+      value: 71.23356926188069
+    - type: dot_precision
+      value: 68.36487142163999
+    - type: dot_recall
+      value: 74.35356200527704
+    - type: euclidean_accuracy
+      value: 87.35173153722357
+    - type: euclidean_ap
+      value: 78.22985909816191
+    - type: euclidean_f1
+      value: 71.23356926188069
+    - type: euclidean_precision
+      value: 68.36487142163999
+    - type: euclidean_recall
+      value: 74.35356200527704
+    - type: manhattan_accuracy
+      value: 87.36365261965786
+    - type: manhattan_ap
+      value: 78.18108280854142
+    - type: manhattan_f1
+      value: 71.19958634953466
+    - type: manhattan_precision
+      value: 69.79219462747086
+    - type: manhattan_recall
+      value: 72.66490765171504
+    - type: max_accuracy
+      value: 87.36365261965786
+    - type: max_ap
+      value: 78.22985958574529
+    - type: max_f1
+      value: 71.23356926188069
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.71424690495596
+    - type: cos_sim_ap
+      value: 85.53000600450122
+    - type: cos_sim_f1
+      value: 77.95508274231679
+    - type: cos_sim_precision
+      value: 74.92189718829879
+    - type: cos_sim_recall
+      value: 81.24422543886665
+    - type: dot_accuracy
+      value: 88.71424690495596
+    - type: dot_ap
+      value: 85.53000387261983
+    - type: dot_f1
+      value: 77.95508274231679
+    - type: dot_precision
+      value: 74.92189718829879
+    - type: dot_recall
+      value: 81.24422543886665
+    - type: euclidean_accuracy
+      value: 88.71424690495596
+    - type: euclidean_ap
+      value: 85.53000527321076
+    - type: euclidean_f1
+      value: 77.95508274231679
+    - type: euclidean_precision
+      value: 74.92189718829879
+    - type: euclidean_recall
+      value: 81.24422543886665
+    - type: manhattan_accuracy
+      value: 88.7297706368611
+    - type: manhattan_ap
+      value: 85.49670114967172
+    - type: manhattan_f1
+      value: 77.91265729089562
+    - type: manhattan_precision
+      value: 75.01425313568986
+    - type: manhattan_recall
+      value: 81.04404065291038
+    - type: max_accuracy
+      value: 88.7297706368611
+    - type: max_ap
+      value: 85.53000600450122
+    - type: max_f1
+      value: 77.95508274231679
 ---
 
 # {MODEL_NAME}