Add other MTEB eval numbers

README.md

@@ -7591,6 +7591,1059 @@ model-index:
       value: 11.994
     task:
       type: Retrieval
+  - dataset:
+      config: en
+      name: MTEB AmazonCounterfactualClassification (en)
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+      split: test
+      type: mteb/amazon_counterfactual
+    metrics:
+    - type: accuracy
+      value: 68.29850746268657
+    - type: ap
+      value: 30.109785890841966
+    - type: ap_weighted
+      value: 30.109785890841966
+    - type: f1
+      value: 61.76875915202924
+    - type: f1_weighted
+      value: 71.32073190458556
+    - type: main_score
+      value: 68.29850746268657
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB AmazonPolarityClassification (default)
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+      split: test
+      type: mteb/amazon_polarity
+    metrics:
+    - type: accuracy
+      value: 90.3068
+    - type: ap
+      value: 86.17914339624038
+    - type: ap_weighted
+      value: 86.17914339624038
+    - type: f1
+      value: 90.29716826358077
+    - type: f1_weighted
+      value: 90.29716826358077
+    - type: main_score
+      value: 90.3068
+    task:
+      type: Classification
+  - dataset:
+      config: en
+      name: MTEB AmazonReviewsClassification (en)
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+      split: test
+      type: mteb/amazon_reviews_multi
+    metrics:
+    - type: accuracy
+      value: 46.272000000000006
+    - type: f1
+      value: 45.57042543386915
+    - type: f1_weighted
+      value: 45.57042543386915
+    - type: main_score
+      value: 46.272000000000006
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB ArxivClusteringP2P (default)
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+      split: test
+      type: mteb/arxiv-clustering-p2p
+    metrics:
+    - type: main_score
+      value: 44.9469238081379
+    - type: v_measure
+      value: 44.9469238081379
+    - type: v_measure_std
+      value: 13.26811262671461
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB ArxivClusteringS2S (default)
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+      split: test
+      type: mteb/arxiv-clustering-s2s
+    metrics:
+    - type: main_score
+      value: 34.12071448053325
+    - type: v_measure
+      value: 34.12071448053325
+    - type: v_measure_std
+      value: 13.7019879046405
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB AskUbuntuDupQuestions (default)
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+      split: test
+      type: mteb/askubuntudupquestions-reranking
+    metrics:
+    - type: main_score
+      value: 61.597667288657846
+    - type: map
+      value: 61.597667288657846
+    - type: mrr
+      value: 75.57940904893813
+    - type: nAUC_map_diff1
+      value: 8.745172077340095
+    - type: nAUC_map_max
+      value: 20.114863024035493
+    - type: nAUC_map_std
+      value: 15.991351189572192
+    - type: nAUC_mrr_diff1
+      value: 20.781369244159983
+    - type: nAUC_mrr_max
+      value: 30.78542570228559
+    - type: nAUC_mrr_std
+      value: 19.861484857303676
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB BIOSSES (default)
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+    - type: cosine_pearson
+      value: 88.55587996301419
+    - type: cosine_spearman
+      value: 86.40317357420093
+    - type: euclidean_pearson
+      value: 86.93771958250231
+    - type: euclidean_spearman
+      value: 86.40317357420093
+    - type: main_score
+      value: 86.40317357420093
+    - type: manhattan_pearson
+      value: 86.92196577117366
+    - type: manhattan_spearman
+      value: 85.79834051556095
+    - type: pearson
+      value: 88.55587996301419
+    - type: spearman
+      value: 86.40317357420093
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB Banking77Classification (default)
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+      split: test
+      type: mteb/banking77
+    metrics:
+    - type: accuracy
+      value: 80.0064935064935
+    - type: f1
+      value: 79.29524254086299
+    - type: f1_weighted
+      value: 79.295242540863
+    - type: main_score
+      value: 80.0064935064935
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB BiorxivClusteringP2P (default)
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+      split: test
+      type: mteb/biorxiv-clustering-p2p
+    metrics:
+    - type: main_score
+      value: 35.27186813341181
+    - type: v_measure
+      value: 35.27186813341181
+    - type: v_measure_std
+      value: 0.8621482145872432
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB BiorxivClusteringS2S (default)
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+      split: test
+      type: mteb/biorxiv-clustering-s2s
+    metrics:
+    - type: main_score
+      value: 28.411805064852295
+    - type: v_measure
+      value: 28.411805064852295
+    - type: v_measure_std
+      value: 0.7194290078011281
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB EmotionClassification (default)
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+      split: test
+      type: mteb/emotion
+    metrics:
+    - type: accuracy
+      value: 43.675
+    - type: f1
+      value: 40.15061931375577
+    - type: f1_weighted
+      value: 45.714186572727066
+    - type: main_score
+      value: 43.675
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB ImdbClassification (default)
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+      split: test
+      type: mteb/imdb
+    metrics:
+    - type: accuracy
+      value: 84.35640000000001
+    - type: ap
+      value: 79.07507736685174
+    - type: ap_weighted
+      value: 79.07507736685174
+    - type: f1
+      value: 84.32288494833531
+    - type: f1_weighted
+      value: 84.32288494833531
+    - type: main_score
+      value: 84.35640000000001
+    task:
+      type: Classification
+  - dataset:
+      config: en
+      name: MTEB MTOPDomainClassification (en)
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+      split: test
+      type: mteb/mtop_domain
+    metrics:
+    - type: accuracy
+      value: 91.35658914728684
+    - type: f1
+      value: 90.86877537911086
+    - type: f1_weighted
+      value: 91.3282092774443
+    - type: main_score
+      value: 91.35658914728684
+    task:
+      type: Classification
+  - dataset:
+      config: en
+      name: MTEB MTOPIntentClassification (en)
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+      split: test
+      type: mteb/mtop_intent
+    metrics:
+    - type: accuracy
+      value: 60.63611491108071
+    - type: f1
+      value: 42.78886482112741
+    - type: f1_weighted
+      value: 63.44208631840539
+    - type: main_score
+      value: 60.63611491108071
+    task:
+      type: Classification
+  - dataset:
+      config: en
+      name: MTEB MassiveIntentClassification (en)
+      revision: 4672e20407010da34463acc759c162ca9734bca6
+      split: test
+      type: mteb/amazon_massive_intent
+    metrics:
+    - type: accuracy
+      value: 66.68796234028245
+    - type: f1
+      value: 64.44940791000278
+    - type: f1_weighted
+      value: 65.77554417406792
+    - type: main_score
+      value: 66.68796234028245
+    task:
+      type: Classification
+  - dataset:
+      config: en
+      name: MTEB MassiveScenarioClassification (en)
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
+      split: test
+      type: mteb/amazon_massive_scenario
+    metrics:
+    - type: accuracy
+      value: 73.0598520511096
+    - type: f1
+      value: 72.14267273884774
+    - type: f1_weighted
+      value: 72.93345180137516
+    - type: main_score
+      value: 73.0598520511096
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB MedrxivClusteringP2P (default)
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+      split: test
+      type: mteb/medrxiv-clustering-p2p
+    metrics:
+    - type: main_score
+      value: 31.143081341699606
+    - type: v_measure
+      value: 31.143081341699606
+    - type: v_measure_std
+      value: 1.5578716347076906
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB MedrxivClusteringS2S (default)
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+      split: test
+      type: mteb/medrxiv-clustering-s2s
+    metrics:
+    - type: main_score
+      value: 27.010818869829556
+    - type: v_measure
+      value: 27.010818869829556
+    - type: v_measure_std
+      value: 1.1771554540819378
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB MindSmallReranking (default)
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
+      split: test
+      type: mteb/mind_small
+    metrics:
+    - type: main_score
+      value: 30.20503776754942
+    - type: map
+      value: 30.20503776754942
+    - type: mrr
+      value: 31.076636002733437
+    - type: nAUC_map_diff1
+      value: 7.290568655287842
+    - type: nAUC_map_max
+      value: -21.381599355932945
+    - type: nAUC_map_std
+      value: -7.709920607543168
+    - type: nAUC_mrr_diff1
+      value: 7.558397329284913
+    - type: nAUC_mrr_max
+      value: -15.981397186427607
+    - type: nAUC_mrr_std
+      value: -4.870495243168834
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB RedditClustering (default)
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+      split: test
+      type: mteb/reddit-clustering
+    metrics:
+    - type: main_score
+      value: 51.85893476633338
+    - type: v_measure
+      value: 51.85893476633338
+    - type: v_measure_std
+      value: 4.704770139385852
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB RedditClusteringP2P (default)
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+      split: test
+      type: mteb/reddit-clustering-p2p
+    metrics:
+    - type: main_score
+      value: 61.8124222918822
+    - type: v_measure
+      value: 61.8124222918822
+    - type: v_measure_std
+      value: 11.994472578100165
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB SICK-R (default)
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+    - type: cosine_pearson
+      value: 77.63310776935984
+    - type: cosine_spearman
+      value: 69.86468291111039
+    - type: euclidean_pearson
+      value: 73.91537077798837
+    - type: euclidean_spearman
+      value: 69.86468376650203
+    - type: main_score
+      value: 69.86468291111039
+    - type: manhattan_pearson
+      value: 73.68616048370464
+    - type: manhattan_spearman
+      value: 69.76232036206659
+    - type: pearson
+      value: 77.63310776935984
+    - type: spearman
+      value: 69.86468291111039
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS12 (default)
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+    - type: cosine_pearson
+      value: 57.71716838245049
+    - type: cosine_spearman
+      value: 61.797855543446424
+    - type: euclidean_pearson
+      value: 58.22958675325848
+    - type: euclidean_spearman
+      value: 61.797855543446424
+    - type: main_score
+      value: 61.797855543446424
+    - type: manhattan_pearson
+      value: 57.63117544997929
+    - type: manhattan_spearman
+      value: 61.3629404350085
+    - type: pearson
+      value: 57.71716838245049
+    - type: spearman
+      value: 61.797855543446424
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS13 (default)
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+    - type: cosine_pearson
+      value: 82.30260026790903
+    - type: cosine_spearman
+      value: 82.66959813070869
+    - type: euclidean_pearson
+      value: 82.08383017580783
+    - type: euclidean_spearman
+      value: 82.66959813070869
+    - type: main_score
+      value: 82.66959813070869
+    - type: manhattan_pearson
+      value: 81.77991451392153
+    - type: manhattan_spearman
+      value: 82.3652534745606
+    - type: pearson
+      value: 82.30260026790903
+    - type: spearman
+      value: 82.66959813070869
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS14 (default)
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+    - type: cosine_pearson
+      value: 71.50608384084478
+    - type: cosine_spearman
+      value: 68.94968064977785
+    - type: euclidean_pearson
+      value: 70.73381299949564
+    - type: euclidean_spearman
+      value: 68.94968064977785
+    - type: main_score
+      value: 68.94968064977785
+    - type: manhattan_pearson
+      value: 70.5385486953787
+    - type: manhattan_spearman
+      value: 68.82132770672365
+    - type: pearson
+      value: 71.50608384084478
+    - type: spearman
+      value: 68.94968064977785
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS15 (default)
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+    - type: cosine_pearson
+      value: 73.66969825874907
+    - type: cosine_spearman
+      value: 75.55374982088381
+    - type: euclidean_pearson
+      value: 75.9339313749594
+    - type: euclidean_spearman
+      value: 75.55374982088381
+    - type: main_score
+      value: 75.55374982088381
+    - type: manhattan_pearson
+      value: 75.88287553383817
+    - type: manhattan_spearman
+      value: 75.50729812977688
+    - type: pearson
+      value: 73.66969825874907
+    - type: spearman
+      value: 75.55374982088381
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS16 (default)
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+    - type: cosine_pearson
+      value: 74.5954724414016
+    - type: cosine_spearman
+      value: 77.2688820850505
+    - type: euclidean_pearson
+      value: 77.19866353971555
+    - type: euclidean_spearman
+      value: 77.2688820850505
+    - type: main_score
+      value: 77.2688820850505
+    - type: manhattan_pearson
+      value: 77.27072603680978
+    - type: manhattan_spearman
+      value: 77.29408453673607
+    - type: pearson
+      value: 74.5954724414016
+    - type: spearman
+      value: 77.2688820850505
+    task:
+      type: STS
+  - dataset:
+      config: en-en
+      name: MTEB STS17 (en-en)
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 71.52588722654055
+    - type: cosine_spearman
+      value: 74.97235736456061
+    - type: euclidean_pearson
+      value: 74.51952528854038
+    - type: euclidean_spearman
+      value: 74.97235736456061
+    - type: main_score
+      value: 74.97235736456061
+    - type: manhattan_pearson
+      value: 74.48272300884209
+    - type: manhattan_spearman
+      value: 74.80633649415176
+    - type: pearson
+      value: 71.52588722654055
+    - type: spearman
+      value: 74.97235736456061
+    task:
+      type: STS
+  - dataset:
+      config: en
+      name: MTEB STS22 (en)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 68.80031120401976
+    - type: cosine_spearman
+      value: 69.07945196478491
+    - type: euclidean_pearson
+      value: 68.99674496430792
+    - type: euclidean_spearman
+      value: 69.07945196478491
+    - type: main_score
+      value: 69.07945196478491
+    - type: manhattan_pearson
+      value: 69.00236107775687
+    - type: manhattan_spearman
+      value: 68.98064879049272
+    - type: pearson
+      value: 68.80031120401976
+    - type: spearman
+      value: 69.07945196478491
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark (default)
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+    - type: cosine_pearson
+      value: 65.6898007230089
+    - type: cosine_spearman
+      value: 69.72386211803668
+    - type: euclidean_pearson
+      value: 69.04523003701475
+    - type: euclidean_spearman
+      value: 69.72386211803668
+    - type: main_score
+      value: 69.72386211803668
+    - type: manhattan_pearson
+      value: 68.80479743770702
+    - type: manhattan_spearman
+      value: 69.43264575177459
+    - type: pearson
+      value: 65.6898007230089
+    - type: spearman
+      value: 69.72386211803668
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SciDocsRR (default)
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+      split: test
+      type: mteb/scidocs-reranking
+    metrics:
+    - type: main_score
+      value: 79.74088066874383
+    - type: map
+      value: 79.74088066874383
+    - type: mrr
+      value: 94.47697455050397
+    - type: nAUC_map_diff1
+      value: 8.036086256905502
+    - type: nAUC_map_max
+      value: 54.88199803816819
+    - type: nAUC_map_std
+      value: 69.16267942176574
+    - type: nAUC_mrr_diff1
+      value: 50.020738477678115
+    - type: nAUC_mrr_max
+      value: 83.28922770326483
+    - type: nAUC_mrr_std
+      value: 83.63973501802224
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB SprintDuplicateQuestions (default)
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+      split: test
+      type: mteb/sprintduplicatequestions-pairclassification
+    metrics:
+    - type: cosine_accuracy
+      value: 99.83861386138614
+    - type: cosine_accuracy_threshold
+      value: 74.75666999816895
+    - type: cosine_ap
+      value: 96.15132792066652
+    - type: cosine_f1
+      value: 91.84890656063618
+    - type: cosine_f1_threshold
+      value: 71.70594930648804
+    - type: cosine_precision
+      value: 91.30434782608695
+    - type: cosine_recall
+      value: 92.4
+    - type: dot_accuracy
+      value: 99.83861386138614
+    - type: dot_accuracy_threshold
+      value: 74.75666999816895
+    - type: dot_ap
+      value: 96.15132792066653
+    - type: dot_f1
+      value: 91.84890656063618
+    - type: dot_f1_threshold
+      value: 71.70596122741699
+    - type: dot_precision
+      value: 91.30434782608695
+    - type: dot_recall
+      value: 92.4
+    - type: euclidean_accuracy
+      value: 99.83861386138614
+    - type: euclidean_accuracy_threshold
+      value: 71.05395793914795
+    - type: euclidean_ap
+      value: 96.15132792066652
+    - type: euclidean_f1
+      value: 91.84890656063618
+    - type: euclidean_f1_threshold
+      value: 75.22505521774292
+    - type: euclidean_precision
+      value: 91.30434782608695
+    - type: euclidean_recall
+      value: 92.4
+    - type: main_score
+      value: 96.15132792066653
+    - type: manhattan_accuracy
+      value: 99.83564356435643
+    - type: manhattan_accuracy_threshold
+      value: 1547.6950645446777
+    - type: manhattan_ap
+      value: 96.06151211452136
+    - type: manhattan_f1
+      value: 91.61676646706587
+    - type: manhattan_f1_threshold
+      value: 1626.3608932495117
+    - type: manhattan_precision
+      value: 91.43426294820716
+    - type: manhattan_recall
+      value: 91.8
+    - type: max_ap
+      value: 96.15132792066653
+    - type: max_f1
+      value: 91.84890656063618
+    - type: max_precision
+      value: 91.43426294820716
+    - type: max_recall
+      value: 92.4
+    - type: similarity_accuracy
+      value: 99.83861386138614
+    - type: similarity_accuracy_threshold
+      value: 74.75666999816895
+    - type: similarity_ap
+      value: 96.15132792066652
+    - type: similarity_f1
+      value: 91.84890656063618
+    - type: similarity_f1_threshold
+      value: 71.70594930648804
+    - type: similarity_precision
+      value: 91.30434782608695
+    - type: similarity_recall
+      value: 92.4
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB StackExchangeClustering (default)
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+      split: test
+      type: mteb/stackexchange-clustering
+    metrics:
+    - type: main_score
+      value: 61.24120328328453
+    - type: v_measure
+      value: 61.24120328328453
+    - type: v_measure_std
+      value: 3.9946560691100372
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB StackExchangeClusteringP2P (default)
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+      split: test
+      type: mteb/stackexchange-clustering-p2p
+    metrics:
+    - type: main_score
+      value: 33.808268374864745
+    - type: v_measure
+      value: 33.808268374864745
+    - type: v_measure_std
+      value: 1.2212188701887239
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB StackOverflowDupQuestions (default)
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+      split: test
+      type: mteb/stackoverflowdupquestions-reranking
+    metrics:
+    - type: main_score
+      value: 52.19806018468037
+    - type: map
+      value: 52.19806018468037
+    - type: mrr
+      value: 52.98921462524404
+    - type: nAUC_map_diff1
+      value: 37.41443156995912
+    - type: nAUC_map_max
+      value: 9.410262727675603
+    - type: nAUC_map_std
+      value: 8.7094185014992
+    - type: nAUC_mrr_diff1
+      value: 37.78202772392581
+    - type: nAUC_mrr_max
+      value: 10.517635536565816
+    - type: nAUC_mrr_std
+      value: 8.509423813772491
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB SummEval (default)
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+    - type: cosine_pearson
+      value: 30.48413700430812
+    - type: cosine_spearman
+      value: 30.357162200875816
+    - type: dot_pearson
+      value: 30.484140144824938
+    - type: dot_spearman
+      value: 30.357162200875816
+    - type: main_score
+      value: 30.357162200875816
+    - type: pearson
+      value: 30.48413700430812
+    - type: spearman
+      value: 30.357162200875816
+    task:
+      type: Summarization
+  - dataset:
+      config: default
+      name: MTEB ToxicConversationsClassification (default)
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+      split: test
+      type: mteb/toxic_conversations_50k
+    metrics:
+    - type: accuracy
+      value: 66.8359375
+    - type: ap
+      value: 12.482653786025985
+    - type: ap_weighted
+      value: 12.482653786025985
+    - type: f1
+      value: 51.328608527332385
+    - type: f1_weighted
+      value: 74.07974463955398
+    - type: main_score
+      value: 66.8359375
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB TweetSentimentExtractionClassification (default)
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+      split: test
+      type: mteb/tweet_sentiment_extraction
+    metrics:
+    - type: accuracy
+      value: 53.907753254103
+    - type: f1
+      value: 54.22707647269581
+    - type: f1_weighted
+      value: 53.611822984407695
+    - type: main_score
+      value: 53.907753254103
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB TwentyNewsgroupsClustering (default)
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+      split: test
+      type: mteb/twentynewsgroups-clustering
+    metrics:
+    - type: main_score
+      value: 38.1364789307295
+    - type: v_measure
+      value: 38.1364789307295
+    - type: v_measure_std
+      value: 2.0731634966352077
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB TwitterSemEval2015 (default)
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+      split: test
+      type: mteb/twittersemeval2015-pairclassification
+    metrics:
+    - type: cosine_accuracy
+      value: 82.66674614054956
+    - type: cosine_accuracy_threshold
+      value: 79.80123162269592
+    - type: cosine_ap
+      value: 63.28209719072804
+    - type: cosine_f1
+      value: 60.16389710903711
+    - type: cosine_f1_threshold
+      value: 72.22893834114075
+    - type: cosine_precision
+      value: 52.90232185748599
+    - type: cosine_recall
+      value: 69.73614775725594
+    - type: dot_accuracy
+      value: 82.66674614054956
+    - type: dot_accuracy_threshold
+      value: 79.8012375831604
+    - type: dot_ap
+      value: 63.282103870645166
+    - type: dot_f1
+      value: 60.16389710903711
+    - type: dot_f1_threshold
+      value: 72.22894430160522
+    - type: dot_precision
+      value: 52.90232185748599
+    - type: dot_recall
+      value: 69.73614775725594
+    - type: euclidean_accuracy
+      value: 82.66674614054956
+    - type: euclidean_accuracy_threshold
+      value: 63.55905532836914
+    - type: euclidean_ap
+      value: 63.282095399953164
+    - type: euclidean_f1
+      value: 60.16389710903711
+    - type: euclidean_f1_threshold
+      value: 74.5265781879425
+    - type: euclidean_precision
+      value: 52.90232185748599
+    - type: euclidean_recall
+      value: 69.73614775725594
+    - type: main_score
+      value: 63.282103870645166
+    - type: manhattan_accuracy
+      value: 82.74423317637242
+    - type: manhattan_accuracy_threshold
+      value: 1415.380859375
+    - type: manhattan_ap
+      value: 63.26931757839598
+    - type: manhattan_f1
+      value: 60.11014948859166
+    - type: manhattan_f1_threshold
+      value: 1632.522201538086
+    - type: manhattan_precision
+      value: 52.359506559624045
+    - type: manhattan_recall
+      value: 70.55408970976254
+    - type: max_ap
+      value: 63.282103870645166
+    - type: max_f1
+      value: 60.16389710903711
+    - type: max_precision
+      value: 52.90232185748599
+    - type: max_recall
+      value: 70.55408970976254
+    - type: similarity_accuracy
+      value: 82.66674614054956
+    - type: similarity_accuracy_threshold
+      value: 79.80123162269592
+    - type: similarity_ap
+      value: 63.28209719072804
+    - type: similarity_f1
+      value: 60.16389710903711
+    - type: similarity_f1_threshold
+      value: 72.22893834114075
+    - type: similarity_precision
+      value: 52.90232185748599
+    - type: similarity_recall
+      value: 69.73614775725594
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB TwitterURLCorpus (default)
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+      split: test
+      type: mteb/twitterurlcorpus-pairclassification
+    metrics:
+    - type: cosine_accuracy
+      value: 88.10105949470253
+    - type: cosine_accuracy_threshold
+      value: 68.95147562026978
+    - type: cosine_ap
+      value: 84.65516103854583
+    - type: cosine_f1
+      value: 76.54581123301605
+    - type: cosine_f1_threshold
+      value: 63.92929553985596
+    - type: cosine_precision
+      value: 72.46526344751685
+    - type: cosine_recall
+      value: 81.11333538651063
+    - type: dot_accuracy
+      value: 88.10105949470253
+    - type: dot_accuracy_threshold
+      value: 68.95147562026978
+    - type: dot_ap
+      value: 84.65516301437592
+    - type: dot_f1
+      value: 76.54581123301605
+    - type: dot_f1_threshold
+      value: 63.92928957939148
+    - type: dot_precision
+      value: 72.46526344751685
+    - type: dot_recall
+      value: 81.11333538651063
+    - type: euclidean_accuracy
+      value: 88.10105949470253
+    - type: euclidean_accuracy_threshold
+      value: 78.80169153213501
+    - type: euclidean_ap
+      value: 84.65517268264233
+    - type: euclidean_f1
+      value: 76.54581123301605
+    - type: euclidean_f1_threshold
+      value: 84.93610620498657
+    - type: euclidean_precision
+      value: 72.46526344751685
+    - type: euclidean_recall
+      value: 81.11333538651063
+    - type: main_score
+      value: 84.65517268264233
+    - type: manhattan_accuracy
+      value: 88.08941669577366
+    - type: manhattan_accuracy_threshold
+      value: 1739.3169403076172
+    - type: manhattan_ap
+      value: 84.64592398855694
+    - type: manhattan_f1
+      value: 76.62890540443034
+    - type: manhattan_f1_threshold
+      value: 1861.344337463379
+    - type: manhattan_precision
+      value: 72.09775967413442
+    - type: manhattan_recall
+      value: 81.76778564829073
+    - type: max_ap
+      value: 84.65517268264233
+    - type: max_f1
+      value: 76.62890540443034
+    - type: max_precision
+      value: 72.46526344751685
+    - type: max_recall
+      value: 81.76778564829073
+    - type: similarity_accuracy
+      value: 88.10105949470253
+    - type: similarity_accuracy_threshold
+      value: 68.95147562026978
+    - type: similarity_ap
+      value: 84.65516103854583
+    - type: similarity_f1
+      value: 76.54581123301605
+    - type: similarity_f1_threshold
+      value: 63.92929553985596
+    - type: similarity_precision
+      value: 72.46526344751685
+    - type: similarity_recall
+      value: 81.11333538651063
+    task:
+      type: PairClassification
 ---