metadata
tags:
- mteb
model-index:
- name: all-mpnet-base-v2-negation
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 72.6268656716418
- type: ap
value: 36.40585820220466
- type: f1
value: 67.06383995428979
- task:
type: Classification
dataset:
type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 85.11834999999999
- type: ap
value: 79.72843246428603
- type: f1
value: 85.08938287851875
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 37.788000000000004
- type: f1
value: 37.40475118737949
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 45.73138953773995
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 39.13609863309245
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 65.56639026991134
- type: mrr
value: 77.8122938926263
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 72.27098152643569
- type: cos_sim_spearman
value: 71.13475338373253
- type: euclidean_pearson
value: 70.48545151074218
- type: euclidean_spearman
value: 69.49917394727082
- type: manhattan_pearson
value: 69.2653740752147
- type: manhattan_spearman
value: 68.59192435931085
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 84.7012987012987
- type: f1
value: 84.61766470772943
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 37.61314886948818
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 34.496442588205205
- task:
type: Classification
dataset:
type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.63
- type: f1
value: 40.24119129248194
- task:
type: Classification
dataset:
type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 74.73479999999999
- type: ap
value: 68.80435332319863
- type: f1
value: 74.66014345440416
- task:
type: Classification
dataset:
type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 93.06429548563612
- type: f1
value: 92.91686969560733
- task:
type: Classification
dataset:
type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 78.19197446420428
- type: f1
value: 61.50020940946492
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 73.86684599865502
- type: f1
value: 72.11245795864379
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 77.53866845998655
- type: f1
value: 77.51746806908895
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 33.66744884855605
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 31.951900966550262
- task:
type: Reranking
dataset:
type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.34485636178124
- type: mrr
value: 30.118035109577022
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 47.14306531904168
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 51.59878183893005
- task:
type: STS
dataset:
type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 78.5530506834234
- type: cos_sim_spearman
value: 77.45787185404667
- type: euclidean_pearson
value: 76.37727601604011
- type: euclidean_spearman
value: 77.14250754925013
- type: manhattan_pearson
value: 75.85855462882735
- type: manhattan_spearman
value: 76.6223895689777
- task:
type: STS
dataset:
type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 83.1019526956277
- type: cos_sim_spearman
value: 72.98362332123834
- type: euclidean_pearson
value: 78.42992808997602
- type: euclidean_spearman
value: 70.79569301491145
- type: manhattan_pearson
value: 77.96413528436207
- type: manhattan_spearman
value: 70.34707852104586
- task:
type: STS
dataset:
type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 85.09200805966644
- type: cos_sim_spearman
value: 85.52497834636847
- type: euclidean_pearson
value: 84.20407512505086
- type: euclidean_spearman
value: 85.35640946044332
- type: manhattan_pearson
value: 83.79425758102826
- type: manhattan_spearman
value: 84.9531731481683
- task:
type: STS
dataset:
type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 82.43419245577238
- type: cos_sim_spearman
value: 79.87215923164575
- type: euclidean_pearson
value: 80.99628882719712
- type: euclidean_spearman
value: 79.2671186335978
- type: manhattan_pearson
value: 80.47076166661054
- type: manhattan_spearman
value: 78.82329686631051
- task:
type: STS
dataset:
type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 84.67294508915346
- type: cos_sim_spearman
value: 85.34528695616378
- type: euclidean_pearson
value: 83.65270617275111
- type: euclidean_spearman
value: 84.64456096952591
- type: manhattan_pearson
value: 83.26416114783083
- type: manhattan_spearman
value: 84.26944094512996
- task:
type: STS
dataset:
type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 80.70172607906416
- type: cos_sim_spearman
value: 81.96031310316046
- type: euclidean_pearson
value: 82.34820192315314
- type: euclidean_spearman
value: 82.72576940549405
- type: manhattan_pearson
value: 81.93093910116202
- type: manhattan_spearman
value: 82.25431799152639
- 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: 90.43640731744911
- type: cos_sim_spearman
value: 90.16343998541602
- type: euclidean_pearson
value: 89.49834342254633
- type: euclidean_spearman
value: 90.17304989919288
- type: manhattan_pearson
value: 89.32424382015218
- type: manhattan_spearman
value: 89.91884845996768
- 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: 62.06205206393254
- type: cos_sim_spearman
value: 60.920792876665885
- type: euclidean_pearson
value: 60.49188637403393
- type: euclidean_spearman
value: 60.73500415357452
- type: manhattan_pearson
value: 59.94692152491976
- type: manhattan_spearman
value: 60.215426858338994
- task:
type: STS
dataset:
type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 84.78948820087687
- type: cos_sim_spearman
value: 84.64531509697663
- type: euclidean_pearson
value: 84.77264321816324
- type: euclidean_spearman
value: 84.67485410196043
- type: manhattan_pearson
value: 84.43100272264775
- type: manhattan_spearman
value: 84.29254033404217
- task:
type: Reranking
dataset:
type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 88.39411601972704
- type: mrr
value: 96.49192583016112
- task:
type: PairClassification
dataset:
type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.55445544554455
- type: cos_sim_ap
value: 84.82462858434408
- type: cos_sim_f1
value: 76.11464968152866
- type: cos_sim_precision
value: 81.10859728506787
- type: cos_sim_recall
value: 71.7
- type: dot_accuracy
value: 99.48613861386139
- type: dot_ap
value: 80.97278220281665
- type: dot_f1
value: 72.2914669223394
- type: dot_precision
value: 69.42909760589319
- type: dot_recall
value: 75.4
- type: euclidean_accuracy
value: 99.56138613861386
- type: euclidean_ap
value: 85.21566333946467
- type: euclidean_f1
value: 76.60239708181345
- type: euclidean_precision
value: 79.97823721436343
- type: euclidean_recall
value: 73.5
- type: manhattan_accuracy
value: 99.55148514851486
- type: manhattan_ap
value: 84.49960192851891
- type: manhattan_f1
value: 75.9681697612732
- type: manhattan_precision
value: 80.90395480225989
- type: manhattan_recall
value: 71.6
- type: max_accuracy
value: 99.56138613861386
- type: max_ap
value: 85.21566333946467
- type: max_f1
value: 76.60239708181345
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 49.33929838947165
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 31.523973661953686
- task:
type: Reranking
dataset:
type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 52.22408767861519
- type: mrr
value: 53.16279921059333
- task:
type: Summarization
dataset:
type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 28.128173244098726
- type: cos_sim_spearman
value: 30.149225143523662
- type: dot_pearson
value: 24.322914168643386
- type: dot_spearman
value: 26.38194545372431
- task:
type: Classification
dataset:
type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 67.6684
- type: ap
value: 12.681984793717413
- type: f1
value: 51.97637585601529
- task:
type: Classification
dataset:
type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 58.44086021505377
- type: f1
value: 58.68058329615692
- task:
type: Clustering
dataset:
type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 44.226944341054015
- task:
type: PairClassification
dataset:
type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 86.87488823985218
- type: cos_sim_ap
value: 76.85283892335002
- type: cos_sim_f1
value: 70.42042042042041
- type: cos_sim_precision
value: 66.96811042360781
- type: cos_sim_recall
value: 74.24802110817942
- type: dot_accuracy
value: 84.85426476724086
- type: dot_ap
value: 70.77036812650887
- type: dot_f1
value: 66.4901577069184
- type: dot_precision
value: 58.97488258117215
- type: dot_recall
value: 76.2005277044855
- type: euclidean_accuracy
value: 86.95833581689217
- type: euclidean_ap
value: 77.05903224969623
- type: euclidean_f1
value: 70.75323419175432
- type: euclidean_precision
value: 65.2979245704084
- type: euclidean_recall
value: 77.20316622691293
- type: manhattan_accuracy
value: 86.88084878106932
- type: manhattan_ap
value: 76.95056209047733
- type: manhattan_f1
value: 70.61542203843348
- type: manhattan_precision
value: 65.50090252707581
- type: manhattan_recall
value: 76.59630606860158
- type: max_accuracy
value: 86.95833581689217
- type: max_ap
value: 77.05903224969623
- type: max_f1
value: 70.75323419175432
- task:
type: PairClassification
dataset:
type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 88.43870066363954
- type: cos_sim_ap
value: 84.77197321507954
- type: cos_sim_f1
value: 76.91440595175472
- type: cos_sim_precision
value: 75.11375311903713
- type: cos_sim_recall
value: 78.80351093316908
- type: dot_accuracy
value: 87.60624054022587
- type: dot_ap
value: 83.16574114504616
- type: dot_f1
value: 75.5050226294293
- type: dot_precision
value: 72.30953555571217
- type: dot_recall
value: 78.99599630428088
- type: euclidean_accuracy
value: 88.2951061435169
- type: euclidean_ap
value: 84.28559058741602
- type: euclidean_f1
value: 76.7921146953405
- type: euclidean_precision
value: 74.54334589736156
- type: euclidean_recall
value: 79.1807822605482
- type: manhattan_accuracy
value: 88.23883261536074
- type: manhattan_ap
value: 84.20593815258039
- type: manhattan_f1
value: 76.74366281685916
- type: manhattan_precision
value: 74.80263157894737
- type: manhattan_recall
value: 78.78811210348013
- type: max_accuracy
value: 88.43870066363954
- type: max_ap
value: 84.77197321507954
- type: max_f1
value: 76.91440595175472