Model: RedHatAI/bge-base-en-v1.5-quant
Author: RedHatAI
Pipeline: feature-extraction
Library: transformers
Tags: transformers, onnx, bert, feature-extraction, mteb, sparse, sparsity, quantized, embeddings, int8, deepsparse, en, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: license: mit
language: en
tags: mteb, sparse, sparsity, quantized, onnx, embeddings, int8, deepsparse
model-index: name: bge-base-en-v1.5-quant
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.16417910447761
verified: no, type: ap
value: 39.62965026785565
verified: no, type: f1
value: 70.30041589476463
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 92.95087500000001
verified: no, type: ap
value: 89.92451248271642
verified: no, type: f1
value: 92.94162732408543
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 48.214
verified: no, type: f1
value: 47.57084372829096
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 48.499816497755646
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 42.006939120636034
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 62.390343953329875
verified: no, type: mrr
value: 75.69922613551422
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 89.03408553833623
verified: no, type: cos_sim_spearman
value: 86.71221676053791
verified: no, type: euclidean_pearson
value: 87.81477796215844
verified: no, type: euclidean_spearman
value: 87.28994076774481
verified: no, type: manhattan_pearson
value: 87.76204756059836
verified: no, type: manhattan_spearman
value: 87.1971675695072
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 86.35064935064935
verified: no, type: f1
value: 86.32782396028989
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 39.299558776859485
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 35.64603198816062
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.269999999999996
verified: no, type: f1
value: 45.9714399031315
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 89.7204
verified: no, type: ap
value: 85.70238397381907
verified: no, type: f1
value: 89.70961232185473
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.95120839033288
verified: no, type: f1
value: 93.70348712248138
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 75.25763793889648
verified: no, type: f1
value: 57.59583082574482
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 75.16476126429052
verified: no, type: f1
value: 73.29287381030854
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.9340954942838
verified: no, type: f1
value: 79.04036413238218
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 32.80025982143821
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 30.956464446009623
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.886626060290734
verified: no, type: mrr
value: 32.99813843700759
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 55.693914682185365
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 62.32723620518647
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 84.70275347034692
verified: no, type: cos_sim_spearman
value: 80.06126639668393
verified: no, type: euclidean_pearson
value: 82.18370726102707
verified: no, type: euclidean_spearman
value: 80.05483013524909
verified: no, type: manhattan_pearson
value: 82.11962032129463
verified: no, type: manhattan_spearman
value: 79.97174232961949
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 86.08210281025868
verified: no, type: cos_sim_spearman
value: 77.75002826042643
verified: no, type: euclidean_pearson
value: 83.06487161944293
verified: no, type: euclidean_spearman
value: 78.0677956304104
verified: no, type: manhattan_pearson
value: 83.04321232787379
verified: no, type: manhattan_spearman
value: 78.09582483148635
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 84.64353592106988
verified: no, type: cos_sim_spearman
value: 86.07934653140616
verified: no, type: euclidean_pearson
value: 85.21820182954883
verified: no, type: euclidean_spearman
value: 86.18828773665395
verified: no, type: manhattan_pearson
value: 85.12075207905364
verified: no, type: manhattan_spearman
value: 86.12061116344299
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 84.33571296969136
verified: no, type: cos_sim_spearman
value: 82.8868213429789
verified: no, type: euclidean_pearson
value: 83.65476643152161
verified: no, type: euclidean_spearman
value: 82.76439753890263
verified: no, type: manhattan_pearson
value: 83.63348951033883
verified: no, type: manhattan_spearman
value: 82.76176495070241
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 87.6337321089215
verified: no, type: cos_sim_spearman
value: 88.54453531860615
verified: no, type: euclidean_pearson
value: 87.68754116644199
verified: no, type: euclidean_spearman
value: 88.22610830299979
verified: no, type: manhattan_pearson
value: 87.62214887890859
verified: no, type: manhattan_spearman
value: 88.14766677391091
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 83.89742747806514
verified: no, type: cos_sim_spearman
value: 85.76282302560992
verified: no, type: euclidean_pearson
value: 84.83917251074928
verified: no, type: euclidean_spearman
value: 85.74354740775905
verified: no, type: manhattan_pearson
value: 84.91190952448616
verified: no, type: manhattan_spearman
value: 85.82001542154245
verified: no, 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: 87.70974342036347
verified: no, type: cos_sim_spearman
value: 87.82200371351459
verified: no, type: euclidean_pearson
value: 88.04095125600278
verified: no, type: euclidean_spearman
value: 87.5069523002544
verified: no, type: manhattan_pearson
value: 88.03247709799281
verified: no, type: manhattan_spearman
value: 87.43433979175654
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 65.0349727703108
verified: no, type: cos_sim_spearman
value: 65.46090125254047
verified: no, type: euclidean_pearson
value: 66.75349075443432
verified: no, type: euclidean_spearman
value: 65.57576680702924
verified: no, type: manhattan_pearson
value: 66.72598998285412
verified: no, type: manhattan_spearman
value: 65.63446184311414
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 85.18026134463653
verified: no, type: cos_sim_spearman
value: 86.79430055943524
verified: no, type: euclidean_pearson
value: 86.2668626122386
verified: no, type: euclidean_spearman
value: 86.72288498504841
verified: no, type: manhattan_pearson
value: 86.28615540445857
verified: no, type: manhattan_spearman
value: 86.7110630606802
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.05335415919195
verified: no, type: mrr
value: 96.27455968142243
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.84653465346534
verified: no, type: cos_sim_ap
value: 96.38115549823692
verified: no, type: cos_sim_f1
value: 92.15983813859383
verified: no, type: cos_sim_precision
value: 93.24462640736951
verified: no, type: cos_sim_recall
value: 91.10000000000001
verified: no, type: dot_accuracy
value: 99.81782178217821
verified: no, type: dot_ap
value: 95.65732630933346
verified: no, type: dot_f1
value: 90.68825910931176
verified: no, type: dot_precision
value: 91.80327868852459
verified: no, type: dot_recall
value: 89.60000000000001
verified: no, type: euclidean_accuracy
value: 99.84653465346534
verified: no, type: euclidean_ap
value: 96.34134720479366
verified: no, type: euclidean_f1
value: 92.1756688541141
verified: no, type: euclidean_precision
value: 93.06829765545362
verified: no, type: euclidean_recall
value: 91.3
verified: no, type: manhattan_accuracy
value: 99.84356435643565
verified: no, type: manhattan_ap
value: 96.38165573090185
verified: no, type: manhattan_f1
value: 92.07622868605819
verified: no, type: manhattan_precision
value: 92.35412474849095
verified: no, type: manhattan_recall
value: 91.8
verified: no, type: max_accuracy
value: 99.84653465346534
verified: no, type: max_ap
value: 96.38165573090185
verified: no, type: max_f1
value: 92.1756688541141
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 64.81205738681385
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 34.083934029129445
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 54.447346270481376
verified: no, type: mrr
value: 55.382382119514475
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 72.123
verified: no, type: ap
value: 14.396060207954983
verified: no, type: f1
value: 55.24344377812756
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.67176004527447
verified: no, type: f1
value: 59.97320225890037
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 49.50190094208029
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 86.70799308577219
verified: no, type: cos_sim_ap
value: 76.40980707197174
verified: no, type: cos_sim_f1
value: 70.64264849074976
verified: no, type: cos_sim_precision
value: 65.56710347943967
verified: no, type: cos_sim_recall
value: 76.56992084432717
verified: no, type: dot_accuracy
value: 85.75430649102938
verified: no, type: dot_ap
value: 72.68783978286282
verified: no, type: dot_f1
value: 67.56951102588687
verified: no, type: dot_precision
value: 61.90162494510321
verified: no, type: dot_recall
value: 74.37994722955145
verified: no, type: euclidean_accuracy
value: 86.70799308577219
verified: no, type: euclidean_ap
value: 76.43046769325314
verified: no, type: euclidean_f1
value: 70.84852905421832
verified: no, type: euclidean_precision
value: 65.68981064021641
verified: no, type: euclidean_recall
value: 76.88654353562005
verified: no, type: manhattan_accuracy
value: 86.70203254455504
verified: no, type: manhattan_ap
value: 76.39254562413156
verified: no, type: manhattan_f1
value: 70.86557059961316
verified: no, type: manhattan_precision
value: 65.39491298527443
verified: no, type: manhattan_recall
value: 77.33509234828496
verified: no, type: max_accuracy
value: 86.70799308577219
verified: no, type: max_ap
value: 76.43046769325314
verified: no, type: max_f1
value: 70.86557059961316
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 88.92381728567548
verified: no, type: cos_sim_ap
value: 85.92532857788025
verified: no, type: cos_sim_f1
value: 78.11970128792525
verified: no, type: cos_sim_precision
value: 73.49806530445998
verified: no, type: cos_sim_recall
value: 83.3615645210964
verified: no, type: dot_accuracy
value: 88.28540381107618
verified: no, type: dot_ap
value: 84.42890126108796
verified: no, type: dot_f1
value: 76.98401162790698
verified: no, type: dot_precision
value: 72.89430222956234
verified: no, type: dot_recall
value: 81.55990144748999
verified: no, type: euclidean_accuracy
value: 88.95874568246207
verified: no, type: euclidean_ap
value: 85.88338025133037
verified: no, type: euclidean_f1
value: 78.14740888593184
verified: no, type: euclidean_precision
value: 75.15285084601166
verified: no, type: euclidean_recall
value: 81.3905143209116
verified: no, type: manhattan_accuracy
value: 88.92769821865176
verified: no, type: manhattan_ap
value: 85.84824183217555
verified: no, type: manhattan_f1
value: 77.9830582736965
verified: no, type: manhattan_precision
value: 74.15972222222223
verified: no, type: manhattan_recall
value: 82.22205112411457
verified: no, type: max_accuracy
value: 88.95874568246207
verified: no, type: max_ap
value: 85.92532857788025
verified: no, type: max_f1
value: 78.14740888593184
verified: no
Likes: 4 | All-time downloads: 178325
Created: 2023-10-03 12:45:42