Model: RedHatAI/bge-base-en-v1.5-sparse
Author: RedHatAI
Pipeline: feature-extraction
Library: transformers
Tags: transformers, onnx, bert, feature-extraction, mteb, sparse sparsity quantized onnx embeddings int8, 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
model-index: name: bge-base-en-v1.5-sparse
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 75.38805970149254
verified: no, type: ap
value: 38.80643435437097
verified: no, type: f1
value: 69.52906891019036
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 90.72759999999998
verified: no, type: ap
value: 87.07910150764239
verified: no, type: f1
value: 90.71025910882096
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: 45.494
verified: no, type: f1
value: 44.917953161904805
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: 46.50495921726095
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: 40.080055890804836
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 60.22880715757138
verified: no, type: mrr
value: 73.11227630479708
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: 86.9542549153515
verified: no, type: cos_sim_spearman
value: 83.93865958725257
verified: no, type: euclidean_pearson
value: 86.00372707912037
verified: no, type: euclidean_spearman
value: 84.97302050526537
verified: no, type: manhattan_pearson
value: 85.63207676453459
verified: no, type: manhattan_spearman
value: 84.82542678079645
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.29545454545455
verified: no, type: f1
value: 84.26780483160312
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: 36.78678386185847
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: 34.42462869304013
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 46.705
verified: no, type: f1
value: 41.82618717355017
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 83.14760000000001
verified: no, type: ap
value: 77.40813245635195
verified: no, type: f1
value: 83.08648833100911
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.0519835841313
verified: no, type: f1
value: 91.73392170858916
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 72.48974008207935
verified: no, type: f1
value: 54.812872972777505
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: 73.17753866846
verified: no, type: f1
value: 71.51091282373878
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: 77.5353059852051
verified: no, type: f1
value: 77.42427561340143
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: 32.00163251745748
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: 30.37879992380756
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.714215488161983
verified: no, type: mrr
value: 32.857362140961904
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 50.99679402527969
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: 59.28024721612242
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: 84.54645068673153
verified: no, type: cos_sim_spearman
value: 78.64401947043316
verified: no, type: euclidean_pearson
value: 82.36873285307261
verified: no, type: euclidean_spearman
value: 78.57406974337181
verified: no, type: manhattan_pearson
value: 82.33000263843067
verified: no, type: manhattan_spearman
value: 78.51127629983256
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: 83.3001843293691
verified: no, type: cos_sim_spearman
value: 74.87989254109124
verified: no, type: euclidean_pearson
value: 80.88523322810525
verified: no, type: euclidean_spearman
value: 75.6469299496058
verified: no, type: manhattan_pearson
value: 80.8921104008781
verified: no, type: manhattan_spearman
value: 75.65942956132456
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: 82.40319855455617
verified: no, type: cos_sim_spearman
value: 83.63807375781141
verified: no, type: euclidean_pearson
value: 83.28557187260904
verified: no, type: euclidean_spearman
value: 83.65223617817439
verified: no, type: manhattan_pearson
value: 83.30411918680012
verified: no, type: manhattan_spearman
value: 83.69204806663276
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: 83.08942420708404
verified: no, type: cos_sim_spearman
value: 80.39991846857053
verified: no, type: euclidean_pearson
value: 82.68275416568997
verified: no, type: euclidean_spearman
value: 80.49626214786178
verified: no, type: manhattan_pearson
value: 82.62993414444689
verified: no, type: manhattan_spearman
value: 80.44148684748403
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: 86.70365000096972
verified: no, type: cos_sim_spearman
value: 88.00515486253518
verified: no, type: euclidean_pearson
value: 87.65142168651604
verified: no, type: euclidean_spearman
value: 88.05834854642737
verified: no, type: manhattan_pearson
value: 87.59548659661925
verified: no, type: manhattan_spearman
value: 88.00573237576926
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: 82.47886818876728
verified: no, type: cos_sim_spearman
value: 84.30874770680975
verified: no, type: euclidean_pearson
value: 83.74580951498133
verified: no, type: euclidean_spearman
value: 84.60595431454789
verified: no, type: manhattan_pearson
value: 83.74122023121615
verified: no, type: manhattan_spearman
value: 84.60549899361064
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: 87.60257252565631
verified: no, type: cos_sim_spearman
value: 88.29577246271319
verified: no, type: euclidean_pearson
value: 88.25434138634807
verified: no, type: euclidean_spearman
value: 88.06678743723845
verified: no, type: manhattan_pearson
value: 88.3651048848073
verified: no, type: manhattan_spearman
value: 88.23688291108866
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: 61.666254720687206
verified: no, type: cos_sim_spearman
value: 63.83700525419119
verified: no, type: euclidean_pearson
value: 64.36325040161177
verified: no, type: euclidean_spearman
value: 63.99833771224718
verified: no, type: manhattan_pearson
value: 64.01356576965371
verified: no, type: manhattan_spearman
value: 63.7201674202641
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: 85.14584232139909
verified: no, type: cos_sim_spearman
value: 85.92570762612142
verified: no, type: euclidean_pearson
value: 86.34291503630607
verified: no, type: euclidean_spearman
value: 86.12670269109282
verified: no, type: manhattan_pearson
value: 86.26109450032494
verified: no, type: manhattan_spearman
value: 86.07665628498633
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 84.46430478723548
verified: no, type: mrr
value: 95.63907044299201
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: 99.82178217821782
verified: no, type: cos_sim_ap
value: 95.49612561375889
verified: no, type: cos_sim_f1
value: 91.02691924227318
verified: no, type: cos_sim_precision
value: 90.75546719681908
verified: no, type: cos_sim_recall
value: 91.3
verified: no, type: dot_accuracy
value: 99.67821782178218
verified: no, type: dot_ap
value: 90.55740832326241
verified: no, type: dot_f1
value: 83.30765279917823
verified: no, type: dot_precision
value: 85.6388595564942
verified: no, type: dot_recall
value: 81.10000000000001
verified: no, type: euclidean_accuracy
value: 99.82475247524752
verified: no, type: euclidean_ap
value: 95.4739426775874
verified: no, type: euclidean_f1
value: 91.07413010590017
verified: no, type: euclidean_precision
value: 91.8616480162767
verified: no, type: euclidean_recall
value: 90.3
verified: no, type: manhattan_accuracy
value: 99.82376237623762
verified: no, type: manhattan_ap
value: 95.48506891694475
verified: no, type: manhattan_f1
value: 91.02822580645163
verified: no, type: manhattan_precision
value: 91.76829268292683
verified: no, type: manhattan_recall
value: 90.3
verified: no, type: max_accuracy
value: 99.82475247524752
verified: no, type: max_ap
value: 95.49612561375889
verified: no, type: max_f1
value: 91.07413010590017
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 60.92486258951404
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: 32.97511013092965
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 52.31647363355174
verified: no, type: mrr
value: 53.26469792462439
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.917
verified: no, type: ap
value: 13.760770628090576
verified: no, type: f1
value: 54.23887489664618
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.49349179400113
verified: no, type: f1
value: 59.815392064510775
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 47.29662657485732
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: 85.74834594981225
verified: no, type: cos_sim_ap
value: 72.92449226447182
verified: no, type: cos_sim_f1
value: 68.14611644433363
verified: no, type: cos_sim_precision
value: 64.59465847317419
verified: no, type: cos_sim_recall
value: 72.1108179419525
verified: no, type: dot_accuracy
value: 82.73827263515527
verified: no, type: dot_ap
value: 63.27505594570806
verified: no, type: dot_f1
value: 61.717543651265
verified: no, type: dot_precision
value: 56.12443292287751
verified: no, type: dot_recall
value: 68.54881266490766
verified: no, type: euclidean_accuracy
value: 85.90332002145796
verified: no, type: euclidean_ap
value: 73.08299660990401
verified: no, type: euclidean_f1
value: 67.9050313691721
verified: no, type: euclidean_precision
value: 63.6091265268495
verified: no, type: euclidean_recall
value: 72.82321899736148
verified: no, type: manhattan_accuracy
value: 85.87351731537224
verified: no, type: manhattan_ap
value: 73.02205874497865
verified: no, type: manhattan_f1
value: 67.87532596547871
verified: no, type: manhattan_precision
value: 64.109781843772
verified: no, type: manhattan_recall
value: 72.1108179419525
verified: no, type: max_accuracy
value: 85.90332002145796
verified: no, type: max_ap
value: 73.08299660990401
verified: no, type: max_f1
value: 68.14611644433363
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: 88.84231769317343
verified: no, type: cos_sim_ap
value: 85.65683184516553
verified: no, type: cos_sim_f1
value: 77.60567077973222
verified: no, type: cos_sim_precision
value: 75.6563071297989
verified: no, type: cos_sim_recall
value: 79.65814598090545
verified: no, type: dot_accuracy
value: 86.85333954282609
verified: no, type: dot_ap
value: 80.79899186896125
verified: no, type: dot_f1
value: 74.15220098146928
verified: no, type: dot_precision
value: 70.70819946919961
verified: no, type: dot_recall
value: 77.94887588543271
verified: no, type: euclidean_accuracy
value: 88.77634183257655
verified: no, type: euclidean_ap
value: 85.67411484805298
verified: no, type: euclidean_f1
value: 77.61566374357423
verified: no, type: euclidean_precision
value: 76.23255123255123
verified: no, type: euclidean_recall
value: 79.04989220819218
verified: no, type: manhattan_accuracy
value: 88.79962743043428
verified: no, type: manhattan_ap
value: 85.6494795781639
verified: no, type: manhattan_f1
value: 77.54222877224805
verified: no, type: manhattan_precision
value: 76.14100185528757
verified: no, type: manhattan_recall
value: 78.99599630428088
verified: no, type: max_accuracy
value: 88.84231769317343
verified: no, type: max_ap
value: 85.67411484805298
verified: no, type: max_f1
value: 77.61566374357423
verified: no
Likes: 1 | All-time downloads: 34098
Created: 2023-10-01 13:08:44