Model: RedHatAI/bge-large-en-v1.5-quant
Author: RedHatAI
Pipeline: feature-extraction
Library: transformers
Tags: transformers, onnx, bert, feature-extraction, sparse, sparsity, quantized, embeddings, int8, mteb, deepsparse, en, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: license: mit
language: en
tags: sparse, sparsity, quantized, onnx, embeddings, int8, mteb, deepsparse
model-index: name: bge-large-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: 75.53731343283583
verified: no, type: ap
value: 38.30609312253564
verified: no, type: f1
value: 69.42802757893695
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: 89.27346145216443
verified: no, type: cos_sim_spearman
value: 88.36526647458979
verified: no, type: euclidean_pearson
value: 86.83053354694746
verified: no, type: euclidean_spearman
value: 87.56223612880584
verified: no, type: manhattan_pearson
value: 86.59250609226758
verified: no, type: manhattan_spearman
value: 87.70681773644885
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: 86.18998669716373
verified: no, type: cos_sim_spearman
value: 82.06129973984048
verified: no, type: euclidean_pearson
value: 83.65969509485801
verified: no, type: euclidean_spearman
value: 81.91666612708826
verified: no, type: manhattan_pearson
value: 83.6906794731384
verified: no, type: manhattan_spearman
value: 81.91752705367436
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: 86.93407086985752
verified: no, type: cos_sim_spearman
value: 78.82992283957066
verified: no, type: euclidean_pearson
value: 83.39733473832982
verified: no, type: euclidean_spearman
value: 78.86999229850214
verified: no, type: manhattan_pearson
value: 83.39397058098533
verified: no, type: manhattan_spearman
value: 78.85397971200753
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: 87.2586009863056
verified: no, type: cos_sim_spearman
value: 87.99415514558852
verified: no, type: euclidean_pearson
value: 86.98993652364359
verified: no, type: euclidean_spearman
value: 87.72725335668807
verified: no, type: manhattan_pearson
value: 86.897205761048
verified: no, type: manhattan_spearman
value: 87.65231103509018
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: 85.41417660460755
verified: no, type: cos_sim_spearman
value: 83.50291886604928
verified: no, type: euclidean_pearson
value: 84.67758839660924
verified: no, type: euclidean_spearman
value: 83.4368059512681
verified: no, type: manhattan_pearson
value: 84.66027228213025
verified: no, type: manhattan_spearman
value: 83.43472054456252
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: 88.02513262365703
verified: no, type: cos_sim_spearman
value: 89.00430907638267
verified: no, type: euclidean_pearson
value: 88.16290361497319
verified: no, type: euclidean_spearman
value: 88.6645154822661
verified: no, type: manhattan_pearson
value: 88.15337528825458
verified: no, type: manhattan_spearman
value: 88.66202950081507
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: 85.10194022827035
verified: no, type: cos_sim_spearman
value: 86.45367112223394
verified: no, type: euclidean_pearson
value: 85.45292931769094
verified: no, type: euclidean_spearman
value: 86.06607589083283
verified: no, type: manhattan_pearson
value: 85.4111233047049
verified: no, type: manhattan_spearman
value: 86.04379654118996
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: 89.86966589113663
verified: no, type: cos_sim_spearman
value: 89.5617056243649
verified: no, type: euclidean_pearson
value: 89.018495917952
verified: no, type: euclidean_spearman
value: 88.387335721179
verified: no, type: manhattan_pearson
value: 89.07568042943448
verified: no, type: manhattan_spearman
value: 88.51733863475219
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: 68.38465344518238
verified: no, type: cos_sim_spearman
value: 68.15219488291783
verified: no, type: euclidean_pearson
value: 68.99169681132668
verified: no, type: euclidean_spearman
value: 68.01334641045888
verified: no, type: manhattan_pearson
value: 68.84952679202642
verified: no, type: manhattan_spearman
value: 67.85430179655137
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: 86.60574360222778
verified: no, type: cos_sim_spearman
value: 87.8878986593873
verified: no, type: euclidean_pearson
value: 87.11557232168404
verified: no, type: euclidean_spearman
value: 87.40944677043365
verified: no, type: manhattan_pearson
value: 87.10395398212532
verified: no, type: manhattan_spearman
value: 87.35977283466168
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: 99.84752475247525
verified: no, type: cos_sim_ap
value: 96.49316696572335
verified: no, type: cos_sim_f1
value: 92.35352532274081
verified: no, type: cos_sim_precision
value: 91.71597633136095
verified: no, type: cos_sim_recall
value: 93
verified: no, type: dot_accuracy
value: 99.77326732673268
verified: no, type: dot_ap
value: 93.5497681978726
verified: no, type: dot_f1
value: 88.35582208895552
verified: no, type: dot_precision
value: 88.31168831168831
verified: no, type: dot_recall
value: 88.4
verified: no, type: euclidean_accuracy
value: 99.84653465346534
verified: no, type: euclidean_ap
value: 96.36378999360083
verified: no, type: euclidean_f1
value: 92.33052944087086
verified: no, type: euclidean_precision
value: 91.38099902056807
verified: no, type: euclidean_recall
value: 93.30000000000001
verified: no, type: manhattan_accuracy
value: 99.84455445544555
verified: no, type: manhattan_ap
value: 96.36035171233175
verified: no, type: manhattan_f1
value: 92.13260761999011
verified: no, type: manhattan_precision
value: 91.1851126346719
verified: no, type: manhattan_recall
value: 93.10000000000001
verified: no, type: max_accuracy
value: 99.84752475247525
verified: no, type: max_ap
value: 96.49316696572335
verified: no, type: max_f1
value: 92.35352532274081
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: 87.26828396018358
verified: no, type: cos_sim_ap
value: 77.79878217023162
verified: no, type: cos_sim_f1
value: 71.0425694621463
verified: no, type: cos_sim_precision
value: 68.71301775147928
verified: no, type: cos_sim_recall
value: 73.53562005277044
verified: no, type: dot_accuracy
value: 84.01978899684092
verified: no, type: dot_ap
value: 66.12134149171163
verified: no, type: dot_f1
value: 63.283507097098365
verified: no, type: dot_precision
value: 60.393191081275475
verified: no, type: dot_recall
value: 66.46437994722955
verified: no, type: euclidean_accuracy
value: 87.24444179531503
verified: no, type: euclidean_ap
value: 77.84821131946212
verified: no, type: euclidean_f1
value: 71.30456661215247
verified: no, type: euclidean_precision
value: 68.1413801394566
verified: no, type: euclidean_recall
value: 74.77572559366754
verified: no, type: manhattan_accuracy
value: 87.19079692436074
verified: no, type: manhattan_ap
value: 77.78054941055291
verified: no, type: manhattan_f1
value: 71.13002127393318
verified: no, type: manhattan_precision
value: 67.65055939062128
verified: no, type: manhattan_recall
value: 74.9868073878628
verified: no, type: max_accuracy
value: 87.26828396018358
verified: no, type: max_ap
value: 77.84821131946212
verified: no, type: max_f1
value: 71.30456661215247
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: 88.91023402025847
verified: no, type: cos_sim_ap
value: 85.94088151184411
verified: no, type: cos_sim_f1
value: 78.25673997223645
verified: no, type: cos_sim_precision
value: 74.45433059919367
verified: no, type: cos_sim_recall
value: 82.46843239913767
verified: no, type: dot_accuracy
value: 87.91865564481701
verified: no, type: dot_ap
value: 82.75373957440969
verified: no, type: dot_f1
value: 75.97383507276201
verified: no, type: dot_precision
value: 72.67294713160854
verified: no, type: dot_recall
value: 79.5888512473052
verified: no, type: euclidean_accuracy
value: 88.8539604921023
verified: no, type: euclidean_ap
value: 85.71590936389937
verified: no, type: euclidean_f1
value: 77.82902261742242
verified: no, type: euclidean_precision
value: 74.7219270279844
verified: no, type: euclidean_recall
value: 81.20572836464429
verified: no, type: manhattan_accuracy
value: 88.78992509799356
verified: no, type: manhattan_ap
value: 85.70200619366904
verified: no, type: manhattan_f1
value: 77.85875848203065
verified: no, type: manhattan_precision
value: 72.94315506222671
verified: no, type: manhattan_recall
value: 83.48475515860795
verified: no, type: max_accuracy
value: 88.91023402025847
verified: no, type: max_ap
value: 85.94088151184411
verified: no, type: max_f1
value: 78.25673997223645
verified: no
Likes: 22 | All-time downloads: 306768
Created: 2023-10-03 15:50:50