Update README.md

README.md

@@ -4,6 +4,400 @@ language:
 - en
 tags:
 - sparse sparsity quantized onnx embeddings int8
+- mteb
+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
+    - type: ap
+      value: 38.30609312253564
+    - type: f1
+      value: 69.42802757893695
+  - 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
+    - type: cos_sim_spearman
+      value: 88.36526647458979
+    - type: euclidean_pearson
+      value: 86.83053354694746
+    - type: euclidean_spearman
+      value: 87.56223612880584
+    - type: manhattan_pearson
+      value: 86.59250609226758
+    - type: manhattan_spearman
+      value: 87.70681773644885
+  - 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
+    - type: cos_sim_spearman
+      value: 82.06129973984048
+    - type: euclidean_pearson
+      value: 83.65969509485801
+    - type: euclidean_spearman
+      value: 81.91666612708826
+    - type: manhattan_pearson
+      value: 83.6906794731384
+    - type: manhattan_spearman
+      value: 81.91752705367436
+  - 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
+    - type: cos_sim_spearman
+      value: 78.82992283957066
+    - type: euclidean_pearson
+      value: 83.39733473832982
+    - type: euclidean_spearman
+      value: 78.86999229850214
+    - type: manhattan_pearson
+      value: 83.39397058098533
+    - type: manhattan_spearman
+      value: 78.85397971200753
+  - 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
+    - type: cos_sim_spearman
+      value: 87.99415514558852
+    - type: euclidean_pearson
+      value: 86.98993652364359
+    - type: euclidean_spearman
+      value: 87.72725335668807
+    - type: manhattan_pearson
+      value: 86.897205761048
+    - type: manhattan_spearman
+      value: 87.65231103509018
+  - 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
+    - type: cos_sim_spearman
+      value: 83.50291886604928
+    - type: euclidean_pearson
+      value: 84.67758839660924
+    - type: euclidean_spearman
+      value: 83.4368059512681
+    - type: manhattan_pearson
+      value: 84.66027228213025
+    - type: manhattan_spearman
+      value: 83.43472054456252
+  - 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
+    - type: cos_sim_spearman
+      value: 89.00430907638267
+    - type: euclidean_pearson
+      value: 88.16290361497319
+    - type: euclidean_spearman
+      value: 88.6645154822661
+    - type: manhattan_pearson
+      value: 88.15337528825458
+    - type: manhattan_spearman
+      value: 88.66202950081507
+  - 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
+    - type: cos_sim_spearman
+      value: 86.45367112223394
+    - type: euclidean_pearson
+      value: 85.45292931769094
+    - type: euclidean_spearman
+      value: 86.06607589083283
+    - type: manhattan_pearson
+      value: 85.4111233047049
+    - type: manhattan_spearman
+      value: 86.04379654118996
+  - 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
+    - type: cos_sim_spearman
+      value: 89.5617056243649
+    - type: euclidean_pearson
+      value: 89.018495917952
+    - type: euclidean_spearman
+      value: 88.387335721179
+    - type: manhattan_pearson
+      value: 89.07568042943448
+    - type: manhattan_spearman
+      value: 88.51733863475219
+  - 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
+    - type: cos_sim_spearman
+      value: 68.15219488291783
+    - type: euclidean_pearson
+      value: 68.99169681132668
+    - type: euclidean_spearman
+      value: 68.01334641045888
+    - type: manhattan_pearson
+      value: 68.84952679202642
+    - type: manhattan_spearman
+      value: 67.85430179655137
+  - 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
+    - type: cos_sim_spearman
+      value: 87.8878986593873
+    - type: euclidean_pearson
+      value: 87.11557232168404
+    - type: euclidean_spearman
+      value: 87.40944677043365
+    - type: manhattan_pearson
+      value: 87.10395398212532
+    - type: manhattan_spearman
+      value: 87.35977283466168
+  - 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
+    - type: cos_sim_ap
+      value: 96.49316696572335
+    - type: cos_sim_f1
+      value: 92.35352532274081
+    - type: cos_sim_precision
+      value: 91.71597633136095
+    - type: cos_sim_recall
+      value: 93.0
+    - type: dot_accuracy
+      value: 99.77326732673268
+    - type: dot_ap
+      value: 93.5497681978726
+    - type: dot_f1
+      value: 88.35582208895552
+    - type: dot_precision
+      value: 88.31168831168831
+    - type: dot_recall
+      value: 88.4
+    - type: euclidean_accuracy
+      value: 99.84653465346534
+    - type: euclidean_ap
+      value: 96.36378999360083
+    - type: euclidean_f1
+      value: 92.33052944087086
+    - type: euclidean_precision
+      value: 91.38099902056807
+    - type: euclidean_recall
+      value: 93.30000000000001
+    - type: manhattan_accuracy
+      value: 99.84455445544555
+    - type: manhattan_ap
+      value: 96.36035171233175
+    - type: manhattan_f1
+      value: 92.13260761999011
+    - type: manhattan_precision
+      value: 91.1851126346719
+    - type: manhattan_recall
+      value: 93.10000000000001
+    - type: max_accuracy
+      value: 99.84752475247525
+    - type: max_ap
+      value: 96.49316696572335
+    - type: max_f1
+      value: 92.35352532274081
+  - 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
+    - type: cos_sim_ap
+      value: 77.79878217023162
+    - type: cos_sim_f1
+      value: 71.0425694621463
+    - type: cos_sim_precision
+      value: 68.71301775147928
+    - type: cos_sim_recall
+      value: 73.53562005277044
+    - type: dot_accuracy
+      value: 84.01978899684092
+    - type: dot_ap
+      value: 66.12134149171163
+    - type: dot_f1
+      value: 63.283507097098365
+    - type: dot_precision
+      value: 60.393191081275475
+    - type: dot_recall
+      value: 66.46437994722955
+    - type: euclidean_accuracy
+      value: 87.24444179531503
+    - type: euclidean_ap
+      value: 77.84821131946212
+    - type: euclidean_f1
+      value: 71.30456661215247
+    - type: euclidean_precision
+      value: 68.1413801394566
+    - type: euclidean_recall
+      value: 74.77572559366754
+    - type: manhattan_accuracy
+      value: 87.19079692436074
+    - type: manhattan_ap
+      value: 77.78054941055291
+    - type: manhattan_f1
+      value: 71.13002127393318
+    - type: manhattan_precision
+      value: 67.65055939062128
+    - type: manhattan_recall
+      value: 74.9868073878628
+    - type: max_accuracy
+      value: 87.26828396018358
+    - type: max_ap
+      value: 77.84821131946212
+    - type: max_f1
+      value: 71.30456661215247
+  - 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
+    - type: cos_sim_ap
+      value: 85.94088151184411
+    - type: cos_sim_f1
+      value: 78.25673997223645
+    - type: cos_sim_precision
+      value: 74.45433059919367
+    - type: cos_sim_recall
+      value: 82.46843239913767
+    - type: dot_accuracy
+      value: 87.91865564481701
+    - type: dot_ap
+      value: 82.75373957440969
+    - type: dot_f1
+      value: 75.97383507276201
+    - type: dot_precision
+      value: 72.67294713160854
+    - type: dot_recall
+      value: 79.5888512473052
+    - type: euclidean_accuracy
+      value: 88.8539604921023
+    - type: euclidean_ap
+      value: 85.71590936389937
+    - type: euclidean_f1
+      value: 77.82902261742242
+    - type: euclidean_precision
+      value: 74.7219270279844
+    - type: euclidean_recall
+      value: 81.20572836464429
+    - type: manhattan_accuracy
+      value: 88.78992509799356
+    - type: manhattan_ap
+      value: 85.70200619366904
+    - type: manhattan_f1
+      value: 77.85875848203065
+    - type: manhattan_precision
+      value: 72.94315506222671
+    - type: manhattan_recall
+      value: 83.48475515860795
+    - type: max_accuracy
+      value: 88.91023402025847
+    - type: max_ap
+      value: 85.94088151184411
+    - type: max_f1
+      value: 78.25673997223645
 ---
 
 # bge-large-en-v1.5-quant