Update README.md

README.md

@@ -18,6 +18,409 @@ tags:
 - sentence-transformers
 - feature-extraction
 - sentence-similarity
+model-index:
+- name: e5-large-en-ru
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 79.5671641791045
+    - type: ap
+      value: 44.011060753169424
+    - type: f1
+      value: 73.76504135120175
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 57.69669466706412
+    - type: mrr
+      value: 70.61370531592138
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.36465960226795
+    - type: cos_sim_spearman
+      value: 84.57602350761223
+    - type: euclidean_pearson
+      value: 84.31391364490506
+    - type: euclidean_spearman
+      value: 84.57602350761223
+    - type: manhattan_pearson
+      value: 84.15796224236456
+    - type: manhattan_spearman
+      value: 84.3645729064343
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.105698873583098
+    - type: mrr
+      value: 32.163780846856206
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.75973907678062
+    - type: cos_sim_spearman
+      value: 80.54994608351296
+    - type: euclidean_pearson
+      value: 80.58496551316748
+    - type: euclidean_spearman
+      value: 80.54993996457814
+    - type: manhattan_pearson
+      value: 80.49280884070782
+    - type: manhattan_spearman
+      value: 80.41230093993471
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.345503928209
+    - type: cos_sim_spearman
+      value: 80.4634619001261
+    - type: euclidean_pearson
+      value: 84.2666575030677
+    - type: euclidean_spearman
+      value: 80.46347579495351
+    - type: manhattan_pearson
+      value: 84.14370038922885
+    - type: manhattan_spearman
+      value: 80.36565043629274
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.14644787456163
+    - type: cos_sim_spearman
+      value: 75.88443166051762
+    - type: euclidean_pearson
+      value: 76.19117255044588
+    - type: euclidean_spearman
+      value: 75.88443166051762
+    - type: manhattan_pearson
+      value: 76.00450128624708
+    - type: manhattan_spearman
+      value: 75.69943934692938
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.60763524019471
+    - type: cos_sim_spearman
+      value: 77.2591077818027
+    - type: euclidean_pearson
+      value: 77.14021401348042
+    - type: euclidean_spearman
+      value: 77.25911027186999
+    - type: manhattan_pearson
+      value: 76.87139081109731
+    - type: manhattan_spearman
+      value: 76.98379627773018
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.18321035966198
+    - type: cos_sim_spearman
+      value: 89.0469892725742
+    - type: euclidean_pearson
+      value: 88.05085809092137
+    - type: euclidean_spearman
+      value: 89.04698194601134
+    - type: manhattan_pearson
+      value: 88.03620967628684
+    - type: manhattan_spearman
+      value: 89.02859425307943
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.39166503459249
+    - type: cos_sim_spearman
+      value: 83.71826060604693
+    - type: euclidean_pearson
+      value: 82.70145770530107
+    - type: euclidean_spearman
+      value: 83.71826045549452
+    - type: manhattan_pearson
+      value: 82.56870669205291
+    - type: manhattan_spearman
+      value: 83.55353737670136
+  - 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: 89.58290721169323
+    - type: cos_sim_spearman
+      value: 89.25956993522081
+    - type: euclidean_pearson
+      value: 89.4716703635447
+    - type: euclidean_spearman
+      value: 89.25956993522081
+    - type: manhattan_pearson
+      value: 89.4475864648432
+    - type: manhattan_spearman
+      value: 89.14694174575615
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 81.4879065181404
+    - type: mrr
+      value: 94.81295937178291
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.73960396039604
+    - type: cos_sim_ap
+      value: 92.70840767967965
+    - type: cos_sim_f1
+      value: 86.90890990542557
+    - type: cos_sim_precision
+      value: 86.5213082259663
+    - type: cos_sim_recall
+      value: 87.3
+    - type: dot_accuracy
+      value: 99.73960396039604
+    - type: dot_ap
+      value: 92.70828452993575
+    - type: dot_f1
+      value: 86.90890990542557
+    - type: dot_precision
+      value: 86.5213082259663
+    - type: dot_recall
+      value: 87.3
+    - type: euclidean_accuracy
+      value: 99.73960396039604
+    - type: euclidean_ap
+      value: 92.7084093403562
+    - type: euclidean_f1
+      value: 86.90890990542557
+    - type: euclidean_precision
+      value: 86.5213082259663
+    - type: euclidean_recall
+      value: 87.3
+    - type: manhattan_accuracy
+      value: 99.74059405940594
+    - type: manhattan_ap
+      value: 92.7406819850299
+    - type: manhattan_f1
+      value: 87.01234567901234
+    - type: manhattan_precision
+      value: 85.95121951219512
+    - type: manhattan_recall
+      value: 88.1
+    - type: max_accuracy
+      value: 99.74059405940594
+    - type: max_ap
+      value: 92.7406819850299
+    - type: max_f1
+      value: 87.01234567901234
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 48.566931484512196
+    - type: mrr
+      value: 49.23111100500807
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 86.27287357692079
+    - type: cos_sim_ap
+      value: 74.20855854505362
+    - type: cos_sim_f1
+      value: 69.09903201787044
+    - type: cos_sim_precision
+      value: 65.22961574507966
+    - type: cos_sim_recall
+      value: 73.45646437994723
+    - type: dot_accuracy
+      value: 86.27287357692079
+    - type: dot_ap
+      value: 74.20853189774614
+    - type: dot_f1
+      value: 69.09903201787044
+    - type: dot_precision
+      value: 65.22961574507966
+    - type: dot_recall
+      value: 73.45646437994723
+    - type: euclidean_accuracy
+      value: 86.27287357692079
+    - type: euclidean_ap
+      value: 74.20857455896677
+    - type: euclidean_f1
+      value: 69.09903201787044
+    - type: euclidean_precision
+      value: 65.22961574507966
+    - type: euclidean_recall
+      value: 73.45646437994723
+    - type: manhattan_accuracy
+      value: 86.2192287059665
+    - type: manhattan_ap
+      value: 74.0513280969461
+    - type: manhattan_f1
+      value: 69.13344473621389
+    - type: manhattan_precision
+      value: 63.12118570183086
+    - type: manhattan_recall
+      value: 76.41160949868075
+    - type: max_accuracy
+      value: 86.27287357692079
+    - type: max_ap
+      value: 74.20857455896677
+    - type: max_f1
+      value: 69.13344473621389
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.16055419722902
+    - type: cos_sim_ap
+      value: 86.03614264194854
+    - type: cos_sim_f1
+      value: 78.89855695205357
+    - type: cos_sim_precision
+      value: 73.74656938215409
+    - type: cos_sim_recall
+      value: 84.82445334154605
+    - type: dot_accuracy
+      value: 89.16055419722902
+    - type: dot_ap
+      value: 86.03614225282097
+    - type: dot_f1
+      value: 78.89855695205357
+    - type: dot_precision
+      value: 73.74656938215409
+    - type: dot_recall
+      value: 84.82445334154605
+    - type: euclidean_accuracy
+      value: 89.16055419722902
+    - type: euclidean_ap
+      value: 86.0361548355667
+    - type: euclidean_f1
+      value: 78.89855695205357
+    - type: euclidean_precision
+      value: 73.74656938215409
+    - type: euclidean_recall
+      value: 84.82445334154605
+    - type: manhattan_accuracy
+      value: 89.11786393448985
+    - type: manhattan_ap
+      value: 86.00799361972808
+    - type: manhattan_f1
+      value: 78.84721152788472
+    - type: manhattan_precision
+      value: 75.26776338816941
+    - type: manhattan_recall
+      value: 82.78410840776101
+    - type: max_accuracy
+      value: 89.16055419722902
+    - type: max_ap
+      value: 86.0361548355667
+    - type: max_f1
+      value: 78.89855695205357
 ---
 
 # E5-large-en-ru