ILKT

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2024-06-19_10-03-38

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Inter-Lingual Knowledge Transfer 4

Evaluation results

• accuracy on MTEB MassiveIntentClassification
  test set self-reported
  0.117
• accuracy on MTEB MassiveIntentClassification
  validation set self-reported
  0.118
• accuracy on MTEB MassiveScenarioClassification
  test set self-reported
  0.200
• accuracy on MTEB MassiveScenarioClassification
  validation set self-reported
  0.197
• accuracy on MTEB CBD
  test set self-reported
  0.547
• accuracy on MTEB PolEmo2.0-IN
  test set self-reported
  0.363
• accuracy on MTEB PolEmo2.0-OUT
  test set self-reported
  0.287
• accuracy on MTEB AllegroReviews
  test set self-reported
  0.263
• accuracy on MTEB PAC
  test set self-reported
  0.583
• v_measure on MTEB EightTagsClustering
  test set self-reported
  0.127
• ap on MTEB SICK-E-PL
  test set self-reported
  0.518
• ap on MTEB CDSC-E
  test set self-reported
  0.438
• ap on MTEB PSC
  test set self-reported
  0.755
• cosine_spearman on MTEB STS22
  test set self-reported
  0.128
• cosine_spearman on MTEB STSBenchmarkMultilingualSTS
  self-reported
  0.448
• cosine_spearman on MTEB STSBenchmarkMultilingualSTS
  test set self-reported
  0.440
• cosine_spearman on MTEB SICK-R-PL
  test set self-reported
  0.417
• cosine_spearman on MTEB CDSC-R
  test set self-reported
  0.621
• v_measure on MTEB PlscClusteringS2S
  test set self-reported
  0.272
• v_measure on MTEB PlscClusteringP2P
  test set self-reported
  0.331