lixsh6

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XLM-3B5-embedding

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Evaluation results

• accuracy on MTEB AmazonCounterfactualClassification (en)
  test set self-reported
  66.940
• ap on MTEB AmazonCounterfactualClassification (en)
  test set self-reported
  28.833
• f1 on MTEB AmazonCounterfactualClassification (en)
  test set self-reported
  60.327
• accuracy on MTEB AmazonPolarityClassification
  test set self-reported
  94.697
• ap on MTEB AmazonPolarityClassification
  test set self-reported
  92.354
• f1 on MTEB AmazonPolarityClassification
  test set self-reported
  94.695
• accuracy on MTEB AmazonReviewsClassification (en)
  test set self-reported
  51.586
• f1 on MTEB AmazonReviewsClassification (en)
  test set self-reported
  49.909
• map_at_1 on MTEB ArguAna
  test set self-reported
  17.781
• map_at_10 on MTEB ArguAna
  test set self-reported
  30.854
• map_at_100 on MTEB ArguAna
  test set self-reported
  32.344
• map_at_1000 on MTEB ArguAna
  test set self-reported
  32.364
• map_at_3 on MTEB ArguAna
  test set self-reported
  25.711
• map_at_5 on MTEB ArguAna
  test set self-reported
  28.254
• mrr_at_1 on MTEB ArguAna
  test set self-reported
  18.563
• mrr_at_10 on MTEB ArguAna
  test set self-reported
  31.138
• mrr_at_100 on MTEB ArguAna
  test set self-reported
  32.621
• mrr_at_1000 on MTEB ArguAna
  test set self-reported
  32.641
• mrr_at_3 on MTEB ArguAna
  test set self-reported
  25.984
• mrr_at_5 on MTEB ArguAna
  test set self-reported
  28.530