neofung

/

m3e-ernie-xbase-zh

like 0

Evaluation results

• cos_sim_pearson on MTEB AFQMC
  validation set self-reported
  36.284
• cos_sim_spearman on MTEB AFQMC
  validation set self-reported
  37.397
• euclidean_pearson on MTEB AFQMC
  validation set self-reported
  36.407
• euclidean_spearman on MTEB AFQMC
  validation set self-reported
  37.397
• manhattan_pearson on MTEB AFQMC
  validation set self-reported
  36.308
• manhattan_spearman on MTEB AFQMC
  validation set self-reported
  37.284
• cos_sim_pearson on MTEB ATEC
  test set self-reported
  39.919
• cos_sim_spearman on MTEB ATEC
  test set self-reported
  42.164
• euclidean_pearson on MTEB ATEC
  test set self-reported
  43.244
• euclidean_spearman on MTEB ATEC
  test set self-reported
  42.164
• manhattan_pearson on MTEB ATEC
  test set self-reported
  43.231
• manhattan_spearman on MTEB ATEC
  test set self-reported
  42.157
• accuracy on MTEB AmazonReviewsClassification (zh)
  test set self-reported
  47.788
• f1 on MTEB AmazonReviewsClassification (zh)
  test set self-reported
  44.518
• cos_sim_pearson on MTEB BQ
  test set self-reported
  67.034
• cos_sim_spearman on MTEB BQ
  test set self-reported
  70.956
• euclidean_pearson on MTEB BQ
  test set self-reported
  69.356
• euclidean_spearman on MTEB BQ
  test set self-reported
  70.956
• manhattan_pearson on MTEB BQ
  test set self-reported
  69.322
• manhattan_spearman on MTEB BQ
  test set self-reported
  70.924