quark-llm-embedding-1.5B

Chinese Text Embedding Model developed by Alibaba Quark-LLM Team. Details will be published later.

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Evaluation results

cosine_pearson on MTEB AFQMC
validation set self-reported

47.143
cosine_spearman on MTEB AFQMC
validation set self-reported

48.161
manhattan_pearson on MTEB AFQMC
validation set self-reported

46.853
manhattan_spearman on MTEB AFQMC
validation set self-reported

48.077
euclidean_pearson on MTEB AFQMC
validation set self-reported

46.935
euclidean_spearman on MTEB AFQMC
validation set self-reported

48.161
main_score on MTEB AFQMC
validation set self-reported

48.161
cosine_pearson on MTEB ATEC
test set self-reported

53.317
cosine_spearman on MTEB ATEC
test set self-reported

50.821
manhattan_pearson on MTEB ATEC
test set self-reported

55.630
manhattan_spearman on MTEB ATEC
test set self-reported

50.809
euclidean_pearson on MTEB ATEC
test set self-reported

55.631
euclidean_spearman on MTEB ATEC
test set self-reported

50.821
main_score on MTEB ATEC
test set self-reported

50.821
accuracy on MTEB AmazonReviewsClassification (zh)
test set self-reported

51.938
accuracy_stderr on MTEB AmazonReviewsClassification (zh)
test set self-reported

1.623
f1 on MTEB AmazonReviewsClassification (zh)
test set self-reported

49.365
f1_stderr on MTEB AmazonReviewsClassification (zh)
test set self-reported

2.402
main_score on MTEB AmazonReviewsClassification (zh)
test set self-reported

51.938
accuracy on MTEB AmazonReviewsClassification (zh)
validation set self-reported

50.758