text-similarity-model-evaluation

Evaluation of several non-personally developed pre-trained text semantic similarity models on SimCLUE ( a Chinese text semantic similarity test set ) .

Dataset

SimCLUE: https://github.com/CLUEbenchmark/SimCLUE

List of integrated datasets:

• LCQMC
• AFQMC
• OPPO Xiaobu
• PKU-Paraphrase-Bank
• Chinese-STS-B
• Chinese-MNLI
• Chinese-SNLI
• OCNLI
• CINLID

Result

model_name	f1 / auc / speed (test)	f1 / auc / speed (dev)
sentence-transformers/ distiluse-base-multilingual-cased-v2	64.7 / 71.4 / 163.85	66.6 / 74.8 / 163.70
sentence-transformers/ paraphrase-multilingual-MiniLM-L12-v2	68.2 / 76.6 / 345.99	68.7 / 78.9 / 407.74
sentence-transformers/ paraphrase-multilingual-mpnet-base-v2	67.9 / 76.9 / 145.30	68.3 / 79.2 / 145.78
symanto/ sn-xlm-roberta-base-snli-mnli-anli-xnli	70.0 / 78.0 / 148.80	70.7 / 79.6 / 145.59
DMetaSoul/ sbert-chinese-general-v2	62.6 / 92.3 / 110.68	63.7 / 92.7 / 111.24
DMetaSoul/ sbert-chinese-general-v2-distill	61.5 / 82.0 / 313.89	63.2 / 84.1 / 300.35