penupup/quora-distilbert-multilingual-lcqmc-sfa-hr
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初始化项目，由ModelHub XC社区提供模型

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Model: penupup/quora-distilbert-multilingual-lcqmc-sfa-hr
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2026-10-30 15:34:26 +08:00
commit 71ac415932
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eval/paraphrase_mining_evaluation_dev_results.csv Normal file
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epoch,steps,precision,recall,f1,threshold,average_precision
0,-1,0.75,0.782608695652174,0.7659574468085107,0.6891095638275146,0.8511633247736914
1,-1,0.75,0.782608695652174,0.7659574468085107,0.6892007291316986,0.8519761582917561
2,-1,0.7169811320754716,0.8260869565217391,0.7676767676767677,0.6746405065059662,0.8542282560706022
3,-1,0.7307692307692307,0.8260869565217391,0.7755102040816326,0.6784110069274902,0.8549322775769588
4,-1,0.7450980392156863,0.8260869565217391,0.7835051546391751,0.6823960542678833,0.8602577048007353
5,-1,0.7450980392156863,0.8260869565217391,0.7835051546391751,0.6858071982860565,0.8626706695445898
6,-1,0.7755102040816326,0.8260869565217391,0.8,0.6894395351409912,0.8660932270312294
7,-1,0.7755102040816326,0.8260869565217391,0.8,0.6926160752773285,0.8709205803147197
8,-1,0.7755102040816326,0.8260869565217391,0.8,0.6937445104122162,0.8738625742443796
9,-1,0.7755102040816326,0.8260869565217391,0.8,0.6962351202964783,0.8795979004114125
1 epoch steps precision recall f1 threshold average_precision
2 0 -1 0.75 0.782608695652174 0.7659574468085107 0.6891095638275146 0.8511633247736914
3 1 -1 0.75 0.782608695652174 0.7659574468085107 0.6892007291316986 0.8519761582917561
4 2 -1 0.7169811320754716 0.8260869565217391 0.7676767676767677 0.6746405065059662 0.8542282560706022
5 3 -1 0.7307692307692307 0.8260869565217391 0.7755102040816326 0.6784110069274902 0.8549322775769588
6 4 -1 0.7450980392156863 0.8260869565217391 0.7835051546391751 0.6823960542678833 0.8602577048007353
7 5 -1 0.7450980392156863 0.8260869565217391 0.7835051546391751 0.6858071982860565 0.8626706695445898
8 6 -1 0.7755102040816326 0.8260869565217391 0.8 0.6894395351409912 0.8660932270312294
9 7 -1 0.7755102040816326 0.8260869565217391 0.8 0.6926160752773285 0.8709205803147197
10 8 -1 0.7755102040816326 0.8260869565217391 0.8 0.6937445104122162 0.8738625742443796
11 9 -1 0.7755102040816326 0.8260869565217391 0.8 0.6962351202964783 0.8795979004114125