997261095 / bert-kbqa

基于bert的kbqa系统
148 stars 37 forks source link

我在运行test_pro.py 时,报错,缺少文件 #3

Open songsh opened 4 years ago

songsh commented 4 years ago

No such file or directory: './output/best_ner.bin', 从哪找

guangze233 commented 4 years ago

No such file or directory: './output/best_ner.bin', 从哪找

还目录是程序新建的。运行NER_main.py,会训练NER模型并保存在新建的/output目录下

997261095 commented 4 years ago

生成的,生成的模型很大啊300多M,而且是两个。我知道训练的时候有一个错误 key error 我估计是依赖的版本不同,把以前的key改了,这其实是一个小问题,自己把key打印出来看看改成什么了,就可以了

------------------ 原始邮件 ------------------ 发件人: "guangzezhu"<notifications@github.com>; 发送时间: 2020年5月10日(星期天) 下午2:29 收件人: "997261095/bert-kbqa"<bert-kbqa@noreply.github.com>; 抄送: "Subscribed"<subscribed@noreply.github.com>; 主题: Re: [997261095/bert-kbqa] 我在运行test_pro.py 时,报错,缺少文件 (#3)

No such file or directory: './output/best_ner.bin', 从哪找

还目录是程序新建的。运行NER_main.py,会训练NER模型并保存在新建的/output目录下

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.

songsh commented 4 years ago

感谢,只是跑这个best_ner.bin 花了很长时间,best_sim.bin 跑了天都没跑完

songsh commented 4 years ago

{'0': {'precision': 0.972353061642433, 'recall': 0.8919572619466949, 'f1-score': 0.9304216830579677, 'support': 425 85}, '1': {'precision': 0.7982297324481995, 'recall': 0.8659973810563073, 'f1-score': 0.8307338009002407, 'support' : 4582}, '2': {'precision': 0.8254122574131548, 'recall': 0.934903223073991, 'f1-score': 0.8767525916511101, 'suppo rt': 23611}, 'accuracy': 0.9046031252649128, 'macro avg': {'precision': 0.8653316838345958, 'recall': 0.89761928869 23311, 'f1-score': 0.8793026918697727, 'support': 70778}, 'weighted avg': {'precision': 0.9120624003772734, 'recall ': 0.9046031252649128, 'f1-score': 0.906064526974806, 'support': 70778}}

这是打印出来的ret 值, 是把micro avg 改成 weighted avg ?

Annielina commented 3 years ago

{'0': {'precision': 0.972353061642433, 'recall': 0.8919572619466949, 'f1-score': 0.9304216830579677, 'support': 425 85}, '1': {'precision': 0.7982297324481995, 'recall': 0.8659973810563073, 'f1-score': 0.8307338009002407, 'support' : 4582}, '2': {'precision': 0.8254122574131548, 'recall': 0.934903223073991, 'f1-score': 0.8767525916511101, 'suppo rt': 23611}, 'accuracy': 0.9046031252649128, 'macro avg': {'precision': 0.8653316838345958, 'recall': 0.89761928869 23311, 'f1-score': 0.8793026918697727, 'support': 70778}, 'weighted avg': {'precision': 0.9120624003772734, 'recall ': 0.9046031252649128, 'f1-score': 0.906064526974806, 'support': 70778}}

这是打印出来的ret 值, 是把micro avg 改成 weighted avg ?

您好,您训练完了吗,是不是把micro avg 改成 weighted avg

wuhq1 commented 3 years ago

No such file or directory: './output/best_ner.bin', 从哪找

还目录是程序新建的。运行NER_main.py,会训练NER模型并保存在新建的/output目录下

error: the following arguments are required: --data_dir, --vob_file, 运行NER_main.py文件出现这样的错误。怎么处理?

wangjitoan commented 2 years ago

兄弟姐妹们,有训练出来的 可以发给我吗