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View Code? Open in Web Editor NEW利用预训练的中文模型实现基于bert的语义匹配模型 数据集为LCQMC官方数据
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clwdzxc1992 yuzhiw yangxg enyecao jiniaoxu artist100 qianrenjian lijing8388 morindaz paulxu1314 xmxoxo luoshizhi lichao88 askintution holasyb justinasdz lidhcs handwang 459548764 caoyuji1986 lizhzh8 jxh4945777 liangtianxin mokoing siyuanbella licko0909 yamingpeng100 jostree xuzhuojia auscenery ubear zjjhym nonva ruimao1988 flyingwaters tiffen xuedaniang connietong wanghongnan28 allensmile xrosliang yidahu xtdx alex0xf sevenmpp lx-nlp mppmys projektarbeit1 kilinye cytsinghua 446496314mbbert_textmatching's Issues
如何添加F1,P以及R的打印结果
lcqmc数据集
大佬们，有没有下载好的lcqmc数据集？
如何基于这个模型实现问答机器人？
如题，假设要做一个基于FAQ库的问答机器人，是不是要把问句对FAQ库的所有标准问一一配对进行predict预测？筛选出的结果如何排序呢？possibility能作为排序的依据吗？
直接采用这个代码后，并未使用GPU训练。
1
如何执行这个代码啊
请问如何执行train.sh文件啊
eval结果不符
我直接用train.sh里面的超参数运行，得到的结果是：
val_accuracy = 0.6800727, eval_loss = 0.69538945, global_step = 22384, loss = 0.69445246
并没有您所说的0.87207 ，请问您得到该指标是用的默认的超参数吗？还是其他超参数？谢谢！
在LCQMC数据集上，训练集的loss和accuracy是多少，有没有过拟合？
esim模型loss不下降，准确率不上升
跑了esim模型，发现loss一直不下降，准确率不上升，一直在50%上下浮动。
《千言数据集：信息抽取》比赛请教
您好！我看到您貌似参加了《千言数据集：信息抽取》比赛（ https://aistudio.baidu.com/aistudio/competition/detail/46/0/task-definition ），并且在信息抽取部分（DuIE）取得了非常好的成绩。我也在参加这部分比赛，目前尝试了一些模型，F1 值不到 0.75，并且 r 值较低。因此，我想向您请教一下，您是采用了什么模型，或者使用了什么方法取得的如此好的效果。希望得到您的指点，非常感谢！
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