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我们的实验环境 : Python 3.5 Tensorflow 1.4.0 4x Nvidia Geforce 1080Ti 对代码进行了小幅调整以便在我们的环境上运行 第一个实验测试的是Sighan2005-PKU 但是,无论BI-LSTM-CRF还是ID-CNN-CRF 每次训练完第1个迭代后,验证集、测试集都只有0.58-0.62 然后提示 'Score too low, break to save time' 退出。 同时,用同样脚本分割的语料训练 foolNLTK(https://github.com/rockyzhengwu/FoolNLTK), 几乎一样的BI-LSTM-CRF第一轮训练后验证集有0.88的F1值。 初步怀疑评测脚本有问题,验证集、测试集分数一致
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我页遇到同样问题 --但是,无论BI-LSTM-CRF还是ID-CNN-CRF 每次训练完第1个迭代后,验证集、测试集都只有0.58-0.62 然后提示 'Score too low, break to save time' 退出。
我已经确认我是python3.6+tf1.4
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我们的实验环境 : Python 3.5 Tensorflow 1.4.0 4x Nvidia Geforce 1080Ti
对代码进行了小幅调整以便在我们的环境上运行
第一个实验测试的是Sighan2005-PKU
但是,无论BI-LSTM-CRF还是ID-CNN-CRF 每次训练完第1个迭代后,验证集、测试集都只有0.58-0.62 然后提示 'Score too low, break to save time' 退出。
同时,用同样脚本分割的语料训练 foolNLTK(https://github.com/rockyzhengwu/FoolNLTK), 几乎一样的BI-LSTM-CRF第一轮训练后验证集有0.88的F1值。
初步怀疑评测脚本有问题,验证集、测试集分数一致
The text was updated successfully, but these errors were encountered: