Comments (4)
没有完整代码我也不知道哪出错了,class.txt就按我的格式放上从0开始的所有label名称,另外label和文本之间是以制表符\t分隔的,你再检查检查吧
from chinese-text-classification-pytorch.
我是以制表符分隔的,class.txt和数据文本都检查过好几遍,都和您的格式一样,实在是不知道为什么会出这个问题……您介意拨冗看看完整的代码(其实我就只修改了train dev test的文件路径)或者我的数据集和class.txt(attached here)吗,如果可以的话我能加一下联系方式来讨论吗?主要是一个论文急用fasttext分类,添麻烦了实在不好意思T T
ct-test.txt
ct-train.txt
class.txt
from chinese-text-classification-pytorch.
你的train和test里面除了分割text和label的制表符,是不是文本里面也有制表符,有的话替换成空格。
from chinese-text-classification-pytorch.
去掉制表符之后能运行了,非常感谢帮助!会在论文中把这个repository列为reference的。谢谢~
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Related Issues (20)
- Text_RCNN文本分类效果
- 使用自己的数据集出现问题 HOT 1
- FastText的n_gram_vocab HOT 1
- 一个文本要是有多个标签要怎么用这个模型呢 HOT 3
- 用模型进行预测,该怎么实现呢 HOT 1
- 如果想改成英文数据,都需要修改什么呢
- transformer HOT 2
- 可以写一个单条预测的接口嘛?
- RuntimeError: GET was unable to find an engine to execute this computation
- 是否有文本长度限制
- Bi-LSTM问题
- 是否是没有进行分词?
- 选择题如何定制输入
- 词向量训练问题
- [BUG] TextCNN训练速度很慢
- 请问为何TextCNN的一个iter为什么要十几分钟,而TextRNN就很快,一个epoch不到一分钟? HOT 1
- 网络结构中Model加载预训练词向量的疑问
- 这个仓是不是没有维护了呀?
- AttributeError: 'Config' object has no attribute 'n_gram_vocab' HOT 1
- 模型预测类 HOT 2
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