Related Issues (20)
- 怎么测试自己的数据 HOT 1
- 如何改繁體訓練
- 训练的准确率过低 HOT 2
- python: can't open file 'D:\Bert-Chinese-Text-Classification-Pytorch-master\run.py': [Errno 2] No such file or directory
- 字向量维度是768吗
- 请问一下,模型跑出来的结果,只有准确率 丢失率等等这些吗?具体的每个句子的用bert进行分类的标签,在哪里可以看到呀? HOT 7
- OSError: Can't load the model for 'D:\Bert-Chinese-Text-Classification-Pytorch-master\THUCNews\saved_dicert.ckpt'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'D:\Bert-Chinese-Text-Classification-Pytorch-master\THUCNews\saved_dicert.ckpt' is the correct path to a di rectory containing a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack.
- 模型准确率 HOT 1
- 已经微调好的模型调用不了怎么办?只生成一个bert.ckpt文件
- 为什么预测的结果不太准呀?而且每预测一次,得到的分类结果不一样 HOT 6
- 我加载了微调之后的权重模型bert.ckpt用他来进行短文本预测 但是每次运行文件时的预测结果都会变化且预测效果不好 应该怎么解决呀?
- 请问在调用模型预测时 出现这个报错是为什么?且预测的结果不太准,跟这个报错有关系吗
- 请问有人使用ernie在自己数据集上做训练的时候loss无法下降,准确率上不来嘛?同样的数据bert很正常
- 词表下载链接好像不太对,无法下载 HOT 4
- 能否通过调接口的方式来进行训练,每次启动都要训练好久
- 小白想问下能否用这个代码训练Roberta模型
- 求大佬解答,按照词分割,具体怎么改 HOT 1
- 词表txt文件 HOT 2
- 长文本
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from bert-chinese-text-classification-pytorch.