Comments (5)
ejld
commented on September 24, 2024
修改为中文数据源，标签总共两类，每一个类别的数据样本条数是1000
格式类似 character1空格character2空格character3\tlabel
看最终看eval_result.txt文件准确率一直是0.5
但跟了下代码，输入与预期是相同，不知道为什么一直是0.5，有遇到类似的问题吗
中文数据需要用BERT chinese/multilingual
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LinkToPast1990
commented on September 24, 2024
除了楼上所说，还要修改学习率，如1e－6
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34127chi
commented on September 24, 2024
修改为中文数据源，标签总共两类，每一个类别的数据样本条数是1000
格式类似 character1空格character2空格character3\tlabel
看最终看eval_result.txt文件准确率一直是0.5
但跟了下代码，输入与预期是相同，不知道为什么一直是0.5，有遇到类似的问题吗中文数据需要用BERT chinese/multilingual
这个之前就已经改过了 确实是学习率的问题 感谢🙏
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34127chi
commented on September 24, 2024
除了楼上所说，还要修改学习率，如1e－6
对 确实就是学习率 太大了 感谢感谢🙏
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chenbaicheng
commented on September 24, 2024
@34127chi 学习率在哪里调的 依据是什么 ?
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Related Issues (20)
- 关于预处理的问题 HOT 3
- 关于预测准确率 HOT 29
- issues about new data which 7 classification HOT 8
- 怎么使用GPU模式的 HOT 7
- 保存训练过程dev set准确率
- do_eval的问题 HOT 1
- 中文乱码 HOT 1
- 请问， 哪里可以看到损失函数？
- max_seq_length的最大值不超过512
- 验证的精度，只有0.1,为什么？ HOT 4
- 用模型预测最终生成的文件问题 HOT 4
- mrpc的训练数据在哪里下载
- emmm 这里的classification 好像不止改了一点点
- 能导出环境配置文件？跑了你的项目报错了
- eval_drop_remainder = True if FLAGS.use_tpu else Falsed HOT 2
- 关于多文本分类任务 HOT 1
- Tokens difference between bert project and yours. Is run_classifier.py the only changed file? HOT 2
- 问题 HOT 5
- 关于显卡显存 HOT 1
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