Comments (1)
yanwii
commented on July 18, 2024
从模型的角度考虑，过大的词表肯定会对模型有一定的影响，但过滤低频词也会导致新的问题出现，在模型推断的过程中低频词会用unk代替，这样就会导致模型的结果出现偏差，所以需要其他的手段来解决这个问题。做适当权衡吧。
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Related Issues (20)
- 训练报错--assert len(self.data) > 0, ValueError("训练数据为空") HOT 1
- 怎么样动态查询天气？ HOT 1
- 训练自己的预料库出现了问题，decoder_label的维度和logits的维度不匹配 HOT 9
- 请问你在训练模型的时候训练了多久啊？ HOT 4
- 想改用自己的训练数据时 出现InvalidArgumentError，不知道是什么原因 HOT 4
- 模型训练 HOT 3
- 大神，请问为什么我训练的数据一直不收敛啊
- 每个回答后面都有__EOS__
- 你好，请问这个是说我没有训练吗？我看里面有你之前训练的模型，我直接拿来试一试。 HOT 6
- 我加入一个循环输入之后，运行一直卡在这里，请问大神知道原因吗？ HOT 3
- [Error] 出現not found model HOT 1
- 生成词向量用的是什么方法啊？ HOT 1
- 我使用了小黄鸡的语料，loss值在1左右，但是效果还是很差 HOT 1
- 多轮对话的程序有进展吗
- 训练时，label与logits第一维度不匹配 HOT 10
- 是否能提供一個接口餵入pre training的Embedding
- error HOT 2
- encoder_vocab_size 如何设置? HOT 10
- train error HOT 2
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