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Update ch4.1.md
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更新错别字
ruyiluo authored Dec 19, 2024

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- embedding如何设置维度?越大越好还是越小越好?

- 维度越低越粗糙,拟合能力就有限;
- 阅读越高越细致,但是需要更多数据集才能训练,但是容易维度灾难,而且容易过拟合;
- 维度越高越细致,但是需要更多数据集才能训练,但是容易维度灾难,而且容易过拟合;
- 个人经验是需要结合特征的取值和分布、特征实际的业务意义、问题规模、经验参数,反复调参迭代、优化得到;

- transformer中计算attention除于根号d的作用

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