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lawlite19 avatar lawlite19 commented on June 14, 2024
  1. loss固定在margin大小说明embeddings聚在了一点，没有区分开，尝试降低learning rate 试试；
  2. 另外如果类别很多（这里手写数字之后10个类别应该无碍），输入数据需要进行采样，查看这里

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xiaomingdaren123 avatar xiaomingdaren123 commented on June 14, 2024

default
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dinstance
首先，感谢您的回答
第一张图是我的网络结构，网络结构并不复杂，是一个7分类的问题，学习率已经设置为0.0001，采用Adam优化，但是还是会出现图二的训练情况，我将网络的最后一层求出的distance距离输出看了一下，发现acc等于0的时候我的dis矩阵所有元素基本都开始接近于0了,不知道是什么原因造成的？

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sugar2019 avatar sugar2019 commented on June 14, 2024

@xiaomingdaren123 请问您的问题解决了吗？我的batch_hard也遇到了相同的问题，修改网络权重初始值和调节学习率都没有效果。结果自己重新训练的时候就出现了只有第一个step的loss有值，后面就全部都是inf了。

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