Comments (3)
TaoRuijie
commented on August 19, 2024
AAMsoftmax的acc不能这么看，请看一下AAMsoftmax的原离和公式，看loss就好了
fc + crossentropy acc会很快 正常
出众不是看分类的training acc的 建议细细看下各个共识的原理和区别“
https://www.bilibili.com/video/BV1tQ4y1i7BR/
在网络外加，类别数不应该影响模型的embedding shape
训练吗？这。。难回答，但你不应该太关注training acc... training loss重要...
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YovRen
commented on August 19, 2024
我去看了一遍视频，理解了acc的问题，但是收敛很慢的问题要怎么解决啊，没思路o(╥﹏╥)o
- 设置batch_size=4, lr=0.0001的话是下面的结果
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TaoRuijie
commented on August 19, 2024
这。。我无法解决啊 不好意思
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Related Issues (20)
- 数据集如何下载 HOT 1
- save model HOT 2
- Pretrained Model HOT 2
- about using pretrain model to continue training on the other data HOT 1
- data augmentation HOT 7
- 关于MSE可以提升结果 HOT 1
- Misalignment of "model.py" code with the original paper: layer 2 should only take the output of layer 1 as input, and layer 3 should only take the output of layer 2 as input HOT 1
- Hello, could you please share the code about AS norm? Thank you
- 关于数据集prepare部分的问题 HOT 1
- 关于代码中data08/下的数据 HOT 1
- dataLoader HOT 9
- data08文件夹 HOT 5
- 关于musan数据集的问题 HOT 4
- model. files HOT 6
- 利用率
- questions about res2net in model.py HOT 2
- 关于正确率 HOT 2
- 想请教关于batchsize对结果的影响 HOT 11
- 关于训练gpu占用率低 HOT 2
- test
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