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**Original article:** Rafael Müller, Simon Kornblith, and Geoffrey E. Hinton. "When does label smoothing help?." Advances in neural information processing systems 32 (2019). (https://arxiv.org/pdf/190…
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使用paddle2.6
最新的paddlecls2.5.2分支
训练NUS-WIDE-SCENE数据集;
报错:
File "/home/jmt/Knowledge_is_Power/images_classifion/PaddleClas-release-2.5.2/tools/train.py", line 36, in
engine.train()
File "…
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저는 이번 대회에 loss에 대해 적용습니다.
결론은 전처리 조금(entity marker punct + 한글 ner + 특수문자 보정 및 사우디 등의 언어 삭제)에 3 epoch 시, focal loss 사용 했을 경우에 성능 증가!
But! 전처리 기법 3가지 다 적용 & epoch 3 했을 시, focal loss나 label smooth lo…
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https://angus1996.github.io/2019/12/26/LabelSmoothing%E4%BB%8B%E7%BB%8D/
LabelSmoothing介绍背景在多分类训练任务中,输入图片经过神级网络的计算,会得到当前输入图片对应于各个类别的置信度分数,这些分数会被softmax进行归一化处理,最终得到当前输入图片属于每个类别的概率。
对于分类问题,尤其是多类别
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The current LabelSmooting in icefall (see below)
https://github.com/k2-fsa/icefall/blob/810b193dcc3ad3f7a65bc3def63493711c9a084e/egs/librispeech/ASR/conformer_ctc/transformer.py#L797
is based on E…
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Training a toy example on DDP mode with the composer runtime while using both using `torch.compile` through `Trainer.compile_config={}` and `BlurPool` algorithm raises a dynamo error.
** To reprodu…
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Hi,我们目前正在用paddle做一些测试,请问可以提供单卡收敛的参数设置参考吗?我们在测试的时候发现在中途30几个epoch的时候会出现梯度爆炸的情况,loss变大
我们需要测试如下网络:resnet50,数据集: imagenet,epoch=90,mixup=false,单卡
谢谢 :)
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This library [mosaic](https://github.com/mosaicml/composer) has neat tricks for optimizing the models for faster training.
Each application is done as a single line to the model
```python
import c…