Comments (7)
Hey @WHQCHINA
This tends to happen when you have a high learning rate, could try training with a lower running rate and check if that resolves the issue.
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Hey @WHQCHINA
This tends to happen when you have a high learning rate, could try training with a lower running rate and check if that resolves the issue.
@preddy5 The result is NAN use your way. find function training_step run failed
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@preddy5 what is the true label about train data. can you give me to your train data?
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Hey @WHQCHINA
were you able to replicate the results with the provided emoji dataset?
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Hey @WHQCHINA
were you able to replicate the results with the provided emoji dataset?
The train loss still is NAN use dataset in train. And print log in training_step function, that is print function not run.
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@WHQCHINA which version of pytorch-lightning are you using?
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@WHQCHINA which version of pytorch-lightning are you using?
version of pytorch-lightning update to 0.9.0, it's work, thanks!
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Related Issues (20)
- problems when training HOT 8
- training on real images?
- Default config (emoji.yaml) fails to converge HOT 7
- Why are there many copies in the dataset? HOT 2
- Post-decoding process HOT 3
- emoji dataset is settled to 4 parts, and every parts is filled with a constant color, does this mean im2vec can only deal with HOT 5
- Segmentation tool HOT 4
- Speeding up training and using attention HOT 1
- Chamfer distance code
- Can't install dependencies HOT 1
- Training example from README wont work
- Dependency Conflict with Pillow
- MisconfigurationException in Training Example
- pip install -r requirements.txt. ERRORS HOT 1
- About training details HOT 6
- RuntimeError: stack expects a non-empty TensorList HOT 3
- The difference between VectorVAE and VectorVAEnLayers
- No module named 'pydiffvg' HOT 1
- How to train with celeba dataset? HOT 2
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