Comments (3)
Hi, looks like you could try upgrading your torch version to the latest version (1.13); it should not break anything.
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Hi, looks like you could try upgrading your torch version to the latest version (1.13); it should not break anything.
Thank you! I'm glad to hear from you although I failed after I did as you say.After a night and a day I finally use pip to upgrade some paggages and solve this problem.Now I meet the probelm about ReduceLROnPlateau.The hint is as follow:
raise MisconfigurationException(
lightning_lite.utilities.exceptions.MisconfigurationException: ReduceLROnPlateau conditioned on metric val_loss which is not available.
Looking forward to your reply.
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Hi,
I'm currently working my way through the project to understand its components, and I have encountered the exact same problem.
Apparently, the method which adjusts the learning rates based on the current progress is called at the end of the training step - during the first epoch, no val_loss has been produced yet (perhaps adjustments could be made to do it after the validation step or omit the scheduler calls in the first epoch). To simply get the training to run, you can modify the configurations. What worked for me was changing "monitor" to "train_loss" in model.py: BaseModule class.
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Related Issues (20)
- pytorch_lightning.utilities.exceptions.MisconfigurationException: ReduceLROnPlateau conditioned on metric val_loss HOT 2
- import error HOT 2
- OSS Error: The paging file is too small for this operation to complete. HOT 1
- Code Hanging At Start of Training
- Using your evaluation script (compute_metrics.py) HOT 1
- training project HOT 2
- A problem while training model without a property predictor HOT 1
- ModuleNotFoundError: No module named 'cdvae' HOT 2
- Successful packages to run cdvae
- Unable to run CDVAE or training script HOT 2
- expected scalar type Float but found Doubl HOT 1
- successful env.cpu.yml
- Working CDVAE implementation with Dockerfile (CUDA major versions 10, 11, 12)
- Successful environment setup HOT 5
- Property Models in cdvae/prop_models
- hydra.errors.InstantiationException: Error locating target 'cdvae.pl_data.datamodule.CrystDataModule', set env var HYDRA_FULL_ERROR=1 to see chained exception. full_key: data.datamodule
- how to visualize the generated results? HOT 19
- Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
- Public checkpoints
- Successful environment HOT 4
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