Comments (3)
davkovacs
commented on June 10, 2024
This is a little weird. Is this happening on the main branch?
Does it happen when it is evaluating the validation set or the test set? Or is it literarily during the training?
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YuanbinLiu
commented on June 10, 2024
It happened during the training.
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ilyes319
commented on June 10, 2024
Could you share the log file so I can have a look. Are you using the main branch or develop? You can reduce the batch size to avoid that.
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Related Issues (20)
- How do you make mutli-GPU training? HOT 2
- a couple of weird statements in new multihead fine-tuning interface code HOT 2
- training with foudational_model HOT 12
- How to run multi-GPU with mace-lammps?
- Error reading 'extended' xyz format files HOT 6
- What are the node energies? HOT 2
- Training flag not working HOT 2
- Dipole fitting on multi-GPU
- Is 0.694 timesteps/s a normal speed?
- select pretrained configs for multihead replay with or without replacement? HOT 2
- adding cmd argument for specifying wandb directory HOT 1
- CUDA Out of Memory with GCMC
- Distributed Training: invalid device ordinal
- Missing dependancies in `multi-head-interface` HOT 1
- Stress / num_atoms in loss? HOT 3
- stress errors reported during fitting and at end should be consistent HOT 4
- during-training valid loss is wrong HOT 11
- np.random.choice for selecting pre-fit subset for multihead fine tune doesn't accept a list of Atoms
- multi-head-finetune validation batches not deterministic HOT 3
- installation
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