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Trainer saves the config that is given at the beginning of the training rather than the one restored after continuing a training.
Continue one of your training using python script and give a modified config.json
The trainer will use the restored config but save the modified config.
Save the config as exactly used.
No response
{ "CUDA": { "GPU": [ "" ], "available": true, "version": "11.3" }, "Packages": { "PyTorch_debug": false, "PyTorch_version": "1.11.0", "Trainer": "v0.0.12", "numpy": "1.21.6" }, "System": { "OS": "Linux", "architecture": [ "64bit", "ELF" ], "processor": "x86_64", "python": "3.9.5", "version": "#119-Ubuntu SMP Mon Mar 7 18:49:24 UTC 2022" } }
The text was updated successfully, but these errors were encountered:
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Describe the bug
Trainer saves the config that is given at the beginning of the training rather than the one restored after continuing a training.
To Reproduce
Continue one of your training using python script and give a modified config.json
The trainer will use the restored config but save the modified config.
Expected behavior
Save the config as exactly used.
Logs
No response
Environment
Additional context
No response
The text was updated successfully, but these errors were encountered: