[Trainer / GC] Add gradient_checkpointing_kwargs in trainer and training arguments
#27068
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The documentation is not available anymore as the PR was closed or merged. |
ArthurZucker
approved these changes
Oct 25, 2023
src/transformers/training_args.py
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| gradient_checkpointing_kwargs: dict = field( | ||
| default=None, | ||
| metadata={ | ||
| "help": "Gradient checkpointing key word arguments. Will be passed to `torch.utils.checkpoint.checkpoint` through `model.gradient_checkpointing_enable`." |
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could you add why anyone would want to pass antyhing and what is supported?
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And a small small test!
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Also why does it partially fix the issue |
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It partially fixes the issue because I need huggingface/peft#1036 to be merged to fix the bug with respect to PEFT models |
EduardoPach
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to EduardoPach/transformers
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Nov 19, 2023
… training arguments (huggingface#27068) * add `gradient_checkpointing_kwargs` in trainer and training arguments * add comment * add test - currently failing * now tests pass
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What does this PR do?
Partially fixes: huggingface/trl#912
Following #27020 it is important to propagate
gradient_checkpointing_kwargsinTraineras wellcc @ArthurZucker