[bugfix] fix accelerator

[Jintao-Huang]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request addresses a compatibility issue with the accelerator component when used with newer versions of the transformers library. By conditionally setting a specific plugin argument, it ensures stable operation and prevents potential errors in training workflows that utilize transformers 5.0.0 or later.

Highlights

• Accelerator Fix: Implemented a conditional fix for the accelerator's gradient_state.plugin_kwargs['num_steps'] to ensure compatibility with transformers library versions 5.0.0 and above, addressing a known issue.

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Changelog

• swift/trainers/mixin.py
  • Added a conditional check for transformers version to set accelerator.gradient_state.plugin_kwargs['num_steps'].

Activity

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Code Review

This pull request introduces a workaround for a gradient accumulation issue when using torch.compile with transformers>=5.0.0. While the fix is likely correct for certain dependency versions, the version check is too broad and could cause issues in the future. I've suggested a more robust check that also considers the accelerate library version, where the original bug and its fix reside. I've also updated the comment to include a correct reference link.

[Jintao-Huang]

huggingface/transformers#43919