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instead of implicitly letting train batch size get set to num_generations behind the scenes, make it explicit and clear for users.

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Summary of Changes

Hello @mmathew23, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates several GRPO notebooks to improve clarity and control over the training batch size. By explicitly setting the per_device_train_batch_size, the author ensures that users are aware of the batch size being used during training, rather than it being implicitly determined. The change also involves some minor metadata adjustments and code cleanup in the Colab notebooks.

Highlights

  • Explicit Batch Size: The notebooks are updated to explicitly set per_device_train_batch_size instead of relying on it being implicitly set to num_generations.
  • Batch Size Values: The per_device_train_batch_size is set to 4 in most notebooks, but set to 8 in some notebooks (Advanced_Llama3_1_(3B)GRPO_LoRA, HuggingFace Course-Advanced_Llama3_1(3B)GRPO_LoRA, and Qwen2.5(3B)-GRPO).
  • Colab Notebook Updates: Minor metadata changes and code cell source updates were made to the Colab notebooks.
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Code Review

This pull request makes a valuable improvement by explicitly setting per_device_train_batch_size to match num_generations across all GRPO notebooks and their corresponding Python scripts. This change enhances clarity for users, making the relationship between these two important hyperparameters obvious. The update has been applied consistently across a large number of files, which is great to see. I have one minor suggestion to further improve the clarity.

optim = "adamw_8bit",
logging_steps = 1,
per_device_train_batch_size = 1,
per_device_train_batch_size = 4,
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medium

To further improve clarity and prevent potential user errors, consider adding a comment to explicitly state the relationship between per_device_train_batch_size and num_generations. This will help users who might modify num_generations to also update per_device_train_batch_size accordingly.

Suggested change
per_device_train_batch_size = 4,
per_device_train_batch_size = 4, # Should match num_generations

optim = "adamw_torch_fused",
logging_steps = 1,
per_device_train_batch_size = 1,
per_device_train_batch_size = 4,
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medium

To improve clarity and prevent potential user errors, it would be beneficial to add a comment indicating that per_device_train_batch_size should match num_generations. This makes the relationship between these parameters explicit for anyone modifying the script.

Suggested change
per_device_train_batch_size = 4,
per_device_train_batch_size = 4, # Should match num_generations

optim = "paged_adamw_8bit",
logging_steps = 1,
per_device_train_batch_size = 1,
per_device_train_batch_size = 6,
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medium

To improve clarity and prevent potential user errors, it would be beneficial to add a comment indicating that per_device_train_batch_size should match num_generations. This makes the relationship between these parameters explicit for anyone modifying the script.

Suggested change
per_device_train_batch_size = 6,
per_device_train_batch_size = 6, # Should match num_generations

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