oth, so sometimes it’s useful to save regular checkpoints during the training process. One of the intermediate checkpoints might actually work better than the final model! Pass the following argument to the training script to enable saving checkpoints:


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  --checkpointing_steps=500
This saves the full training state in subfolders of your output_dir. Subfolder names begin with the prefix checkpoint-, followed by the number of steps perfo