state in subfolders of your output_dir. Subfolder names begin with the prefix checkpoint-, followed by the number of steps performed so far; for example, checkpoint-1500 would be a checkpoint saved after 1500 training steps.

Resume training from a saved checkpoint
	
If you want to resume training from any of the saved checkpoints, you can pass the argument --resume_from_checkpoint to the script and specify the name of the checkpoint you want t