

examples/pytorch/summarization/run_summarization.py -h
Resume training from checkpoint
Another helpful option to enable is resuming training from a previous checkpoint. This will ensure you can pick up where you left off without starting over if your training gets interrupted. There are two methods to resume training from a checkpoint.
The first method uses the output_dir previous_output_dir argument to resume training from the latest checkpoint stored in output_dir. In this case, you should remove overwrite_output_dir: