Checkpoint on final step of training even when it doesn't coincide with save_freq.
#284
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What this does
^
How it was tested / how to checkout and try
I ran training with 10 offline steps (and save_freq > 10) and verified that the checkpoint was saved.
JOB_NAME=test python lerobot/scripts/train.py \ hydra.job.name=$JOB_NAME \ hydra.run.dir=outputs/train/$(date +'%Y-%m-%d/%H-%M-%S')_${JOB_NAME} \ env=pusht \ policy=diffusion \ training.save_checkpoint=true \ training.offline_steps=10 \ training.save_freq=20000 \ training.eval_freq=10000 \ training.log_freq=50 \ eval.n_episodes=50 \ eval.batch_size=50 \ wandb.enable=false \ wandb.disable_artifact=true \ device=cuda \ use_amp=true