# Evidence: Save model, optimizer, and random state

Copy this template into your own portfolio and fill it after running your modified exercise.

## Evidence required

Keep Orbax save/wait/restore commands, snapshot step, Adam count/moments, exact PRNG words, numerical next-update replay and the parameter-only restart counterexample.

- Command: `python3 phases/06-recovery/03-save-model-optimizer-and-random-state/code/main.py`
- Working directory: repository root
- Python / JAX / NumPy versions: 
- Hardware and device: 
- My prediction before running: 
- My change to the exercise: 
- Exit code and meaningful output: 
- Why the result supports or contradicts my prediction: 
- Checkpoint result: 
- Artifact link or saved filename: 
- Portfolio status: saved in local workspace