# Evidence: A compiled train and evaluation step

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

## Evidence required

Keep pre/post parameter snapshots around evaluation, optimizer step count 80, independent held-out loss and accuracy, complete replay comparison, and a deliberately bad held-out update on an isolated clone.

- Command: `python3 phases/05-networks/03-a-compiled-train-and-evaluation-step/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