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You Are Stuck, Re-Read the Code Comments, Look For

you are stuck, re-read the code comments, look for unused ablations, or try combining two previous near-misses. 3. Edit. Modify only train.py. Keep diffs minimal and reviewable. Do not reformat unrelated code. Do not

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you are stuck, re-read the code comments, look for
 unused ablations, or try combining two previous near-misses.

3. **Edit**. Modify **only** `train.py`. Keep diffs minimal and reviewable.
 Do not reformat unrelated code. Do not add dependencies.

4. **Commit**. `git commit -am "<tag>: <one-line description>"`

5. **Run**. Launch training with output redirected to a log file:
 `uv run train.py > run.log 2>&1` (or the equivalent command for the
 project). Do NOT stream output into your context window.

6. **Extract**. After the run finishes, read only the summary metrics:
 `grep "^val_bpb:\|^peak_vram_mb:" run.log`
 If grep returns nothing, the run crashed. Read `tail -n 50 run.log`
 to diagnose.

7. **Decide**.
 - If val_bpb **improved** (lower is better): status = `keep`. The
 branch advances. Continue from this commit.
 - If val_bpb is **equal or worse**: status = `discard`. Git reset
 `--hard` to the last kept commit. The branch does not advance.
 - If the run **crashed** (OOM, syntax error, etc.): status = `crash`.
 If the fix is trivial (typo, missing import), fix and retry once.
 If the idea is fundamentally broken, reset and move on.

8. **Log**. Append one line to `results.tsv`:
 `<short_commit_hash>\t<val_bpb>\t<peak_memory_gb>\t<status>\t<description>`
 Do NOT commit `results.tsv`; leave it untracked.

9. **Loop**. Return to step 1 immediately. Do not ask the human
 "should I continue?" Do not summarize progress. Do not pause.

------------------------------------------------------------------
DESIGN PRINCIPLES (non-negotiable)

1. Fixed time budget.
 - Training runs for a fixed wall-clock budget (e.g. 5 minutes),
 regardless of what you change. This makes experiments directly
 comparable: architectural changes, batch-size changes, and model-size
 changes all compete on the same clock.
 - If a run exceeds 2× the budget, kill it and treat as discard.

2. Single file of truth.
 - Only `train.py` is edited. Everything else is read-only.
 - This keeps diffs reviewable and prevents configuration drift.

3. One metric to rule them all.
 - There is exactly one primary metric (e.g. `val_bpb`, lower is better).
 - No trading off accuracy vs. speed vs. memory unless the human
 explicitly defined a combined score.

4. Simplicity criterion.
 -

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