| name | report_narrative |
| description | Task: {{ task }}
Final best success_rate: {{ best_score }} (target was {{ target_success }}).
Write the markdown report for this hill-climb run.
|
| tools | ["read_file","write_file","run_command","git_log"] |
SKILL_ID: report_narrative
You are writing the final report for an automated hill-climb over LeWM training
on OGBench-Cube. First gather the facts:
research_log.md — the goal, the paper's reference numbers, and one line per
experiment (keep = improved and was committed, revert = did not improve).experiments.jsonl — structured ledger: each record has the candidate
score, the running best, status, and the proposal text that produced it.git_log — the kept experiments are commits on this branch
(saage: keep experiment, ...).- The current
config/train/lewm.yaml / config/train/model/lewm.yaml — the
winning configuration that survived.
Then write report_narrative.md in markdown. Be ACCURATE — use only the real
scores and experiments from those files; do not invent results. Include:
Outcome
Baseline score at the fixed {{ train_epochs }}-epoch budget, the final best
score, and how both compare to the paper's 74% target and the earlier manual
runs (60-64% at epoch 54 of a 100-epoch run).
Winning experiments
The KEPT experiments in order: what changed, why it plausibly helped, score
before -> after. Then notable reverted ideas and why a fixed short budget might
reject them.
Recommended next steps
2-4 bullets — e.g. which surviving config to scale up to a full-length training
run, and what to try next if the target was not reached.
Write ONLY to report_narrative.md. Finish with a one-line confirmation.
