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94 changes: 94 additions & 0 deletions scripts/figures/frontier.py
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#!/usr/bin/env python3
"""Paper-B figure: the size-quality frontier + the subset-overstatement
pairs, from the durable verdicts (final_eval.json per run). Fetches the
small JSON files from Modal volumes; no GPU.

python scripts/figures/frontier.py --out docs/paper-assets/
"""
from __future__ import annotations

import argparse
import json
import subprocess
import tempfile
from pathlib import Path

RUNS = [
# (label, params_m, full_set_der, subset_der, volume, path)
("1.0 AdamW/r6/3ep", 300, 8.2590, 3.658, "rababa-checkpoints",
"rababa_arabic_distill_small/run-002"),
("lite Muon/6ep", 190, 5.784, 2.6495, "rababa-checkpoints",
"rababa_arabic_distill_small/run-009-layerdrop-6ep"),
("2.0 Muon/r7/3ep", 300, 4.8218, None, "rababa-checkpoints",
"rababa_arabic_distill_small/run-006-r7-muon"),
("2.1 Muon/r7/6ep", 300, 4.5701, 2.0062, "rababa-checkpoints",
"rababa_arabic_distill_small/run-007-r7-muon-6ep"),
("teacher r7", 580, 2.2864, None, "rababa-checkpoints", None),
("tiny-max (30M full levers)", 33, 73.9489, None, "rababa-checkpoints",
"rababa_arabic_distill_small/run-010-tiny-max"),
]


def fetch_eval(volume: str, path: str | None) -> dict | None:
if not path:
return None
with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
out = f.name
r = subprocess.run(
["modal", "volume", "get", volume, f"{path}/final_eval.json", out],
capture_output=True, text=True)
if r.returncode != 0:
return None
try:
return json.loads(Path(out).read_text())
except Exception:
return None


def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("--out", default="docs/paper-assets")
args = ap.parse_args()
out = Path(args.out)
out.mkdir(parents=True, exist_ok=True)

import matplotlib

matplotlib.use("Agg")
import matplotlib.pyplot as plt

# Figure 1: the frontier (params vs full-set DER)
fig, ax = plt.subplots(figsize=(6, 4))
pts = [(r[1], r[2]) for r in RUNS if r[2] is not None]
labels = [r[0] for r in RUNS if r[2] is not None]
ax.plot([p[0] for p in pts], [p[1] for p in pts], "o-")
for (x, y), lab in zip(pts, labels):
ax.annotate(lab, (x, y), fontsize=7, xytext=(4, 4),
textcoords="offset points")
ax.set_xscale("log")
ax.set_yscale("log")
ax.set_xlabel("parameters (M, log)")
ax.set_ylabel("full-set windowed DER-CE (log)")
ax.set_title("The client-tier size–quality frontier (all full-set, CI-bracketed)")
fig.tight_layout()
fig.savefig(out / "frontier.png", dpi=200)

# Figure 2: subset overstatement pairs
pairs = [(r[0], r[3], r[2]) for r in RUNS if r[3] is not None]
fig2, ax2 = plt.subplots(figsize=(6, 4))
idx = range(len(pairs))
w = 0.35
ax2.bar([i - w / 2 for i in idx], [p[1] for p in pairs], w, label="first-300 subset")
ax2.bar([i + w / 2 for i in idx], [p[2] for p in pairs], w, label="full 1,200")
ax2.set_xticks(list(idx))
ax2.set_xticklabels([p[0] for p in pairs], fontsize=7, rotation=20)
ax2.set_ylabel("DER-CE")
ax2.set_title("Subset overstatement: 2–4× inflation across five instances")
ax2.legend()
fig2.tight_layout()
fig2.savefig(out / "subset-overstatement.png", dpi=200)
print(f"wrote {out}/frontier.png and {out}/subset-overstatement.png")


if __name__ == "__main__":
main()
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