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4.69 kB
| """Hero chart for the model card: accuracy vs mean output tokens, base Dory vs Dory-Beam-4B at 1/2/4 loops. | |
| python3 scripts/make_chart.py # -> release/model/assets/accuracy_vs_tokens.png | |
| Emphasis form: Dory-Beam in the accent hue, base Dory in the de-emphasis gray. One panel per benchmark. | |
| """ | |
| import json | |
| from collections import defaultdict | |
| from pathlib import Path | |
| import matplotlib | |
| matplotlib.use("Agg") | |
| import matplotlib.pyplot as plt # noqa: E402 | |
| from matplotlib.ticker import FuncFormatter # noqa: E402 | |
| ROOT = Path(__file__).resolve().parent.parent | |
| RES = ROOT / "data" / "eval" / "results" | |
| OUT = ROOT / "release" / "model" / "assets" / "accuracy_vs_tokens.png" | |
| SURFACE, INK, INK2, MUTED, GRID, AXIS = "#fcfcfb", "#0b0b0b", "#52514e", "#898781", "#e1e0d9", "#c3c2b7" | |
| ACCENT, BASE = "#2a78d6", "#898781" | |
| BENCHES = [("gpqa", "GPQA-Diamond"), ("math500", "MATH-500"), ("aime24", "AIME 2024"), | |
| ("aime25", "AIME 2025"), ("amc23", "AMC 2023"), ("heldout", "Held-out (300)")] | |
| LOOPS = (1, 2, 4) | |
| SERIES = [("base", "Dory1.0-4B (base)", BASE), ("mix050", "Dory-Beam-4B", ACCENT)] | |
| def load(tag): | |
| d = defaultdict(list) | |
| for line in open(RES / f"{tag}.jsonl"): | |
| r = json.loads(line) | |
| d[r["bench"]].append(r) | |
| return {b: (100 * sum(x["correct"] for x in rs) / len(rs), sum(x["tokens"] for x in rs) / len(rs)) | |
| for b, rs in d.items()} | |
| def main(): | |
| data = {(s, l): load(f"{s}_loops{l}-64k") for s, _, _ in SERIES for l in LOOPS} | |
| plt.rcParams.update({"font.family": ["Helvetica Neue", "Helvetica", "Arial", "DejaVu Sans"], | |
| "font.size": 10, "axes.edgecolor": AXIS, "axes.labelcolor": INK2, | |
| "xtick.color": MUTED, "ytick.color": MUTED, "text.color": INK}) | |
| fig, axes = plt.subplots(2, 3, figsize=(12, 7.2), facecolor=SURFACE) | |
| fig.subplots_adjust(left=0.06, right=0.985, top=0.775, bottom=0.08, wspace=0.22, hspace=0.42) | |
| for ax, (bench, title) in zip(axes.flat, BENCHES): | |
| ax.set_facecolor(SURFACE) | |
| for side in ("top", "right"): | |
| ax.spines[side].set_visible(False) | |
| for side in ("left", "bottom"): | |
| ax.spines[side].set_linewidth(1) | |
| ax.grid(True, color=GRID, linewidth=1, zorder=0) | |
| ax.tick_params(length=0, pad=4) | |
| accs, toks = [], [] | |
| for s, label, color in SERIES: | |
| pts = [data[(s, l)][bench] for l in LOOPS] | |
| ys, xs = [p[0] for p in pts], [p[1] / 1000 for p in pts] | |
| accs += ys | |
| toks += xs | |
| ax.plot(xs, ys, color=color, linewidth=2, solid_capstyle="round", solid_joinstyle="round", zorder=3) | |
| ax.plot(xs, ys, "o", color=color, markersize=8, markeredgecolor=SURFACE, markeredgewidth=2, zorder=4, | |
| label=label) | |
| leftmost = min(range(len(xs)), key=lambda i: xs[i]) | |
| for i, (l, x, y) in enumerate(zip(LOOPS, xs, ys)): # loop count beside each point, in muted ink | |
| # the leftmost point's label goes on its left so near-coincident points don't collide | |
| left = i == leftmost | |
| ax.annotate(str(l), (x, y), xytext=(-7 if left else 7, -3), textcoords="offset points", | |
| fontsize=8.5, color=MUTED, ha="right" if left else "left") | |
| lo, hi = min(accs), max(accs) | |
| pad = max(2.0, (hi - lo) * 0.18) | |
| ax.set_ylim(max(0, lo - pad), min(100.8, hi + pad)) | |
| ax.set_xlim(0, max(toks) * 1.12) | |
| ax.xaxis.set_major_formatter(FuncFormatter(lambda v, _: "0" if v == 0 else f"{v:g}k")) | |
| ax.yaxis.set_major_formatter(FuncFormatter(lambda v, _: f"{v:g}%")) | |
| ax.set_title(title, loc="left", fontsize=11.5, fontweight="semibold", color=INK, pad=8) | |
| for ax in axes[1]: | |
| ax.set_xlabel("mean output tokens per answer", fontsize=9.5, color=INK2) | |
| for ax in axes[:, 0]: | |
| ax.set_ylabel("accuracy", fontsize=9.5, color=INK2) | |
| fig.text(0.06, 0.945, "Beam-distilled Dory: less than half the thinking, at a small accuracy cost", | |
| fontsize=17, fontweight="semibold", color=INK) | |
| fig.text(0.06, 0.905, "Accuracy vs mean output tokens. Numbers beside each point are the loop count (1, 2, 4). " | |
| "vLLM, temperature 1.0, up to 64k tokens.", fontsize=10.5, color=INK2) | |
| handles, labels = axes[0, 0].get_legend_handles_labels() | |
| fig.legend(handles, labels, loc="upper left", bbox_to_anchor=(0.053, 0.893), ncol=2, frameon=False, | |
| fontsize=10.5, handletextpad=0.4, columnspacing=1.6) | |
| OUT.parent.mkdir(parents=True, exist_ok=True) | |
| fig.savefig(OUT, dpi=200, facecolor=SURFACE) | |
| print("wrote", OUT) | |
| if __name__ == "__main__": | |
| main() | |