File size: 2,235 Bytes
f227f52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | #!/usr/bin/env python3
"""Render the admitted reward and pass@8 history for preserved RL runs."""
import argparse
from pathlib import Path
import matplotlib.pyplot as plt
import pandas as pd
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("metrics", type=Path)
parser.add_argument("output_dir", type=Path)
parser.add_argument("--title", required=True)
args = parser.parse_args()
metrics = pd.read_csv(args.metrics)
surface = metrics[["global_step", "reward/avg_raw_reward", "reward/avg_pass_at_8"]].rename(
columns={
"global_step": "step",
"reward/avg_raw_reward": "reward",
"reward/avg_pass_at_8": "pass_at_8",
}
)
args.output_dir.mkdir(parents=True, exist_ok=True)
surface.to_csv(args.output_dir / "reward-pass8.csv", index=False)
plt.rcParams.update({"font.size": 11, "axes.titleweight": "semibold"})
figure, axis = plt.subplots(figsize=(8.2, 4.8), constrained_layout=True)
axis.plot(surface["step"], surface["reward"], color="#1261a0", marker="o", linewidth=2.2, label="Admitted reward")
axis.plot(
surface["step"],
surface["pass_at_8"],
color="#a34a28",
marker="s",
linestyle="--",
linewidth=2.0,
label="Pass@8",
)
for row in surface.itertuples(index=False):
axis.annotate(f"{row.reward:.3f}", (row.step, row.reward), xytext=(0, -18), textcoords="offset points", ha="center")
axis.set_title(args.title, loc="left")
axis.set_xlabel("Optimizer step")
axis.set_ylabel("Score")
axis.set_xticks(surface["step"].astype(int))
axis.set_ylim(0, 1.08)
axis.grid(axis="y", color="#d9dee5", linewidth=0.8)
axis.spines[["top", "right"]].set_visible(False)
axis.legend(loc="lower left", frameon=False, ncols=2)
axis.text(
1.0,
-0.18,
"Pass@8 is 1.0 at all three admitted steps.",
transform=axis.transAxes,
ha="right",
color="#4a5568",
fontsize=9,
)
figure.savefig(args.output_dir / "reward-pass8.png", dpi=180)
figure.savefig(args.output_dir / "reward-pass8.svg")
plt.close(figure)
if __name__ == "__main__":
main()
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