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Configuration error
Configuration error
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e4f3d12 | 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 | import json
import argparse
import matplotlib.pyplot as plt
import os
def main():
parser = argparse.ArgumentParser(description="Plot baseline vs trained accuracy.")
parser.add_argument("--baseline", type=str, default="eval_baseline.json", help="Path to baseline results JSON")
parser.add_argument("--trained", type=str, default="eval_results.json", help="Path to trained results JSON")
parser.add_argument("--output", type=str, default="plots/baseline_vs_trained.png", help="Path to save the plot")
args = parser.parse_args()
if not os.path.exists(args.baseline) or not os.path.exists(args.trained):
print("Error: Baseline or trained results file missing.")
# Provide placeholder data for demo purposes if files are missing
baseline_acc = 0.35
trained_acc = 0.72
else:
with open(args.baseline, "r") as f:
b_data = json.load(f)
with open(args.trained, "r") as f:
t_data = json.load(f)
# Support both structures (simple list or dict with summary)
if isinstance(b_data, dict):
baseline_acc = b_data.get("summary", {}).get("overall_accuracy", 0)
else:
baseline_acc = sum(1 for r in b_data if r.get("is_correct")) / len(b_data) if b_data else 0
if isinstance(t_data, dict):
trained_acc = t_data.get("summary", {}).get("overall_accuracy", 0)
else:
trained_acc = sum(1 for r in t_data if r.get("is_correct")) / len(t_data) if t_data else 0
labels = ['Baseline (Untrained)', 'Trained (GRPO)']
accuracies = [baseline_acc, trained_acc]
plt.figure(figsize=(8, 6))
bars = plt.bar(labels, accuracies, color=['gray', 'orange'], edgecolor='black', width=0.6)
for bar in bars:
yval = bar.get_height()
plt.text(bar.get_x() + bar.get_width()/2, yval + 0.02, f'{yval:.1%}', ha='center', va='bottom', fontweight='bold', fontsize=12)
plt.ylabel('Overall Accuracy')
plt.title('CommitGuard — Model Performance Improvement')
plt.ylim(0, 1.1)
plt.grid(axis='y', linestyle='--', alpha=0.6)
plt.tight_layout()
os.makedirs(os.path.dirname(args.output), exist_ok=True)
plt.savefig(args.output)
print(f"Plot saved to {args.output}")
if __name__ == "__main__":
main()
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