File size: 2,958 Bytes
289b193 | 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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | #!/usr/bin/env python3
"""Phase 3: Evaluation on HumanEval+ and MBPP+"""
import subprocess
from pathlib import Path
# Config
CKPT_DIR = Path("./qwen3_pipeline/checkpoint")
RESULTS_DIR = Path("./qwen3_pipeline/results")
RESULTS_DIR.mkdir(parents=True, exist_ok=True)
model_path = str(CKPT_DIR / "merged")
print("="*70)
print("PHASE 3: EVALUATION")
print("="*70)
print(f"\nModel: {model_path}\n")
# Check if model exists
if not (CKPT_DIR / "merged").exists():
print(f"❌ Model not found at {model_path}")
print(f" Did Phase 2 complete successfully?")
exit(1)
# HumanEval+
print("="*70)
print("HUMANEVAL+")
print("="*70)
humaneval_log = RESULTS_DIR / "humaneval_plus.log"
cmd_humaneval = (
f'evalplus.evaluate '
f'--model "{model_path}" '
f'--dataset humaneval '
f'--backend vllm '
f'--greedy '
f'--tp 1'
)
print(f"\nRunning: {cmd_humaneval}\n")
try:
result = subprocess.run(
cmd_humaneval,
shell=True,
capture_output=True,
text=True,
timeout=1800 # 30 min timeout
)
# Save full log
with open(humaneval_log, "w") as f:
f.write(result.stdout)
f.write("\n\n=== STDERR ===\n\n")
f.write(result.stderr)
# Print key results
print("\n" + "="*70)
print("HUMANEVAL+ RESULTS")
print("="*70)
for line in result.stdout.split("\n"):
if any(k in line.lower() for k in ["pass@1", "base", "plus", "score"]):
print(line)
print(f"\nFull log: {humaneval_log}")
except subprocess.TimeoutExpired:
print("❌ HumanEval+ timed out (30 min)")
except Exception as e:
print(f"❌ HumanEval+ failed: {e}")
# MBPP+
print("\n" + "="*70)
print("MBPP+")
print("="*70)
mbpp_log = RESULTS_DIR / "mbpp_plus.log"
cmd_mbpp = (
f'evalplus.evaluate '
f'--model "{model_path}" '
f'--dataset mbpp '
f'--backend vllm '
f'--greedy '
f'--tp 1'
)
print(f"\nRunning: {cmd_mbpp}\n")
try:
result = subprocess.run(
cmd_mbpp,
shell=True,
capture_output=True,
text=True,
timeout=1800 # 30 min timeout
)
# Save full log
with open(mbpp_log, "w") as f:
f.write(result.stdout)
f.write("\n\n=== STDERR ===\n\n")
f.write(result.stderr)
# Print key results
print("\n" + "="*70)
print("MBPP+ RESULTS")
print("="*70)
for line in result.stdout.split("\n"):
if any(k in line.lower() for k in ["pass@1", "base", "plus", "score"]):
print(line)
print(f"\nFull log: {mbpp_log}")
except subprocess.TimeoutExpired:
print("❌ MBPP+ timed out (30 min)")
except Exception as e:
print(f"❌ MBPP+ failed: {e}")
# Summary
print("\n" + "="*70)
print("✓ PHASE 3 COMPLETE")
print("="*70)
print(f"\nResults saved to: {RESULTS_DIR}/")
print(f" - {humaneval_log}")
print(f" - {mbpp_log}")
print(f"\n➡️ Next: python phase4_codet.py")
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