| Evaluation Results for model: llama3.1:8b-instruct-fp16 |
| Timestamp: 20240912_185437 |
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| Average Scores: |
| bleu: 0.0072 |
| rouge-1: 0.1196 |
| rouge-2: 0.0169 |
| rouge-l: 0.1151 |
| cosine_similarity: 0.3029 |
| structural_similarity: 0.2416 |
| information_retrieval: 0.4450 |
| code_consistency: 0.0796 |
| readability: 0.3790 |
| weighted_score: 0.2443 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0146 |
| ROUGE-1: 0.1632 |
| ROUGE-2: 0.0305 |
| ROUGE-L: 0.1632 |
| Cosine Similarity: 0.4184 |
| Structural Similarity: 0.1447 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0192 |
| Readability: 0.3331 |
| Weighted Score: 0.1802 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0232 |
| ROUGE-1: 0.2133 |
| ROUGE-2: 0.0388 |
| ROUGE-L: 0.2027 |
| Cosine Similarity: 0.4974 |
| Structural Similarity: 0.4706 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0739 |
| Readability: 0.3158 |
| Weighted Score: 0.2723 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.0700 |
| ROUGE-2: 0.0113 |
| ROUGE-L: 0.0682 |
| Cosine Similarity: 0.2800 |
| Structural Similarity: 0.2143 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0722 |
| Readability: 0.4870 |
| Weighted Score: 0.2463 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0089 |
| ROUGE-1: 0.0771 |
| ROUGE-2: 0.0057 |
| ROUGE-L: 0.0771 |
| Cosine Similarity: 0.0722 |
| Structural Similarity: 0.2000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.2222 |
| Readability: 0.6725 |
| Weighted Score: 0.3724 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1013 |
| ROUGE-2: 0.0243 |
| ROUGE-L: 0.0949 |
| Cosine Similarity: 0.1715 |
| Structural Similarity: 0.1154 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.1481 |
| Readability: 0.4495 |
| Weighted Score: 0.2356 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0064 |
| ROUGE-1: 0.1545 |
| ROUGE-2: 0.0220 |
| ROUGE-L: 0.1491 |
| Cosine Similarity: 0.3328 |
| Structural Similarity: 0.1786 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0779 |
| Readability: 0.2945 |
| Weighted Score: 0.2172 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0154 |
| ROUGE-1: 0.1783 |
| ROUGE-2: 0.0307 |
| ROUGE-L: 0.1700 |
| Cosine Similarity: 0.4092 |
| Structural Similarity: 0.2069 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0753 |
| Readability: 0.2566 |
| Weighted Score: 0.3022 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.0071 |
| ROUGE-1: 0.1535 |
| ROUGE-2: 0.0051 |
| ROUGE-L: 0.1452 |
| Cosine Similarity: 0.1611 |
| Structural Similarity: 0.4375 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0334 |
| Readability: 0.5114 |
| Weighted Score: 0.2197 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0039 |
| ROUGE-1: 0.1636 |
| ROUGE-2: 0.0174 |
| ROUGE-L: 0.1609 |
| Cosine Similarity: 0.3397 |
| Structural Similarity: 0.2941 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0529 |
| Readability: 0.2556 |
| Weighted Score: 0.2569 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0264 |
| ROUGE-1: 0.1636 |
| ROUGE-2: 0.0257 |
| ROUGE-L: 0.1569 |
| Cosine Similarity: 0.4481 |
| Structural Similarity: 0.4800 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0624 |
| Readability: 0.3963 |
| Weighted Score: 0.3188 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0038 |
| ROUGE-1: 0.1724 |
| ROUGE-2: 0.0175 |
| ROUGE-L: 0.1652 |
| Cosine Similarity: 0.3350 |
| Structural Similarity: 0.4091 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0400 |
| Readability: 0.2058 |
| Weighted Score: 0.2558 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0204 |
| ROUGE-1: 0.1530 |
| ROUGE-2: 0.0324 |
| ROUGE-L: 0.1491 |
| Cosine Similarity: 0.2507 |
| Structural Similarity: 0.4091 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0263 |
| Readability: 0.4085 |
| Weighted Score: 0.2862 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0076 |
| ROUGE-1: 0.1764 |
| ROUGE-2: 0.0236 |
| ROUGE-L: 0.1764 |
| Cosine Similarity: 0.3353 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0520 |
| Readability: 0.4227 |
| Weighted Score: 0.3118 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0608 |
| ROUGE-2: 0.0110 |
| ROUGE-L: 0.0576 |
| Cosine Similarity: 0.0855 |
| Structural Similarity: 0.3846 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0204 |
| Readability: 0.2292 |
| Weighted Score: 0.1413 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0016 |
| ROUGE-1: 0.1655 |
| ROUGE-2: 0.0239 |
| ROUGE-L: 0.1585 |
| Cosine Similarity: 0.4465 |
| Structural Similarity: 0.2381 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0502 |
| Readability: 0.3974 |
| Weighted Score: 0.2498 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.0077 |
| ROUGE-1: 0.1827 |
| ROUGE-2: 0.0132 |
| ROUGE-L: 0.1778 |
| Cosine Similarity: 0.2866 |
| Structural Similarity: 0.4375 |
| Information Retrieval: 0.0000 |
| Code Consistency: 0.0575 |
| Readability: 0.3649 |
| Weighted Score: 0.1702 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0954 |
| ROUGE-2: 0.0156 |
| ROUGE-L: 0.0934 |
| Cosine Similarity: 0.2635 |
| Structural Similarity: 0.1628 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.3270 |
| Weighted Score: 0.2749 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0574 |
| ROUGE-2: 0.0070 |
| ROUGE-L: 0.0555 |
| Cosine Similarity: 0.4427 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0645 |
| Readability: 0.3067 |
| Weighted Score: 0.1651 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0051 |
| ROUGE-1: 0.0440 |
| ROUGE-2: 0.0000 |
| ROUGE-L: 0.0440 |
| Cosine Similarity: 0.0357 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 1.0000 |
| Readability: 0.4945 |
| Weighted Score: 0.4834 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1194 |
| ROUGE-2: 0.0218 |
| ROUGE-L: 0.1119 |
| Cosine Similarity: 0.5187 |
| Structural Similarity: 0.1143 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.5036 |
| Weighted Score: 0.2925 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0230 |
| ROUGE-2: 0.0009 |
| ROUGE-L: 0.0230 |
| Cosine Similarity: 0.0914 |
| Structural Similarity: 0.0727 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0066 |
| Readability: 0.4126 |
| Weighted Score: 0.1418 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0099 |
| ROUGE-1: 0.1380 |
| ROUGE-2: 0.0243 |
| ROUGE-L: 0.1272 |
| Cosine Similarity: 0.3583 |
| Structural Similarity: 0.4000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1121 |
| Readability: 0.5114 |
| Weighted Score: 0.3312 |
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| Repository: flask |
| Scores: |
| BLEU: 0.0305 |
| ROUGE-1: 0.1933 |
| ROUGE-2: 0.0291 |
| ROUGE-L: 0.1667 |
| Cosine Similarity: 0.2801 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0740 |
| Readability: -0.0125 |
| Weighted Score: 0.1649 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0294 |
| ROUGE-2: 0.0027 |
| ROUGE-L: 0.0285 |
| Cosine Similarity: 0.3756 |
| Structural Similarity: 0.0263 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.3077 |
| Weighted Score: 0.2238 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0083 |
| ROUGE-1: 0.1401 |
| ROUGE-2: 0.0100 |
| ROUGE-L: 0.1362 |
| Cosine Similarity: 0.1860 |
| Structural Similarity: 0.4286 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0296 |
| Readability: 0.1172 |
| Weighted Score: 0.1812 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0084 |
| ROUGE-1: 0.1846 |
| ROUGE-2: 0.0223 |
| ROUGE-L: 0.1714 |
| Cosine Similarity: 0.5433 |
| Structural Similarity: 0.1333 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0843 |
| Readability: 0.5787 |
| Weighted Score: 0.2938 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0624 |
| ROUGE-2: 0.0101 |
| ROUGE-L: 0.0615 |
| Cosine Similarity: 0.4556 |
| Structural Similarity: 0.0301 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0000 |
| Readability: 0.2515 |
| Weighted Score: 0.1433 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0186 |
| ROUGE-2: 0.0031 |
| ROUGE-L: 0.0186 |
| Cosine Similarity: 0.1000 |
| Structural Similarity: 0.0625 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0000 |
| Readability: 0.5513 |
| Weighted Score: 0.2079 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0044 |
| ROUGE-1: 0.1163 |
| ROUGE-2: 0.0107 |
| ROUGE-L: 0.1142 |
| Cosine Similarity: 0.2302 |
| Structural Similarity: 0.1300 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0695 |
| Readability: 0.4891 |
| Weighted Score: 0.2763 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0054 |
| ROUGE-1: 0.1157 |
| ROUGE-2: 0.0189 |
| ROUGE-L: 0.1121 |
| Cosine Similarity: 0.3088 |
| Structural Similarity: 0.0455 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0667 |
| Readability: 0.5229 |
| Weighted Score: 0.2421 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0315 |
| ROUGE-2: 0.0026 |
| ROUGE-L: 0.0298 |
| Cosine Similarity: 0.4124 |
| Structural Similarity: 0.0332 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0588 |
| Readability: -0.1289 |
| Weighted Score: 0.1127 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0019 |
| ROUGE-1: 0.1599 |
| ROUGE-2: 0.0292 |
| ROUGE-L: 0.1483 |
| Cosine Similarity: 0.2068 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0783 |
| Readability: 0.4529 |
| Weighted Score: 0.2834 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0265 |
| ROUGE-2: 0.0041 |
| ROUGE-L: 0.0258 |
| Cosine Similarity: 0.2773 |
| Structural Similarity: 0.0779 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.0417 |
| Readability: 0.3006 |
| Weighted Score: 0.1459 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0252 |
| ROUGE-1: 0.2108 |
| ROUGE-2: 0.0260 |
| ROUGE-L: 0.2034 |
| Cosine Similarity: 0.4367 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0847 |
| Readability: 0.4921 |
| Weighted Score: 0.3463 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.1453 |
| ROUGE-2: 0.0132 |
| ROUGE-L: 0.1453 |
| Cosine Similarity: 0.2666 |
| Structural Similarity: 0.3846 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0288 |
| Readability: 0.4238 |
| Weighted Score: 0.2458 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0055 |
| ROUGE-1: 0.0489 |
| ROUGE-2: 0.0065 |
| ROUGE-L: 0.0489 |
| Cosine Similarity: 0.0460 |
| Structural Similarity: 0.3889 |
| Information Retrieval: 0.4000 |
| Code Consistency: 0.0296 |
| Readability: 0.6001 |
| Weighted Score: 0.2535 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0887 |
| ROUGE-2: 0.0188 |
| ROUGE-L: 0.0887 |
| Cosine Similarity: 0.4796 |
| Structural Similarity: 0.0625 |
| Information Retrieval: 0.0000 |
| Code Consistency: 0.0573 |
| Readability: 0.4434 |
| Weighted Score: 0.1609 |
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| Repository: flux |
| Scores: |
| BLEU: 0.0078 |
| ROUGE-1: 0.1724 |
| ROUGE-2: 0.0214 |
| ROUGE-L: 0.1690 |
| Cosine Similarity: 0.2646 |
| Structural Similarity: 0.3438 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0909 |
| Readability: 0.3219 |
| Weighted Score: 0.2763 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.0278 |
| ROUGE-1: 0.1606 |
| ROUGE-2: 0.0366 |
| ROUGE-L: 0.1554 |
| Cosine Similarity: 0.2608 |
| Structural Similarity: 0.3889 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.3943 |
| Weighted Score: 0.2784 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0524 |
| ROUGE-2: 0.0073 |
| ROUGE-L: 0.0519 |
| Cosine Similarity: 0.4042 |
| Structural Similarity: 0.0202 |
| Information Retrieval: 0.2000 |
| Code Consistency: 0.1210 |
| Readability: 0.4992 |
| Weighted Score: 0.2102 |
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