| Evaluation Results for model: llama3.1:8b-instruct-fp16 | |
| Timestamp: 20240912_185437 | |
| 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 | |
| Detailed Results: | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |