| Evaluation Results for model: mistral-nemo:12b-instruct-2407-fp16 | |
| Timestamp: 20240912_182234 | |
| Average Scores: | |
| bleu: 0.0109 | |
| rouge-1: 0.1124 | |
| rouge-2: 0.0170 | |
| rouge-l: 0.1094 | |
| cosine_similarity: 0.2662 | |
| structural_similarity: 0.2426 | |
| information_retrieval: 0.5200 | |
| code_consistency: 0.0880 | |
| readability: 0.3730 | |
| weighted_score: 0.2562 | |
| Detailed Results: | |
| Repository: labelme | |
| Scores: | |
| BLEU: 0.0054 | |
| ROUGE-1: 0.1679 | |
| ROUGE-2: 0.0276 | |
| ROUGE-L: 0.1679 | |
| Cosine Similarity: 0.3189 | |
| Structural Similarity: 0.1184 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0224 | |
| Readability: 0.4004 | |
| Weighted Score: 0.2610 | |
| Repository: gpt-engineer | |
| Scores: | |
| BLEU: 0.0227 | |
| ROUGE-1: 0.1712 | |
| ROUGE-2: 0.0260 | |
| ROUGE-L: 0.1626 | |
| Cosine Similarity: 0.3477 | |
| Structural Similarity: 0.4000 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0443 | |
| Readability: 0.1466 | |
| Weighted Score: 0.2873 | |
| Repository: ChatGLM-6B | |
| Scores: | |
| BLEU: 0.0005 | |
| ROUGE-1: 0.0718 | |
| ROUGE-2: 0.0111 | |
| ROUGE-L: 0.0718 | |
| Cosine Similarity: 0.3376 | |
| Structural Similarity: 0.1964 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0722 | |
| Readability: 0.3280 | |
| Weighted Score: 0.2987 | |
| Repository: SMSBoom | |
| Scores: | |
| BLEU: 0.0152 | |
| ROUGE-1: 0.0803 | |
| ROUGE-2: 0.0162 | |
| ROUGE-L: 0.0803 | |
| Cosine Similarity: 0.0913 | |
| Structural Similarity: 0.2750 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.1389 | |
| Readability: 0.6163 | |
| Weighted Score: 0.3151 | |
| Repository: mackup | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0812 | |
| ROUGE-2: 0.0183 | |
| ROUGE-L: 0.0769 | |
| Cosine Similarity: 0.1599 | |
| Structural Similarity: 0.1923 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.1481 | |
| Readability: 0.3452 | |
| Weighted Score: 0.2598 | |
| Repository: TaskMatrix | |
| Scores: | |
| BLEU: 0.0222 | |
| ROUGE-1: 0.1630 | |
| ROUGE-2: 0.0241 | |
| ROUGE-L: 0.1533 | |
| Cosine Similarity: 0.3942 | |
| Structural Similarity: 0.1607 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0519 | |
| Readability: 0.4738 | |
| Weighted Score: 0.3342 | |
| Repository: Deep-Live-Cam | |
| Scores: | |
| BLEU: 0.0063 | |
| ROUGE-1: 0.1495 | |
| ROUGE-2: 0.0351 | |
| ROUGE-L: 0.1441 | |
| Cosine Similarity: 0.3481 | |
| Structural Similarity: 0.3966 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0430 | |
| Readability: 0.3422 | |
| Weighted Score: 0.2831 | |
| Repository: python-fire | |
| Scores: | |
| BLEU: 0.0109 | |
| ROUGE-1: 0.1498 | |
| ROUGE-2: 0.0051 | |
| ROUGE-L: 0.1417 | |
| Cosine Similarity: 0.1138 | |
| Structural Similarity: 0.3333 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0334 | |
| Readability: 0.3270 | |
| Weighted Score: 0.2078 | |
| Repository: devika | |
| Scores: | |
| BLEU: 0.0289 | |
| ROUGE-1: 0.1578 | |
| ROUGE-2: 0.0401 | |
| ROUGE-L: 0.1501 | |
| Cosine Similarity: 0.2939 | |
| Structural Similarity: 0.2941 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0577 | |
| Readability: 0.0853 | |
| Weighted Score: 0.2219 | |
| Repository: gpt-pilot | |
| Scores: | |
| BLEU: 0.0015 | |
| ROUGE-1: 0.1255 | |
| ROUGE-2: 0.0145 | |
| ROUGE-L: 0.1194 | |
| Cosine Similarity: 0.2762 | |
| Structural Similarity: 0.2292 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0370 | |
| Readability: 0.3584 | |
| Weighted Score: 0.1784 | |
| Repository: Depix | |
| Scores: | |
| BLEU: 0.0198 | |
| ROUGE-1: 0.1414 | |
| ROUGE-2: 0.0224 | |
| ROUGE-L: 0.1380 | |
| Cosine Similarity: 0.3574 | |
| Structural Similarity: 0.3182 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.1200 | |
| Readability: 0.1872 | |
| Weighted Score: 0.3011 | |
| Repository: Real-Time-Voice-Cloning | |
| Scores: | |
| BLEU: 0.0184 | |
| ROUGE-1: 0.1224 | |
| ROUGE-2: 0.0202 | |
| ROUGE-L: 0.1224 | |
| Cosine Similarity: 0.1763 | |
| Structural Similarity: 0.4500 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0263 | |
| Readability: 0.4962 | |
| Weighted Score: 0.2578 | |
| Repository: httpx | |
| Scores: | |
| BLEU: 0.0244 | |
| ROUGE-1: 0.1766 | |
| ROUGE-2: 0.0309 | |
| ROUGE-L: 0.1766 | |
| Cosine Similarity: 0.3697 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0581 | |
| Readability: 0.3686 | |
| Weighted Score: 0.3076 | |
| Repository: chatgpt-mirai-qq-bot | |
| Scores: | |
| BLEU: 0.0005 | |
| ROUGE-1: 0.0812 | |
| ROUGE-2: 0.0178 | |
| ROUGE-L: 0.0812 | |
| Cosine Similarity: 0.0955 | |
| Structural Similarity: 0.3462 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0238 | |
| Readability: 0.4962 | |
| Weighted Score: 0.3142 | |
| Repository: gpt-researcher | |
| Scores: | |
| BLEU: 0.0023 | |
| ROUGE-1: 0.1171 | |
| ROUGE-2: 0.0188 | |
| ROUGE-L: 0.1152 | |
| Cosine Similarity: 0.2089 | |
| Structural Similarity: 0.2857 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0776 | |
| Readability: 0.2058 | |
| Weighted Score: 0.2748 | |
| Repository: mkdocs | |
| Scores: | |
| BLEU: 0.0219 | |
| ROUGE-1: 0.1393 | |
| ROUGE-2: 0.0215 | |
| ROUGE-L: 0.1393 | |
| Cosine Similarity: 0.2371 | |
| Structural Similarity: 0.4286 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0521 | |
| Readability: 0.3320 | |
| Weighted Score: 0.2756 | |
| Repository: face_recognition | |
| Scores: | |
| BLEU: 0.0001 | |
| ROUGE-1: 0.1182 | |
| ROUGE-2: 0.0223 | |
| ROUGE-L: 0.1163 | |
| Cosine Similarity: 0.4336 | |
| Structural Similarity: 0.1163 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.3666 | |
| Weighted Score: 0.2569 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0481 | |
| ROUGE-2: 0.0042 | |
| ROUGE-L: 0.0467 | |
| Cosine Similarity: 0.3044 | |
| Structural Similarity: 0.0289 | |
| Information Retrieval: 0.0000 | |
| Code Consistency: 0.1129 | |
| Readability: 0.5084 | |
| Weighted Score: 0.1609 | |
| Repository: GPT_API_free | |
| Scores: | |
| BLEU: 0.0018 | |
| ROUGE-1: 0.0593 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0593 | |
| Cosine Similarity: 0.1069 | |
| Structural Similarity: 0.1750 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 1.0000 | |
| Readability: 0.6021 | |
| Weighted Score: 0.5128 | |
| Repository: 30-Days-Of-Python | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.1160 | |
| ROUGE-2: 0.0152 | |
| ROUGE-L: 0.1116 | |
| Cosine Similarity: 0.3842 | |
| Structural Similarity: 0.0857 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0769 | |
| Readability: 0.5706 | |
| Weighted Score: 0.3046 | |
| Repository: ChatPaper | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0510 | |
| ROUGE-2: 0.0035 | |
| ROUGE-L: 0.0484 | |
| Cosine Similarity: 0.0723 | |
| Structural Similarity: 0.0636 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0263 | |
| Readability: 0.3639 | |
| Weighted Score: 0.1351 | |
| Repository: twint | |
| Scores: | |
| BLEU: 0.0102 | |
| ROUGE-1: 0.1189 | |
| ROUGE-2: 0.0169 | |
| ROUGE-L: 0.1134 | |
| Cosine Similarity: 0.2062 | |
| Structural Similarity: 0.3500 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.1638 | |
| Readability: 0.4065 | |
| Weighted Score: 0.2190 | |
| Repository: flask | |
| Scores: | |
| BLEU: 0.0191 | |
| ROUGE-1: 0.1296 | |
| ROUGE-2: 0.0161 | |
| ROUGE-L: 0.1296 | |
| Cosine Similarity: 0.2013 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0740 | |
| Readability: 0.2058 | |
| Weighted Score: 0.2322 | |
| Repository: professional-programming | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0238 | |
| ROUGE-2: 0.0029 | |
| ROUGE-L: 0.0233 | |
| Cosine Similarity: 0.3054 | |
| Structural Similarity: 0.0414 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4309 | |
| Weighted Score: 0.2825 | |
| Repository: EIPs | |
| Scores: | |
| BLEU: 0.0353 | |
| ROUGE-1: 0.1930 | |
| ROUGE-2: 0.0294 | |
| ROUGE-L: 0.1860 | |
| Cosine Similarity: 0.3039 | |
| Structural Similarity: 0.4286 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0237 | |
| Readability: 0.0701 | |
| Weighted Score: 0.2692 | |
| Repository: grok-1 | |
| Scores: | |
| BLEU: 0.0698 | |
| ROUGE-1: 0.2111 | |
| ROUGE-2: 0.0467 | |
| ROUGE-L: 0.2010 | |
| Cosine Similarity: 0.4711 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0602 | |
| Readability: 0.3320 | |
| Weighted Score: 0.2529 | |
| Repository: PyTorch-GAN | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0870 | |
| ROUGE-2: 0.0154 | |
| ROUGE-L: 0.0844 | |
| Cosine Similarity: 0.5495 | |
| Structural Similarity: 0.0301 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0411 | |
| Readability: 0.4380 | |
| Weighted Score: 0.2000 | |
| Repository: public-apis | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0204 | |
| ROUGE-2: 0.0016 | |
| ROUGE-L: 0.0204 | |
| Cosine Similarity: 0.0704 | |
| Structural Similarity: 0.0446 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4637 | |
| Weighted Score: 0.1857 | |
| Repository: hackingtool | |
| Scores: | |
| BLEU: 0.0131 | |
| ROUGE-1: 0.1222 | |
| ROUGE-2: 0.0086 | |
| ROUGE-L: 0.1222 | |
| Cosine Similarity: 0.4898 | |
| Structural Similarity: 0.1800 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0642 | |
| Readability: 0.4369 | |
| Weighted Score: 0.2970 | |
| Repository: cascadia-code | |
| Scores: | |
| BLEU: 0.0149 | |
| ROUGE-1: 0.1310 | |
| ROUGE-2: 0.0197 | |
| ROUGE-L: 0.1276 | |
| Cosine Similarity: 0.2394 | |
| Structural Similarity: 0.4583 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0667 | |
| Readability: 0.5442 | |
| Weighted Score: 0.2428 | |
| Repository: python-cheatsheet | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0342 | |
| ROUGE-2: 0.0059 | |
| ROUGE-L: 0.0342 | |
| Cosine Similarity: 0.3649 | |
| Structural Similarity: 0.0142 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0588 | |
| Readability: 0.5879 | |
| Weighted Score: 0.2497 | |
| Repository: rembg | |
| Scores: | |
| BLEU: 0.0008 | |
| ROUGE-1: 0.1257 | |
| ROUGE-2: 0.0097 | |
| ROUGE-L: 0.1187 | |
| Cosine Similarity: 0.1224 | |
| Structural Similarity: 0.2750 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0870 | |
| Readability: 0.4248 | |
| Weighted Score: 0.2707 | |
| Repository: devops-exercises | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0333 | |
| ROUGE-2: 0.0045 | |
| ROUGE-L: 0.0326 | |
| Cosine Similarity: 0.2153 | |
| Structural Similarity: 0.0844 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.1667 | |
| Readability: 0.3117 | |
| Weighted Score: 0.2480 | |
| Repository: AutoEq | |
| Scores: | |
| BLEU: 0.0137 | |
| ROUGE-1: 0.1538 | |
| ROUGE-2: 0.0226 | |
| ROUGE-L: 0.1448 | |
| Cosine Similarity: 0.2485 | |
| Structural Similarity: 0.3929 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0975 | |
| Readability: 0.1679 | |
| Weighted Score: 0.2093 | |
| Repository: MiniGPT-4 | |
| Scores: | |
| BLEU: 0.0012 | |
| ROUGE-1: 0.1050 | |
| ROUGE-2: 0.0108 | |
| ROUGE-L: 0.1050 | |
| Cosine Similarity: 0.1898 | |
| Structural Similarity: 0.2692 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0354 | |
| Readability: 0.5418 | |
| Weighted Score: 0.2489 | |
| Repository: python-spider | |
| Scores: | |
| BLEU: 0.0087 | |
| ROUGE-1: 0.0557 | |
| ROUGE-2: 0.0124 | |
| ROUGE-L: 0.0557 | |
| Cosine Similarity: 0.0832 | |
| Structural Similarity: 0.3182 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0394 | |
| Readability: 0.5676 | |
| Weighted Score: 0.2865 | |
| Repository: chatgpt-retrieval-plugin | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0905 | |
| ROUGE-2: 0.0178 | |
| ROUGE-L: 0.0887 | |
| Cosine Similarity: 0.4879 | |
| Structural Similarity: 0.0938 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0446 | |
| Readability: 0.2261 | |
| Weighted Score: 0.1989 | |
| Repository: flux | |
| Scores: | |
| BLEU: 0.0393 | |
| ROUGE-1: 0.1893 | |
| ROUGE-2: 0.0304 | |
| ROUGE-L: 0.1832 | |
| Cosine Similarity: 0.2522 | |
| Structural Similarity: 0.4062 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1364 | |
| Readability: 0.1669 | |
| Weighted Score: 0.2239 | |
| Repository: pyright | |
| Scores: | |
| BLEU: 0.0052 | |
| ROUGE-1: 0.1390 | |
| ROUGE-2: 0.0086 | |
| ROUGE-L: 0.1390 | |
| Cosine Similarity: 0.1475 | |
| Structural Similarity: 0.3750 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.2789 | |
| Weighted Score: 0.1981 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0435 | |
| ROUGE-2: 0.0048 | |
| ROUGE-L: 0.0430 | |
| Cosine Similarity: 0.2732 | |
| Structural Similarity: 0.0462 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.1371 | |
| Readability: 0.3984 | |
| Weighted Score: 0.1821 | |