| Evaluation Results for model: mistral-nemo:12b-instruct-2407-fp16 |
| Timestamp: 20240912_182234 |
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| 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 |
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| Detailed Results: |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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