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README.md
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The current SOTA model on this benchmark in zero shot setting is **Gemini-1.5-Flash-Exp-0827**.
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It scores the highest across a number of different metrics.
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bleu: 0.0072
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rouge-1: 0.1196
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rouge-2: 0.0169
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rouge-l: 0.1151
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cosine_similarity: 0.3029
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structural_similarity: 0.2416
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information_retrieval: 0.4450
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code_consistency: 0.0796
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readability: 0.3790
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weighted_score: 0.2443
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| Model | Score | BLEU | ROUGE-1 | ROUGE-2 | ROUGE-l | Cosine-Sim | Structural-Sim | Info-Ret | Code-Consistency | Readability | Logs |
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| llama3.1-8b-instruct | 24.43 | 0.72 | 11.96 | 1.69 | 11.51 | 30.29 | 24.16 | 44.50 | 7.96 | 37.90 | [link](llama3.1-8b-instruct-fp16_results_20240912_185437.log) |
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| mistral-nemo-instruct-2407 | 25.62 | 1.09 | 11.24 | 1.70 | 10.94 | 26.62 | 24.26 | 52.00 | **8.80** | 37.30 | [link](mistral-nemo-12b-instruct-2407-fp16_results_20240912_182234.log) |
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| gpt-4o-mini-2024-07-18 | 32.16 | 1.64 | 15.46 | 3.85 | 14.84 | 40.57 | 23.81 | 72.50 | 4.77 | 44.81 | [link](gpt-4o-mini-2024-07-18_results_20240912_161045.log) |
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| gpt-4o-2024-08-06 | 33.13 | 1.68 | 15.36 | 3.59 | 14.81 | 40.00 | 23.91 | 74.50 | 8.36 | 44.33 | [link](gpt-4o-2024-08-06_results_20240912_155645.log) |
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| gemini-1.5-flash-8b-exp-0827 | 32.12 | 1.36 | 14.66 | 3.31 | 14.14 | 38.31 | 23.00 | 70.00 | 7.43 | **46.47** | [link](gemini-1.5-flash-8b-exp-0827_results_20240912_134026.log) |
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| **gemini-1.5-flash-exp-0827** | **33.43** | 1.66 | **16.00** | 3.88 | **15.33** |
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| gemini-1.5-pro-exp-0827 | 32.51 |
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| oracle-score | 56.79 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 98.24 | 59.00 | 11.01 | 14.84 | [link](oracle_results_20240912_155859.log) |
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## Few-Shot
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The current SOTA model on this benchmark in zero shot setting is **Gemini-1.5-Flash-Exp-0827**.
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It scores the highest across a number of different metrics.
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| Model | Score | BLEU | ROUGE-1 | ROUGE-2 | ROUGE-l | Cosine-Sim | Structural-Sim | Info-Ret | Code-Consistency | Readability | Logs |
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|:-----:|:-----:|:----:|:-------:|:-------:|:-------:|:----------:|:--------------:|:--------:|:----------------:|:-----------:|:----:|
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| llama3.1-8b-instruct | 24.43 | 0.72 | 11.96 | 1.69 | 11.51 | 30.29 | 24.16 | 44.50 | 7.96 | 37.90 | [link](llama3.1-8b-instruct-fp16_results_20240912_185437.log) |
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| mistral-nemo-instruct-2407 | 25.62 | 1.09 | 11.24 | 1.70 | 10.94 | 26.62 | 24.26 | 52.00 | **8.80** | 37.30 | [link](mistral-nemo-12b-instruct-2407-fp16_results_20240912_182234.log) |
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| gpt-4o-mini-2024-07-18 | 32.16 | 1.64 | 15.46 | 3.85 | 14.84 | 40.57 | 23.81 | 72.50 | 4.77 | 44.81 | [link](gpt-4o-mini-2024-07-18_results_20240912_161045.log) |
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| gpt-4o-2024-08-06 | 33.13 | 1.68 | 15.36 | 3.59 | 14.81 | 40.00 | 23.91 | 74.50 | 8.36 | 44.33 | [link](gpt-4o-2024-08-06_results_20240912_155645.log) |
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| o1-mini-2024-09-12 | 33.05 | **3.13** | 15.39 | 3.51 | 14.81 | **42.49** | **27.55** | **80.00** | 7.78 | 35.27 | [link](o1-mini_results_20240913_183521.log) |
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| gemini-1.5-flash-8b-exp-0827 | 32.12 | 1.36 | 14.66 | 3.31 | 14.14 | 38.31 | 23.00 | 70.00 | 7.43 | **46.47** | [link](gemini-1.5-flash-8b-exp-0827_results_20240912_134026.log) |
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| **gemini-1.5-flash-exp-0827** | **33.43** | 1.66 | **16.00** | 3.88 | **15.33** | 41.87 | 23.59 | 76.50 | 7.86 | 43.34 | [link](gemini-1.5-flash-exp-0827_results_20240912_144919.log) |
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| gemini-1.5-pro-exp-0827 | 32.51 | 2.55 | 15.27 | **4.97** | 14.86 | 41.09 | 23.94 | 72.82 | 6.73 | 43.34 | [link](gemini-1.5-pro-exp-0827_results_20240912_141225.log) |
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| oracle-score | 56.79 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 98.24 | 59.00 | 11.01 | 14.84 | [link](oracle_results_20240912_155859.log) |
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## Few-Shot
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