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  | Metric | GPT-2-dolly | GPT-2 (base) |
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  |-----------------------|-------|-------|
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- | Avg. | 29.85 | **29.99** |
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- | ARC (25-shot) | 21.76 | **21.84** |
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- | HellaSwag (10-shot) | 30.77 | **31.6** |
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- | MMLU (5-shot) | 24.66 | **25.86** |
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- | TruthfulQA (0-shot) | **42.22** | 40.67 |
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  We use state-of-the-art [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results.
 
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  | Metric | GPT-2-dolly | GPT-2 (base) |
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  |-----------------------|-------|-------|
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+ | Avg. | **30.91** | 29.99 |
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+ | ARC (25-shot) | **22.70** | 21.84 |
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+ | HellaSwag (10-shot) | 30.15 | **31.6** |
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+ | MMLU (5-shot) | 25.81 | **25.86** |
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+ | TruthfulQA (0-shot) | **44.97** | 40.67 |
 
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  We use state-of-the-art [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results.