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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +14 -1
README.md CHANGED
@@ -60,4 +60,17 @@ with torch.no_grad():
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  ).cuda()
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  output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
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  print(output.replace(prompt, '').strip())
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ).cuda()
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  output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
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  print(output.replace(prompt, '').strip())
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+ ```
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_minlik__chinese-alpaca-33b-merged)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 53.09 |
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+ | ARC (25-shot) | 59.3 |
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+ | HellaSwag (10-shot) | 78.43 |
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+ | MMLU (5-shot) | 57.69 |
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+ | TruthfulQA (0-shot) | 52.45 |
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+ | Winogrande (5-shot) | 76.09 |
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+ | GSM8K (5-shot) | 8.04 |
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+ | DROP (3-shot) | 39.67 |