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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
@@ -45,4 +45,17 @@ Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-jud
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  ## Difference between different versions of Vicuna
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- See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Difference between different versions of Vicuna
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+ See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
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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_lmsys__vicuna-13b-v1.5-16k)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 49.49 |
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+ | ARC (25-shot) | 56.74 |
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+ | HellaSwag (10-shot) | 80.37 |
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+ | MMLU (5-shot) | 55.28 |
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+ | TruthfulQA (0-shot) | 51.96 |
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+ | Winogrande (5-shot) | 72.38 |
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+ | GSM8K (5-shot) | 13.12 |
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+ | DROP (3-shot) | 16.62 |