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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
@@ -114,4 +114,17 @@ unfiltered content from the internet, which is far from neutral. As the openAI t
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  > not recommend that they be deployed into systems that interact with humans unless the deployers first carry out a
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  > study of biases relevant to the intended use-case. We found no statistically significant difference in gender, race,
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  > and religious bias probes between 774M and 1.5B, implying all versions of GPT-2 should be approached with similar
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- > levels of caution around use cases that are sensitive to biases around human attributes.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  > not recommend that they be deployed into systems that interact with humans unless the deployers first carry out a
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  > study of biases relevant to the intended use-case. We found no statistically significant difference in gender, race,
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  > and religious bias probes between 774M and 1.5B, implying all versions of GPT-2 should be approached with similar
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+ > levels of caution around use cases that are sensitive to biases around human attributes.
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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_crumb__gpt2023)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 24.85 |
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+ | ARC (25-shot) | 21.93 |
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+ | HellaSwag (10-shot) | 31.11 |
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+ | MMLU (5-shot) | 25.05 |
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+ | TruthfulQA (0-shot) | 40.71 |
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+ | Winogrande (5-shot) | 50.12 |
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+ | GSM8K (5-shot) | 0.3 |
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+ | DROP (3-shot) | 4.73 |