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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
@@ -51,4 +51,17 @@ Training took about 1 hour using QLoRa on 1xA100, so this model can be recreated
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  - Regenerating using gpt-4.
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  - A bit more data with more diversity.
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  - Refactor dataset generation script.
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- - Test some model merges using this model.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Regenerating using gpt-4.
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  - A bit more data with more diversity.
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  - Refactor dataset generation script.
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+ - Test some model merges using this model.
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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_totally-not-an-llm__EverythingLM-13b-16k)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 45.7 |
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+ | ARC (25-shot) | 56.57 |
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+ | HellaSwag (10-shot) | 80.58 |
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+ | MMLU (5-shot) | 50.18 |
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+ | TruthfulQA (0-shot) | 47.46 |
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+ | Winogrande (5-shot) | 72.77 |
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+ | GSM8K (5-shot) | 6.44 |
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+ | DROP (3-shot) | 5.89 |