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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
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  Pythia-70m-deduped finetuned on a cleaned version of ShareGPT data.
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  The cleaned dataset is obtained by removing duplicates and paraphrases from the original corpus, and keeping only the English instance.
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- The final training size is of 3507 instances.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Pythia-70m-deduped finetuned on a cleaned version of ShareGPT data.
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  The cleaned dataset is obtained by removing duplicates and paraphrases from the original corpus, and keeping only the English instance.
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+ The final training size is of 3507 instances.
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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_HWERI__pythia-70m-deduped-cleansharegpt-en)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 25.06 |
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+ | ARC (25-shot) | 21.16 |
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+ | HellaSwag (10-shot) | 27.16 |
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+ | MMLU (5-shot) | 25.24 |
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+ | TruthfulQA (0-shot) | 48.57 |
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+ | Winogrande (5-shot) | 50.12 |
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+ | GSM8K (5-shot) | 0.0 |
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+ | DROP (3-shot) | 3.15 |