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Adding Evaluation Results
Browse filesThis 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
README.md
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@@ -21,4 +21,17 @@ The Future of MuseCan
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MuseCan is still under development, but it has the potential to be a powerful tool for music generation. In the future, MuseCan could be used to create music that is even more realistic and lifelike. It could also be used to create music that is tailored to specific individuals. For example, MuseCan could be used to create a song that is specifically for a person's birthday or anniversary.
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Conclusion
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MuseCan is a powerful tool that can be used to generate a variety of musical styles. It can be used to generate music for a variety of purposes, such as for video games, movies, or simply for personal enjoyment. MuseCan is still under development, but it has the potential to be a powerful tool for music generation.
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MuseCan is still under development, but it has the potential to be a powerful tool for music generation. In the future, MuseCan could be used to create music that is even more realistic and lifelike. It could also be used to create music that is tailored to specific individuals. For example, MuseCan could be used to create a song that is specifically for a person's birthday or anniversary.
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Conclusion
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MuseCan is a powerful tool that can be used to generate a variety of musical styles. It can be used to generate music for a variety of purposes, such as for video games, movies, or simply for personal enjoyment. MuseCan is still under development, but it has the potential to be a powerful tool for music generation.
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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_BreadAi__MuseCan)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 18.06 |
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| ARC (25-shot) | 28.07 |
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| HellaSwag (10-shot) | 25.0 |
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| MMLU (5-shot) | 24.19 |
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| TruthfulQA (0-shot) | 0.0 |
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| Winogrande (5-shot) | 49.09 |
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| GSM8K (5-shot) | 0.0 |
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| DROP (3-shot) | 0.03 |
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