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@@ -176,13 +176,7 @@ The following hyperparameters were used during training:
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  | 0.7476 | 0.9122 | 756 | 0.5391 |
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  | 0.715 | 0.9629 | 798 | 0.5378 |
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- ## Leaderboard Evaluation:
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- We'll see them soon, keep tuned :)
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- ## Thanks
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- - Qwen Team for their outstanding model
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- - MagPie Team for contributing plenty of datasets
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- - Cybertron Cloud Compute
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__TheBeagle-v2beta-32B-MGS)
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@@ -196,3 +190,7 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  |MuSR (0-shot) |24.50|
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  |MMLU-PRO (5-shot) |54.57|
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  | 0.7476 | 0.9122 | 756 | 0.5391 |
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  | 0.715 | 0.9629 | 798 | 0.5378 |
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__TheBeagle-v2beta-32B-MGS)
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  |MuSR (0-shot) |24.50|
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  |MMLU-PRO (5-shot) |54.57|
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+ ## Thanks
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+ - Qwen Team for their outstanding model
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+ - MagPie Team for contributing plenty of datasets
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+ - Cybertron Cloud Compute