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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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@@ -41,4 +41,17 @@ ASSISTANT:
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  - Highest priority right now is V3.1 with more optimized training and iterative dataset improvements based on testing.
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  ### Note:
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- Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended. This model should do much better due to stricter filetering.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Highest priority right now is V3.1 with more optimized training and iterative dataset improvements based on testing.
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  ### Note:
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+ Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended. This model should do much better due to stricter filetering.
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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-V3-16k)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 44.82 |
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+ | ARC (25-shot) | 58.19 |
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+ | HellaSwag (10-shot) | 80.12 |
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+ | MMLU (5-shot) | 50.48 |
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+ | TruthfulQA (0-shot) | 45.18 |
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+ | Winogrande (5-shot) | 70.72 |
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+ | GSM8K (5-shot) | 1.97 |
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+ | DROP (3-shot) | 7.06 |