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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 +15 -1
README.md CHANGED
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  ---
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  license: mit
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- base_model: ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2
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  tags:
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  - alignment-handbook
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  - dpo
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  - trl
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  - selm
 
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  datasets:
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  - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
@@ -74,3 +74,17 @@ The following hyperparameters were used during training:
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.14.6
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  - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
 
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  tags:
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  - alignment-handbook
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  - dpo
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  - trl
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  - selm
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+ base_model: ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2
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  datasets:
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  - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
 
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.14.6
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  - Tokenizers 0.19.1
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+
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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_ZhangShenao__SELM-Llama-3-8B-Instruct-iter-3)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |23.56|
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+ |IFEval (0-Shot) |69.03|
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+ |BBH (3-Shot) |29.08|
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+ |MATH Lvl 5 (4-Shot)| 5.74|
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+ |GPQA (0-shot) | 1.12|
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+ |MuSR (0-shot) | 5.50|
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+ |MMLU-PRO (5-shot) |30.92|
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+