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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 +112 -3
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
 
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  base_model:
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  - Qwen/Qwen2.5-7B
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  pipeline_tag: text-generation
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- language:
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- - en
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- library_name: transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ## Model Description
@@ -42,3 +137,17 @@ Model created by analyzing and selecting the lowest perplexity for each layer fr
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  - "jbjeong91/Qwen2.5_7B_IST_StoryGen_test2"
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  - "ZeroXClem/Qwen2.5-7B-HomerCreative-Mix"
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  - "bunnycore/Qandora-2.5-7B"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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+ library_name: transformers
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  base_model:
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  - Qwen/Qwen2.5-7B
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 37.57
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 37.82
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 26.81
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 10.96
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 11.93
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 37.42
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1
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+ name: Open LLM Leaderboard
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  ---
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  ## Model Description
 
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  - "jbjeong91/Qwen2.5_7B_IST_StoryGen_test2"
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  - "ZeroXClem/Qwen2.5-7B-HomerCreative-Mix"
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  - "bunnycore/Qandora-2.5-7B"
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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_jeffmeloy__jeffmeloy_Qwen2.5-7B-minperplexity-1)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |27.09|
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+ |IFEval (0-Shot) |37.57|
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+ |BBH (3-Shot) |37.82|
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+ |MATH Lvl 5 (4-Shot)|26.81|
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+ |GPQA (0-shot) |10.96|
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+ |MuSR (0-shot) |11.93|
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+ |MMLU-PRO (5-shot) |37.42|
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+