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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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README.md CHANGED
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  ---
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- license: apache-2.0
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- datasets:
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- - MarkrAI/KOpen-HQ-Hermes-2.5-60K
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  language:
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  - ko
 
 
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  base_model:
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  - meta-llama/Meta-Llama-3.1-8B-Instruct
 
 
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  pipeline_tag: text-generation
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- library_name: adapter-transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Licensed under the Apache License, Version 2.0 (the "License");
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  you may not use this file except in compliance with the License.
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  ```
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- Contact : [email protected]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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  - ko
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+ license: apache-2.0
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+ library_name: adapter-transformers
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  base_model:
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  - meta-llama/Meta-Llama-3.1-8B-Instruct
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+ datasets:
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+ - MarkrAI/KOpen-HQ-Hermes-2.5-60K
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: naps-llama-3_1-8b-instruct-v0.4
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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: 73.44
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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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: 27.83
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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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: 17.22
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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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: 3.91
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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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: 13.96
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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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: 27.5
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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=NAPS-ai/naps-llama-3_1-8b-instruct-v0.4
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+ name: Open LLM Leaderboard
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  ---
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  Licensed under the Apache License, Version 2.0 (the "License");
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  you may not use this file except in compliance with the License.
 
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  ```
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+ Contact : [email protected]
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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_NAPS-ai__naps-llama-3_1-8b-instruct-v0.4)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |27.31|
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+ |IFEval (0-Shot) |73.44|
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+ |BBH (3-Shot) |27.83|
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+ |MATH Lvl 5 (4-Shot)|17.22|
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+ |GPQA (0-shot) | 3.91|
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+ |MuSR (0-shot) |13.96|
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+ |MMLU-PRO (5-shot) |27.50|
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+