Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (06477b02946050e59f67ea8f9fff140cdae84df7)
README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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base_model:
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- bunnycore/QandoraExp-7B
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- trollek/Qwen2.5-7B-CySecButler-v0.1
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-
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---
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# Qwen2.5-7B-Qandora-CySec
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@@ -164,4 +259,17 @@ If you use this model, please cite this repository and the original base models.
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## 💡 Tags
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-
merge, mergekit, lazymergekit, bunnycore/QandoraExp-7B, trollek/Qwen2.5-7B-CySecButler-v0.1, cybersecurity, Q&A
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---
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license: apache-2.0
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+
library_name: transformers
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tags:
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- merge
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- mergekit
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base_model:
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- bunnycore/QandoraExp-7B
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- trollek/Qwen2.5-7B-CySecButler-v0.1
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model-index:
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- name: Qwen2.5-7B-Qandora-CySec
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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: 67.73
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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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: 36.26
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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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: 22.89
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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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: 6.71
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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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: 13.41
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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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: 38.72
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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=ZeroXClem/Qwen2.5-7B-Qandora-CySec
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name: Open LLM Leaderboard
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---
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# Qwen2.5-7B-Qandora-CySec
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## 💡 Tags
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merge, mergekit, lazymergekit, bunnycore/QandoraExp-7B, trollek/Qwen2.5-7B-CySecButler-v0.1, cybersecurity, Q&A
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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_ZeroXClem__Qwen2.5-7B-Qandora-CySec)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |30.95|
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|IFEval (0-Shot) |67.73|
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|BBH (3-Shot) |36.26|
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|MATH Lvl 5 (4-Shot)|22.89|
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|GPQA (0-shot) | 6.71|
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|MuSR (0-shot) |13.41|
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|MMLU-PRO (5-shot) |38.72|
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