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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (16d93eace4149c9d6e375cc5d3e2f1e65d11ed04)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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base_model:
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- nbeerbower/gemma2-gutenberg-9B
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- princeton-nlp/gemma-2-9b-it-SimPO
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- lemon07r/Gemma-2-Ataraxy-v2a-9B
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- wzhouad/gemma-2-9b-it-WPO-HB
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- lemon07r/Gemma-2-Ataraxy-9B
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---
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# Gemma-2-Ataraxy-Remix-9B
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- layer_range: [0, 42]
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model: unsloth/gemma-2-9b-it
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```
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- nbeerbower/gemma2-gutenberg-9B
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- princeton-nlp/gemma-2-9b-it-SimPO
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- lemon07r/Gemma-2-Ataraxy-v2a-9B
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- wzhouad/gemma-2-9b-it-WPO-HB
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- lemon07r/Gemma-2-Ataraxy-9B
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model-index:
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- name: Gemma-2-Ataraxy-Remix-9B
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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: 70.83
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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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: 41.59
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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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: 1.28
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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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: 11.86
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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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: 13.72
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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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: 35.99
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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=lemon07r/Gemma-2-Ataraxy-Remix-9B
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name: Open LLM Leaderboard
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---
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# Gemma-2-Ataraxy-Remix-9B
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- layer_range: [0, 42]
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model: unsloth/gemma-2-9b-it
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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_lemon07r__Gemma-2-Ataraxy-Remix-9B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |29.21|
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|IFEval (0-Shot) |70.83|
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|BBH (3-Shot) |41.59|
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|MATH Lvl 5 (4-Shot)| 1.28|
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|GPQA (0-shot) |11.86|
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|MuSR (0-shot) |13.72|
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|MMLU-PRO (5-shot) |35.99|
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