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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (a42b56393202910efb2f9a9519dbe7cb6ffe13b1)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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base_model:
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- djuna/L3-Suze-Vume
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- Orenguteng/Llama-3.1-8B-Lexi-Uncensored
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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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-
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---
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# merge
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@@ -62,3 +156,17 @@ tokenizer_source: base
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dtype: float32
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out_dtype: bfloat16
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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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+
- djuna/L3-Suze-Vume
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+
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored
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model-index:
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- name: L3.1-Suze-Vume-calc
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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: 72.97
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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=djuna/L3.1-Suze-Vume-calc
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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: 31.14
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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=djuna/L3.1-Suze-Vume-calc
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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: 9.89
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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=djuna/L3.1-Suze-Vume-calc
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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: 4.25
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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=djuna/L3.1-Suze-Vume-calc
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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: 8.3
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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=djuna/L3.1-Suze-Vume-calc
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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: 27.94
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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=djuna/L3.1-Suze-Vume-calc
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name: Open LLM Leaderboard
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---
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# merge
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dtype: float32
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out_dtype: bfloat16
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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_djuna__L3.1-Suze-Vume-calc)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |25.75|
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|IFEval (0-Shot) |72.97|
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|BBH (3-Shot) |31.14|
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|MATH Lvl 5 (4-Shot)| 9.89|
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|GPQA (0-shot) | 4.25|
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|MuSR (0-shot) | 8.30|
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|MMLU-PRO (5-shot) |27.94|
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