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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (320c4a13506481a602ce4073bff4c0394ab2b002)
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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- prince-canuma/Ministral-8B-Instruct-2410-HF
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- prince-canuma/Ministral-8B-Instruct-2410-HF
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tags:
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- merge
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- mergekit
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- lazymergekit
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- prince-canuma/Ministral-8B-Instruct-2410-HF
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---
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# Ministral-8B-slerp
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@@ -59,4 +154,17 @@ pipeline = transformers.pipeline(
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- prince-canuma/Ministral-8B-Instruct-2410-HF
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+
base_model:
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- prince-canuma/Ministral-8B-Instruct-2410-HF
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- prince-canuma/Ministral-8B-Instruct-2410-HF
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model-index:
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- name: Ministral-8B-slerp
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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: 19.61
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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=allknowingroger/Ministral-8B-slerp
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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: 25.2
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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=allknowingroger/Ministral-8B-slerp
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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: 0.0
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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=allknowingroger/Ministral-8B-slerp
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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: 8.28
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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=allknowingroger/Ministral-8B-slerp
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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: 12.4
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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=allknowingroger/Ministral-8B-slerp
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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: 23.55
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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=allknowingroger/Ministral-8B-slerp
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name: Open LLM Leaderboard
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---
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# Ministral-8B-slerp
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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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_allknowingroger__Ministral-8B-slerp)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |14.84|
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|IFEval (0-Shot) |19.61|
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|BBH (3-Shot) |25.20|
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|MATH Lvl 5 (4-Shot)| 0.00|
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|GPQA (0-shot) | 8.28|
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|MuSR (0-shot) |12.40|
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|MMLU-PRO (5-shot) |23.55|
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