Adding Evaluation Results
#2
by
djuna
- opened
README.md
CHANGED
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---
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base_model:
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- RozGrov/NemoDori-v0.2.2-12B-MN-ties
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- spow12/ChatWaifu_v1.4
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- Nohobby/MN-12B-Siskin-v0.2
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- GalrionSoftworks/Canidori-12B-v1
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- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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---
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# merge
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@@ -42,3 +136,17 @@ merge_method: model_stock
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base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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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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- RozGrov/NemoDori-v0.2.2-12B-MN-ties
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- spow12/ChatWaifu_v1.4
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- Nohobby/MN-12B-Siskin-v0.2
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- GalrionSoftworks/Canidori-12B-v1
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- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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model-index:
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- name: MN-Chinofun
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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: 61.1
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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/MN-Chinofun
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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: 28.48
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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/MN-Chinofun
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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: 10.5
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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/MN-Chinofun
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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: 6.15
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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/MN-Chinofun
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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: 10.38
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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/MN-Chinofun
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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: 28.92
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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/MN-Chinofun
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name: Open LLM Leaderboard
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---
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# merge
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base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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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__MN-Chinofun)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |24.26|
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|IFEval (0-Shot) |61.10|
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|BBH (3-Shot) |28.48|
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|MATH Lvl 5 (4-Shot)|10.50|
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|GPQA (0-shot) | 6.15|
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|MuSR (0-shot) |10.38|
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|MMLU-PRO (5-shot) |28.92|
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