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Adding Evaluation Results (#4)
Browse files- Adding Evaluation Results (dbf7b24deb10527df449eaa41e2c5819c9cbd463)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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language:
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- fr
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- en
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-
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tags:
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- chat
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- llama
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- french
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- legal
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- loi
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library_name: transformers
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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base_model: meta-llama/Llama-3.2-3B
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model_name: calme-3.1-llamaloi-3b
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datasets:
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- MaziyarPanahi/calme-legalkit-v0.2
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-
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---
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<img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Ethical Considerations
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-
As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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language:
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- fr
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- en
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license: llama3.2
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library_name: transformers
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tags:
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- chat
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- llama
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- french
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- legal
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- loi
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base_model: meta-llama/Llama-3.2-3B
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datasets:
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- MaziyarPanahi/calme-legalkit-v0.2
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model_name: calme-3.1-llamaloi-3b
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pipeline_tag: text-generation
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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model-index:
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- name: calme-3.1-llamaloi-3b
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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: 73.75
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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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: 23.77
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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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: 16.77
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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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: 4.14
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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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: 1.11
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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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: 24.5
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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=MaziyarPanahi/calme-3.1-llamaloi-3b
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name: Open LLM Leaderboard
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---
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<img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Ethical Considerations
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As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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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_MaziyarPanahi__calme-3.1-llamaloi-3b)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |24.01|
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|IFEval (0-Shot) |73.75|
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|BBH (3-Shot) |23.77|
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|MATH Lvl 5 (4-Shot)|16.77|
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|GPQA (0-shot) | 4.14|
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|MuSR (0-shot) | 1.11|
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|MMLU-PRO (5-shot) |24.50|
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