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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +118 -10
README.md CHANGED
@@ -1,11 +1,9 @@
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  ---
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- license: other
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- license_name: qwen-research
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- license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
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  language:
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  - fr
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  - en
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- pipeline_tag: text-generation
 
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  tags:
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  - chat
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  - qwen
@@ -13,15 +11,112 @@ tags:
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  - finetune
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  - french
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  - english
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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: Qwen/Qwen2.5-3B
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- model_name: calme-3.3-instruct-3b
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  datasets:
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  - MaziyarPanahi/french_instruct_sharegpt
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  - arcee-ai/EvolKit-20k
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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'"/>
@@ -87,4 +182,17 @@ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.3-instruct-3
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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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  ---
 
 
 
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  language:
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  - fr
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  - en
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+ license: other
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+ library_name: transformers
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  tags:
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  - chat
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  - qwen
 
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  - finetune
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  - french
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  - english
 
 
 
 
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  base_model: Qwen/Qwen2.5-3B
 
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  datasets:
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  - MaziyarPanahi/french_instruct_sharegpt
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  - arcee-ai/EvolKit-20k
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+ model_name: calme-3.3-instruct-3b
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+ license_name: qwen-research
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
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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-3.3-instruct-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: 64.23
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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-3.3-instruct-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: 25.68
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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-3.3-instruct-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: 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=MaziyarPanahi/calme-3.3-instruct-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: 4.36
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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-3.3-instruct-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: 9.4
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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=MaziyarPanahi/calme-3.3-instruct-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: 25.62
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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-3.3-instruct-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-3.3-instruct-3b)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |21.55|
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+ |IFEval (0-Shot) |64.23|
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+ |BBH (3-Shot) |25.68|
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+ |MATH Lvl 5 (4-Shot)| 0.00|
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+ |GPQA (0-shot) | 4.36|
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+ |MuSR (0-shot) | 9.40|
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+ |MMLU-PRO (5-shot) |25.62|
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+