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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 +122 -6
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  ---
 
 
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  license: mit
 
 
 
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  datasets:
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  - glaiveai/glaive-code-assistant-v2
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  - TokenBender/code_instructions_122k_alpaca_style
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- language:
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- - en
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  metrics:
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  - code_eval
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  pipeline_tag: text-generation
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- tags:
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- - code
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- - text-generation-inference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <p align="center">
@@ -92,4 +195,17 @@ def generate_one_completion(prompt: str):
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  CodeNinja is licensed under the MIT License, with model usage subject to the Model License.
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  ## Contact
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- For queries or support, please open an issue in the repository.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: mit
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+ tags:
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+ - code
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+ - text-generation-inference
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  datasets:
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  - glaiveai/glaive-code-assistant-v2
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  - TokenBender/code_instructions_122k_alpaca_style
 
 
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  metrics:
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  - code_eval
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: CodeNinja-1.0-OpenChat-7B
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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: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 63.48
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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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: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 83.65
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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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 (5-Shot)
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+ type: cais/mmlu
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+ config: all
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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: 63.77
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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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: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 47.16
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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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: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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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: 79.79
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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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: GSM8k (5-shot)
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+ type: gsm8k
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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: 66.57
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beowolx/CodeNinja-1.0-OpenChat-7B
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+ name: Open LLM Leaderboard
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  ---
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  <p align="center">
 
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  CodeNinja is licensed under the MIT License, with model usage subject to the Model License.
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  ## Contact
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+ For queries or support, please open an issue in the repository.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_beowolx__CodeNinja-1.0-OpenChat-7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.40|
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+ |AI2 Reasoning Challenge (25-Shot)|63.48|
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+ |HellaSwag (10-Shot) |83.65|
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+ |MMLU (5-Shot) |63.77|
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+ |TruthfulQA (0-shot) |47.16|
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+ |Winogrande (5-shot) |79.79|
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+ |GSM8k (5-shot) |66.57|
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+