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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 +120 -3
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  ---
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- license: cc-by-nc-4.0
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- datasets:
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- - berkeley-nest/Nectar
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  language:
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  - en
 
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  library_name: transformers
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  tags:
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  - reward model
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  - RLHF
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  - RLAIF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Starling-LM-7B-alpha
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@@ -136,3 +239,17 @@ We would like to thank Wei-Lin Chiang from Berkeley for detailed feedback of the
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  year = {2023}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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  - en
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+ license: cc-by-nc-4.0
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  library_name: transformers
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  tags:
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  - reward model
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  - RLHF
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  - RLAIF
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+ datasets:
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+ - berkeley-nest/Nectar
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+ model-index:
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+ - name: Starling-LM-7B-alpha
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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: 63.82
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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=berkeley-nest/Starling-LM-7B-alpha
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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: 84.9
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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=berkeley-nest/Starling-LM-7B-alpha
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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: 64.67
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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=berkeley-nest/Starling-LM-7B-alpha
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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: 46.39
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=berkeley-nest/Starling-LM-7B-alpha
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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: 80.58
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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=berkeley-nest/Starling-LM-7B-alpha
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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: 62.4
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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=berkeley-nest/Starling-LM-7B-alpha
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+ name: Open LLM Leaderboard
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  ---
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  # Starling-LM-7B-alpha
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  year = {2023}
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  }
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  ```
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+
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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_berkeley-nest__Starling-LM-7B-alpha)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.13|
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+ |AI2 Reasoning Challenge (25-Shot)|63.82|
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+ |HellaSwag (10-Shot) |84.90|
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+ |MMLU (5-Shot) |64.67|
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+ |TruthfulQA (0-shot) |46.39|
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+ |Winogrande (5-shot) |80.58|
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+ |GSM8k (5-shot) |62.40|
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+