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Kearm 10nates commited on
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Adding Evaluation Results (#3)

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- Adding Evaluation Results (7d7a94c31d94d3094f57236a95786c1fbf16ecf2)


Co-authored-by: Nathan Hedge <10nates@users.noreply.huggingface.co>

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  1. README.md +122 -6
README.md CHANGED
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  ---
 
 
 
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  license: other
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- license_name: tongyi-qianwen-research
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- license_link: >-
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- https://huggingface.co/Qwen/Qwen1.5-0.5B/blob/main/LICENSE
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  datasets:
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  - teknium/OpenHermes-2.5
 
 
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  pipeline_tag: text-generation
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- language:
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- - en
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- - zh
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/655dc641accde1bbc8b41aec/xOe1Nb3S9Nb53us7_Ja3s.jpeg)
@@ -72,3 +174,17 @@ If you find our work helpful, feel free to give us a cite.
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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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+ - zh
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  license: other
 
 
 
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  datasets:
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  - teknium/OpenHermes-2.5
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+ license_name: tongyi-qianwen-research
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+ license_link: https://huggingface.co/Qwen/Qwen1.5-0.5B/blob/main/LICENSE
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Qwen1.5-Wukong-0.5B
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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: 31.74
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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=RESMPDEV/Qwen1.5-Wukong-0.5B
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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: 47.78
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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=RESMPDEV/Qwen1.5-Wukong-0.5B
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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: 38.44
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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=RESMPDEV/Qwen1.5-Wukong-0.5B
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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: 38.92
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RESMPDEV/Qwen1.5-Wukong-0.5B
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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: 56.51
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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=RESMPDEV/Qwen1.5-Wukong-0.5B
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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: 15.54
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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=RESMPDEV/Qwen1.5-Wukong-0.5B
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+ name: Open LLM Leaderboard
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  ---
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/655dc641accde1bbc8b41aec/xOe1Nb3S9Nb53us7_Ja3s.jpeg)
 
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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_RESMPDEV__Qwen1.5-Wukong-0.5B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |38.15|
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+ |AI2 Reasoning Challenge (25-Shot)|31.74|
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+ |HellaSwag (10-Shot) |47.78|
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+ |MMLU (5-Shot) |38.44|
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+ |TruthfulQA (0-shot) |38.92|
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+ |Winogrande (5-shot) |56.51|
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+ |GSM8k (5-shot) |15.54|
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+