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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 -4
README.md CHANGED
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  ---
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  language:
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  - en
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- base_model: meta-llama/Meta-Llama-3-8B-Instruct
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- pipeline_tag: text-generation
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  tags:
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  - facebook
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  - meta
@@ -11,9 +10,113 @@ tags:
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  - llama-3
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  - moe
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  - code
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- license: other
 
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  license_name: llama3
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  license_link: LICENSE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -137,4 +240,17 @@ If you'd like to discuss potential collaborations or applications, feel free to
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  **Meta Llama 3 is
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  licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights
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- Reserved.**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - en
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+ license: other
 
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  tags:
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  - facebook
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  - meta
 
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  - llama-3
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  - moe
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  - code
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ pipeline_tag: text-generation
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  license_name: llama3
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  license_link: LICENSE
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+ model-index:
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+ - name: Llama-3-Aplite-Instruct-4x8B-MoE
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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: 61.86
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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=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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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: 81.08
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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=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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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: 67.47
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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=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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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: 51.87
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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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: 77.82
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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=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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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: 61.87
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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=raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE
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+ name: Open LLM Leaderboard
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  ---
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  **Meta Llama 3 is
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  licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights
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+ Reserved.**
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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_raincandy-u__Llama-3-Aplite-Instruct-4x8B-MoE)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |66.99|
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+ |AI2 Reasoning Challenge (25-Shot)|61.86|
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+ |HellaSwag (10-Shot) |81.08|
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+ |MMLU (5-Shot) |67.47|
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+ |TruthfulQA (0-shot) |51.87|
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+ |Winogrande (5-shot) |77.82|
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+ |GSM8k (5-shot) |61.87|
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+