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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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  ---
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  license: cc-by-sa-3.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This is a Subject Matter Expert (SME) bot trained on the Palworld Fandom Wiki as a test of a new SME model pipeline. There's no RAG. All information is embedded in the model. It uses the OpenOrca-Platypus-13b fine-tune as a base.
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@@ -9,3 +112,17 @@ All SME bots are generally useful, but focus on a topic. [Contact me](https://ww
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b60d61c9498843fb8e14fd/dskvC4Pb7ZGbVX5RxnkGU.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-sa-3.0
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+ model-index:
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+ - name: Palworld-SME-13b
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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: 55.55
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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=ericpolewski/Palworld-SME-13b
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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: 80.81
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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=ericpolewski/Palworld-SME-13b
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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: 53.64
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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=ericpolewski/Palworld-SME-13b
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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: 46.67
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/Palworld-SME-13b
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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: 74.82
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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=ericpolewski/Palworld-SME-13b
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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: 2.2
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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=ericpolewski/Palworld-SME-13b
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+ name: Open LLM Leaderboard
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  ---
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  This is a Subject Matter Expert (SME) bot trained on the Palworld Fandom Wiki as a test of a new SME model pipeline. There's no RAG. All information is embedded in the model. It uses the OpenOrca-Platypus-13b fine-tune as a base.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b60d61c9498843fb8e14fd/dskvC4Pb7ZGbVX5RxnkGU.png)
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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_ericpolewski__Palworld-SME-13b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |52.28|
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+ |AI2 Reasoning Challenge (25-Shot)|55.55|
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+ |HellaSwag (10-Shot) |80.81|
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+ |MMLU (5-Shot) |53.64|
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+ |TruthfulQA (0-shot) |46.67|
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+ |Winogrande (5-shot) |74.82|
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+ |GSM8k (5-shot) | 2.20|
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+