Adding Evaluation Results
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leaderboard-pr-bot
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README.md
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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model-index:
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- name: sethuiyer/CodeCalc-Mistral-7B
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results:
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value: 61.95
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name: normalized accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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value: 83.64
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name: normalized accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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value: 62.78
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name: accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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- type: mc2
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value: 47.49
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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value: 78.3
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name: accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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value: 63.53
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name: accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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language:
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- en
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pipeline_tag: text-generation
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---
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# CodeCalc-Mistral-7B
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top_k: 49
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```
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- uukuguy/speechless-code-mistral-7b-v1.0
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- upaya07/Arithmo2-Mistral-7B
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pipeline_tag: text-generation
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model-index:
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- name: sethuiyer/CodeCalc-Mistral-7B
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results:
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value: 61.95
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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=sethuiyer/CodeCalc-Mistral-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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value: 83.64
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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=sethuiyer/CodeCalc-Mistral-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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value: 62.78
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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=sethuiyer/CodeCalc-Mistral-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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- type: mc2
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value: 47.49
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-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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value: 78.3
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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=sethuiyer/CodeCalc-Mistral-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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value: 63.53
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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=sethuiyer/CodeCalc-Mistral-7B
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name: Open LLM Leaderboard
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---
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# CodeCalc-Mistral-7B
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top_k: 49
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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_sethuiyer__CodeCalc-Mistral-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |66.33|
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|AI2 Reasoning Challenge (25-Shot)|61.95|
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|HellaSwag (10-Shot) |83.64|
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|MMLU (5-Shot) |62.78|
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|TruthfulQA (0-shot) |47.79|
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|Winogrande (5-shot) |78.30|
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|GSM8k (5-shot) |63.53|
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