VAIBHAV22334455
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Update README.md
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README.md
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@@ -29,7 +29,8 @@ model-index:
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value: 32.08
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name: normalized accuracy
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source:
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url:
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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: 56.86
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name: normalized accuracy
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source:
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url:
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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: 27.15
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name: accuracy
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source:
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name: Open LLM Leaderboard
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type: text-generation
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- type: mc2
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value: 37.33
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 60.14
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name: accuracy
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 1.14
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name: accuracy
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source:
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name: Open LLM Leaderboard
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---
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# Model Card for Model ID
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@@ -212,5 +218,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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|MMLU (5-Shot) |27.15|
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|TruthfulQA (0-shot) |37.33|
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|Winogrande (5-shot) |60.14|
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|GSM8k (5-shot) | 1.14|
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value: 32.08
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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=VAIBHAV22334455/JARVIS
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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: 56.86
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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=VAIBHAV22334455/JARVIS
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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: 27.15
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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=VAIBHAV22334455/JARVIS
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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: 37.33
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VAIBHAV22334455/JARVIS
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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: 60.14
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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=VAIBHAV22334455/JARVIS
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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: 1.14
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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=VAIBHAV22334455/JARVIS
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name: Open LLM Leaderboard
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---
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# Model Card for Model ID
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|MMLU (5-Shot) |27.15|
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|TruthfulQA (0-shot) |37.33|
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|Winogrande (5-shot) |60.14|
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|GSM8k (5-shot) | 1.14|
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