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README.md
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---
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license: apache-2.0
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model-index:
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results:
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value:
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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type: text-generation
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dataset:
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name: "hellaswag"
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type: "hellaswag"
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metrics:
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- name: HellaSwag (10-shot)
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type: HellaSwag (10-shot)
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value: 54.3921
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value:
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value: 54.3921
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value:
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value:
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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- task:
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type: text-generation
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dataset:
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name:
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type:
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metrics:
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value:
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/
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---
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---
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license: apache-2.0
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model-index:
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- name: metadata-test
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results:
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# AI2 Reasoning Challenge (25-Shot)
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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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name: normalized accuracy
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value: 0.6203071672354948
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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# HellaSwag (10-shot)
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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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name: normalized accuracy
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value: 0.8435570603465445
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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# TruthfulQA (0-shot)
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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: 0.5744916942762855
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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# GSM8k (5-shot)
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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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name: accuracy
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value: 0.12736921910538287
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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# MMLU (5-Shot)
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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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name: accuracy
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value: 0.6107
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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# Winogrande (5-shot)
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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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name: accuracy
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value: 0.7774269928966061
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/datasets/open-llm-leaderboard/details_
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---
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