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README.md
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@@ -28,16 +28,9 @@ model-index:
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args:
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num_few_shot: 25
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metrics:
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- type: acc
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name: accuracy
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value: 0.590443686006826
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- type: acc_stderr
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value: 0.014370358632472437
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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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- type: acc_norm_stderr
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value: 0.01418211986697487
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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_HuggingFaceH4__zephyr-7b-beta_public
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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:
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split:
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args:
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num_few_shot: 10
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metrics:
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- type: acc
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name: accuracy
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value: 0.6491734714200359
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- type: acc_stderr
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value: 0.004762534245488399
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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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- type: acc_norm_stderr
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value: 0.003625323221166244
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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_HuggingFaceH4__zephyr-7b-beta_public
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dataset:
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name: Drop (3-Shot)
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type: drop
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split:
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args:
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num_few_shot: 3
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metrics:
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- type: em
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name: exact match
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value: 0.004928691275167785
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- type: em_stderr
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value: 0.0007171872517059793
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- type: f1
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name: f1 score
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value: 0.09662437080536909
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- type: f1_stderr
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value: 0.0018807376338089597
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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_HuggingFaceH4__zephyr-7b-beta_public
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args:
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num_few_shot: 0
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metrics:
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- type: mc1
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value: 0.40636474908200737
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- type: mc1_stderr
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value: 0.017193835812093893
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- type: mc2
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value: 0.5744916942762855
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- type: mc2_stderr
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value: 0.015742095840959796
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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_HuggingFaceH4__zephyr-7b-beta_public
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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split: test
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args:
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num_few_shot: 5
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- type: acc
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name: accuracy
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value: 0.12736921910538287
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- type: acc_stderr
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value: 0.009183110326737829
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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_HuggingFaceH4__zephyr-7b-beta_public
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# MMLU (5-Shot)
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# AlpacaEval (taken from model card)
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- task:
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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_HuggingFaceH4__zephyr-7b-beta_public
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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_HuggingFaceH4__zephyr-7b-beta_public
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dataset:
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name: Drop (3-Shot)
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type: drop
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split: validation
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args:
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num_few_shot: 3
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metrics:
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- type: f1
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name: f1 score
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value: 0.09662437080536909
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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_HuggingFaceH4__zephyr-7b-beta_public
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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_HuggingFaceH4__zephyr-7b-beta_public
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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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- 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_HuggingFaceH4__zephyr-7b-beta_public
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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: 0.12736921910538287
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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_HuggingFaceH4__zephyr-7b-beta_public
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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_HuggingFaceH4__zephyr-7b-beta_public
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# AlpacaEval (taken from model card)
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- task:
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