Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -6,6 +6,109 @@ base_model:
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- CorticalStack/pastiche-crown-clown-7b-dare
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dataset:
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- jondurbin/truthy-dpo-v0.1
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---
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# CorticalStack/pastiche-crown-clown-7b-dare-dpo
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@@ -26,4 +129,17 @@ CorticalStack/pastiche-crown-clown-7b-dare-dpo is a DPO fine-tuned version of [C
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- Learning rate scheduler type: cosine
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- Beta: 0.1
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- Max prompt length: 1024
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- Max length: 1536
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- CorticalStack/pastiche-crown-clown-7b-dare
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dataset:
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- jondurbin/truthy-dpo-v0.1
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model-index:
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- name: pastiche-crown-clown-7b-dare-dpo
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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: 72.78
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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=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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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: 89.15
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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=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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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: 64.51
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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=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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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: 78.8
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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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: 84.85
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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=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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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: 68.92
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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=CorticalStack/pastiche-crown-clown-7b-dare-dpo
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name: Open LLM Leaderboard
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---
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# CorticalStack/pastiche-crown-clown-7b-dare-dpo
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- Learning rate scheduler type: cosine
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- Beta: 0.1
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- Max prompt length: 1024
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- Max length: 1536
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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_CorticalStack__pastiche-crown-clown-7b-dare-dpo)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |76.50|
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|AI2 Reasoning Challenge (25-Shot)|72.78|
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|HellaSwag (10-Shot) |89.15|
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|MMLU (5-Shot) |64.51|
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|TruthfulQA (0-shot) |78.80|
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|Winogrande (5-shot) |84.85|
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|GSM8k (5-shot) |68.92|
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