Adding Evaluation Results
#6
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -3,6 +3,109 @@ license: apache-2.0
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datasets:
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
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pipeline_tag: text-generation
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---
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Read our release blog here: [Snorkel AI Blog](https://snorkel.ai/new-benchmark-results-demonstrate-value-of-snorkel-ai-approach-to-llm-alignment/)
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@@ -118,4 +221,17 @@ Snorkel-Mistral-PairRM-DPO GGUF model version: from [andrew-cartwheel](https://h
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Thanks to the mentioned community members for providing the GGUF model versions.
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### The Snorkel AI Team
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-
Hoang Tran, Chris Glaze, Braden Hancock
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datasets:
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
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pipeline_tag: text-generation
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model-index:
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- name: Snorkel-Mistral-PairRM-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: 66.04
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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=snorkelai/Snorkel-Mistral-PairRM-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: 85.64
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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=snorkelai/Snorkel-Mistral-PairRM-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: 60.83
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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=snorkelai/Snorkel-Mistral-PairRM-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: 70.86
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=snorkelai/Snorkel-Mistral-PairRM-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: 77.74
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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=snorkelai/Snorkel-Mistral-PairRM-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: 36.77
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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=snorkelai/Snorkel-Mistral-PairRM-DPO
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name: Open LLM Leaderboard
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---
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Read our release blog here: [Snorkel AI Blog](https://snorkel.ai/new-benchmark-results-demonstrate-value-of-snorkel-ai-approach-to-llm-alignment/)
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Thanks to the mentioned community members for providing the GGUF model versions.
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### The Snorkel AI Team
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Hoang Tran, Chris Glaze, Braden Hancock
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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_snorkelai__Snorkel-Mistral-PairRM-DPO)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |66.31|
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|AI2 Reasoning Challenge (25-Shot)|66.04|
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|HellaSwag (10-Shot) |85.64|
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|MMLU (5-Shot) |60.83|
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|TruthfulQA (0-shot) |70.86|
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|Winogrande (5-shot) |77.74|
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|GSM8k (5-shot) |36.77|
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