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Adding Evaluation Results (#4)
Browse files- Adding Evaluation Results (c338d3b8c88c1845bb66ca4cb4d55e194e324e48)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: cc-by-nc-4.0
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datasets:
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- berkeley-nest/Nectar
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language:
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- en
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library_name: transformers
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tags:
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- reward model
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- RLHF
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- RLAIF
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---
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# Starling-LM-7B-alpha
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@@ -137,3 +240,17 @@ We would like to thank Wei-Lin Chiang from Berkeley for detailed feedback of the
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year = {2023}
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}
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```
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---
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language:
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- en
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license: cc-by-nc-4.0
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library_name: transformers
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tags:
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- reward model
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- RLHF
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- RLAIF
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datasets:
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- berkeley-nest/Nectar
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model-index:
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- name: Starling-LM-11B-alpha
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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: 61.26
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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=CallComply/Starling-LM-11B-alpha
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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: 81.99
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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=CallComply/Starling-LM-11B-alpha
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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: 61.5
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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=CallComply/Starling-LM-11B-alpha
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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: 41.53
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/Starling-LM-11B-alpha
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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: 78.06
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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=CallComply/Starling-LM-11B-alpha
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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: 35.18
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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=CallComply/Starling-LM-11B-alpha
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name: Open LLM Leaderboard
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---
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# Starling-LM-7B-alpha
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year = {2023}
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}
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```
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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_CallComply__Starling-LM-11B-alpha)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |59.92|
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|AI2 Reasoning Challenge (25-Shot)|61.26|
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|HellaSwag (10-Shot) |81.99|
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|MMLU (5-Shot) |61.50|
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|TruthfulQA (0-shot) |41.53|
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|Winogrande (5-shot) |78.06|
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|GSM8k (5-shot) |35.18|
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