Commit
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Parent(s):
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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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@@ -3,15 +3,133 @@ license: other
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license_name: yi-license
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license_link: LICENSE
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widget:
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pipeline_tag: text-generation
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---
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<div align="center">
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<p align="right"> [
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<a href="#top">Back to top ⬆️ </a> ]
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</p>
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license_name: yi-license
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license_link: LICENSE
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widget:
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- example_title: Yi-34B-Chat
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text: hi
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output:
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text: ' Hello! How can I assist you today?'
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- example_title: Yi-34B
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text: There's a place where time stands still. A place of breath taking wonder,
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but also
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output:
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text: ' an eerie sense that something is just not right…
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Between the two worlds lies The Forgotten Kingdom - home to creatures long since
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thought extinct and ancient magic so strong it defies belief! Only here can
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you find what has been lost for centuries: An Elixir Of Life which will restore
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youth and vitality if only those who seek its power are brave enough to face
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up against all manner of dangers lurking in this mysterious land! But beware;
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some say there may even exist powerful entities beyond our comprehension whose
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intentions towards humanity remain unclear at best ---- they might want nothing
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more than destruction itself rather then anything else from their quest after
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immortality (and maybe someone should tell them about modern medicine)? In any
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event though – one thing remains true regardless : whether or not success comes
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easy depends entirely upon how much effort we put into conquering whatever challenges
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lie ahead along with having faith deep down inside ourselves too ;) So let’s
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get started now shall We?'
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pipeline_tag: text-generation
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model-index:
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- name: Yi-34B-200K
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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: 65.36
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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=01-ai/Yi-34B-200K
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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: 85.58
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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=01-ai/Yi-34B-200K
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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: 76.06
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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=01-ai/Yi-34B-200K
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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: 53.64
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=01-ai/Yi-34B-200K
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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: 82.56
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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=01-ai/Yi-34B-200K
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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: 61.64
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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=01-ai/Yi-34B-200K
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name: Open LLM Leaderboard
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---
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<div align="center">
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<p align="right"> [
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<a href="#top">Back to top ⬆️ </a> ]
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</p>
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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_01-ai__Yi-34B-200K)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |70.81|
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|AI2 Reasoning Challenge (25-Shot)|65.36|
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|HellaSwag (10-Shot) |85.58|
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|MMLU (5-Shot) |76.06|
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|TruthfulQA (0-shot) |53.64|
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|Winogrande (5-shot) |82.56|
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|GSM8k (5-shot) |61.64|
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