leaderboard-pr-bot
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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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---
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license: other
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license_name: yi-license
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license_link: LICENSE.md
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extra_gated_heading: Access beomi/Yi-Ko-6B on Hugging Face
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extra_gated_button_content: Submit
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extra_gated_fields:
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I agree to share my name, email address and username: checkbox
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I confirm that I understand this project is for research purposes only, and confirm
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- ko
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pipeline_tag: text-generation
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inference: false
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---
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> Update @ 2024.01.29 New Model [beomi/Yi-Ko-DUS-9B](https://huggingface.co/beomi/Yi-Ko-DUS-9B) Released! 🎉
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@@ -120,4 +225,17 @@ Please use this bibtex below:
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## Acknowledgement
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The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
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---
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language:
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- en
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- ko
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license: other
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library_name: transformers
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tags:
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- pytorch
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- Yi-Ko
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- 01-ai
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- Yi
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license_name: yi-license
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license_link: LICENSE.md
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extra_gated_heading: Access beomi/Yi-Ko-6B on Hugging Face
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extra_gated_button_content: Submit
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extra_gated_fields:
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I agree to share my name, email address and username: checkbox
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? I confirm that I understand this project is for research purposes only, and confirm
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that I agree to follow the LICENSE of this model
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: checkbox
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pipeline_tag: text-generation
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inference: false
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model-index:
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- name: Yi-Ko-6B
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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: 48.89
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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=beomi/Yi-Ko-6B
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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: 74.48
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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=beomi/Yi-Ko-6B
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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: 55.72
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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=beomi/Yi-Ko-6B
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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: 37.09
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
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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: 72.93
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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=beomi/Yi-Ko-6B
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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: 12.51
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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=beomi/Yi-Ko-6B
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name: Open LLM Leaderboard
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---
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> Update @ 2024.01.29 New Model [beomi/Yi-Ko-DUS-9B](https://huggingface.co/beomi/Yi-Ko-DUS-9B) Released! 🎉
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## Acknowledgement
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The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
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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_beomi__Yi-Ko-6B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |50.27|
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|AI2 Reasoning Challenge (25-Shot)|48.89|
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|HellaSwag (10-Shot) |74.48|
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|MMLU (5-Shot) |55.72|
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|TruthfulQA (0-shot) |37.09|
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|Winogrande (5-shot) |72.93|
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|GSM8k (5-shot) |12.51|
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