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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datasets:
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- c-s-ale/alpaca-gpt4-data
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- Open-Orca/OpenOrca
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- Intel/orca_dpo_pairs
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- allenai/ultrafeedback_binarized_cleaned
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---
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<p align="left">
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@@ -180,4 +283,17 @@ Please cite this model using this format.
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Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
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### **Contact Us** ###
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-
Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
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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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base_model:
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- upstage/SOLAR-10.7B-v1.0
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datasets:
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- c-s-ale/alpaca-gpt4-data
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- Open-Orca/OpenOrca
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- Intel/orca_dpo_pairs
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- allenai/ultrafeedback_binarized_cleaned
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model-index:
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- name: SOLAR-10.7B-Instruct-v1.0
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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: 71.08
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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=upstage/SOLAR-10.7B-Instruct-v1.0
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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: 88.16
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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=upstage/SOLAR-10.7B-Instruct-v1.0
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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: 66.21
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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=upstage/SOLAR-10.7B-Instruct-v1.0
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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: 71.43
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=upstage/SOLAR-10.7B-Instruct-v1.0
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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: 83.58
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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=upstage/SOLAR-10.7B-Instruct-v1.0
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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: 64.75
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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=upstage/SOLAR-10.7B-Instruct-v1.0
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name: Open LLM Leaderboard
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---
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<p align="left">
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Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
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### **Contact Us** ###
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Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
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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_upstage__SOLAR-10.7B-Instruct-v1.0)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.20|
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|AI2 Reasoning Challenge (25-Shot)|71.08|
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|HellaSwag (10-Shot) |88.16|
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|MMLU (5-Shot) |66.21|
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|TruthfulQA (0-shot) |71.43|
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|Winogrande (5-shot) |83.58|
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|GSM8k (5-shot) |64.75|
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