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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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datasets:
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- Open-Orca/SlimOrca-Dedup
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- teknium/openhermes
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- LeoLM/OpenSchnabeltier
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- bjoernp/ultrachat_de
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- LDJnr/Capybara
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language:
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- en
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- de
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library_name: transformers
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pipeline_tag: text-generation
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license: llama2
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model_creator: DiscoResearch
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model_type: llama
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---
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@@ -183,4 +286,17 @@ We are standing on the shoulders of giants; many thanks in no particular order t
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## Disclaimer
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The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
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-
This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.
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---
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language:
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- en
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- de
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license: llama2
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library_name: transformers
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tags:
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- goliath
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- deutsch
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- llama2
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- discoresearch
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datasets:
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- Open-Orca/SlimOrca-Dedup
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- teknium/openhermes
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- LeoLM/OpenSchnabeltier
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- bjoernp/ultrachat_de
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- LDJnr/Capybara
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pipeline_tag: text-generation
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model_creator: DiscoResearch
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model_type: llama
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model-index:
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- name: DiscoLM-70b
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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: 68.77
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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=DiscoResearch/DiscoLM-70b
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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: 86.1
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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=DiscoResearch/DiscoLM-70b
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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: 68.58
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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=DiscoResearch/DiscoLM-70b
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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: 57.64
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DiscoResearch/DiscoLM-70b
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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=DiscoResearch/DiscoLM-70b
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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: 63.53
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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=DiscoResearch/DiscoLM-70b
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name: Open LLM Leaderboard
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---
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## Disclaimer
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The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
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This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.
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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_DiscoResearch__DiscoLM-70b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |71.37|
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|AI2 Reasoning Challenge (25-Shot)|68.77|
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|HellaSwag (10-Shot) |86.10|
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|MMLU (5-Shot) |68.58|
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|TruthfulQA (0-shot) |57.64|
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|Winogrande (5-shot) |83.58|
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|GSM8k (5-shot) |63.53|
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