Text Generation
Transformers
PyTorch
Safetensors
Japanese
English
llama
Eval Results
text-generation-inference
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Adding Evaluation Results (#2)

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- Adding Evaluation Results (6eb818e5b475a356289498b394b9425ad4250f2d)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  ---
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- thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
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- license: llama2
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  language:
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  - ja
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  - en
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- inference: false
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  datasets:
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  - databricks/databricks-dolly-15k
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  - kunishou/databricks-dolly-15k-ja
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  - izumi-lab/llm-japanese-dataset
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # `rinna/youri-7b-chat`
@@ -176,4 +279,17 @@ The model uses the original llama-2 tokenizer.
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  ---
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  # License
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- [The llama2 license](https://ai.meta.com/llama/license/)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
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  language:
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  - ja
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  - en
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+ license: llama2
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  datasets:
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  - databricks/databricks-dolly-15k
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  - kunishou/databricks-dolly-15k-ja
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  - izumi-lab/llm-japanese-dataset
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+ thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
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+ inference: false
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+ model-index:
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+ - name: youri-7b-chat
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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: 51.19
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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=rinna/youri-7b-chat
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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: 76.09
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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=rinna/youri-7b-chat
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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: 46.06
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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=rinna/youri-7b-chat
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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: 41.17
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b-chat
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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: 75.06
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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=rinna/youri-7b-chat
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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: 1.52
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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=rinna/youri-7b-chat
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+ name: Open LLM Leaderboard
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  ---
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  # `rinna/youri-7b-chat`
 
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  ---
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  # License
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+ [The llama2 license](https://ai.meta.com/llama/license/)
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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_rinna__youri-7b-chat)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |48.51|
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+ |AI2 Reasoning Challenge (25-Shot)|51.19|
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+ |HellaSwag (10-Shot) |76.09|
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+ |MMLU (5-Shot) |46.06|
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+ |TruthfulQA (0-shot) |41.17|
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+ |Winogrande (5-shot) |75.06|
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+ |GSM8k (5-shot) | 1.52|
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+