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Adding Evaluation Results (#2)

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- Adding Evaluation Results (f85fa8930aadc5236da60170b3b5238ab5efac69)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +120 -4
README.md CHANGED
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  ---
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- library_name: transformers
 
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  license: other
 
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  datasets:
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  - teknium/OpenHermes-2.5
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  - LDJnr/Capybara
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  - Intel/orca_dpo_pairs
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  - argilla/distilabel-capybara-dpo-7k-binarized
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- language:
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- - en
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Quyen
@@ -60,4 +163,17 @@ model.generate(**gen_input)
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  # Acknowledgement
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  - We're incredibly grateful to **Tensoic** and **Ontocord** for their generous support with compute and data preparation.
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- - Special thanks to the Qwen team for letting us access the models early for these amazing finetunes.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: other
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+ library_name: transformers
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  datasets:
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  - teknium/OpenHermes-2.5
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  - LDJnr/Capybara
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  - Intel/orca_dpo_pairs
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  - argilla/distilabel-capybara-dpo-7k-binarized
 
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Quyen-Plus-v0.1
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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: 55.72
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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=vilm/Quyen-Plus-v0.1
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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: 78.52
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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=vilm/Quyen-Plus-v0.1
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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: 60.45
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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=vilm/Quyen-Plus-v0.1
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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: 53.6
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Quyen-Plus-v0.1
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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: 71.27
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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=vilm/Quyen-Plus-v0.1
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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: 60.05
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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=vilm/Quyen-Plus-v0.1
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+ name: Open LLM Leaderboard
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  ---
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  # Quyen
 
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  # Acknowledgement
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  - We're incredibly grateful to **Tensoic** and **Ontocord** for their generous support with compute and data preparation.
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+ - Special thanks to the Qwen team for letting us access the models early for these amazing finetunes.
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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_vilm__Quyen-Plus-v0.1)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |63.27|
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+ |AI2 Reasoning Challenge (25-Shot)|55.72|
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+ |HellaSwag (10-Shot) |78.52|
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+ |MMLU (5-Shot) |60.45|
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+ |TruthfulQA (0-shot) |53.60|
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+ |Winogrande (5-shot) |71.27|
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+ |GSM8k (5-shot) |60.05|
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+