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Adding Evaluation Results

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This 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

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README.md CHANGED
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  ---
 
 
 
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  license: apache-2.0
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  datasets:
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  - Azure99/blossom-chat-v3
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  - Azure99/blossom-math-v4
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  - Azure99/blossom-wizard-v3
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  - Azure99/blossom-orca-v3
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- language:
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- - zh
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- - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # **BLOSSOM-v5-llama3-8b**
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@@ -45,4 +140,17 @@ A chat between a human and an artificial intelligence bot. The bot gives helpful
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  |Bot|:
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  ```
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- Note: At the end of the Bot's output in the historical conversation, append a `<|end_of_text|>`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - zh
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+ - en
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  license: apache-2.0
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  datasets:
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  - Azure99/blossom-chat-v3
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  - Azure99/blossom-math-v4
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  - Azure99/blossom-wizard-v3
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  - Azure99/blossom-orca-v3
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+ model-index:
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+ - name: blossom-v5-llama3-8b
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 43.43
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 18.31
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 4.0
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 2.01
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 5.31
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 13.4
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Azure99/blossom-v5-llama3-8b
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+ name: Open LLM Leaderboard
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  ---
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  # **BLOSSOM-v5-llama3-8b**
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  |Bot|:
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  ```
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+ Note: At the end of the Bot's output in the historical conversation, append a `<|end_of_text|>`.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azure99__blossom-v5-llama3-8b)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |14.41|
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+ |IFEval (0-Shot) |43.43|
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+ |BBH (3-Shot) |18.31|
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+ |MATH Lvl 5 (4-Shot)| 4.00|
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+ |GPQA (0-shot) | 2.01|
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+ |MuSR (0-shot) | 5.31|
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+ |MMLU-PRO (5-shot) |13.40|
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+