Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
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---
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license: mit
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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language:
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- en
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tags:
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- ORPO
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---
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Barcenas-14b-Phi-3-medium-ORPO
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@@ -13,4 +108,17 @@ Model trained with the innovative ORPO method, based on the robust VAGOsolutions
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The model was trained with the dataset: mlabonne/orpo-dpo-mix-40k, which combines diverse data sources to enhance conversational capabilities and contextual understanding.
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Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
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---
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language:
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- en
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license: mit
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tags:
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- ORPO
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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model-index:
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- name: Barcenas-14b-Phi-3-medium-ORPO
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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: 47.99
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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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: 51.03
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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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: 17.45
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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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: 10.18
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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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: 20.53
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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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: 41.37
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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=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
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name: Open LLM Leaderboard
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---
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Barcenas-14b-Phi-3-medium-ORPO
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The model was trained with the dataset: mlabonne/orpo-dpo-mix-40k, which combines diverse data sources to enhance conversational capabilities and contextual understanding.
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Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
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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_Danielbrdz__Barcenas-14b-Phi-3-medium-ORPO)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |31.42|
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|IFEval (0-Shot) |47.99|
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|BBH (3-Shot) |51.03|
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|MATH Lvl 5 (4-Shot)|17.45|
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|GPQA (0-shot) |10.18|
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|MuSR (0-shot) |20.53|
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|MMLU-PRO (5-shot) |41.37|
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