Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
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---
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base_model:
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- MaziyarPanahi/calme-2.4-rys-78b
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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library_name: transformers
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license: mit
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language:
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- en
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tags:
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- orpo
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- qwen2
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- sft
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- chatml
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inference: false
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model_creator: dfurman
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quantized_by: dfurman
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---
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@@ -186,3 +281,17 @@ Another variation is to use a spicy syrup. To make this, combine equal parts wat
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As always, adjust the quantity of jalapeño or the type of chili used to suit your taste. Enjoy responsibly!
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```
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---
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language:
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- en
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license: mit
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library_name: transformers
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tags:
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- orpo
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- qwen2
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- sft
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- chatml
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+
base_model:
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- MaziyarPanahi/calme-2.4-rys-78b
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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pipeline_tag: text-generation
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inference: false
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model_creator: dfurman
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quantized_by: dfurman
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model-index:
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- name: CalmeRys-78B-Orpo-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: 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: 81.63
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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=dfurman/CalmeRys-78B-Orpo-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: 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: 61.92
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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=dfurman/CalmeRys-78B-Orpo-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: 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: 37.92
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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=dfurman/CalmeRys-78B-Orpo-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: 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: 20.02
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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=dfurman/CalmeRys-78B-Orpo-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: 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: 36.37
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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=dfurman/CalmeRys-78B-Orpo-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-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: 66.8
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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name: Open LLM Leaderboard
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---
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As always, adjust the quantity of jalapeño or the type of chili used to suit your taste. Enjoy responsibly!
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```
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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_dfurman__CalmeRys-78B-Orpo-v0.1)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |50.78|
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|IFEval (0-Shot) |81.63|
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|BBH (3-Shot) |61.92|
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|MATH Lvl 5 (4-Shot)|37.92|
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|GPQA (0-shot) |20.02|
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|MuSR (0-shot) |36.37|
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|MMLU-PRO (5-shot) |66.80|
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