leaderboard-pr-bot
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Adding Evaluation Results
Browse filesThis 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
README.md
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---
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-
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tags:
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- instruct
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- finetune
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- chatml
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- axolotl
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- roleplay
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-
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-
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---
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![image/png](Pantheon.png)
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# Pantheon-RP-1.6-12b-Nemo-KTO
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@@ -152,4 +247,17 @@ I have the following improvements on my todo list;
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- Anyone I forgot to mention, just in case!
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## Finally
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-
If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?
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---
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language:
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- en
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license: apache-2.0
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tags:
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- instruct
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- finetune
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- chatml
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- axolotl
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- roleplay
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base_model: mistralai/Mistral-Nemo-Base-2407
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model-index:
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- name: Pantheon-RP-1.6-12b-Nemo-KTO
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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: 46.36
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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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: 33.03
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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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: 3.85
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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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: 6.04
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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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: 12.17
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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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: 26.46
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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=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
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name: Open LLM Leaderboard
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---
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![image/png](Pantheon.png)
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# Pantheon-RP-1.6-12b-Nemo-KTO
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- Anyone I forgot to mention, just in case!
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## Finally
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If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?
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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_Gryphe__Pantheon-RP-1.6-12b-Nemo-KTO)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |21.32|
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|IFEval (0-Shot) |46.36|
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|BBH (3-Shot) |33.03|
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|MATH Lvl 5 (4-Shot)| 3.85|
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|GPQA (0-shot) | 6.04|
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|MuSR (0-shot) |12.17|
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|MMLU-PRO (5-shot) |26.46|
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