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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license: apache-2.0
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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tags:
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- llama-factory
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- lora
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- not-for-all-audiences
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- nsfw
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datasets:
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---
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Fine-tuning of ‘Llama-3.1-8B’ with a focus on RP and uncensored.
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- To get an idea of the data portions: `Lumimaid-v2`: 50% (600MB); `psy_mental_health`: 30%; `faproulette_co-OCR-fix-gpt4o_qa_fixer`: 5%.
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</details>
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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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library_name: peft
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tags:
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- llama-factory
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- lora
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- not-for-all-audiences
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- nsfw
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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datasets:
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- Nekochu/Luminia-mixture
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- UnfilteredAI/DAN
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- mpingale/mental-health-chat-dataset
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- Amod/mental_health_counseling_conversations
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- heliosbrahma/mental_health_chatbot_dataset
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- victunes/nart-100k-synthetic-buddy-mixed-names
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- Falah/Mental_health_dataset4Fine_Tuning
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- EmoCareAI/Psych8k
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- samhog/psychology-10k
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- Doctor-Shotgun/no-robots-sharegpt
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- Gryphe/Opus-WritingPrompts
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- NobodyExistsOnTheInternet/ToxicQAFinal
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- meseca/opus-instruct-9k
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- PJMixers/grimulkan_theory-of-mind-ShareGPT
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- CapybaraPure/Decontaminated-ShareGPT
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- MinervaAI/Aesir-Preview
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- Epiculous/Gnosis
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- Norquinal/claude_multiround_chat_30k
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- Locutusque/hercules-v5.0
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- G-reen/Duet-v0.5
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- cgato/SlimOrcaDedupCleaned
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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- ChaoticNeutrals/Synthetic-Dark-RP
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- ChaoticNeutrals/Synthetic-RP
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- ChaoticNeutrals/Luminous_Opus
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- kalomaze/Opus_Instruct_25k
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model-index:
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- name: Luminia-8B-RP
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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: 55.74
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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=Nekochu/Luminia-8B-RP
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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: 31.8
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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=Nekochu/Luminia-8B-RP
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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: 11.71
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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=Nekochu/Luminia-8B-RP
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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: 6.26
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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=Nekochu/Luminia-8B-RP
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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: 11.07
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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=Nekochu/Luminia-8B-RP
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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: 29.24
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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=Nekochu/Luminia-8B-RP
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name: Open LLM Leaderboard
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---
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Fine-tuning of ‘Llama-3.1-8B’ with a focus on RP and uncensored.
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- To get an idea of the data portions: `Lumimaid-v2`: 50% (600MB); `psy_mental_health`: 30%; `faproulette_co-OCR-fix-gpt4o_qa_fixer`: 5%.
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</details>
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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_Nekochu__Luminia-8B-RP)
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| Metric |Value|
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|Avg. |24.30|
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|IFEval (0-Shot) |55.74|
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|BBH (3-Shot) |31.80|
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|MATH Lvl 5 (4-Shot)|11.71|
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|GPQA (0-shot) | 6.26|
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|MuSR (0-shot) |11.07|
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|MMLU-PRO (5-shot) |29.24|
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