Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
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---
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library_name: transformers
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license: llama3
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base_model:
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- nbeerbower/llama-3-Stheno-Mahou-8B
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datasets:
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- flammenai/FlameMix-DPO-v1
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- flammenai/Grill-preprod-v1_chatML
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- flammenai/Grill-preprod-v2_chatML
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---
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![image/png](https://huggingface.co/flammenai/Mahou-1.0-mistral-7B/resolve/main/mahou1.png)
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@@ -111,4 +206,17 @@ dpo_trainer = DPOTrainer(
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# Fine-tune model with DPO
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dpo_trainer.train()
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```
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---
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license: llama3
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+
library_name: transformers
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base_model:
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- nbeerbower/llama-3-Stheno-Mahou-8B
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datasets:
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- flammenai/FlameMix-DPO-v1
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- flammenai/Grill-preprod-v1_chatML
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- flammenai/Grill-preprod-v2_chatML
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model-index:
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- name: Mahou-1.2a-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: 50.93
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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=flammenai/Mahou-1.2a-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: 28.97
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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=flammenai/Mahou-1.2a-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: 7.55
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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=flammenai/Mahou-1.2a-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: 5.15
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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=flammenai/Mahou-1.2a-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: 6.02
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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=flammenai/Mahou-1.2a-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: 31.3
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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=flammenai/Mahou-1.2a-llama3-8B
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name: Open LLM Leaderboard
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---
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![image/png](https://huggingface.co/flammenai/Mahou-1.0-mistral-7B/resolve/main/mahou1.png)
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# Fine-tune model with DPO
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dpo_trainer.train()
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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_flammenai__Mahou-1.2a-llama3-8B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |21.65|
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|IFEval (0-Shot) |50.93|
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|BBH (3-Shot) |28.97|
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|MATH Lvl 5 (4-Shot)| 7.55|
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|GPQA (0-shot) | 5.15|
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|MuSR (0-shot) | 6.02|
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|MMLU-PRO (5-shot) |31.30|
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