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README.md
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---
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license: other
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library_name: transformers
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base_model:
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- mistralai/Mistral-Small-Instruct-2409
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datasets:
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- jondurbin/gutenberg-dpo-v0.1
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- nbeerbower/gutenberg2-dpo
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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model-index:
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- name: Mistral-Small-Drummer-22B
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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: 63.31
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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=nbeerbower/Mistral-Small-Drummer-22B
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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: 40.12
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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=nbeerbower/Mistral-Small-Drummer-22B
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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: 16.69
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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=nbeerbower/Mistral-Small-Drummer-22B
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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: 12.42
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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=nbeerbower/Mistral-Small-Drummer-22B
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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: 9.8
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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=nbeerbower/Mistral-Small-Drummer-22B
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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: 34.39
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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=nbeerbower/Mistral-Small-Drummer-22B
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name: Open LLM Leaderboard
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---
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### exl2 quant (measurement.json in main branch)
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---
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### check revisions for quants
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---
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![image/png](https://huggingface.co/nbeerbower/Mistral-Small-Drummer-22B/resolve/main/drummer.png?download=true)
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# Mistral-Small-Drummer-22B
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[mistralai/Mistral-Small-Instruct-2409](https://huggingface.co/mistralai/Mistral-Small-Instruct-2409) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) and [nbeerbower/gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo).
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### Method
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ORPO tuned with 2xA40 on RunPod for 1 epoch.
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```
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learning_rate=4e-6,
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lr_scheduler_type="linear",
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beta=0.1,
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per_device_train_batch_size=4,
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per_device_eval_batch_size=4,
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gradient_accumulation_steps=8,
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optim="paged_adamw_8bit",
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num_train_epochs=1,
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```
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Dataset was prepared using Mistral-Small Instruct format.
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[Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)
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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_nbeerbower__Mistral-Small-Drummer-22B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |29.45|
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|IFEval (0-Shot) |63.31|
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|BBH (3-Shot) |40.12|
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|MATH Lvl 5 (4-Shot)|16.69|
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|GPQA (0-shot) |12.42|
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|MuSR (0-shot) | 9.80|
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|MMLU-PRO (5-shot) |34.39|
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