Transformers
Eval Results
Inference Endpoints
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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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+
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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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+
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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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+
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+ ### Method
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+
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+ ORPO tuned with 2xA40 on RunPod for 1 epoch.
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+
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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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+
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+ Dataset was prepared using Mistral-Small Instruct format.
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+
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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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+
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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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+