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--- |
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license: other |
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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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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: mistral-7b-mmlu-v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mistral-7b-mmlu-v1 |
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This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the medical_meadow_mmmlu dataset. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 1.0 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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### Performance |
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hf (pretrained=mistralai/Mistral-7B-v0.1,parallelize=True,load_in_4bit=True,peft=chenhugging/mistral-7b-mmlu-v1), gen_kwargs: (None), limit: 100.0, num_fewshot: None, batch_size: 1 |
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| Tasks |Version|Filter|n-shot| Metric |Value| |Stderr| |
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|---------------------|-------|------|-----:|--------|----:|---|-----:| |
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|pubmedqa | 1|none | 0|acc | 0.98|± |0.0141| |
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|medmcqa |Yaml |none | 0|acc | 0.47|± |0.0502| |
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|professional_medicine| 0|none | 0|acc | 0.79|± |0.0409| |
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|college_medicine | 0|none | 0|acc | 0.72|± |0.0451| |
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|clinical_knowledge | 0|none | 0|acc | 0.72|± |0.0451| |
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|aocnp |Yaml |none | 0|acc | 0.56|± |0.0499| |
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|ocn |Yaml |none | 0|acc | 0.66|± |0.0476| |
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