---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7b-mmlu-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mistral-7b-mmlu-v1

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the medical_meadow_mmmlu dataset.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1.0
- mixed_precision_training: Native AMP


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

### Performance

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
|        Tasks        |Version|Filter|n-shot| Metric |Value|   |Stderr|
|---------------------|-------|------|-----:|--------|----:|---|-----:|
|pubmedqa             |      1|none  |     0|acc     | 0.98|±  |0.0141|
|medmcqa              |Yaml   |none  |     0|acc     | 0.47|±  |0.0502|
|professional_medicine|      0|none  |     0|acc     | 0.79|±  |0.0409|
|college_medicine     |      0|none  |     0|acc     | 0.72|±  |0.0451|
|clinical_knowledge   |      0|none  |     0|acc     | 0.72|±  |0.0451|
|aocnp                |Yaml   |none  |     0|acc     | 0.56|±  |0.0499|
|ocn                  |Yaml   |none  |     0|acc     | 0.66|±  |0.0476|