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# Mixtral_8x7b_WuKurtz
Model is fine-tuned from the nephrology 80k dataset that we curated, injected into mixtral 8x7b instruct. 
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.

## Model description
Mixtral 8x7b WuKurtz was created by Sean Wu, Michael Koo, Andy Black, Lesley Blum, Fabien Scalzo, and Ira Kurtz at Pepperdine and UCLA. 
Arxiv paper out soon!
## Intended uses & limitations

More information needed

## Training and evaluation data

Training data out soon!
## Training procedure
Parameter efficient fine tuning.
### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.8.1
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "Mixtral_8x7b_WuKurtz", "results": []}]}
peft tensorboard safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mixtral-8x7B-v0.1 license:apache-2.0 region:us