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 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
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Base model
mistralai/Mixtral-8x7B-v0.1