license: other | |
library_name: peft | |
tags: | |
- llama-factory | |
- lora | |
- generated_from_trainer | |
base_model: mistralai/Mistral-7B-v0.1 | |
model-index: | |
- name: mistral-7b-ocn-v2 | |
results: [] | |
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# mistral-7b-ocn-v2 | |
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the oncc_medqa_instruct 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: 10 | |
- 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 | |