| 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: [] | |
| <!-- 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-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 | |