--- license: apache-2.0 base_model: mistralai/Mistral-7B-Instruct-v0.2 tags: - generated_from_trainer model-index: - name: Mistral-7B-Instruct-v0.2-baseline results: [] library_name: peft --- # Mistral-7B-Instruct-v0.2-baseline This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0003 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.5.0 - Transformers 4.38.1 - Pytorch 2.1.2+cu121 - Datasets 2.14.7 - Tokenizers 0.15.0