--- library_name: peft license: other base_model: mistralai/Mistral-7B-Instruct-v0.2 tags: - llama-factory - lora - generated_from_trainer model-index: - name: train_2025-01-06-18-43-03 results: [] --- # train_2025-01-06-18-43-03 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 followir_recreate_simple_1 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: 3e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 6 - gradient_accumulation_steps: 32 - total_train_batch_size: 768 - total_eval_batch_size: 48 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - num_epochs: 8.0 ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.46.1 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.3