--- base_model: meta-llama/Llama-3.2-3B library_name: peft license: llama3.2 tags: - trl - sft - generated_from_trainer model-index: - name: results results: [] --- # results This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) 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: 0.0002 - 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: constant - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.13.2 - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.2 - Tokenizers 0.19.1