--- base_model: meta-llama/Llama-3.2-3B-Instruct library_name: peft license: llama3.2 tags: - trl - sft - generated_from_trainer model-index: - name: model results: [] --- # model This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.9184 ## 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: 0.0001 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - training_steps: 3000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 3.1421 | 0.5330 | 500 | 2.8658 | | 2.8251 | 1.0661 | 1000 | 2.8294 | | 2.6508 | 1.5991 | 1500 | 2.8203 | | 2.5872 | 2.1322 | 2000 | 2.8783 | | 2.4264 | 2.6652 | 2500 | 2.8816 | | 2.3586 | 3.1983 | 3000 | 2.9184 | ### Framework versions - PEFT 0.13.1 - Transformers 4.44.2 - Pytorch 2.4.1+cu118 - Datasets 3.0.1 - Tokenizers 0.19.1