| ---
|
| base_model: meta-llama/Llama-3.2-3B-Instruct
|
| library_name: peft
|
| license: llama3.2
|
| tags:
|
| - generated_from_trainer
|
| model-index:
|
| - name: Final_Model
|
| 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. --> |
|
|
| # Final_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: 0.8592 |
| |
| ## 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: 1 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 8 |
| - 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: linear |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 6 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.9709 | 0.9995 | 231 | 0.9373 | |
| | 0.9107 | 1.9989 | 462 | 0.8998 | |
| | 0.8754 | 2.9984 | 693 | 0.8803 | |
| | 0.8334 | 3.9978 | 924 | 0.8679 | |
| | 0.8159 | 4.9973 | 1155 | 0.8614 | |
| | 0.8283 | 5.9968 | 1386 | 0.8592 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.13.2 |
| - Transformers 4.46.2 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
