| license: other | |
| base_model: meta-llama/Llama-3.2-1B-Instruct | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: llama3.2_1binst_full_sft | |
| results: [] | |
| # llama3.2_1binst_full_sft | |
| This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the radiology_dataset dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3101 | |
| - Num Input Tokens Seen: 1408680 | |
| ## 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: 5e-05 | |
| - 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: cosine | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | | |
| |:-------------:|:------:|:----:|:---------------:|:-----------------:| | |
| | 1.0699 | 0.8475 | 150 | 1.3370 | 398976 | | |
| | 0.7075 | 1.6949 | 300 | 1.1712 | 799168 | | |
| | 0.2458 | 2.5424 | 450 | 1.3173 | 1193632 | | |
| ### Framework versions | |
| - Transformers 4.43.4 | |
| - Pytorch 2.4.0+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |