| | --- |
| | base_model: meta-llama/Llama-3.2-3B-Instruct |
| | library_name: peft |
| | license: llama3.2 |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: llama3.2-3b-medium |
| | 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. --> |
| |
|
| | # llama3.2-3b-medium |
| |
|
| | 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 the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6810 |
| |
|
| | ## 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: 8 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 2.0835 | 0.5198 | 100 | 1.9059 | |
| | | 1.8694 | 1.0396 | 200 | 1.8444 | |
| | | 1.7751 | 1.5595 | 300 | 1.8023 | |
| | | 1.7621 | 2.0793 | 400 | 1.7662 | |
| | | 1.6951 | 2.5991 | 500 | 1.7426 | |
| | | 1.6917 | 3.1189 | 600 | 1.7270 | |
| | | 1.6354 | 3.6387 | 700 | 1.7141 | |
| | | 1.6231 | 4.1585 | 800 | 1.7076 | |
| | | 1.5944 | 4.6784 | 900 | 1.6972 | |
| | | 1.5959 | 5.1982 | 1000 | 1.6925 | |
| | | 1.5429 | 5.7180 | 1100 | 1.6878 | |
| | | 1.5584 | 6.2378 | 1200 | 1.6880 | |
| | | 1.5347 | 6.7576 | 1300 | 1.6839 | |
| | | 1.5536 | 7.2775 | 1400 | 1.6818 | |
| | | 1.5061 | 7.7973 | 1500 | 1.6823 | |
| | | 1.5282 | 8.3171 | 1600 | 1.6814 | |
| | | 1.5187 | 8.8369 | 1700 | 1.6809 | |
| | | 1.5232 | 9.3567 | 1800 | 1.6809 | |
| | | 1.5131 | 9.8765 | 1900 | 1.6810 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.45.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.20.1 |
