| --- |
| library_name: peft |
| license: llama3.1 |
| base_model: meta-llama/Llama-3.1-8B-Instruct |
| tags: |
| - llama-factory |
| - lora |
| - generated_from_trainer |
| model-index: |
| - name: Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver |
| 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. --> |
|
|
| # Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the sft_sg_values_p005_OA_silver dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1600 |
| |
| ## 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: 1e-06 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - 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_ratio: 0.1 |
| - num_epochs: 1.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.3861 | 0.1780 | 250 | 0.3353 | |
| | 0.3075 | 0.3560 | 500 | 0.2136 | |
| | 0.2606 | 0.5340 | 750 | 0.1820 | |
| | 0.2404 | 0.7120 | 1000 | 0.1669 | |
| | 0.257 | 0.8900 | 1250 | 0.1612 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.21.0 |
| - Tokenizers 0.21.1 |
