| --- |
| base_model: unsloth/llama-3-8b-bnb-4bit |
| library_name: peft |
| license: other |
| tags: |
| - llama-factory |
| - lora |
| - unsloth |
| - generated_from_trainer |
| model-index: |
| - name: SFT_train_2024-06-11-13-00-00 |
| 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. --> |
|
|
| # SFT_train_2024-06-11-13-00-00 |
|
|
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the CEIA_SFT_INIT_Train dataset. |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 3.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.1.1+cu118 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
