--- library_name: peft license: llama3.2 base_model: meta-llama/Llama-3.2-1B tags: - trl - sft - generated_from_trainer datasets: - generator model-index: - name: code-llama-3-1-8b-text-to-sql results: [] --- # code-llama-3-1-8b-text-to-sql This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the generator 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: 0.0002 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.13.2 - Transformers 4.45.2 - Pytorch 2.4.0+cu121 - Datasets 3.0.2 - Tokenizers 0.20.1