--- license: llama2 library_name: peft tags: - trl - sft - generated_from_trainer base_model: codellama/CodeLlama-7b-hf datasets: - generator model-index: - name: duckdb-text2sql-codellama results: [] --- # duckdb-text2sql-codellama This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co./codellama/CodeLlama-7b-hf) 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: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - 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: 0.01 ### Training results ### Framework versions - PEFT 0.8.2 - Transformers 4.38.2 - Pytorch 2.1.0+cu118 - Datasets 2.16.1 - Tokenizers 0.15.2