--- license: llama2 library_name: peft tags: - generated_from_trainer base_model: codellama/CodeLlama-7b-hf model-index: - name: codellama results: [] --- # codellama This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.9.1.dev0 - Transformers 4.39.0.dev0 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2