--- base_model: meta-llama/Llama-2-7b-hf library_name: peft license: llama2 tags: - trl - sft - generated_from_trainer model-index: - name: Llama-2-7b-hf-yelp_reviews-2024-09-20 results: [] --- # Llama-2-7b-hf-yelp_reviews-2024-09-20 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 200 ### Training results ### Framework versions - PEFT 0.11.1 - Transformers 4.42.3 - Pytorch 2.2.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1