--- library_name: peft license: llama2 base_model: meta-llama/Llama-2-7b-hf tags: - generated_from_trainer model-index: - name: llama2-instruction-aligned results: [] datasets: - jasperyeoh2/backtranslated-lima-cleaned language: - en new_version: meta-llama/Llama-2-7b-hf --- # llama2-instruction-aligned This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-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: 2e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - num_epochs: 10 ### Training results ### Framework versions - PEFT 0.15.1 - Transformers 4.50.2 - Pytorch 2.5.1+cu121 - Datasets 3.4.1 - Tokenizers 0.21.1