--- license: llama2 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Llama-2-13b-Chat-GPTQ model-index: - name: llama-2-13b-echelon-faq-GPTQ results: [] --- # llama-2-13b-echelon-faq-GPTQ This model is a fine-tuned version of [TheBloke/Llama-2-13b-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-13b-Chat-GPTQ) 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: 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: cosine - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.10.0 - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2