--- library_name: peft tags: - trl - sft - generated_from_trainer base_model: NousResearch/Llama-2-7b-chat-hf model-index: - name: llama2-7b-chat-guanaco-llama2-1k-flashatn2-without-packing results: [] --- # llama2-7b-chat-guanaco-llama2-1k-flashatn2-without-packing This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co./NousResearch/Llama-2-7b-chat-hf) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.2834 ## 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: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.3135 | 1.0 | 410 | 1.2490 | | 1.117 | 2.0 | 820 | 1.2548 | | 0.9591 | 3.0 | 1230 | 1.2834 | ### Framework versions - PEFT 0.8.2 - Transformers 4.38.0.dev0 - Pytorch 2.1.0+cu121 - Datasets 2.17.2.dev0 - Tokenizers 0.15.2