--- license: apache-2.0 library_name: peft tags: - pretrained - lora - qlora - 4bit - phi-2 - generated_from_trainer base_model: microsoft/phi-2 model-index: - name: phi-2-role-play results: [] datasets: - hieunguyenminh/roleplay language: - en pipeline_tag: text-generation --- # phi-2-role-play This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results ![image/png](https://cdn-uploads.huggingface.co/production/uploads/603945d6db430f160dced222/dfhsIkKOXAz7xBSWyfRqa.png) ### Framework versions - PEFT 0.7.1 - Transformers 4.37.1 - Pytorch 2.0.0 - Datasets 2.16.1 - Tokenizers 0.15.0