--- license: mit library_name: peft tags: - generated_from_trainer base_model: microsoft/phi-1_5 model-index: - name: remote_sensing_gpt_expt4 results: [] --- # remote_sensing_gpt_expt4 This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.3855 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.4913 | 1.0 | 916 | 3.4388 | | 3.2788 | 2.0 | 1832 | 3.3951 | | 3.218 | 3.0 | 2748 | 3.3855 | ### Framework versions - PEFT 0.9.0 - Transformers 4.36.2 - Pytorch 2.2.1+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0