--- license: other base_model: microsoft/phi-1_5 tags: - generated_from_trainer datasets: - scitldr model-index: - name: uplimit-project-3-phi-1.5 results: [] --- # uplimit-project-3-phi-1.5 This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset. It achieves the following results on the evaluation set: - Loss: 2.5478 ## 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: 0.001 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.5968 | 0.4 | 800 | 2.5785 | | 2.5481 | 0.8 | 1600 | 2.5620 | | 2.4473 | 1.2 | 2400 | 2.5622 | | 2.3792 | 1.61 | 3200 | 2.5478 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1