--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer model-index: - name: paper-summarization results: [] --- # paper-summarization This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.3296 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.2336 | 1.0 | 78 | 2.5990 | | 2.7888 | 2.0 | 156 | 2.3754 | | 2.5667 | 3.0 | 234 | 2.3296 | ### Framework versions - Transformers 4.31.0 - Pytorch 1.13.1 - Datasets 2.12.0 - Tokenizers 0.13.3