--- library_name: peft license: apache-2.0 base_model: t5-small tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: t5-small-finetuned-xsum results: [] --- # t5-small-finetuned-xsum This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset. It achieves the following results on the evaluation set: - Loss: 1.9965 - Rouge1: 36.8776 - Rouge2: 15.1244 - Rougel: 31.1644 - Rougelsum: 34.0737 - Gen Len: 15.9218 ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | 2.2387 | 1.0 | 3683 | 1.9965 | 36.8776 | 15.1244 | 31.1644 | 34.0737 | 15.9218 | ### Framework versions - PEFT 0.13.2 - Transformers 4.46.1 - Pytorch 2.4.1+cpu - Datasets 3.1.0 - Tokenizers 0.20.1