--- license: apache-2.0 tags: - generated_from_trainer datasets: - wiki_auto model-index: - name: t5-small-finetuned-text-simplification results: [] --- # t5-small-finetuned-text-simplification This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wiki_auto dataset. It achieves the following results on the evaluation set: - eval_loss: 4.9058 - eval_sari: 57.2104 - eval_runtime: 907.1945 - eval_samples_per_second: 80.742 - eval_steps_per_second: 5.047 - epoch: 3.0 - step: 70089 ## 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: 5e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.27.3 - Pytorch 1.13.0 - Datasets 2.1.0 - Tokenizers 0.13.2