--- library_name: transformers tags: - simplification - generated_from_trainer metrics: - bleu model-index: - name: t5-small results: [] --- # t5-small This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.5147 - Bleu: 0.1571 - Gen Len: 12.0 ## 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: 5.6e-05 - train_batch_size: 8 - eval_batch_size: 8 - 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 3 | 2.6339 | 0.1655 | 12.0 | | No log | 2.0 | 6 | 2.5147 | 0.1571 | 12.0 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.5.1+cu124 - Datasets 3.3.2 - Tokenizers 0.21.0