--- license: apache-2.0 tags: - generated_from_trainer datasets: - ccmatrix model-index: - name: t5-small-finetuned-en-to-it results: [] --- # t5-small-finetuned-en-to-it This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the ccmatrix dataset. It achieves the following results on the evaluation set: - Loss: 2.0188 ## 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: 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: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.5524 | 1.0 | 750 | 2.2315 | | 2.4839 | 2.0 | 1500 | 2.1932 | | 2.4654 | 3.0 | 2250 | 2.1637 | | 2.4001 | 4.0 | 3000 | 2.1352 | | 2.3966 | 5.0 | 3750 | 2.1122 | | 2.3537 | 6.0 | 4500 | 2.0921 | | 2.3427 | 7.0 | 5250 | 2.0746 | | 2.316 | 8.0 | 6000 | 2.0614 | | 2.301 | 9.0 | 6750 | 2.0488 | | 2.2813 | 10.0 | 7500 | 2.0403 | | 2.2691 | 11.0 | 8250 | 2.0325 | | 2.2561 | 12.0 | 9000 | 2.0265 | | 2.258 | 13.0 | 9750 | 2.0217 | | 2.2447 | 14.0 | 10500 | 2.0199 | | 2.2432 | 15.0 | 11250 | 2.0188 | ### Framework versions - Transformers 4.22.1 - Pytorch 1.12.1+cu113 - Datasets 2.5.1 - Tokenizers 0.12.1