--- tags: - generated_from_trainer metrics: - bleu model-index: - name: translation-en-pt-t5-finetuned-Duolingo results: [] --- # translation-en-pt-t5-finetuned-Duolingo This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7362 - Bleu: 39.4725 - Gen Len: 9.002 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | 0.5429 | 0.24 | 9000 | 0.7461 | 39.4744 | 9.0 | | 0.5302 | 0.48 | 18000 | 0.7431 | 39.7559 | 8.97 | | 0.5309 | 0.72 | 27000 | 0.7388 | 39.6751 | 8.998 | | 0.5336 | 0.96 | 36000 | 0.7362 | 39.4725 | 9.002 | ### Framework versions - Transformers 4.12.5 - Pytorch 1.10.0+cu111 - Datasets 1.16.1 - Tokenizers 0.10.3