| tags: | |
| - translation | |
| - generated_from_trainer | |
| datasets: | |
| - ted_iwlst2013 | |
| metrics: | |
| - bleu | |
| base_model: unicamp-dl/translation-pt-en-t5 | |
| model-index: | |
| - name: unicamp-finetuned-en-to-pt-dataset-ted | |
| results: | |
| - task: | |
| type: text2text-generation | |
| name: Sequence-to-sequence Language Modeling | |
| dataset: | |
| name: ted_iwlst2013 | |
| type: ted_iwlst2013 | |
| args: en-pt | |
| metrics: | |
| - type: bleu | |
| value: 25.65030250145235 | |
| name: Bleu | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # unicamp-finetuned-en-to-pt-dataset-ted | |
| This model is a fine-tuned version of [unicamp-dl/translation-pt-en-t5](https://huggingface.co/unicamp-dl/translation-pt-en-t5) on the ted_iwlst2013 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.8861 | |
| - Bleu: 25.6503 | |
| ## 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: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |