README.md

metadata

tags:
  - translation
  - generated_from_trainer
datasets:
  - ted_iwlst2013
metrics:
  - bleu
model-index:
  - name: unicamp-finetuned-en-to-pt-dataset-ted
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: ted_iwlst2013
          type: ted_iwlst2013
          args: en-pt
        metrics:
          - name: Bleu
            type: bleu
            value: 25.65030250145235

unicamp-finetuned-en-to-pt-dataset-ted

This model is a fine-tuned version of 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