punctuation-nilc-t5-base

This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0432
  • Bleu: 26.0973
  • Gen Len: 18.8694

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.0544 1.0 4686 0.0442 25.989 18.8655
0.0367 2.0 9372 0.0371 25.9358 18.8713
0.0222 3.0 14058 0.0374 25.8976 18.8694
0.0152 4.0 18744 0.0409 26.1575 18.8694
0.0147 5.0 23430 0.0432 26.0973 18.8694

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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