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t5-small-finetuned-en-to-pt

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3295
  • Bleu: 5.6807
  • Gen Len: 18.6772

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: 0.005
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.5787 1.0 6250 0.4928 4.1007 18.638
0.5089 2.0 12500 0.4463 4.3492 18.663
0.4652 3.0 18750 0.4215 4.68 18.6652
0.4353 4.0 25000 0.3980 4.8172 18.6708
0.4042 5.0 31250 0.3799 4.9719 18.6514
0.3734 6.0 37500 0.3676 5.2226 18.6572
0.3396 7.0 43750 0.3513 5.2693 18.6596
0.308 8.0 50000 0.3400 5.4546 18.676
0.2767 9.0 56250 0.3331 5.5649 18.6708
0.2424 10.0 62500 0.3295 5.6807 18.6772

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.0
  • Tokenizers 0.10.3
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