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t5-small-finetuned-de-to-en

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9417
  • Bleu: 9.2166
  • Gen Len: 17.3404

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: 8
  • eval_batch_size: 8
  • 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
No log 1.0 272 2.1660 3.8515 17.6289
2.6678 2.0 544 2.0656 6.4422 17.4842
2.6678 3.0 816 2.0203 7.4348 17.3741
2.4316 4.0 1088 1.9926 8.0914 17.3658
2.4316 5.0 1360 1.9739 8.6535 17.3461
2.3307 6.0 1632 1.9603 8.8757 17.3768
2.3307 7.0 1904 1.9509 9.0744 17.3511
2.2945 8.0 2176 1.9466 9.1111 17.3418
2.2945 9.0 2448 1.9427 9.1969 17.3351
2.2666 10.0 2720 1.9417 9.2166 17.3404

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train marciovbarbosa/t5-small-finetuned-de-to-en

Evaluation results