t5-small-finetuned-de-en-epochs5

This model is a fine-tuned version of t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2040
  • Bleu: 5.8913
  • Gen Len: 17.5408

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: 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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 188 2.3366 2.8075 17.8188
No log 2.0 376 2.2557 4.8765 17.626
2.6928 3.0 564 2.2246 5.5454 17.5534
2.6928 4.0 752 2.2086 5.8511 17.5461
2.6928 5.0 940 2.2040 5.8913 17.5408

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 rossanez/t5-small-finetuned-de-en-epochs5

Evaluation results