t5-small-finetuned-de-en-final

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

  • Loss: 2.3285
  • Bleu: 9.8394
  • Gen Len: 17.325

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: 0.0002
  • 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 2.3867 9.7928 17.2581
No log 2.0 376 2.3942 9.7222 17.4186
0.7948 3.0 564 2.3909 9.6495 17.3513
0.7948 4.0 752 2.3496 9.7376 17.3417
0.7948 5.0 940 2.3285 9.8394 17.325

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Hosted inference API
This model can be loaded on the Inference API on-demand.

Dataset used to train rossanez/t5-small-finetuned-de-en-final

Evaluation results