t5-small-finetuned-de-en-nofp16

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

  • Loss: 2.1460
  • Bleu: 9.5801
  • Gen Len: 17.333

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

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 188 2.1899 9.4821 17.312
No log 2.0 376 2.1986 9.5705 17.3853
1.2118 3.0 564 2.1933 9.448 17.3293
1.2118 4.0 752 2.1607 9.563 17.336
1.2118 5.0 940 2.1460 9.5801 17.333

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
2
Hosted inference API
This model can be loaded on the Inference API on-demand.

Dataset used to train rossanez/t5-small-finetuned-de-en-nofp16

Evaluation results