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t5-small-finetuned-fi-to-en

This model is a fine-tuned version of t5-small on the wmt19 dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3598
  • Bleu: 1.618
  • Gen Len: 17.3223

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
3.3627 1.0 6250 3.5122 1.2882 17.1803
3.2162 2.0 12500 3.4442 1.4329 17.2617
3.1304 3.0 18750 3.3872 1.4862 17.296
3.0832 4.0 25000 3.3648 1.5795 17.3047
3.0623 5.0 31250 3.3598 1.618 17.3223

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.9.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train ingridnc/t5-small-finetuned-fi-to-en

Evaluation results