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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: 3.5235
  • Bleu: 1.129
  • Gen Len: 17.088

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
3.414 1.0 6250 3.5235 1.129 17.088

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 danielbispov/t5-small-finetuned-fi-to-en

Evaluation results