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COLABDATA

This model is a fine-tuned version of google-t5/t5-small on the Helsinki-NLP/opus-100 de-en dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7967
  • Bleu: 30.5988
  • Gen Len: 20.0945

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Dataset used to train andituebingen/t5-MT-de-en

Evaluation results