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

  • Loss: 1.5491
  • Rouge1: 42.3787
  • Rouge2: 32.0253
  • Rougel: 38.9529
  • Rougelsum: 40.4544
  • Gen Len: 47.7873

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: 6
  • eval_batch_size: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7.0

Training results

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Model size
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Dataset used to train Shahm/t5-small-german

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Evaluation results