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t5-small-finetuned-de-en-batch8

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

  • Loss: 2.1282
  • Bleu: 10.039
  • Gen Len: 17.3839

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: 8
  • eval_batch_size: 8
  • 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
No log 1.0 375 2.0912 9.9147 17.3084
1.5593 2.0 750 2.0858 9.9386 17.4299
1.4383 3.0 1125 2.1137 9.9804 17.34
1.3562 4.0 1500 2.1198 9.9685 17.367
1.3562 5.0 1875 2.1282 10.039 17.3839

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train rossanez/t5-small-finetuned-de-en-batch8

Evaluation results