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t5_small_prelim_emea_enfr

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

  • Loss: 0.6699
  • Bleu: 20.0981
  • Gen Len: 14.0674

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.8083 1.0 54629 0.6994 19.6965 14.0689
0.7941 2.0 109258 0.6699 20.0981 14.0674

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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Dataset used to train ethansimrm/t5_small_prelim_emea_enfr

Evaluation results