en-es-book-translator

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9714
  • Bleu: 22.2944
  • Gen Len: 29.6926

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: 5.6e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 123
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.1666 1.0 1000 2.0011 21.9401 29.5806
1.8871 2.0 2000 1.9714 22.2944 29.6926

Framework versions

  • Transformers 5.5.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.8.4
  • Tokenizers 0.22.2
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