opus-mt-finetuned-en-es

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

  • Loss: 1.9813
  • Bleu: 21.5636
  • Gen Len: 30.0992

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.09 1.0 4382 1.9813 21.5636 30.0992

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Hosted inference API
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Dataset used to train rossanez/opus-mt-finetuned-en-es

Evaluation results