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opus-mt-en-es-finetuned-es-to-pbb-v0.1

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: 1.7969
  • Bleu: 1.5951
  • Gen Len: 90.2946

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 194 2.5441 0.4291 116.186
No log 2.0 388 2.2092 0.6579 93.4866
2.6835 3.0 582 2.0599 0.698 96.8631
2.6835 4.0 776 1.9695 1.0624 90.817
2.6835 5.0 970 1.9087 1.0183 92.7232
1.9199 6.0 1164 1.8623 1.2926 90.9807
1.9199 7.0 1358 1.8342 1.3107 92.122
1.7744 8.0 1552 1.8145 1.3784 90.314
1.7744 9.0 1746 1.8020 1.4162 90.8006
1.7744 10.0 1940 1.7969 1.5951 90.2946

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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