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opus-mt-fr-yat

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

  • Loss: 6.7630
  • Bert score: 0.6005

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: 20
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Bert score
No log 1.0 62 7.7730 0.5980
No log 2.0 124 6.9707 0.5976
No log 3.0 186 6.7630 0.6005

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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