opus-mt-ar-en-finetuned-ar-to-en-2

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

  • Loss: 1.7466
  • Bleu: 0.1931
  • Gen Len: 44.1165

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 411 1.7871 0.1911 44.2864
1.9788 2.0 822 1.7466 0.1931 44.1165

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Tokenizers 0.21.0
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