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darija_englishV2.1

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: 1.3635
  • Bleu: 32.8666
  • Gen Len: 11.7901

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.641 1.0 1594 1.4631 29.3791 11.6872
1.2871 2.0 3188 1.3761 30.8465 12.0999
1.1067 3.0 4782 1.3503 32.7058 11.6206
0.9456 4.0 6376 1.3462 32.5581 11.8712
0.8611 5.0 7970 1.3497 33.0669 11.7258
0.7806 6.0 9564 1.3601 33.2093 11.7203
0.7293 7.0 11158 1.3635 32.8666 11.7901

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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