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english-to-darija-2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ar on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8514
  • Bleu: 70.9947
  • Gen Len: 9.092

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.6032 1.0 4651 1.4540 25.9364 8.9697
1.1191 2.0 9302 1.0805 48.0549 9.0661
0.8048 3.0 13953 0.9419 61.3646 9.1018
0.5978 4.0 18604 0.8939 65.6846 9.1161
0.477 5.0 23255 0.8623 68.0005 9.1049
0.4228 6.0 27906 0.8540 69.1959 9.1276
0.3534 7.0 32557 0.8479 69.944 9.0744
0.305 8.0 37208 0.8473 70.55 9.0987
0.2678 9.0 41859 0.8489 70.8065 9.1166
0.243 10.0 46510 0.8514 70.9947 9.092

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1
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