ne-en

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

  • Train Loss: 1.3494
  • Validation Loss: 1.7265
  • Epoch: 4

Model description

More information needed

Intended uses & limitations

More information needed

BLEU Score

The model achieves a BLEU score of 28.66 on the test split of the BeebekBhz/ne-en dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
2.2912 1.9530 0
1.8413 1.8206 1
1.6270 1.7661 2
1.4746 1.7402 3
1.3494 1.7265 4

Framework versions

  • Transformers 4.48.3
  • TensorFlow 2.18.0
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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