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