en-ne

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

• Train Loss: 1.3328
• Validation Loss: 1.5832
• Epoch: 5

Model description

More information needed

Intended uses & limitations

More information needed

BLEU Score

The model achieves a BLEU score of 14.83 on the test split of the BeebekBhz/en-ne 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
2.6327	2.0059	0
1.9273	1.7883	1
1.6957	1.6886	2
1.5456	1.6348	3
1.4287	1.6065	4
1.3328	1.5832	5

Framework versions

• Transformers 4.47.1
• TensorFlow 2.17.1
• Datasets 3.3.2
• Tokenizers 0.21.0