Arunjith/susanna-en-ml-translation-model

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

• Train Loss: 0.0113
• Validation Loss: 0.1623
• Epoch: 9

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:

• 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
0.0354	0.1432	0
0.0310	0.1451	1
0.0266	0.1539	2
0.0220	0.1531	3
0.0195	0.1490	4
0.0190	0.1611	5
0.0169	0.1546	6
0.0132	0.1596	7
0.0132	0.1618	8
0.0113	0.1623	9

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1