raphaelelel/translation_output

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: 4.5667
• Validation Loss: 4.4087
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
4.5654	4.4087	0
4.5673	4.4087	1
4.5660	4.4087	2
4.5637	4.4087	3
4.5669	4.4087	4
4.5664	4.4087	5
4.5654	4.4087	6
4.5643	4.4087	7
4.5650	4.4087	8
4.5667	4.4087	9

Framework versions

• Transformers 4.34.1
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.14.1