serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04

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

• Train Loss: 0.7141
• Validation Loss: 1.1762
• Epoch: 4

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-06, 'decay_steps': 38835, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 1e-06}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.5491	1.2914	0
1.1163	1.2121	1
0.9106	1.1878	2
0.7863	1.1770	3
0.7141	1.1762	4

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2