metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ru-uk
tags:
- generated_from_keras_callback
model-index:
- name: serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04
results: []
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