--- 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](https://huggingface.co/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