KigenCHESS/eng-sw_TranslationModel
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-sw on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1663
- Validation Loss: 0.5792
- Epoch: 5
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': 1272, '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 |
|---|---|---|
| 0.9289 | 0.6785 | 0 |
| 0.4948 | 0.6091 | 1 |
| 0.3294 | 0.5914 | 2 |
| 0.2436 | 0.5825 | 3 |
| 0.1934 | 0.5794 | 4 |
| 0.1663 | 0.5792 | 5 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3