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kabelomalapane/Helsinki-NLP-opus-finetuned-en-to-zu
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.5907
- Validation Loss: 1.6321
- Epoch: 2
Model description
More information needed
Intended uses & limitations
This model is to be used to translate English into Zulu. But there are still some problems in running this model, so it's still to be modified.
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': 783, '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: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.1622 | 1.7379 | 0 |
| 1.7292 | 1.6529 | 1 |
| 1.5907 | 1.6321 | 2 |
Framework versions
- Transformers 4.16.2
- TensorFlow 2.8.0
- Datasets 1.18.3
- Tokenizers 0.11.0
