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Prgrg/ja-en-JESC-v1.0
This model is a fine-tuned version of Helsinki-NLP/opus-mt-jap-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.6718
- Validation Loss: 2.7199
- Epoch: 3
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': 0.0005, 'decay_steps': 100000, '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': 0.001}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.4950 | 3.1973 | 0 |
| 3.0956 | 2.9648 | 1 |
| 2.8593 | 2.8061 | 2 |
| 2.6718 | 2.7199 | 3 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.9.1
- Datasets 2.10.1
- Tokenizers 0.13.2
