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raphaelelel/translation_output
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.5667
- Validation Loss: 4.4087
- Epoch: 9
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': 10, '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 |
|---|---|---|
| 4.5654 | 4.4087 | 0 |
| 4.5673 | 4.4087 | 1 |
| 4.5660 | 4.4087 | 2 |
| 4.5637 | 4.4087 | 3 |
| 4.5669 | 4.4087 | 4 |
| 4.5664 | 4.4087 | 5 |
| 4.5654 | 4.4087 | 6 |
| 4.5643 | 4.4087 | 7 |
| 4.5650 | 4.4087 | 8 |
| 4.5667 | 4.4087 | 9 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.14.1
