rashid996958/Helsinki-shirsh-finetuned-translation-english-to-hindi
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: 4.5681
- Train Accuracy: 0.0591
- Validation Loss: 4.3657
- Validation Accuracy: 0.0616
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, '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': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 4.5704 | 0.0591 | 4.3657 | 0.0616 | 0 |
| 4.5693 | 0.0591 | 4.3657 | 0.0616 | 1 |
| 4.5656 | 0.0591 | 4.3657 | 0.0616 | 2 |
| 4.5684 | 0.0591 | 4.3657 | 0.0616 | 3 |
| 4.5659 | 0.0591 | 4.3657 | 0.0616 | 4 |
| 4.5656 | 0.0591 | 4.3657 | 0.0616 | 5 |
| 4.5667 | 0.0591 | 4.3657 | 0.0616 | 6 |
| 4.5665 | 0.0591 | 4.3657 | 0.0616 | 7 |
| 4.5702 | 0.0590 | 4.3657 | 0.0616 | 8 |
| 4.5681 | 0.0591 | 4.3657 | 0.0616 | 9 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.13.0
- Datasets 2.1.0
- Tokenizers 0.14.1