metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/machine_translation
results: []
aditnnda/machine_translation
This model is a fine-tuned version of Helsinki-NLP/opus-mt-id-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5251
- Validation Loss: 1.0308
- Epoch: 8
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': 1500, '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: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.8561 | 1.6274 | 0 |
| 1.4184 | 1.4283 | 1 |
| 1.1634 | 1.2964 | 2 |
| 0.9729 | 1.2049 | 3 |
| 0.8390 | 1.1546 | 4 |
| 0.7333 | 1.1060 | 5 |
| 0.6449 | 1.0874 | 6 |
| 0.6032 | 1.0554 | 7 |
| 0.5251 | 1.0308 | 8 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0