metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/machine_translation_informal2formal
results: []
aditnnda/machine_translation_informal2formal
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: 0.1876
- Validation Loss: 1.0247
- Epoch: 18
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': 6000, '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 | Validation Loss | Epoch |
|---|---|---|
| 3.4298 | 2.4070 | 0 |
| 2.1508 | 1.8031 | 1 |
| 1.6301 | 1.5249 | 2 |
| 1.3013 | 1.3417 | 3 |
| 1.0752 | 1.2465 | 4 |
| 0.9119 | 1.1651 | 5 |
| 0.7778 | 1.1213 | 6 |
| 0.6763 | 1.0813 | 7 |
| 0.5907 | 1.0542 | 8 |
| 0.5162 | 1.0289 | 9 |
| 0.4573 | 1.0265 | 10 |
| 0.4057 | 1.0115 | 11 |
| 0.3645 | 1.0096 | 12 |
| 0.3227 | 1.0037 | 13 |
| 0.2864 | 1.0016 | 14 |
| 0.2598 | 1.0121 | 15 |
| 0.2291 | 1.0079 | 16 |
| 0.2069 | 1.0199 | 17 |
| 0.1876 | 1.0247 | 18 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0