metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: mariav/helsinki-opus-de-en-fine-tuned-wmt16
results: []
mariav/helsinki-opus-de-en-fine-tuned-wmt16
This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0644
- Validation Loss: 1.4324
- 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': 5e-05, 'decay_steps': 1245, '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: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.5115 | 1.4061 | 0 |
| 1.2931 | 1.4111 | 1 |
| 1.1590 | 1.4200 | 2 |
| 1.0644 | 1.4324 | 3 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2