metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- generated_from_keras_callback
model-index:
- name: Adeptschneider/opus-mt-dyu-fr
results: []
Adeptschneider/opus-mt-dyu-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4349
- Validation Loss: 3.7720
- Epoch: 20
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 4.2081 | 3.6259 | 0 |
| 3.4679 | 3.4347 | 1 |
| 3.0948 | 3.3176 | 2 |
| 2.7833 | 3.2584 | 3 |
| 2.5063 | 3.2218 | 4 |
| 2.2673 | 3.2113 | 5 |
| 2.0584 | 3.2196 | 6 |
| 1.8604 | 3.2329 | 7 |
| 1.6837 | 3.2526 | 8 |
| 1.5233 | 3.2799 | 9 |
| 1.3768 | 3.3051 | 10 |
| 1.2342 | 3.3325 | 11 |
| 1.1145 | 3.3796 | 12 |
| 0.9931 | 3.4345 | 13 |
| 0.8911 | 3.4657 | 14 |
| 0.7914 | 3.5177 | 15 |
| 0.7034 | 3.5688 | 16 |
| 0.6226 | 3.6150 | 17 |
| 0.5546 | 3.6662 | 18 |
| 0.4875 | 3.7227 | 19 |
| 0.4349 | 3.7720 | 20 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.1
- Datasets 2.18.0
- Tokenizers 0.15.2