dyu-fr-opus-v2.0
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: 0.4876
- Validation Loss: 3.7181
- Epoch: 19
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 |
---|---|---|
4.2099 | 3.6175 | 0 |
3.4757 | 3.4413 | 1 |
3.0954 | 3.3367 | 2 |
2.7804 | 3.2639 | 3 |
2.5106 | 3.2269 | 4 |
2.2711 | 3.2267 | 5 |
2.0556 | 3.2083 | 6 |
1.8625 | 3.2228 | 7 |
1.6882 | 3.2533 | 8 |
1.5238 | 3.2604 | 9 |
1.3797 | 3.2987 | 10 |
1.2367 | 3.3460 | 11 |
1.1085 | 3.3993 | 12 |
0.9946 | 3.4232 | 13 |
0.8910 | 3.4565 | 14 |
0.7927 | 3.5120 | 15 |
0.7037 | 3.5665 | 16 |
0.6257 | 3.6241 | 17 |
0.5545 | 3.6816 | 18 |
0.4876 | 3.7181 | 19 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Adeptschneider/dyu-fr-opus-v2.0
Base model
Helsinki-NLP/opus-mt-en-fr