<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
projjal/pt-en-model
This model is a fine-tuned version of unicamp-dl/translation-pt-en-t5 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3467
- Train Accuracy: 0.3863
- Epoch: 9
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': 0.002, '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 | Train Accuracy | Epoch |
|---|---|---|
| 1.1711 | 0.3234 | 0 |
| 0.8661 | 0.3438 | 1 |
| 0.7208 | 0.3551 | 2 |
| 0.6265 | 0.3614 | 3 |
| 0.5549 | 0.3678 | 4 |
| 0.4997 | 0.3727 | 5 |
| 0.4505 | 0.3763 | 6 |
| 0.4079 | 0.3807 | 7 |
| 0.3750 | 0.3825 | 8 |
| 0.3467 | 0.3863 | 9 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.2
