vladjr/ptt5-small-portuguese-vocab-finetuned-americanas-maior-pt
This model is a fine-tuned version of unicamp-dl/ptt5-small-portuguese-vocab on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6846
- Validation Loss: 0.4947
- Epoch: 7
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': 5.6e-05, 'decay_steps': 3304, '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: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.3121 | 1.2220 | 0 |
| 1.3016 | 0.8588 | 1 |
| 1.0122 | 0.6947 | 2 |
| 0.8707 | 0.6077 | 3 |
| 0.7878 | 0.5478 | 4 |
| 0.7364 | 0.5181 | 5 |
| 0.6967 | 0.5019 | 6 |
| 0.6846 | 0.4947 | 7 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.0