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vladjr/ptt5-base-portuguese-vocab-finetuned-americanas-maior-pt
This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0674
- Validation Loss: 0.1267
- 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 |
|---|---|---|
| 0.3077 | 0.1753 | 0 |
| 0.1429 | 0.1384 | 1 |
| 0.1127 | 0.1296 | 2 |
| 0.0952 | 0.1240 | 3 |
| 0.0844 | 0.1247 | 4 |
| 0.0769 | 0.1229 | 5 |
| 0.0704 | 0.1239 | 6 |
| 0.0674 | 0.1267 | 7 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.0
