gabrielgmendonca/bert-base-portuguese-cased-finetuned-enjoei
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on a teaching dataset extracted from https://www.enjoei.com.br/.
It achieves the following results on the evaluation set:
- Train Loss: 6.0784
- Validation Loss: 5.2882
- Epoch: 2
Intended uses & limitations
This model is intended for educational purposes.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -985, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, '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: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
6.3618 | 5.7723 | 0 |
6.3353 | 5.4076 | 1 |
6.0784 | 5.2882 | 2 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1