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bert-tv-portuguese
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.3734
- Epoch: 8
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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.000102, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 6.3513 | 0 |
| 4.4775 | 1 |
| 3.5899 | 2 |
| 3.1742 | 3 |
| 2.9347 | 4 |
| 2.7461 | 5 |
| 2.5957 | 6 |
| 2.4721 | 7 |
| 2.3734 | 8 |
Framework versions
- Transformers 4.27.3
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3
