bertimbau_base
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0718
- Acc: 0.948
- F1: 0.9479
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:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | F1 |
|---|---|---|---|---|---|
| 0.0772 | 1.0 | 313 | 0.1102 | 0.92 | 0.9211 |
| 0.0250 | 2.0 | 626 | 0.0718 | 0.948 | 0.9479 |
Framework versions
- Transformers 5.22.2
- Pytorch 2.14.1+cu130
- Datasets 5.2.0
- Tokenizers 0.23.3