bertimbau-base-finetuned-brazilian_court_decisions
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6424
- Accuracy: 0.7921
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 203 | 0.7726 | 0.6683 |
| No log | 2.0 | 406 | 0.5948 | 0.7673 |
| 0.7112 | 3.0 | 609 | 0.6424 | 0.7723 |
| 0.7112 | 4.0 | 812 | 0.6376 | 0.7772 |
| 0.3383 | 5.0 | 1015 | 0.6424 | 0.7921 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1