bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
This model is a fine-tuned version of Luciano/bertimbau-base-finetuned-lener-br on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8017
- Accuracy: 0.7698
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 405 | 0.7790 | 0.6535 |
| 0.8276 | 2.0 | 810 | 0.6739 | 0.7277 |
| 0.5818 | 3.0 | 1215 | 0.8767 | 0.7302 |
| 0.4147 | 4.0 | 1620 | 0.8229 | 0.7896 |
| 0.287 | 5.0 | 2025 | 0.9874 | 0.7921 |
| 0.287 | 6.0 | 2430 | 1.2301 | 0.7772 |
| 0.1727 | 7.0 | 2835 | 1.2864 | 0.7946 |
| 0.1179 | 8.0 | 3240 | 1.5097 | 0.7772 |
| 0.0709 | 9.0 | 3645 | 1.4772 | 0.7921 |
| 0.0437 | 10.0 | 4050 | 1.5581 | 0.7797 |
| 0.0437 | 11.0 | 4455 | 1.6317 | 0.7896 |
| 0.0318 | 12.0 | 4860 | 1.7295 | 0.7822 |
| 0.0158 | 13.0 | 5265 | 1.7333 | 0.7797 |
| 0.0108 | 14.0 | 5670 | 1.8008 | 0.7772 |
| 0.0137 | 15.0 | 6075 | 1.8017 | 0.7698 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1