metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
results: []
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: 1.5456
- Accuracy: 0.7822
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 203 | 0.7854 | 0.6683 |
| No log | 2.0 | 406 | 0.6289 | 0.7574 |
| 0.6974 | 3.0 | 609 | 0.6930 | 0.7822 |
| 0.6974 | 4.0 | 812 | 0.7168 | 0.7649 |
| 0.2928 | 5.0 | 1015 | 0.8712 | 0.7822 |
| 0.2928 | 6.0 | 1218 | 0.9827 | 0.7772 |
| 0.2928 | 7.0 | 1421 | 1.1399 | 0.7624 |
| 0.1056 | 8.0 | 1624 | 1.2653 | 0.7847 |
| 0.1056 | 9.0 | 1827 | 1.3478 | 0.7673 |
| 0.0403 | 10.0 | 2030 | 1.4290 | 0.7673 |
| 0.0403 | 11.0 | 2233 | 1.4404 | 0.7797 |
| 0.0403 | 12.0 | 2436 | 1.4250 | 0.7797 |
| 0.016 | 13.0 | 2639 | 1.5548 | 0.7797 |
| 0.016 | 14.0 | 2842 | 1.5110 | 0.7871 |
| 0.0055 | 15.0 | 3045 | 1.5456 | 0.7822 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1