bertimbau-base-finetuned-lener-br-finetuned-peticoes-competencia
This model is a fine-tuned version of Luciano/bertimbau-base-finetuned-lener-br on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1757
- Accuracy: 0.7135
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 |
|---|---|---|---|---|
| 2.2902 | 1.0 | 903 | 1.4526 | 0.6460 |
| 1.3069 | 2.0 | 1806 | 1.2068 | 0.7022 |
| 1.0292 | 3.0 | 2709 | 1.1709 | 0.7069 |
| 0.8702 | 4.0 | 3612 | 1.1659 | 0.7169 |
| 0.7541 | 5.0 | 4515 | 1.1757 | 0.7135 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1