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
- Downloads last month
- 46
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
Base model
neuralmind/bert-base-portuguese-casedDataset used to train Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
Evaluation results
- Accuracy on joelito/brazilian_court_decisionstest set verified0.793
- Precision Macro on joelito/brazilian_court_decisionstest set verified0.756
- Precision Micro on joelito/brazilian_court_decisionstest set verified0.793
- Precision Weighted on joelito/brazilian_court_decisionstest set verified0.791
- Recall Macro on joelito/brazilian_court_decisionstest set verified0.741
- Recall Micro on joelito/brazilian_court_decisionstest set verified0.793
- Recall Weighted on joelito/brazilian_court_decisionstest set verified0.793
- F1 Macro on joelito/brazilian_court_decisionstest set verified0.747
- F1 Micro on joelito/brazilian_court_decisionstest set verified0.793
- F1 Weighted on joelito/brazilian_court_decisionstest set verified0.791