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bertimbau-base-finetuned-brazilian_court_decisions_bt8_ep15
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: 1.814463
- Accuracy: 0.777228
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
| Epoch | Training Loss | Validation Loss | Accuracy |
|---|---|---|---|
| 1 | No log | 0.780298 | 0.663366 |
| 2 | 0.827000 | 0.739960 | 0.705446 |
| 3 | 0.597100 | 0.775997 | 0.737624 |
| 4 | 0.413100 | 0.860354 0. 767327 | |
| 5 | 0.296900 | 1.024743 | 0.767327 |
| 6 | 0.296900 | 1.274581 | 0.757426 |
| 7 | 0.193900 | 1.316006 | 0.787129 |
| 8 | 0.125700 | 1.486973 | 0.764851 |
| 9 | 0.102200 | 1.651981 | 0.777228 |
| 10 | 0.053300 | 1.640268 | 0.787129 |
| 11 | 0.053300 | 1.762075 | 0.782178 |
| 12 | 0.028500 | 1.796041 | 0.779703 |
| 13 | 0.016000 | 1.801749 | 0.784653 |
| 14 | 0.014100 | 1.784914 | 0.779703 |
| 15 | 0.012600 | 1.814463 | 0.777228 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
