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bertimbau-base-finetuned-brazilian_court_decisions_bt16_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: 1.523958
- Accuracy: 0.772277
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 | 0.852318 | 0.603960 |
| 2 | No log | 0.728222 | 0.660891 |
| 3 | 0.781100 | 0.662818 | 0.742574 |
| 4 | 0.781100 | 0.687966 | 0.742574 |
| 5 | 0.399400 | 0.727256 | 0.762376 |
| 6 | 0.399400 | 0.843507 | 0.762376 |
| 7 | 0.399400 | 0.936927 | 0.759901 |
| 8 | 0.182400 | 1.065885 | 0.769802 |
| 9 | 0.182400 | 1.154641 | 0.754950 |
| 10 | 0.082200 | 1.375061 | 0.745050 |
| 11 | 0.082200 | 1.377540 | 0.757426 |
| 12 | 0.082200 | 1.465057 | 0.759901 |
| 13 | 0.033800 | 1.497934 | 0.762376 |
| 14 | 0.033800 | 1.504722 | 0.769802 |
| 15 | 0.017900 | 1.523958 | 0.772277 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
