bert-portuguese-squad
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: 1.9715
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.041 | 1.0 | 5578 | 1.1970 |
| 0.8267 | 2.0 | 11156 | 1.2215 |
| 0.586 | 3.0 | 16734 | 1.3191 |
| 0.4251 | 4.0 | 22312 | 1.6129 |
| 0.3045 | 5.0 | 27890 | 1.7907 |
| 0.2432 | 6.0 | 33468 | 1.9715 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2
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