metadata
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9699
- Accuracy: 0.8696
- F1 Macro: 0.7453
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 17 | 1.3024 | 0.6522 | 0.4824 |
| No log | 2.0 | 34 | 1.1881 | 0.7826 | 0.6572 |
| No log | 3.0 | 51 | 0.9699 | 0.8696 | 0.7453 |
| No log | 4.0 | 68 | 0.8733 | 0.8261 | 0.7017 |
| No log | 5.0 | 85 | 0.7908 | 0.8261 | 0.7017 |
| No log | 6.0 | 102 | 0.8341 | 0.8261 | 0.7017 |
| No log | 7.0 | 119 | 0.7325 | 0.8261 | 0.7017 |
| No log | 8.0 | 136 | 0.7554 | 0.8261 | 0.7017 |
| No log | 9.0 | 153 | 0.8333 | 0.8261 | 0.6918 |
| No log | 10.0 | 170 | 0.8074 | 0.8261 | 0.6831 |
| No log | 11.0 | 187 | 0.8021 | 0.8261 | 0.6732 |
| No log | 12.0 | 204 | 0.8205 | 0.8261 | 0.6732 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.7.1+cpu
- Datasets 4.0.0
- Tokenizers 0.21.2