---
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/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