---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_keras_callback
model-index:
- name: gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_7
  results: []
---

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

# gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_7

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0650
- Train Accuracy: 0.9758
- Train F1 M: 0.5601
- Train Precision M: 0.4039
- Train Recall M: 0.9754
- Validation Loss: 0.1751
- Validation Accuracy: 0.9466
- Validation F1 M: 0.5620
- Validation Precision M: 0.4036
- Validation Recall M: 0.9696
- Epoch: 3

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 5306, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
| 0.2473     | 0.9048         | 0.5004     | 0.3720            | 0.8254         | 0.1669          | 0.9340              | 0.5489          | 0.3976                 | 0.9281              | 0     |
| 0.1350     | 0.9505         | 0.5530     | 0.4016            | 0.9485         | 0.1610          | 0.9420              | 0.5661          | 0.4073                 | 0.9706              | 1     |
| 0.0890     | 0.9685         | 0.5595     | 0.4035            | 0.9677         | 0.1719          | 0.9446              | 0.5691          | 0.4082                 | 0.9825              | 2     |
| 0.0650     | 0.9758         | 0.5601     | 0.4039            | 0.9754         | 0.1751          | 0.9466              | 0.5620          | 0.4036                 | 0.9696              | 3     |


### Framework versions

- Transformers 4.34.1
- TensorFlow 2.10.0
- Datasets 2.14.5
- Tokenizers 0.14.1