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# gustavokpc/bert-base-portuguese-cased_LRATE_8e-06_EPOCHS_6

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: 0.0760
- Train Accuracy: 0.9736
- Train F1 M: 0.5546
- Train Precision M: 0.4022
- Train Recall M: 0.9573
- Validation Loss: 0.1946
- Validation Accuracy: 0.9373
- Validation F1 M: 0.5597
- Validation Precision M: 0.4031
- Validation Recall M: 0.9604
- 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': 8e-06, 'decay_steps': 4548, '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 |
|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
| 0.2551     | 0.8979         | 0.4816     | 0.3610            | 0.7830         | 0.1728          | 0.9321              | 0.5389          | 0.3930                 | 0.9010              | 0     |
| 0.1422     | 0.9482         | 0.5464     | 0.3984            | 0.9255         | 0.1703          | 0.9334              | 0.5630          | 0.4084                 | 0.9522              | 1     |
| 0.1011     | 0.9626         | 0.5514     | 0.4011            | 0.9448         | 0.1802          | 0.9400              | 0.5506          | 0.3983                 | 0.9366              | 2     |
| 0.0760     | 0.9736         | 0.5546     | 0.4022            | 0.9573         | 0.1946          | 0.9373              | 0.5597          | 0.4031                 | 0.9604              | 3     |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "neuralmind/bert-base-portuguese-cased", "model-index": [{"name": "gustavokpc/bert-base-portuguese-cased_LRATE_8e-06_EPOCHS_6", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback base_model:neuralmind/bert-base-portuguese-cased license:mit autotrain_compatible endpoints_compatible region:us