metadata

license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: gustavokpc/bert-base-portuguese-cased_LRATE_2e-05_EPOCHS_5
    results: []

gustavokpc/bert-base-portuguese-cased_LRATE_2e-05_EPOCHS_5

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:

Train Loss: 0.2270
Train Accuracy: 0.9119
Train F1 M: 0.5181
Train Precision M: 0.3865
Train Recall M: 0.8561
Validation Loss: 0.1618
Validation Accuracy: 0.9367
Validation F1 M: 0.5592
Validation Precision M: 0.4050
Validation Recall M: 0.9478
Epoch: 0

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': 2e-05, 'decay_steps': 3790, '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
0.2270	0.9119	0.5181	0.3865	0.8561	0.1618	0.9367	0.5592	0.4050	0.9478	0

Framework versions

Transformers 4.34.1
TensorFlow 2.10.0
Datasets 2.14.5
Tokenizers 0.14.1