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Training in progress epoch 2
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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: 0.0733
  • Train Accuracy: 0.9750
  • Train F1 M: 0.5536
  • Train Precision M: 0.4010
  • Train Recall M: 0.9577
  • Validation Loss: 0.1758
  • Validation Accuracy: 0.9426
  • Validation F1 M: 0.5568
  • Validation Precision M: 0.4015
  • Validation Recall M: 0.9529
  • Epoch: 2

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
0.1186 0.9551 0.5516 0.4007 0.9397 0.1621 0.9347 0.5628 0.4068 0.9580 1
0.0733 0.9750 0.5536 0.4010 0.9577 0.1758 0.9426 0.5568 0.4015 0.9529 2

Framework versions

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