readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: gabrielgmendonca/bert-base-portuguese-cased-finetuned-enjoei
    results: []
  ---
  
  # gabrielgmendonca/bert-base-portuguese-cased-finetuned-enjoei
  
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
  on a teaching dataset extracted from https://www.enjoei.com.br/.
  
  It achieves the following results on the evaluation set:
  - Train Loss: 6.0784
  - Validation Loss: 5.2882
  - Epoch: 2
  
  ## Intended uses & limitations
  
  This model is intended for **educational purposes**. 
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -985, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 6.3618     | 5.7723          | 0     |
  | 6.3353     | 5.4076          | 1     |
  | 6.0784     | 5.2882          | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  