readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: beto_amazon_final_pnn
    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. -->
  
  # beto_amazon_final_pnn
  
  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.5242
  - Train Accuracy: 0.7838
  - Validation Loss: 0.6507
  - Validation Accuracy: 0.7284
  - Epoch: 4
  
  ## 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': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.6129     | 0.7496         | 0.6588          | 0.7248              | 0     |
  | 0.5850     | 0.7566         | 0.6505          | 0.7258              | 1     |
  | 0.5604     | 0.7704         | 0.6484          | 0.7278              | 2     |
  | 0.5407     | 0.7840         | 0.6503          | 0.7250              | 3     |
  | 0.5242     | 0.7838         | 0.6507          | 0.7284              | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - TensorFlow 2.8.0
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  