readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: beto_stars
    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_stars
  
  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: 0.8954
  - Train Accuracy: 0.6248
  - Validation Loss: 1.1278
  - Validation Accuracy: 0.5148
  - Epoch: 14
  
  ## 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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 1.5935     | 0.2626         | 1.5553          | 0.3482              | 0     |
  | 1.5072     | 0.3782         | 1.4289          | 0.4188              | 1     |
  | 1.3590     | 0.4312         | 1.2929          | 0.4406              | 2     |
  | 1.2463     | 0.4628         | 1.2197          | 0.4682              | 3     |
  | 1.1754     | 0.4970         | 1.1785          | 0.4830              | 4     |
  | 1.1299     | 0.5114         | 1.1533          | 0.4908              | 5     |
  | 1.0847     | 0.5362         | 1.1398          | 0.5006              | 6     |
  | 1.0492     | 0.5440         | 1.1273          | 0.5046              | 7     |
  | 1.0278     | 0.5592         | 1.1237          | 0.5034              | 8     |
  | 1.0031     | 0.5690         | 1.1171          | 0.5118              | 9     |
  | 0.9798     | 0.5712         | 1.1163          | 0.5120              | 10    |
  | 0.9598     | 0.5894         | 1.1180          | 0.5114              | 11    |
  | 0.9406     | 0.5964         | 1.1219          | 0.5122              | 12    |
  | 0.9178     | 0.6104         | 1.1269          | 0.5150              | 13    |
  | 0.8954     | 0.6248         | 1.1278          | 0.5148              | 14    |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - TensorFlow 2.8.0
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  