readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: bert-salvadoran-news
    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. -->
  
  # bert-salvadoran-news
  
  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.4210
  - Validation Loss: 1.5456
  - Epoch: 19
  
  ## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 2.1106     | 1.9331          | 0     |
  | 1.9666     | 1.7924          | 1     |
  | 1.8643     | 1.7777          | 2     |
  | 1.8090     | 1.7018          | 3     |
  | 1.7668     | 1.7372          | 4     |
  | 1.7337     | 1.6726          | 5     |
  | 1.6948     | 1.6624          | 6     |
  | 1.6584     | 1.6863          | 7     |
  | 1.6232     | 1.6174          | 8     |
  | 1.5996     | 1.6399          | 9     |
  | 1.5805     | 1.5340          | 10    |
  | 1.5622     | 1.6202          | 11    |
  | 1.5124     | 1.6176          | 12    |
  | 1.5150     | 1.5644          | 13    |
  | 1.5151     | 1.6002          | 14    |
  | 1.4730     | 1.5746          | 15    |
  | 1.4538     | 1.5536          | 16    |
  | 1.4507     | 1.5537          | 17    |
  | 1.4476     | 1.5450          | 18    |
  | 1.4210     | 1.5456          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  