readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: uigen
    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. -->
  
  # uigen
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.3446
  - Train Accuracy: 0.0562
  - Epoch: 9
  
  ## 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': 1e-10, '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 | Train Accuracy | Epoch |
  |:----------:|:--------------:|:-----:|
  | 1.1032     | 0.0465         | 0     |
  | 1.1528     | 0.0360         | 1     |
  | 0.8270     | 0.0294         | 2     |
  | 1.3304     | 0.0317         | 3     |
  | 0.9404     | 0.0229         | 4     |
  | 1.1262     | 0.0616         | 5     |
  | 1.1231     | 0.0571         | 6     |
  | 0.9653     | 0.0149         | 7     |
  | 0.9148     | 0.0250         | 8     |
  | 1.3446     | 0.0562         | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  