readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: topic_classification_04
    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. -->
  
  # topic_classification_04
  
  This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.8325
  - Train Sparse Categorical Accuracy: 0.7237
  - 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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Sparse Categorical Accuracy | Epoch |
  |:----------:|:---------------------------------:|:-----:|
  | 1.0735     | 0.6503                            | 0     |
  | 0.9742     | 0.6799                            | 1     |
  | 0.9424     | 0.6900                            | 2     |
  | 0.9199     | 0.6970                            | 3     |
  | 0.9016     | 0.7026                            | 4     |
  | 0.8853     | 0.7073                            | 5     |
  | 0.8707     | 0.7120                            | 6     |
  | 0.8578     | 0.7160                            | 7     |
  | 0.8448     | 0.7199                            | 8     |
  | 0.8325     | 0.7237                            | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.9.1
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  