readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: topic_classification_03
    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_03
  
  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: 1.0459
  - Train Sparse Categorical Accuracy: 0.6535
  - Validation Loss: 1.1181
  - Validation Sparse Categorical Accuracy: 0.6354
  - Epoch: 5
  
  ## 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 | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
  | 1.2710     | 0.5838                            | 1.1683          | 0.6156                                 | 0     |
  | 1.1546     | 0.6193                            | 1.1376          | 0.6259                                 | 1     |
  | 1.1163     | 0.6314                            | 1.1247          | 0.6292                                 | 2     |
  | 1.0888     | 0.6400                            | 1.1253          | 0.6323                                 | 3     |
  | 1.0662     | 0.6473                            | 1.1182          | 0.6344                                 | 4     |
  | 1.0459     | 0.6535                            | 1.1181          | 0.6354                                 | 5     |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.9.1
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  