readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: resume_sorter
    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. -->
  
  # resume_sorter
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.6000
  - Train Accuracy: 0.9309
  - Epoch: 6
  
  ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 225, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Epoch |
  |:----------:|:--------------:|:-----:|
  | 3.0338     | 0.3025         | 0     |
  | 2.5856     | 0.6257         | 1     |
  | 2.1253     | 0.8646         | 2     |
  | 1.7760     | 0.9144         | 3     |
  | 1.6245     | 0.9309         | 4     |
  | 1.5916     | 0.9309         | 5     |
  | 1.6000     | 0.9309         | 6     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  