readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay
    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. -->
  
  # Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 3.9746
  - Train Accuracy: 0.0063
  - Validation Loss: 4.3079
  - Validation Accuracy: 0.0044
  - Epoch: 2
  
  ## 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': 5e-05, 'decay_steps': 14676, '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-07, 'amsgrad': False}
  - training_precision: mixed_float16
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 4.6420     | 0.0092         | 4.4445          | 0.0056              | 0     |
  | 4.1331     | 0.0067         | 4.3297          | 0.0047              | 1     |
  | 3.9746     | 0.0063         | 4.3079          | 0.0044              | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  