readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Ashraf-kasem/custom_gpt2_frames_text_original_tokenizer
    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/custom_gpt2_frames_text_original_tokenizer
  
  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: 1.1074
  - Validation Loss: 1.6432
  - Epoch: 29
  
  ## 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': 240780, '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 | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 4.3075     | 3.4095          | 0     |
  | 3.1973     | 2.8234          | 1     |
  | 2.7420     | 2.5057          | 2     |
  | 2.4541     | 2.3022          | 3     |
  | 2.2507     | 2.1648          | 4     |
  | 2.0962     | 2.0612          | 5     |
  | 1.9736     | 1.9885          | 6     |
  | 1.8729     | 1.9286          | 7     |
  | 1.7883     | 1.8823          | 8     |
  | 1.7153     | 1.8448          | 9     |
  | 1.6517     | 1.8113          | 10    |
  | 1.5953     | 1.7864          | 11    |
  | 1.5446     | 1.7624          | 12    |
  | 1.4994     | 1.7459          | 13    |
  | 1.4578     | 1.7294          | 14    |
  | 1.4200     | 1.7171          | 15    |
  | 1.3851     | 1.7026          | 16    |
  | 1.3528     | 1.6958          | 17    |
  | 1.3229     | 1.6846          | 18    |
  | 1.2950     | 1.6760          | 19    |
  | 1.2690     | 1.6704          | 20    |
  | 1.2448     | 1.6650          | 21    |
  | 1.2223     | 1.6599          | 22    |
  | 1.2012     | 1.6539          | 23    |
  | 1.1815     | 1.6534          | 24    |
  | 1.1635     | 1.6486          | 25    |
  | 1.1470     | 1.6457          | 26    |
  | 1.1318     | 1.6443          | 27    |
  | 1.1185     | 1.6434          | 28    |
  | 1.1074     | 1.6432          | 29    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  