readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: eggformer
    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. -->
  
  # eggformer
  
  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: 0.2565
  - Epoch: 23
  
  ## 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': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Epoch |
  |:----------:|:-----:|
  | 0.3442     | 0     |
  | 0.3503     | 1     |
  | 0.3242     | 2     |
  | 0.3346     | 3     |
  | 0.3267     | 4     |
  | 0.3095     | 5     |
  | 0.3186     | 6     |
  | 0.3137     | 7     |
  | 0.2975     | 8     |
  | 0.3090     | 9     |
  | 0.2876     | 10    |
  | 0.2876     | 11    |
  | 0.2882     | 12    |
  | 0.2980     | 13    |
  | 0.2847     | 14    |
  | 0.2923     | 15    |
  | 0.2764     | 16    |
  | 0.2658     | 17    |
  | 0.2727     | 18    |
  | 0.2684     | 19    |
  | 0.2711     | 20    |
  | 0.2715     | 21    |
  | 0.2570     | 22    |
  | 0.2565     | 23    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  