readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_new_0020
    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. -->
  
  # distilgpt_new_0020
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 3.1904
  - Validation Loss: 3.0689
  - Epoch: 19
  
  ## 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': 2e-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 | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 5.6632     | 4.5153          | 0     |
  | 4.4292     | 4.0923          | 1     |
  | 4.1169     | 3.8723          | 2     |
  | 3.9326     | 3.7260          | 3     |
  | 3.8026     | 3.6281          | 4     |
  | 3.7045     | 3.5355          | 5     |
  | 3.6254     | 3.4645          | 6     |
  | 3.5604     | 3.4093          | 7     |
  | 3.5048     | 3.3587          | 8     |
  | 3.4569     | 3.3136          | 9     |
  | 3.4155     | 3.2778          | 10    |
  | 3.3791     | 3.2443          | 11    |
  | 3.3470     | 3.2157          | 12    |
  | 3.3183     | 3.1854          | 13    |
  | 3.2922     | 3.1642          | 14    |
  | 3.2685     | 3.1400          | 15    |
  | 3.2467     | 3.1193          | 16    |
  | 3.2267     | 3.1009          | 17    |
  | 3.2078     | 3.0838          | 18    |
  | 3.1904     | 3.0689          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  