readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_new2_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_new2_0020
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 2.6019
  - Validation Loss: 2.4890
  - 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 |
  |:----------:|:---------------:|:-----:|
  | 2.6241     | 2.5129          | 0     |
  | 2.6228     | 2.5112          | 1     |
  | 2.6216     | 2.5105          | 2     |
  | 2.6204     | 2.5101          | 3     |
  | 2.6191     | 2.5088          | 4     |
  | 2.6180     | 2.5064          | 5     |
  | 2.6166     | 2.5045          | 6     |
  | 2.6155     | 2.5038          | 7     |
  | 2.6143     | 2.5024          | 8     |
  | 2.6132     | 2.5009          | 9     |
  | 2.6120     | 2.5014          | 10    |
  | 2.6108     | 2.4984          | 11    |
  | 2.6097     | 2.4983          | 12    |
  | 2.6085     | 2.4976          | 13    |
  | 2.6073     | 2.4948          | 14    |
  | 2.6064     | 2.4945          | 15    |
  | 2.6052     | 2.4939          | 16    |
  | 2.6039     | 2.4925          | 17    |
  | 2.6030     | 2.4912          | 18    |
  | 2.6019     | 2.4890          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  