readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_new3_0035
    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_new3_0035
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 2.5161
  - Validation Loss: 2.3990
  - Epoch: 34
  
  ## 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 |
  |:----------:|:---------------:|:-----:|
  | 2.5407     | 2.4254          | 0     |
  | 2.5399     | 2.4247          | 1     |
  | 2.5391     | 2.4238          | 2     |
  | 2.5383     | 2.4232          | 3     |
  | 2.5375     | 2.4210          | 4     |
  | 2.5368     | 2.4210          | 5     |
  | 2.5361     | 2.4197          | 6     |
  | 2.5353     | 2.4193          | 7     |
  | 2.5345     | 2.4191          | 8     |
  | 2.5339     | 2.4177          | 9     |
  | 2.5332     | 2.4188          | 10    |
  | 2.5324     | 2.4160          | 11    |
  | 2.5317     | 2.4164          | 12    |
  | 2.5309     | 2.4145          | 13    |
  | 2.5302     | 2.4153          | 14    |
  | 2.5295     | 2.4139          | 15    |
  | 2.5288     | 2.4134          | 16    |
  | 2.5282     | 2.4123          | 17    |
  | 2.5274     | 2.4116          | 18    |
  | 2.5267     | 2.4110          | 19    |
  | 2.5259     | 2.4106          | 20    |
  | 2.5251     | 2.4097          | 21    |
  | 2.5244     | 2.4074          | 22    |
  | 2.5238     | 2.4078          | 23    |
  | 2.5232     | 2.4072          | 24    |
  | 2.5223     | 2.4062          | 25    |
  | 2.5217     | 2.4054          | 26    |
  | 2.5211     | 2.4057          | 27    |
  | 2.5204     | 2.4044          | 28    |
  | 2.5197     | 2.4026          | 29    |
  | 2.5189     | 2.4017          | 30    |
  | 2.5182     | 2.4026          | 31    |
  | 2.5176     | 2.4012          | 32    |
  | 2.5168     | 2.4013          | 33    |
  | 2.5161     | 2.3990          | 34    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  