readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_new_0080
    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_0080
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 2.7983
  - Validation Loss: 2.6896
  - Epoch: 79
  
  ## 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    |
  | 3.1739     | 3.0520          | 20    |
  | 3.1584     | 3.0379          | 21    |
  | 3.1438     | 3.0255          | 22    |
  | 3.1300     | 3.0116          | 23    |
  | 3.1168     | 2.9965          | 24    |
  | 3.1044     | 2.9866          | 25    |
  | 3.0925     | 2.9752          | 26    |
  | 3.0812     | 2.9631          | 27    |
  | 3.0704     | 2.9539          | 28    |
  | 3.0601     | 2.9458          | 29    |
  | 3.0502     | 2.9340          | 30    |
  | 3.0408     | 2.9251          | 31    |
  | 3.0317     | 2.9179          | 32    |
  | 3.0230     | 2.9082          | 33    |
  | 3.0147     | 2.9002          | 34    |
  | 3.0065     | 2.8948          | 35    |
  | 2.9987     | 2.8855          | 36    |
  | 2.9911     | 2.8779          | 37    |
  | 2.9838     | 2.8706          | 38    |
  | 2.9767     | 2.8643          | 39    |
  | 2.9698     | 2.8570          | 40    |
  | 2.9632     | 2.8501          | 41    |
  | 2.9567     | 2.8441          | 42    |
  | 2.9505     | 2.8385          | 43    |
  | 2.9445     | 2.8327          | 44    |
  | 2.9385     | 2.8260          | 45    |
  | 2.9329     | 2.8213          | 46    |
  | 2.9272     | 2.8160          | 47    |
  | 2.9217     | 2.8107          | 48    |
  | 2.9162     | 2.8052          | 49    |
  | 2.9110     | 2.8020          | 50    |
  | 2.9060     | 2.7938          | 51    |
  | 2.9010     | 2.7896          | 52    |
  | 2.8962     | 2.7857          | 53    |
  | 2.8913     | 2.7827          | 54    |
  | 2.8866     | 2.7768          | 55    |
  | 2.8821     | 2.7724          | 56    |
  | 2.8776     | 2.7679          | 57    |
  | 2.8733     | 2.7642          | 58    |
  | 2.8691     | 2.7610          | 59    |
  | 2.8649     | 2.7556          | 60    |
  | 2.8607     | 2.7513          | 61    |
  | 2.8568     | 2.7485          | 62    |
  | 2.8529     | 2.7424          | 63    |
  | 2.8490     | 2.7395          | 64    |
  | 2.8452     | 2.7383          | 65    |
  | 2.8414     | 2.7325          | 66    |
  | 2.8378     | 2.7292          | 67    |
  | 2.8343     | 2.7251          | 68    |
  | 2.8307     | 2.7206          | 69    |
  | 2.8273     | 2.7177          | 70    |
  | 2.8237     | 2.7138          | 71    |
  | 2.8204     | 2.7093          | 72    |
  | 2.8171     | 2.7073          | 73    |
  | 2.8139     | 2.7057          | 74    |
  | 2.8106     | 2.7029          | 75    |
  | 2.8075     | 2.6991          | 76    |
  | 2.8043     | 2.6961          | 77    |
  | 2.8013     | 2.6929          | 78    |
  | 2.7983     | 2.6896          | 79    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  