readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: gpt3_model
    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. -->
  
  # gpt3_model
  
  This model is a fine-tuned version of [MJ199999/gpt3_model](https://huggingface.co/MJ199999/gpt3_model) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.4905
  - Train Lr: 0.0009999999
  - Epoch: 199
  
  ## 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': 'Adagrad', 'learning_rate': 0.0009999999, 'decay': 0.0, 'initial_accumulator_value': 0.1, 'epsilon': 1e-07}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Lr     | Epoch |
  |:----------:|:------------:|:-----:|
  | 5.1583     | 0.01         | 0     |
  | 3.9477     | 0.01         | 1     |
  | 2.9332     | 0.01         | 2     |
  | 2.1581     | 0.01         | 3     |
  | 1.6918     | 0.01         | 4     |
  | 1.3929     | 0.01         | 5     |
  | 1.2062     | 0.01         | 6     |
  | 1.0955     | 0.01         | 7     |
  | 1.0068     | 0.01         | 8     |
  | 0.9528     | 0.01         | 9     |
  | 0.9051     | 0.01         | 10    |
  | 0.8710     | 0.01         | 11    |
  | 0.8564     | 0.01         | 12    |
  | 0.8094     | 0.01         | 13    |
  | 0.8143     | 0.01         | 14    |
  | 0.7853     | 0.01         | 15    |
  | 0.7625     | 0.01         | 16    |
  | 0.7508     | 0.01         | 17    |
  | 0.7449     | 0.01         | 18    |
  | 0.7319     | 0.01         | 19    |
  | 0.7144     | 0.01         | 20    |
  | 0.7045     | 0.01         | 21    |
  | 0.7029     | 0.01         | 22    |
  | 0.6937     | 0.01         | 23    |
  | 0.6898     | 0.01         | 24    |
  | 0.6745     | 0.01         | 25    |
  | 0.6767     | 0.01         | 26    |
  | 0.6692     | 0.01         | 27    |
  | 0.6604     | 0.01         | 28    |
  | 0.6573     | 0.01         | 29    |
  | 0.6524     | 0.01         | 30    |
  | 0.6508     | 0.01         | 31    |
  | 0.6443     | 0.01         | 32    |
  | 0.6452     | 0.01         | 33    |
  | 0.6371     | 0.01         | 34    |
  | 0.6362     | 0.01         | 35    |
  | 0.6304     | 0.01         | 36    |
  | 0.6317     | 0.01         | 37    |
  | 0.6270     | 0.01         | 38    |
  | 0.6257     | 0.01         | 39    |
  | 0.6208     | 0.01         | 40    |
  | 0.6227     | 0.01         | 41    |
  | 0.6154     | 0.01         | 42    |
  | 0.6126     | 0.01         | 43    |
  | 0.6149     | 0.01         | 44    |
  | 0.6075     | 0.01         | 45    |
  | 0.6084     | 0.01         | 46    |
  | 0.6078     | 0.01         | 47    |
  | 0.6057     | 0.01         | 48    |
  | 0.6033     | 0.01         | 49    |
  | 0.6040     | 0.01         | 50    |
  | 0.5989     | 0.01         | 51    |
  | 0.5967     | 0.01         | 52    |
  | 0.5952     | 0.01         | 53    |
  | 0.5911     | 0.01         | 54    |
  | 0.5904     | 0.01         | 55    |
  | 0.5888     | 0.01         | 56    |
  | 0.5886     | 0.01         | 57    |
  | 0.5883     | 0.01         | 58    |
  | 0.5838     | 0.01         | 59    |
  | 0.5856     | 0.01         | 60    |
  | 0.5850     | 0.01         | 61    |
  | 0.5801     | 0.01         | 62    |
  | 0.5821     | 0.01         | 63    |
  | 0.5781     | 0.01         | 64    |
  | 0.5786     | 0.01         | 65    |
  | 0.5835     | 0.01         | 66    |
  | 0.5808     | 0.01         | 67    |
  | 0.5754     | 0.01         | 68    |
  | 0.5742     | 0.01         | 69    |
  | 0.5733     | 0.01         | 70    |
  | 0.5700     | 0.01         | 71    |
  | 0.5738     | 0.01         | 72    |
  | 0.5678     | 0.01         | 73    |
  | 0.5695     | 0.01         | 74    |
  | 0.5684     | 0.01         | 75    |
  | 0.5696     | 0.01         | 76    |
  | 0.5688     | 0.01         | 77    |
  | 0.5648     | 0.01         | 78    |
  | 0.5592     | 0.01         | 79    |
  | 0.5622     | 0.01         | 80    |
  | 0.5660     | 0.01         | 81    |
  | 0.5636     | 0.01         | 82    |
  | 0.5602     | 0.01         | 83    |
  | 0.5613     | 0.01         | 84    |
  | 0.5608     | 0.01         | 85    |
  | 0.5589     | 0.01         | 86    |
  | 0.5580     | 0.01         | 87    |
  | 0.5566     | 0.01         | 88    |
  | 0.5531     | 0.01         | 89    |
  | 0.5571     | 0.01         | 90    |
  | 0.5541     | 0.01         | 91    |
  | 0.5576     | 0.01         | 92    |
  | 0.5560     | 0.01         | 93    |
  | 0.5517     | 0.01         | 94    |
  | 0.5508     | 0.01         | 95    |
  | 0.5554     | 0.01         | 96    |
  | 0.5539     | 0.01         | 97    |
  | 0.5493     | 0.01         | 98    |
  | 0.5499     | 0.01         | 99    |
  | 0.4999     | 0.0009999999 | 100   |
  | 0.4981     | 0.0009999999 | 101   |
  | 0.4983     | 0.0009999999 | 102   |
  | 0.4984     | 0.00099