readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_new2_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_new2_0080
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 2.5463
  - Validation Loss: 2.4318
  - 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 |
  |:----------:|:---------------:|:-----:|
  | 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    |
  | 2.6007     | 2.4889          | 20    |
  | 2.5998     | 2.4872          | 21    |
  | 2.5987     | 2.4865          | 22    |
  | 2.5977     | 2.4859          | 23    |
  | 2.5965     | 2.4844          | 24    |
  | 2.5956     | 2.4834          | 25    |
  | 2.5944     | 2.4821          | 26    |
  | 2.5934     | 2.4805          | 27    |
  | 2.5925     | 2.4790          | 28    |
  | 2.5914     | 2.4798          | 29    |
  | 2.5904     | 2.4777          | 30    |
  | 2.5893     | 2.4781          | 31    |
  | 2.5883     | 2.4755          | 32    |
  | 2.5872     | 2.4763          | 33    |
  | 2.5862     | 2.4743          | 34    |
  | 2.5851     | 2.4736          | 35    |
  | 2.5841     | 2.4732          | 36    |
  | 2.5831     | 2.4726          | 37    |
  | 2.5822     | 2.4691          | 38    |
  | 2.5812     | 2.4689          | 39    |
  | 2.5803     | 2.4670          | 40    |
  | 2.5792     | 2.4675          | 41    |
  | 2.5783     | 2.4650          | 42    |
  | 2.5773     | 2.4650          | 43    |
  | 2.5763     | 2.4625          | 44    |
  | 2.5754     | 2.4615          | 45    |
  | 2.5743     | 2.4619          | 46    |
  | 2.5735     | 2.4597          | 47    |
  | 2.5725     | 2.4594          | 48    |
  | 2.5715     | 2.4582          | 49    |
  | 2.5707     | 2.4568          | 50    |
  | 2.5699     | 2.4562          | 51    |
  | 2.5689     | 2.4565          | 52    |
  | 2.5680     | 2.4550          | 53    |
  | 2.5671     | 2.4536          | 54    |
  | 2.5661     | 2.4529          | 55    |
  | 2.5653     | 2.4513          | 56    |
  | 2.5644     | 2.4515          | 57    |
  | 2.5635     | 2.4510          | 58    |
  | 2.5626     | 2.4481          | 59    |
  | 2.5618     | 2.4481          | 60    |
  | 2.5610     | 2.4462          | 61    |
  | 2.5602     | 2.4461          | 62    |
  | 2.5594     | 2.4453          | 63    |
  | 2.5584     | 2.4444          | 64    |
  | 2.5576     | 2.4426          | 65    |
  | 2.5568     | 2.4425          | 66    |
  | 2.5560     | 2.4423          | 67    |
  | 2.5551     | 2.4413          | 68    |
  | 2.5542     | 2.4420          | 69    |
  | 2.5533     | 2.4379          | 70    |
  | 2.5525     | 2.4393          | 71    |
  | 2.5516     | 2.4376          | 72    |
  | 2.5509     | 2.4366          | 73    |
  | 2.5501     | 2.4349          | 74    |
  | 2.5492     | 2.4349          | 75    |
  | 2.5485     | 2.4329          | 76    |
  | 2.5477     | 2.4334          | 77    |
  | 2.5469     | 2.4321          | 78    |
  | 2.5463     | 2.4318          | 79    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  