readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt2-finetuned-eap
    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. -->
  
  # distilgpt2-finetuned-eap
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.3557
  - Train Accuracy: 0.0010
  - Validation Loss: 7.4820
  - Validation Accuracy: 0.0
  - Epoch: 49
  
  ## 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': 0.0002, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 4.6280     | 0.0015         | 4.3578          | 0.0013              | 0     |
  | 4.2572     | 0.0018         | 4.2845          | 0.0013              | 1     |
  | 4.0662     | 0.0018         | 4.2587          | 0.0012              | 2     |
  | 3.9066     | 0.0016         | 4.2470          | 0.0012              | 3     |
  | 3.7578     | 0.0016         | 4.2493          | 0.0013              | 4     |
  | 3.6177     | 0.0018         | 4.2728          | 0.0013              | 5     |
  | 3.4741     | 0.0017         | 4.3208          | 0.0012              | 6     |
  | 3.3366     | 0.0017         | 4.3542          | 0.0012              | 7     |
  | 3.1946     | 0.0016         | 4.3973          | 0.0012              | 8     |
  | 3.0581     | 0.0016         | 4.4947          | 0.0014              | 9     |
  | 2.9171     | 0.0017         | 4.5970          | 0.0013              | 10    |
  | 2.7766     | 0.0016         | 4.6691          | 0.0014              | 11    |
  | 2.6373     | 0.0015         | 4.7961          | 0.0012              | 12    |
  | 2.4986     | 0.0014         | 4.8906          | 0.0002              | 13    |
  | 2.3600     | 0.0015         | 4.9836          | 0.0002              | 14    |
  | 2.2307     | 0.0014         | 5.1439          | 0.0001              | 15    |
  | 2.1054     | 0.0015         | 5.3017          | 0.0001              | 16    |
  | 1.9798     | 0.0015         | 5.4037          | 0.0001              | 17    |
  | 1.8679     | 0.0014         | 5.5184          | 0.0001              | 18    |
  | 1.7544     | 0.0013         | 5.6429          | 0.0001              | 19    |
  | 1.6486     | 0.0013         | 5.7368          | 0.0001              | 20    |
  | 1.5492     | 0.0013         | 5.8070          | 0.0001              | 21    |
  | 1.4525     | 0.0013         | 5.9248          | 0.0001              | 22    |
  | 1.3725     | 0.0013         | 5.9879          | 0.0                 | 23    |
  | 1.2901     | 0.0011         | 6.1063          | 0.0001              | 24    |
  | 1.2178     | 0.0014         | 6.1828          | 0.0001              | 25    |
  | 1.1429     | 0.0012         | 6.2581          | 0.0001              | 26    |
  | 1.0831     | 0.0011         | 6.3003          | 0.0000              | 27    |
  | 1.0266     | 0.0012         | 6.3558          | 0.0001              | 28    |
  | 0.9673     | 0.0012         | 6.4831          | 0.0000              | 29    |
  | 0.9116     | 0.0012         | 6.5555          | 0.0                 | 30    |
  | 0.8652     | 0.0012         | 6.6239          | 0.0                 | 31    |
  | 0.8198     | 0.0013         | 6.6751          | 0.0                 | 32    |
  | 0.7795     | 0.0013         | 6.7499          | 0.0                 | 33    |
  | 0.7410     | 0.0010         | 6.7741          | 0.0000              | 34    |
  | 0.7015     | 0.0012         | 6.8395          | 0.0000              | 35    |
  | 0.6679     | 0.0011         | 6.9150          | 0.0                 | 36    |
  | 0.6367     | 0.0010         | 6.9847          | 0.0                 | 37    |
  | 0.6034     | 0.0011         | 7.0334          | 0.0001              | 38    |
  | 0.5756     | 0.0010         | 7.0516          | 0.0000              | 39    |
  | 0.5442     | 0.0011         | 7.1220          | 0.0                 | 40    |
  | 0.5188     | 0.0010         | 7.1494          | 0.0000              | 41    |
  | 0.4971     | 0.0010         | 7.2100          | 0.0                 | 42    |
  | 0.4711     | 0.0010         | 7.2883          | 0.0001              | 43    |
  | 0.4501     | 0.0011         | 7.2946          | 0.0                 | 44    |
  | 0.4274     | 0.0011         | 7.3313          | 0.0001              | 45    |
  | 0.4066     | 0.0011         | 7.3620       