readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilgpt_oscarth_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_oscarth_0080
  
  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: 2.8143
  - Validation Loss: 2.7051
  - 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 |
  |:----------:|:---------------:|:-----:|
  | 5.6021     | 4.5759          | 0     |
  | 4.4536     | 4.1235          | 1     |
  | 4.1386     | 3.9013          | 2     |
  | 3.9546     | 3.7563          | 3     |
  | 3.8255     | 3.6477          | 4     |
  | 3.7271     | 3.5617          | 5     |
  | 3.6488     | 3.4936          | 6     |
  | 3.5844     | 3.4379          | 7     |
  | 3.5301     | 3.3891          | 8     |
  | 3.4833     | 3.3448          | 9     |
  | 3.4427     | 3.3098          | 10    |
  | 3.4068     | 3.2750          | 11    |
  | 3.3749     | 3.2425          | 12    |
  | 3.3462     | 3.2211          | 13    |
  | 3.3202     | 3.1941          | 14    |
  | 3.2964     | 3.1720          | 15    |
  | 3.2749     | 3.1512          | 16    |
  | 3.2548     | 3.1322          | 17    |
  | 3.2363     | 3.1141          | 18    |
  | 3.2188     | 3.0982          | 19    |
  | 3.2025     | 3.0818          | 20    |
  | 3.1871     | 3.0678          | 21    |
  | 3.1724     | 3.0533          | 22    |
  | 3.1583     | 3.0376          | 23    |
  | 3.1446     | 3.0256          | 24    |
  | 3.1318     | 3.0122          | 25    |
  | 3.1195     | 3.0016          | 26    |
  | 3.1079     | 2.9901          | 27    |
  | 3.0968     | 2.9826          | 28    |
  | 3.0863     | 2.9711          | 29    |
  | 3.0761     | 2.9593          | 30    |
  | 3.0665     | 2.9514          | 31    |
  | 3.0572     | 2.9432          | 32    |
  | 3.0483     | 2.9347          | 33    |
  | 3.0396     | 2.9250          | 34    |
  | 3.0313     | 2.9160          | 35    |
  | 3.0232     | 2.9095          | 36    |
  | 3.0153     | 2.9028          | 37    |
  | 3.0078     | 2.8949          | 38    |
  | 3.0004     | 2.8864          | 39    |
  | 2.9932     | 2.8799          | 40    |
  | 2.9864     | 2.8722          | 41    |
  | 2.9797     | 2.8657          | 42    |
  | 2.9731     | 2.8605          | 43    |
  | 2.9668     | 2.8544          | 44    |
  | 2.9606     | 2.8481          | 45    |
  | 2.9545     | 2.8421          | 46    |
  | 2.9487     | 2.8368          | 47    |
  | 2.9429     | 2.8288          | 48    |
  | 2.9374     | 2.8257          | 49    |
  | 2.9319     | 2.8204          | 50    |
  | 2.9266     | 2.8152          | 51    |
  | 2.9215     | 2.8093          | 52    |
  | 2.9164     | 2.8054          | 53    |
  | 2.9114     | 2.7998          | 54    |
  | 2.9066     | 2.7980          | 55    |
  | 2.9019     | 2.7913          | 56    |
  | 2.8972     | 2.7865          | 57    |
  | 2.8927     | 2.7816          | 58    |
  | 2.8883     | 2.7784          | 59    |
  | 2.8840     | 2.7741          | 60    |
  | 2.8798     | 2.7696          | 61    |
  | 2.8755     | 2.7650          | 62    |
  | 2.8714     | 2.7608          | 63    |
  | 2.8674     | 2.7571          | 64    |
  | 2.8634     | 2.7532          | 65    |
  | 2.8593     | 2.7482          | 66    |
  | 2.8555     | 2.7466          | 67    |
  | 2.8519     | 2.7417          | 68    |
  | 2.8481     | 2.7378          | 69    |
  | 2.8445     | 2.7345          | 70    |
  | 2.8410     | 2.7309          | 71    |
  | 2.8373     | 2.7273          | 72    |
  | 2.8339     | 2.7233          | 73    |
  | 2.8305     | 2.7225          | 74    |
  | 2.8272     | 2.7169          | 75    |
  | 2.8238     | 2.7133          | 76    |
  | 2.8206     | 2.7117          | 77    |
  | 2.8174     | 2.7090          | 78    |
  | 2.8143     | 2.7051          | 79    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  