readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: guma/distilgpt2-finetuned-shakespeare
    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. -->
  
  # guma/distilgpt2-finetuned-shakespeare
  
  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: 3.1769
  - Validation Loss: 3.5116
  - Epoch: 19
  
  ## 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 |
  |:----------:|:---------------:|:-----:|
  | 4.2136     | 3.8303          | 0     |
  | 3.8997     | 3.6993          | 1     |
  | 3.7790     | 3.6344          | 2     |
  | 3.7061     | 3.5923          | 3     |
  | 3.6476     | 3.5653          | 4     |
  | 3.6003     | 3.5513          | 5     |
  | 3.5578     | 3.5360          | 6     |
  | 3.5204     | 3.5277          | 7     |
  | 3.4843     | 3.5171          | 8     |
  | 3.4514     | 3.5117          | 9     |
  | 3.4194     | 3.5048          | 10    |
  | 3.3903     | 3.5040          | 11    |
  | 3.3627     | 3.5006          | 12    |
  | 3.3332     | 3.5006          | 13    |
  | 3.3052     | 3.5019          | 14    |
  | 3.2772     | 3.5051          | 15    |
  | 3.2514     | 3.5043          | 16    |
  | 3.2249     | 3.5026          | 17    |
  | 3.2019     | 3.5129          | 18    |
  | 3.1769     | 3.5116          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - TensorFlow 2.8.2
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  