readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Thalesian/SciGPT-2-finetuned-papers
    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. -->
  
  # Thalesian/SciGPT-2-finetuned-papers
  
  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: 1.8928
  - Validation Loss: 2.0726
  - 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', 'clipvalue': 0.7, 'learning_rate': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 1.8976     | 2.0729          | 0     |
  | 1.8954     | 2.0728          | 1     |
  | 1.8942     | 2.0725          | 2     |
  | 1.8937     | 2.0726          | 3     |
  | 1.8932     | 2.0727          | 4     |
  | 1.8929     | 2.0727          | 5     |
  | 1.8929     | 2.0727          | 6     |
  | 1.8926     | 2.0726          | 7     |
  | 1.8928     | 2.0726          | 8     |
  | 1.8926     | 2.0726          | 9     |
  | 1.8927     | 2.0726          | 10    |
  | 1.8927     | 2.0726          | 11    |
  | 1.8927     | 2.0726          | 12    |
  | 1.8926     | 2.0726          | 13    |
  | 1.8927     | 2.0726          | 14    |
  | 1.8927     | 2.0726          | 15    |
  | 1.8927     | 2.0726          | 16    |
  | 1.8927     | 2.0726          | 17    |
  | 1.8927     | 2.0726          | 18    |
  | 1.8928     | 2.0726          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.8.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  