readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-simpsons
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # gpt2-simpsons
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3643
  
  ## 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:
  - learning_rate: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 6877
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.319         | 1.0   | 860  | 3.4223          |
  | 3.1458        | 2.0   | 1720 | 3.3075          |
  | 3.0161        | 3.0   | 2580 | 3.2596          |
  | 2.9279        | 4.0   | 3440 | 3.2313          |
  | 2.8508        | 5.0   | 4300 | 3.2176          |
  | 2.7454        | 6.0   | 5160 | 3.2237          |
  | 2.6928        | 7.0   | 6020 | 3.2381          |
  | 2.5962        | 8.0   | 6880 | 3.2617          |
  | 2.4645        | 9.0   | 7740 | 3.3105          |
  | 2.3415        | 10.0  | 8600 | 3.3643          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Tokenizers 0.13.2
  