readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-largeforbiddentoystory
    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-largeforbiddentoystory
  
  This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1643
  
  ## 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: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 9
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 110  | 2.6384          |
  | No log        | 2.0   | 220  | 2.1784          |
  | No log        | 3.0   | 330  | 1.8316          |
  | No log        | 4.0   | 440  | 1.5842          |
  | 2.407         | 5.0   | 550  | 1.4129          |
  | 2.407         | 6.0   | 660  | 1.2985          |
  | 2.407         | 7.0   | 770  | 1.2222          |
  | 2.407         | 8.0   | 880  | 1.1786          |
  | 2.407         | 9.0   | 990  | 1.1643          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.0+cu116
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  