readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: tolkien-mythopoeic-gen
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
  ---
  
  <!-- 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. -->
  
  # tolkien-mythopoeic-gen
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on Tolkien's mythopoeic works, namely The Silmarillion and Unfinished Tales of Numenor and Middle Earth.
  
  It achieves the following results on the evaluation set:
  - Loss: 3.5110
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.5732        | 1.0   | 145  | 3.5110          |
  | 3.5713        | 2.0   | 290  | 3.5110          |
  | 3.5718        | 3.0   | 435  | 3.5110          |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.9.0+cu102
  - Tokenizers 0.10.3
  