readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: german-poetry-gpt2-large
    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. -->
  
  # german-poetry-gpt2-large
  
  This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large) on German poems.
  It achieves the following results on the evaluation set:
  - eval_loss: 3.5753
  - eval_runtime: 100.7173
  - eval_samples_per_second: 51.6
  - eval_steps_per_second: 25.805
  - epoch: 4.0
  - step: 95544
  
  ## Model description
  
  large version of gpt-2
  
  ## Intended uses & limitations
  
  It could be used for poetry generation
  
  ## Training and evaluation data
  
  The model was trained on german poems from projekt Gutenberg
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 6
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.0
  - Tokenizers 0.12.1
  