readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: kant-gpt2-large
    results: []
  ---
  
  # kant-gpt2-large
  
  This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large). It was trained on the "Akademie Ausgabe" of the works of Immanuel Kant. 
  It achieves the following results on the evaluation set:
  - Loss: 3.4257
  
  ## Model description
  
  A large version of gpt2 
  
  ## Intended uses & limitations
  
  It could be used for the analysis of knowledge representation in and extraction from large language models
  
  ## Training and evaluation data
  
  Akademie Ausgabe Immanuel Kant
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.4094        | 1.0   | 11308 | 3.3838          |
  | 3.0445        | 2.0   | 22616 | 3.3107          |
  | 2.7161        | 3.0   | 33924 | 3.3409          |
  | 2.4793        | 4.0   | 45232 | 3.4257          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  