readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2_ft_police_articles
    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_ft_police_articles
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6316
  
  ## 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: 2
  - eval_batch_size: 20
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.9126        | 1.0   | 500  | 1.8163          |
  | 1.7955        | 2.0   | 1000 | 1.7321          |
  | 1.6286        | 3.0   | 1500 | 1.6934          |
  | 1.5687        | 4.0   | 2000 | 1.6636          |
  | 1.5136        | 5.0   | 2500 | 1.6465          |
  | 1.4146        | 6.0   | 3000 | 1.6383          |
  | 1.3804        | 7.0   | 3500 | 1.6353          |
  | 1.3458        | 8.0   | 4000 | 1.6316          |
  | 1.287         | 9.0   | 4500 | 1.6415          |
  | 1.3406        | 10.0  | 5000 | 1.6409          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  