readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-base-detox
    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. -->
  
  # bart-base-detox
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1819
  
  ## 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: 1e-05
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.5633        | 1.0   | 135  | 0.2524          |
  | 0.2589        | 2.0   | 270  | 0.2193          |
  | 0.2307        | 3.0   | 405  | 0.1993          |
  | 0.2171        | 4.0   | 540  | 0.2002          |
  | 0.2027        | 5.0   | 675  | 0.1937          |
  | 0.1946        | 6.0   | 810  | 0.1972          |
  | 0.1874        | 7.0   | 945  | 0.1917          |
  | 0.1853        | 8.0   | 1080 | 0.1868          |
  | 0.1811        | 9.0   | 1215 | 0.1890          |
  | 0.1776        | 10.0  | 1350 | 0.1871          |
  | 0.1798        | 11.0  | 1485 | 0.1858          |
  | 0.1745        | 12.0  | 1620 | 0.1820          |
  | 0.1689        | 13.0  | 1755 | 0.1827          |
  | 0.1707        | 14.0  | 1890 | 0.1843          |
  | 0.1658        | 15.0  | 2025 | 0.1834          |
  | 0.1647        | 16.0  | 2160 | 0.1820          |
  | 0.1645        | 17.0  | 2295 | 0.1837          |
  | 0.1633        | 18.0  | 2430 | 0.1814          |
  | 0.1612        | 19.0  | 2565 | 0.1815          |
  | 0.1603        | 20.0  | 2700 | 0.1819          |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.12.0.dev20220429
  - Datasets 2.1.0
  - Tokenizers 0.10.3
  