readme: ---
  tags:
  - fastai
  ---
  
  # Model card
  
  ## Model description
  This model was fine-tuned on `resnet18` for 10 epochs using training data described in [this blogpost](https://mlops.systems/fastai/redactionmodel/computervision/datalabelling/2021/09/06/redaction-classification-chapter-2.html). The model was trained using the [fastai](https://github.com/fastai/fastai) library.
  
  ## Model performance
  The model achieved around 96% accuracy on a held-out validation dataset.
  
  ## Inference demonstration
  You can test out the model's ability to detect whether a document is redacted [here](https://huggingface.co/spaces/strickvl/fastai_redaction_classifier).