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- fastai |
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# Model card |
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## Model description |
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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. |
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## Model performance |
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The model achieved around 96% accuracy on a held-out validation dataset. |
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## Inference demonstration |
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You can test out the model's ability to detect whether a document is redacted [here](https://huggingface.co/spaces/strickvl/fastai_redaction_classifier). |
