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update README

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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # nlp-redaction-classifier
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- This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0893
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  - Pearson: 0.8273
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Redaction Classifier: NLP Edition
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+ This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on a custom dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0893
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  - Pearson: 0.8273
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  ## Model description
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+ Read more about the process and the code used to train this model on my blog [here](https://mlops.systems).
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  ## Intended uses & limitations
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