Theivaprakasham
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README.md
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should probably proofread and complete it, then remove this comment. -->
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# layoutlmv3-finetuned-invoice
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the invoice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0012
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- Precision: 1.0
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# LayoutLM-v3 model fine-tuned on invoice dataset
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the invoice dataset.
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We use Microsoft’s LayoutLMv3 trained on Invoice Dataset to predict the Biller Name, Biller Address, Biller post_code, Due_date, GST, Invoice_date, Invoice_number, Subtotal and Total. To use it, simply upload an image or use the example image below. Results will show up in a few seconds.
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It achieves the following results on the evaluation set:
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- Loss: 0.0012
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- Precision: 1.0
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