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magorshunov-layoutlm-invoices/README.md

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+![Cover](https://user-images.githubusercontent.com/66431403/267597217-2285216a-209c-466b-a0da-ab610356c2af.png)
+
+# layoutlm-invoices
+
+## DagsHub Repository: https://dagshub.com/Rutam21/layoutlm-invoices
+
+## Source: [HuggingFace layoutlm-invoices Model](https://huggingface.co/magorshunov/layoutlm-invoices)
+
+# Description
+
+This is a fine-tuned version of the multi-modal LayoutLM model for the task of question answering on invoices and other documents. It has been fine-tuned on a proprietary dataset of invoices as well as both SQuAD2.0 and DocVQA for general comprehension.
+
+# Fine Tune Results
+
+## Non-consecutive tokens
+
+Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional classifier head. For example, QA models often encounter this failure mode:
+
+### Before
+
+![Before Results](https://dagshub.com/Rutam21/layoutlm-invoices/raw/main/before.png)
+
+### After
+
+However this model is able to predict non-consecutive tokens and therefore the address correctly.
+
+![After Results](https://dagshub.com/Rutam21/layoutlm-invoices/raw/main/after.png)
+
+# License
+
+This model is available on HuggingFace under the CC by NC-SA 4.0 License.
+
+# Citation
+
+```citation
+This model was created by the team at Impira.
+```