| license: cc-by-nc-sa-4.0 | |
| base_model: microsoft/layoutlmv3-base | |
| datasets: | |
| - nielsr/funsd-layoutlmv3 | |
| metrics: | |
| - f1 | |
| # TrustDoc Field Extractor | |
| LayoutLMv3-base fine-tuned for token classification (HEADER/QUESTION/ANSWER field extraction on | |
| forms), part of the TrustDoc project -- a document AI trust layer with calibrated confidence for | |
| human-in-the-loop review. | |
| - **Base model:** [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) | |
| (CC BY-NC-SA 4.0 -- **non-commercial use only**, inherited by this fine-tune) | |
| - **Training data:** [nielsr/funsd-layoutlmv3](https://huggingface.co/datasets/nielsr/funsd-layoutlmv3) | |
| (149 train / 50 test forms) | |
| - **Test set micro-avg F1:** 0.862 | |
| ## Limitations | |
| FUNSD is a small (199-document) benchmark of noisy scanned forms -- strong results here don't | |
| guarantee generalization to arbitrary document layouts. See the TrustDoc repo for the full | |
| pipeline (OCR -> classify -> extract -> calibrate) and its limitations. | |