| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| tags: |
| - layoutlmv3 |
| - token-classification |
| - invoice-extraction |
| - document-ai |
| - invoiceguard |
| datasets: |
| - Kwash67/layoutlmv3-invoice-dataset |
| metrics: |
| - seqeval |
| --- |
| |
| # 🛡️ InvoiceGuard LayoutLMv3 Invoice Extractor |
|
|
| Fine-tuned `microsoft/layoutlmv3-base` model for multimodal token classification and Key Information Extraction (KIE) on commercial invoices. |
|
|
| ## Model Details |
| - **Base Architecture**: `microsoft/layoutlmv3-base` |
| - **Task**: Multimodal Document Token Classification |
| - **Dataset**: `Kwash67/layoutlmv3-invoice-dataset` (~2,043 train / 70 val / 125 test) |
| - **Training Epochs**: 12 (lr=3e-5, warmup=10%, batch=4, grad_acc=2) |
| - **Mixed Precision**: fp16 |
| |
| ## Test Set Metrics (Seqeval Entity-Level) |
| | Metric | Score | |
| | :--- | :--- | |
| | **Overall F1** | 0.7244 | |
| | **Overall Precision** | 0.7167 | |
| | **Overall Recall** | 0.7324 | |
| |
| ## InvoiceGuard Schema Mapping |
| Maps dataset entities to 21 canonical InvoiceGuard fields: |
| `invoice_number`, `invoice_date`, `due_date`, `seller`, `client`, `seller_tax_id`, `client_tax_id`, `iban`, `item_desc`, `item_qty`, `item_net_price`, `item_net_worth`, `item_vat`, `item_gross_worth`, `subtotal`, `total_vat`, `total_gross_worth`, `currency`, `discount`, `shipping`, `payment_terms`. |
| |
| ## Limitations |
| - Optimized for invoices with bounding boxes normalized to `[0..1000]`. |
| - Highly dependent on OCR word-level segmentation accuracy. |
| |
