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Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice
LayoutLMv3-Fine-Tuning-Invoice is a token classification model from Ammar-alhaj-ali. Use it when you need labels on individual words, such as names. It is set up for transformers.
LayoutLMv3-Fine-Tuning-Invoice Model is a fine-tuned version of microsoft/layoutlmv3-base on the invoice dataset. For the fine-tuning, We used Invoice Dataset that includes 12 labels ('Other', 'ABN', 'BILLER', 'BILLER…
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From the Hugging Face model README
LayoutLMv3-Fine-Tuning-Invoice Model is a fine-tuned version of microsoft/layoutlmv3-base on the invoice dataset. For the fine-tuning, We used Invoice Dataset that includes 12 labels ('Other', 'ABN', 'BILLER', 'BILLER_ADDRESS', 'BILLER_POST_CODE', 'DUE_DATE', 'GST', 'INVOICE_DATE', 'INVOICE_NUMBER', 'SUBTOTAL', 'TOTAL', 'BILLER_ADDRESS').
It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
| Training Loss | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|
| No log | 100 | 0.070030 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
| No log | 200 | 0.017637 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
| No log | 300 | 0.015573 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
| No log | 400 | 0.011000 | 0.973737 | 0.977688 | 0.978852 | 0.996419 |
| 0.110800 | 500 | 0.005334 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.110800 | 600 | 0.002994 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.110800 | 700 | 0.002330 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.110800 | 800 | 0.002188 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.110800 | 900 | 0.002105 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.004900 | 1000 | 0.002111 | 1.0 | 1.0 | 1.0 | 1.0 |