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LayoutLMv3-Fine-Tuning-FUNSD

Token Classification Transformers PyTorch

layoutlmv3 generated_from_trainer Eval Results Inference Endpoints

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layoutlmv3-finetuned-funsd

This model is a fine-tuned version of microsoft/layoutlmv3-base on the nielsr/funsd-layoutlmv3 dataset. It achieves the following results on the evaluation set:

Loss: 1.038318
Precision: 0.918177
Recall: 0.930949
F1: 0.924519
Accuracy: 0.859979

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Dataset used to train Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-FUNSD

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Evaluation results

Precision on nielsr/funsd-layoutlmv3
self-reported

0.918
Recall on nielsr/funsd-layoutlmv3
self-reported

0.931
F1 on nielsr/funsd-layoutlmv3
self-reported

0.925
Accuracy on nielsr/funsd-layoutlmv3
self-reported

0.860

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