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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- nielsr/funsd-layoutlmv3 |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: layoutlmv3-finetuned-funsd |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: nielsr/funsd-layoutlmv3 |
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type: nielsr/funsd-layoutlmv3 |
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args: funsd |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.918177 |
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- name: Recall |
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type: recall |
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value: 0.930949 |
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- name: F1 |
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type: f1 |
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value: 0.924519 |
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- name: Accuracy |
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type: accuracy |
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value: 0.859979 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# layoutlmv3-finetuned-funsd |
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the nielsr/funsd-layoutlmv3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.038318 |
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- Precision: 0.918177 |
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- Recall: 0.930949 |
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- F1: 0.924519 |
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- Accuracy: 0.859979 |
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