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  value: 0.8655
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- # Document Understanding model (finetuned LiLT base at paragraph level on DocLayNet base)
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  This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) with the [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) dataset.
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  It achieves the following results on the evaluation set:
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  | 0.0246 | 3.84 | 7200 | 0.9688 | 0.7695 | 0.1333 | 0.7986 | 0.7424 |
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  | 0.0246 | 3.94 | 7400 | 0.1796 | 0.8062 | 0.7441 | 0.7739 | 0.9693 |
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  ### Framework versions
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  - Transformers 4.27.3
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
 
 
 
 
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+ # Document Understanding model (finetuned LayoutXLM base at paragraph level on DocLayNet base)
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  This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) with the [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) dataset.
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  It achieves the following results on the evaluation set:
 
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  | 0.0246 | 3.84 | 7200 | 0.9688 | 0.7695 | 0.1333 | 0.7986 | 0.7424 |
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  | 0.0246 | 3.94 | 7400 | 0.1796 | 0.8062 | 0.7441 | 0.7739 | 0.9693 |
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  ### Framework versions
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  - Transformers 4.27.3
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.10.1
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+ - Tokenizers 0.13.2
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+
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+ ## Other models
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+ - [Document Understanding model (finetuned LiLT base at paragraph level on DocLayNet base)](https://huggingface.co/pierreguillou/lilt-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512) (paragraph accuracy: xxxx)
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+ - [Document Understanding model (finetuned LayoutXLM base at paragraph level on DocLayNet base)](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512) (paragraph accuracy: 86.55%)