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README.md
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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# layoutxlm-finetuned-xfund-it-re
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Loss: 0.
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## Model description
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- Transformers 4.23.0.dev0
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- Pytorch 1.10.0+cu111
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- Tokenizers 0.12.1
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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datasets:
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- xfun
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metrics:
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- precision
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- recall
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# layoutxlm-finetuned-xfund-it-re
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This model is a fine-tuned version of [orlcast/layoutxlm-finetuned-xfund-it-re](https://huggingface.co/orlcast/layoutxlm-finetuned-xfund-it-re) on the xfun dataset.
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It achieves the following results on the evaluation set:
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- Precision: 0.5092
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- Recall: 0.7450
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- F1: 0.6050
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- Loss: 0.0020
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## Model description
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- Transformers 4.23.0.dev0
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- Pytorch 1.10.0+cu111
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- Datasets 2.6.1
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- Tokenizers 0.12.1
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