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layoutxlm-finetuned-xfund-de-re
notaginger/layoutxlm-finetuned-xfund-de-re
layoutxlm-finetuned-xfund-de-re is a machine learning model from notaginger. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv2
- Access
- Public
- Created
- Nov 17, 2022
- Updated
- Nov 17, 2022
- SHA
- 60d1803d
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
layoutxlm-finetuned-xfund-de-re
This model is a fine-tuned version of microsoft/layoutxlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- Precision: 0.4499
- Recall: 0.7114
- F1: 0.5512
- Loss: 0.1981
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3000
Training results
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.10.0+cu111
- Tokenizers 0.12.1
- Library
- transformers
- Type
- layoutlmv2
- License
- cc-by-nc-sa-4.0
- Created
- Nov 17, 2022
- Updated
- Nov 17, 2022