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layoutxlm-finetuned-xfund-fr-re

This model is a fine-tuned version of microsoft/layoutxlm-base on the XFUND dataset (French split).

It achieves the following results on the evaluation set:

  • Precision: 0.4533
  • Recall: 0.7475
  • F1: 0.5644
  • Loss: 0.1609

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

This checkpoint used the French portion of the multilingual XFUND dataset.

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: 5000

Training results

Framework versions

  • Transformers 4.23.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train nielsr/layoutxlm-finetuned-xfund-fr-re