readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  datasets:
  - nielsr/XFUN
  metrics:
  - precision
  - recall
  - f1
  model-index:
  - name: layoutxlm-finetuned-xfund-fr-re
    results: []
  inference: false
  ---
  
  # layoutxlm-finetuned-xfund-fr-re
  
  This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the [XFUND](https://github.com/doc-analysis/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](https://github.com/doc-analysis/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
  