---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- nielsr/XFUN
metrics:
- precision
- recall
- f1
inference: false
base_model: microsoft/layoutxlm-base
model-index:
- name: layoutxlm-finetuned-xfund-fr-re
  results: []
---

# 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