metadata

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 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