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
- Downloads last month
- 12
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model authors have turned it off explicitly.
Model tree for nielsr/layoutxlm-finetuned-xfund-fr-re
Base model
microsoft/layoutxlm-base