metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- xfun
metrics:
- precision
- recall
- f1
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 xfun dataset. 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
More information needed
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