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---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- xfun
metrics:
- precision
- recall
- f1
model-index:
- name: layoutxlm-finetuned-xfund-it-re
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutxlm-finetuned-xfund-it-re
This model is a fine-tuned version of [orlcast/layoutxlm-finetuned-xfund-it-re](https://huggingface.co/orlcast/layoutxlm-finetuned-xfund-it-re) on the xfun dataset.
It achieves the following results on the evaluation set:
- Precision: 0.5092
- Recall: 0.7450
- F1: 0.6050
- Loss: 0.0020
## 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: 4000
### Training results
### Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 2.6.1
- Tokenizers 0.12.1
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