---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutxlm-tokenclass-finetuned
  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-tokenclass-finetuned

This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2039
- Answer Precision: 0.9231
- Answer Recall: 0.9180
- Answer F1: 0.9205
- Answer Number: 366
- Header Precision: 0.8194
- Header Recall: 0.9219
- Header F1: 0.8676
- Header Number: 64
- Question Precision: 0.9115
- Question Recall: 0.9428
- Question F1: 0.9269
- Question Number: 437
- Overall Precision: 0.9088
- Overall Recall: 0.9308
- Overall F1: 0.9197
- Overall Accuracy: 0.9758

## 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 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3