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---
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
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