---
library_name: transformers
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Chung835/layoutlm-funsd-tf
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Chung835/layoutlm-funsd-tf

This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4093
- Validation Loss: 0.6195
- Train Overall Precision: 0.7228
- Train Overall Recall: 0.7928
- Train Overall F1: 0.7562
- Train Overall Accuracy: 0.8145
- Epoch: 6

## 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:
- optimizer: {'inner_optimizer': {'module': 'keras.optimizers.legacy', 'class_name': 'Adam', 'config': {'name': 'Adam', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.01, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7014     | 1.4461          | 0.2258                  | 0.2479               | 0.2363           | 0.5036                 | 0     |
| 1.2189     | 0.9465          | 0.5340                  | 0.5986               | 0.5645           | 0.7065                 | 1     |
| 0.8423     | 0.7706          | 0.6196                  | 0.7095               | 0.6615           | 0.7561                 | 2     |
| 0.6432     | 0.6792          | 0.6762                  | 0.7501               | 0.7112           | 0.7850                 | 3     |
| 0.5343     | 0.6767          | 0.6774                  | 0.7471               | 0.7106           | 0.7844                 | 4     |
| 0.4602     | 0.6232          | 0.7094                  | 0.7878               | 0.7466           | 0.8101                 | 5     |
| 0.4093     | 0.6195          | 0.7228                  | 0.7928               | 0.7562           | 0.8145                 | 6     |


### Framework versions

- Transformers 4.52.4
- TensorFlow 2.19.0
- Datasets 3.6.0
- Tokenizers 0.21.1