---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Matt6450/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. -->

# Matt6450/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: 0.2719
- Validation Loss: 0.6616
- Train Overall Precision: 0.7394
- Train Overall Recall: 0.7858
- Train Overall F1: 0.7619
- Train Overall Accuracy: 0.8104
- Epoch: 7

## 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: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6975     | 1.4623          | 0.2206                  | 0.2464               | 0.2328           | 0.4665                 | 0     |
| 1.1784     | 0.8850          | 0.5696                  | 0.6754               | 0.6180           | 0.7376                 | 1     |
| 0.7831     | 0.7326          | 0.6444                  | 0.7511               | 0.6937           | 0.7690                 | 2     |
| 0.5823     | 0.6434          | 0.7028                  | 0.7642               | 0.7322           | 0.7930                 | 3     |
| 0.4477     | 0.6255          | 0.7062                  | 0.7998               | 0.7501           | 0.8006                 | 4     |
| 0.3644     | 0.6378          | 0.7339                  | 0.7903               | 0.7611           | 0.8174                 | 5     |
| 0.3135     | 0.6776          | 0.7324                  | 0.7787               | 0.7549           | 0.8006                 | 6     |
| 0.2719     | 0.6616          | 0.7394                  | 0.7858               | 0.7619           | 0.8104                 | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1