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

# 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: 0.2612
- Validation Loss: 0.6785
- Train Overall Precision: 0.7279
- Train Overall Recall: 0.8038
- Train Overall F1: 0.7639
- Train Overall Accuracy: 0.8047
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7332     | 1.4190          | 0.2417                  | 0.2669               | 0.2537           | 0.5168                 | 0     |
| 1.1874     | 0.9479          | 0.5511                  | 0.5524               | 0.5517           | 0.7008                 | 1     |
| 0.7973     | 0.7664          | 0.6409                  | 0.6869               | 0.6631           | 0.7499                 | 2     |
| 0.6030     | 0.6373          | 0.7067                  | 0.7461               | 0.7259           | 0.7985                 | 3     |
| 0.4735     | 0.6158          | 0.7182                  | 0.7878               | 0.7514           | 0.8117                 | 4     |
| 0.3720     | 0.6051          | 0.7093                  | 0.7923               | 0.7485           | 0.8178                 | 5     |
| 0.2951     | 0.6249          | 0.7227                  | 0.8003               | 0.7595           | 0.8186                 | 6     |
| 0.2612     | 0.6785          | 0.7279                  | 0.8038               | 0.7639           | 0.8047                 | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0