---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
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: 0.5937
- Validation Loss: 1.1902
- Train Overall Precision: 0.4751
- Train Overall Recall: 0.5850
- Train Overall F1: 0.5244
- Train Overall Accuracy: 0.6201
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6536     | 1.4851          | 0.1737                  | 0.3176               | 0.2245           | 0.4025                 | 0     |
| 1.3258     | 1.2951          | 0.2957                  | 0.4325               | 0.3513           | 0.4737                 | 1     |
| 1.1768     | 1.1266          | 0.3614                  | 0.4892               | 0.4157           | 0.5489                 | 2     |
| 1.0113     | 1.0274          | 0.3889                  | 0.5294               | 0.4484           | 0.6040                 | 3     |
| 0.9157     | 1.0104          | 0.4428                  | 0.5414               | 0.4871           | 0.6152                 | 4     |
| 0.7484     | 1.0807          | 0.4742                  | 0.5354               | 0.5029           | 0.6153                 | 5     |
| 0.6791     | 1.2077          | 0.4709                  | 0.5434               | 0.5045           | 0.6049                 | 6     |
| 0.5937     | 1.1902          | 0.4751                  | 0.5850               | 0.5244           | 0.6201                 | 7     |


### Framework versions

- Transformers 4.38.1
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2