---
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: 0.6688
- Validation Loss: 1.0205
- Train Overall Precision: 0.4820
- Train Overall Recall: 0.5640
- Train Overall F1: 0.5198
- Train Overall Accuracy: 0.6662
- 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: float32

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7446     | 1.5046          | 0.1515                  | 0.1912               | 0.1690           | 0.3736                 | 0     |
| 1.4357     | 1.3277          | 0.2590                  | 0.4295               | 0.3231           | 0.4314                 | 1     |
| 1.2564     | 1.2248          | 0.3028                  | 0.4907               | 0.3745           | 0.4767                 | 2     |
| 1.1340     | 1.1044          | 0.3433                  | 0.4802               | 0.4003           | 0.5769                 | 3     |
| 1.0126     | 1.0670          | 0.4183                  | 0.5519               | 0.4759           | 0.5820                 | 4     |
| 0.8976     | 1.0148          | 0.3816                  | 0.5273               | 0.4428           | 0.6186                 | 5     |
| 0.7552     | 1.0872          | 0.4571                  | 0.5449               | 0.4971           | 0.6268                 | 6     |
| 0.6688     | 1.0205          | 0.4820                  | 0.5640               | 0.5198           | 0.6662                 | 7     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2