---
tags:
- generated_from_keras_callback
model-index:
- name: moisesmota/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. -->

# moisesmota/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: 0.5782
- Validation Loss: 0.6716
- Train Overall Precision: 0.6899
- Train Overall Recall: 0.7511
- Train Overall F1: 0.7192
- Train Overall Accuracy: 0.7940
- Epoch: 3

## 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7347     | 1.4126          | 0.2336                  | 0.2358               | 0.2347           | 0.5037                 | 0     |
| 1.1975     | 0.8970          | 0.5712                  | 0.6503               | 0.6082           | 0.7056                 | 1     |
| 0.7894     | 0.7121          | 0.6420                  | 0.7270               | 0.6819           | 0.7720                 | 2     |
| 0.5782     | 0.6716          | 0.6899                  | 0.7511               | 0.7192           | 0.7940                 | 3     |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.2