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

# vfbsilva/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: 0.7170
- Validation Loss: 1.1978
- Train Overall Precision: 0.4534
- Train Overall Recall: 0.5660
- Train Overall F1: 0.5035
- Train Overall Accuracy: 0.6193
- Epoch: 6

## 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6558     | 1.4251          | 0.2107                  | 0.3332               | 0.2581           | 0.4092                 | 0     |
| 1.3215     | 1.2372          | 0.3024                  | 0.4696               | 0.3679           | 0.4742                 | 1     |
| 1.1454     | 1.2395          | 0.3329                  | 0.4782               | 0.3925           | 0.4779                 | 2     |
| 1.0421     | 1.1025          | 0.3771                  | 0.5263               | 0.4394           | 0.6005                 | 3     |
| 0.9349     | 1.1771          | 0.3860                  | 0.5610               | 0.4574           | 0.5416                 | 4     |
| 0.8505     | 1.0244          | 0.4657                  | 0.5685               | 0.5120           | 0.6265                 | 5     |
| 0.7170     | 1.1978          | 0.4534                  | 0.5660               | 0.5035           | 0.6193                 | 6     |


### Framework versions

- Transformers 4.33.3
- TensorFlow 2.10.0
- Datasets 2.16.1
- Tokenizers 0.13.2