---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
model-index:
- name: layoutlm-invoice-tf-2
  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-invoice-tf-2

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: 0.3115
- Validation Loss: 0.3451
- Train Overall Precision: 0.5831
- Train Overall Recall: 0.5567
- Train Overall F1: 0.5696
- Train Overall Accuracy: 0.8995
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 2.3655     | 2.0025          | 0.0056                  | 0.0101               | 0.0072           | 0.3973                 | 0     |
| 1.7668     | 1.5306          | 0.0185                  | 0.0327               | 0.0237           | 0.5455                 | 1     |
| 1.3422     | 1.1230          | 0.0595                  | 0.0831               | 0.0693           | 0.6698                 | 2     |
| 1.0006     | 0.9051          | 0.1393                  | 0.1990               | 0.1639           | 0.7432                 | 3     |
| 0.7743     | 0.6738          | 0.2127                  | 0.2620               | 0.2348           | 0.8158                 | 4     |
| 0.5996     | 0.5262          | 0.4035                  | 0.4106               | 0.4070           | 0.8628                 | 5     |
| 0.4179     | 0.3998          | 0.4856                  | 0.4685               | 0.4769           | 0.8892                 | 6     |
| 0.3115     | 0.3451          | 0.5831                  | 0.5567               | 0.5696           | 0.8995                 | 7     |


### Framework versions

- Transformers 4.41.0.dev0
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1