---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
model-index:
- name: layoutlm-invoice-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-invoice-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: 0.2904
- Validation Loss: 0.3563
- Train Overall Precision: 0.5792
- Train Overall Recall: 0.5340
- Train Overall F1: 0.5557
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 2.3852     | 2.0674          | 0.0                     | 0.0                  | 0.0              | 0.2968                 | 0     |
| 1.8171     | 1.5521          | 0.0108                  | 0.0202               | 0.0141           | 0.5448                 | 1     |
| 1.3443     | 1.1118          | 0.0736                  | 0.1108               | 0.0884           | 0.6812                 | 2     |
| 0.9892     | 0.8281          | 0.1794                  | 0.2191               | 0.1973           | 0.7733                 | 3     |
| 0.7126     | 0.6356          | 0.3009                  | 0.3199               | 0.3101           | 0.8324                 | 4     |
| 0.5465     | 0.4954          | 0.4051                  | 0.3980               | 0.4015           | 0.8606                 | 5     |
| 0.3916     | 0.4266          | 0.4813                  | 0.4534               | 0.4669           | 0.8778                 | 6     |
| 0.2904     | 0.3563          | 0.5792                  | 0.5340               | 0.5557           | 0.8995                 | 7     |


### Framework versions

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