---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
model-index:
- name: layoutlm-invoice-tf-1
  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-1

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: 0.2994
- Validation Loss: 0.3489
- Train Overall Precision: 0.5682
- Train Overall Recall: 0.5668
- Train Overall F1: 0.5675
- Train Overall Accuracy: 0.8973
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 2.4376     | 2.0394          | 0.0                     | 0.0                  | 0.0              | 0.3247                 | 0     |
| 1.7800     | 1.4827          | 0.0112                  | 0.0202               | 0.0144           | 0.5774                 | 1     |
| 1.3231     | 1.0832          | 0.0710                  | 0.1008               | 0.0833           | 0.6988                 | 2     |
| 0.9662     | 0.8311          | 0.1626                  | 0.2015               | 0.1800           | 0.7421                 | 3     |
| 0.7250     | 0.6259          | 0.2949                  | 0.3350               | 0.3137           | 0.8371                 | 4     |
| 0.5245     | 0.4803          | 0.4049                  | 0.4131               | 0.4090           | 0.8646                 | 5     |
| 0.3951     | 0.3957          | 0.5206                  | 0.5088               | 0.5146           | 0.8892                 | 6     |
| 0.2994     | 0.3489          | 0.5682                  | 0.5668               | 0.5675           | 0.8973                 | 7     |


### Framework versions

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