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

# willmyrick/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: 0.2395
- Validation Loss: 0.6723
- Train Overall Precision: 0.7269
- Train Overall Recall: 0.8013
- Train Overall F1: 0.7623
- Train Overall Accuracy: 0.8071
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6854     | 1.3883          | 0.2671                  | 0.2494               | 0.2579           | 0.4942                 | 0     |
| 1.1172     | 0.8636          | 0.5871                  | 0.6392               | 0.6121           | 0.7287                 | 1     |
| 0.7701     | 0.7274          | 0.6558                  | 0.7170               | 0.6850           | 0.7690                 | 2     |
| 0.5880     | 0.6978          | 0.6814                  | 0.7501               | 0.7141           | 0.7747                 | 3     |
| 0.4569     | 0.7022          | 0.6984                  | 0.7612               | 0.7285           | 0.7710                 | 4     |
| 0.3594     | 0.6280          | 0.7095                  | 0.7903               | 0.7477           | 0.8118                 | 5     |
| 0.3095     | 0.6566          | 0.7298                  | 0.7832               | 0.7556           | 0.8085                 | 6     |
| 0.2395     | 0.6723          | 0.7269                  | 0.8013               | 0.7623           | 0.8071                 | 7     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.16.1
- Datasets 2.19.2
- Tokenizers 0.19.1