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

# 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: 0.5754
- Validation Loss: 1.0073
- Train Overall Precision: 0.4858
- Train Overall Recall: 0.5735
- Train Overall F1: 0.5260
- Train Overall Accuracy: 0.6411
- 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6595     | 1.4718          | 0.1431                  | 0.2780               | 0.1889           | 0.4016                 | 0     |
| 1.3342     | 1.2762          | 0.2962                  | 0.4942               | 0.3704           | 0.4644                 | 1     |
| 1.1464     | 1.1828          | 0.3753                  | 0.5173               | 0.4350           | 0.5034                 | 2     |
| 1.0198     | 1.0195          | 0.4070                  | 0.5359               | 0.4626           | 0.6167                 | 3     |
| 0.8729     | 1.0543          | 0.4343                  | 0.5740               | 0.4945           | 0.6018                 | 4     |
| 0.7979     | 1.2603          | 0.4648                  | 0.5866               | 0.5186           | 0.5615                 | 5     |
| 0.6799     | 1.0257          | 0.5180                  | 0.5775               | 0.5461           | 0.6408                 | 6     |
| 0.5754     | 1.0073          | 0.4858                  | 0.5735               | 0.5260           | 0.6411                 | 7     |


### Framework versions

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