---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
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: 0.2350
- Validation Loss: 0.6723
- Train Overall Precision: 0.7420
- Train Overall Recall: 0.7978
- Train Overall F1: 0.7689
- Train Overall Accuracy: 0.8134
- 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: float32

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7200     | 1.4450          | 0.2446                  | 0.2479               | 0.2462           | 0.4720                 | 0     |
| 1.1874     | 0.8977          | 0.5707                  | 0.6563               | 0.6105           | 0.7371                 | 1     |
| 0.7800     | 0.7307          | 0.6355                  | 0.7471               | 0.6868           | 0.7774                 | 2     |
| 0.5924     | 0.6328          | 0.6774                  | 0.7817               | 0.7258           | 0.8045                 | 3     |
| 0.4601     | 0.6043          | 0.7228                  | 0.7878               | 0.7539           | 0.8133                 | 4     |
| 0.3731     | 0.6318          | 0.7220                  | 0.7988               | 0.7585           | 0.8099                 | 5     |
| 0.2933     | 0.6364          | 0.7358                  | 0.8023               | 0.7676           | 0.8145                 | 6     |
| 0.2350     | 0.6723          | 0.7420                  | 0.7978               | 0.7689           | 0.8134                 | 7     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2