---
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: 0.2473
- Validation Loss: 0.6721
- Train Overall Precision: 0.7140
- Train Overall Recall: 0.8043
- Train Overall F1: 0.7565
- Train Overall Accuracy: 0.8076
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7381     | 1.4132          | 0.2537                  | 0.2935               | 0.2722           | 0.5348                 | 0     |
| 1.2080     | 0.9561          | 0.5655                  | 0.5981               | 0.5813           | 0.7060                 | 1     |
| 0.8008     | 0.7159          | 0.6477                  | 0.7371               | 0.6895           | 0.7727                 | 2     |
| 0.6021     | 0.6365          | 0.6928                  | 0.7772               | 0.7326           | 0.7984                 | 3     |
| 0.4729     | 0.6242          | 0.6833                  | 0.7923               | 0.7337           | 0.8067                 | 4     |
| 0.3818     | 0.6040          | 0.7164                  | 0.7832               | 0.7483           | 0.8131                 | 5     |
| 0.3024     | 0.6533          | 0.7177                  | 0.8048               | 0.7588           | 0.8074                 | 6     |
| 0.2473     | 0.6721          | 0.7140                  | 0.8043               | 0.7565           | 0.8076                 | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0