---
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: 0.2432
- Validation Loss: 0.6612
- Train Overall Precision: 0.7578
- Train Overall Recall: 0.8068
- Train Overall F1: 0.7815
- Train Overall Accuracy: 0.8138
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7342     | 1.4482          | 0.1509                  | 0.1219               | 0.1349           | 0.4614                 | 0     |
| 1.2368     | 0.9387          | 0.5360                  | 0.6417               | 0.5842           | 0.7187                 | 1     |
| 0.8113     | 0.7147          | 0.6413                  | 0.7240               | 0.6802           | 0.7733                 | 2     |
| 0.5923     | 0.6811          | 0.6843                  | 0.7657               | 0.7227           | 0.7861                 | 3     |
| 0.4557     | 0.6419          | 0.7102                  | 0.7918               | 0.7488           | 0.8010                 | 4     |
| 0.3524     | 0.6118          | 0.7285                  | 0.8023               | 0.7636           | 0.8163                 | 5     |
| 0.3015     | 0.6499          | 0.7338                  | 0.8008               | 0.7658           | 0.8081                 | 6     |
| 0.2432     | 0.6612          | 0.7578                  | 0.8068               | 0.7815           | 0.8138                 | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1