---
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: 0.2511
- Validation Loss: 0.6882
- Train Overall Precision: 0.7189
- Train Overall Recall: 0.7878
- Train Overall F1: 0.7517
- Train Overall Accuracy: 0.8039
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6546     | 1.3264          | 0.3384                  | 0.3708               | 0.3538           | 0.5774                 | 0     |
| 1.0901     | 0.8303          | 0.6013                  | 0.6508               | 0.6251           | 0.7392                 | 1     |
| 0.7169     | 0.6666          | 0.6778                  | 0.7441               | 0.7094           | 0.7864                 | 2     |
| 0.5285     | 0.6429          | 0.6859                  | 0.7702               | 0.7256           | 0.8022                 | 3     |
| 0.4270     | 0.6216          | 0.7089                  | 0.7832               | 0.7442           | 0.8092                 | 4     |
| 0.3451     | 0.6699          | 0.7038                  | 0.7832               | 0.7414           | 0.7972                 | 5     |
| 0.2867     | 0.6886          | 0.7203                  | 0.7868               | 0.7520           | 0.7965                 | 6     |
| 0.2511     | 0.6882          | 0.7189                  | 0.7878               | 0.7517           | 0.8039                 | 7     |


### Framework versions

- Transformers 4.41.0
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1