---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-cord-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-cord-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: 0.0418
- Validation Loss: 0.1882
- Train Overall Precision: 0.9468
- Train Overall Recall: 0.9490
- Train Overall F1: 0.9479
- Train Overall Accuracy: 0.9652
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.3129     | 0.5622          | 0.8065                  | 0.8120               | 0.8093           | 0.8579                 | 0     |
| 0.3927     | 0.2756          | 0.8965                  | 0.8965               | 0.8965           | 0.9291                 | 1     |
| 0.2136     | 0.1945          | 0.9233                  | 0.9254               | 0.9244           | 0.9499                 | 2     |
| 0.1335     | 0.1814          | 0.9363                  | 0.9399               | 0.9381           | 0.9550                 | 3     |
| 0.0915     | 0.1956          | 0.9390                  | 0.9482               | 0.9436           | 0.9571                 | 4     |
| 0.0810     | 0.2157          | 0.9392                  | 0.9399               | 0.9395           | 0.9559                 | 5     |
| 0.0628     | 0.1726          | 0.9410                  | 0.9467               | 0.9439           | 0.9618                 | 6     |
| 0.0418     | 0.1882          | 0.9468                  | 0.9490               | 0.9479           | 0.9652                 | 7     |


### Framework versions

- Transformers 4.41.0.dev0
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1