---
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: 0.0379
- Validation Loss: 0.1673
- Train Overall Precision: 0.9428
- Train Overall Recall: 0.9528
- Train Overall F1: 0.9478
- Train Overall Accuracy: 0.9605
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.2812     | 0.5563          | 0.8209                  | 0.8265               | 0.8237           | 0.8574                 | 0     |
| 0.3842     | 0.2602          | 0.9121                  | 0.9155               | 0.9138           | 0.9406                 | 1     |
| 0.2075     | 0.2085          | 0.9257                  | 0.9201               | 0.9229           | 0.9453                 | 2     |
| 0.1377     | 0.1793          | 0.9368                  | 0.9368               | 0.9368           | 0.9555                 | 3     |
| 0.0889     | 0.1902          | 0.9282                  | 0.9346               | 0.9314           | 0.9525                 | 4     |
| 0.0747     | 0.1610          | 0.9455                  | 0.9513               | 0.9484           | 0.9648                 | 5     |
| 0.0514     | 0.1796          | 0.9480                  | 0.9566               | 0.9523           | 0.9639                 | 6     |
| 0.0379     | 0.1673          | 0.9428                  | 0.9528               | 0.9478           | 0.9605                 | 7     |


### Framework versions

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