---
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: 0.5847
- Validation Loss: 1.1733
- Train Overall Precision: 0.4918
- Train Overall Recall: 0.6026
- Train Overall F1: 0.5416
- Train Overall Accuracy: 0.6392
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7553     | 1.6258          | 0.2306                  | 0.1134               | 0.1520           | 0.3303                 | 0     |
| 1.4401     | 1.3407          | 0.2930                  | 0.4797               | 0.3638           | 0.4365                 | 1     |
| 1.2104     | 1.2996          | 0.3092                  | 0.4977               | 0.3815           | 0.4740                 | 2     |
| 1.0651     | 1.0411          | 0.3652                  | 0.5233               | 0.4302           | 0.5949                 | 3     |
| 0.9605     | 0.9755          | 0.4209                  | 0.5329               | 0.4703           | 0.6064                 | 4     |
| 0.8846     | 1.0042          | 0.4473                  | 0.5620               | 0.4981           | 0.6270                 | 5     |
| 0.7200     | 0.9883          | 0.4845                  | 0.5720               | 0.5246           | 0.6381                 | 6     |
| 0.5847     | 1.1733          | 0.4918                  | 0.6026               | 0.5416           | 0.6392                 | 7     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2