---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: amresh564/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. -->

# amresh564/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: 1.0429
- Validation Loss: 1.1068
- Train Overall Precision: 0.3727
- Train Overall Recall: 0.5289
- Train Overall F1: 0.4373
- Train Overall Accuracy: 0.5592
- Epoch: 3

## 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: float32

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6889     | 1.4840          | 0.1755                  | 0.3307               | 0.2293           | 0.3586                 | 0     |
| 1.3467     | 1.2410          | 0.3182                  | 0.4827               | 0.3836           | 0.4680                 | 1     |
| 1.1412     | 1.1634          | 0.3303                  | 0.5028               | 0.3986           | 0.5209                 | 2     |
| 1.0429     | 1.1068          | 0.3727                  | 0.5289               | 0.4373           | 0.5592                 | 3     |


### Framework versions

- Transformers 4.38.1
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2