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

# Aanshula/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: 0.3182
- Validation Loss: 0.6807
- Train Overall Precision: 0.7172
- Train Overall Recall: 0.7878
- Train Overall F1: 0.7508
- Train Overall Accuracy: 0.7864
- Epoch: 6

## 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.7000     | 1.4167          | 0.2445                  | 0.2107               | 0.2264           | 0.4831                 | 0     |
| 1.1656     | 0.8677          | 0.5749                  | 0.6257               | 0.5992           | 0.7251                 | 1     |
| 0.7704     | 0.7254          | 0.6356                  | 0.7160               | 0.6734           | 0.7637                 | 2     |
| 0.5758     | 0.6690          | 0.6851                  | 0.7476               | 0.7150           | 0.7857                 | 3     |
| 0.4526     | 0.6096          | 0.7085                  | 0.7757               | 0.7406           | 0.8046                 | 4     |
| 0.3614     | 0.6834          | 0.7118                  | 0.7657               | 0.7377           | 0.7872                 | 5     |
| 0.3182     | 0.6807          | 0.7172                  | 0.7878               | 0.7508           | 0.7864                 | 6     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1