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

# mridhulanatarajan/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: 0.2381
- Validation Loss: 1.2497
- Train Overall Precision: 0.5672
- Train Overall Recall: 0.6352
- Train Overall F1: 0.5993
- Train Overall Accuracy: 0.6689
- Epoch: 11

## 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.0628     | 1.0944          | 0.3612                  | 0.5354               | 0.4314           | 0.5849                 | 0     |
| 0.9183     | 1.0225          | 0.4267                  | 0.5580               | 0.4836           | 0.6221                 | 1     |
| 0.8087     | 1.0060          | 0.4499                  | 0.5364               | 0.4894           | 0.6207                 | 2     |
| 0.6643     | 1.0055          | 0.4673                  | 0.5840               | 0.5192           | 0.6509                 | 3     |
| 0.5917     | 1.0958          | 0.4957                  | 0.6096               | 0.5468           | 0.6404                 | 4     |
| 0.5103     | 1.0582          | 0.5169                  | 0.5981               | 0.5545           | 0.6389                 | 5     |
| 0.4368     | 1.0593          | 0.5348                  | 0.6242               | 0.5761           | 0.6630                 | 6     |
| 0.3950     | 1.1941          | 0.5437                  | 0.5810               | 0.5617           | 0.6543                 | 7     |
| 0.3836     | 1.1152          | 0.5359                  | 0.6066               | 0.5691           | 0.6509                 | 8     |
| 0.3288     | 1.1746          | 0.5308                  | 0.6147               | 0.5696           | 0.6438                 | 9     |
| 0.2721     | 1.2269          | 0.5467                  | 0.6407               | 0.5900           | 0.6630                 | 10    |
| 0.2381     | 1.2497          | 0.5672                  | 0.6352               | 0.5993           | 0.6689                 | 11    |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2