---
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Panant/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. -->

# Panant/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: 0.2901
- Validation Loss: 0.6709
- Train Overall Precision: 0.7158
- Train Overall Recall: 0.7973
- Train Overall F1: 0.7543
- Train Overall Accuracy: 0.8036
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6990     | 1.3937          | 0.2342                  | 0.2454               | 0.2396           | 0.5233                 | 0     |
| 1.1531     | 0.8728          | 0.5680                  | 0.6327               | 0.5986           | 0.7422                 | 1     |
| 0.7533     | 0.7316          | 0.6481                  | 0.7200               | 0.6822           | 0.7642                 | 2     |
| 0.5825     | 0.6844          | 0.6840                  | 0.7592               | 0.7196           | 0.7896                 | 3     |
| 0.4667     | 0.6354          | 0.7123                  | 0.7812               | 0.7452           | 0.8108                 | 4     |
| 0.3650     | 0.6304          | 0.7208                  | 0.7797               | 0.7491           | 0.8153                 | 5     |
| 0.2901     | 0.6709          | 0.7158                  | 0.7973               | 0.7543           | 0.8036                 | 6     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1