---
tags:
- generated_from_keras_callback
model-index:
- name: minhvuquang317/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. -->

# minhvuquang317/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: 0.3479
- Validation Loss: 0.6233
- Train Overall Precision: 0.7275
- Train Overall Recall: 0.7702
- Train Overall F1: 0.7482
- Train Overall Accuracy: 0.8127
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6700     | 1.3895          | 0.2812                  | 0.2880               | 0.2846           | 0.5333                 | 0     |
| 1.1465     | 0.8828          | 0.5819                  | 0.6433               | 0.6111           | 0.7324                 | 1     |
| 0.7878     | 0.7302          | 0.6497                  | 0.7240               | 0.6849           | 0.7791                 | 2     |
| 0.6195     | 0.6630          | 0.6844                  | 0.7692               | 0.7243           | 0.7949                 | 3     |
| 0.5031     | 0.6265          | 0.6929                  | 0.7903               | 0.7384           | 0.8112                 | 4     |
| 0.4202     | 0.6244          | 0.7329                  | 0.7863               | 0.7587           | 0.8124                 | 5     |
| 0.3479     | 0.6233          | 0.7275                  | 0.7702               | 0.7482           | 0.8127                 | 6     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.0
- Datasets 2.8.0
- Tokenizers 0.13.2