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

# layoutlm-SROIE-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: 0.0151
- Validation Loss: 0.0289
- Train Overall Precision: 0.9110
- Train Overall Recall: 0.9438
- Train Overall F1: 0.9271
- Train Overall Accuracy: 0.9942
- Epoch: 7

## 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': 2e-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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 0.4238     | 0.1257          | 0.7483                  | 0.6535               | 0.6977           | 0.9684                 | 0     |
| 0.0943     | 0.0549          | 0.9101                  | 0.7075               | 0.7961           | 0.9863                 | 1     |
| 0.0500     | 0.0403          | 0.8310                  | 0.8573               | 0.8440           | 0.9891                 | 2     |
| 0.0344     | 0.0344          | 0.8468                  | 0.9042               | 0.8746           | 0.9916                 | 3     |
| 0.0282     | 0.0346          | 0.8417                  | 0.9344               | 0.8856           | 0.9918                 | 4     |
| 0.0222     | 0.0296          | 0.9155                  | 0.9207               | 0.9181           | 0.9938                 | 5     |
| 0.0168     | 0.0328          | 0.8756                  | 0.9431               | 0.9081           | 0.9931                 | 6     |
| 0.0151     | 0.0289          | 0.9110                  | 0.9438               | 0.9271           | 0.9942                 | 7     |


### Framework versions

- Transformers 4.48.3
- TensorFlow 2.18.0
- Datasets 3.3.2
- Tokenizers 0.21.0