---
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-ttform
  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-ttform

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: 0.8035
- Validation Loss: 0.6094
- Train Overall Precision: 0.8793
- Train Overall Recall: 0.7969
- Train Overall F1: 0.8361
- Train Overall Accuracy: 0.9204
- 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': 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.9166     | 1.6851          | 0.125                   | 0.1562               | 0.1389           | 0.6567                 | 0     |
| 1.7084     | 1.4917          | 0.3793                  | 0.3438               | 0.3607           | 0.7811                 | 1     |
| 1.5343     | 1.3162          | 0.4151                  | 0.3438               | 0.3761           | 0.7811                 | 2     |
| 1.3620     | 1.1511          | 0.4528                  | 0.375                | 0.4103           | 0.8159                 | 3     |
| 1.2149     | 0.9970          | 0.5818                  | 0.5                  | 0.5378           | 0.8358                 | 4     |
| 1.0742     | 0.8546          | 0.8393                  | 0.7344               | 0.7833           | 0.8905                 | 5     |
| 0.9422     | 0.7259          | 0.8393                  | 0.7344               | 0.7833           | 0.9154                 | 6     |
| 0.8035     | 0.6094          | 0.8793                  | 0.7969               | 0.8361           | 0.9204                 | 7     |


### Framework versions

- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2