---
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: xilpam/t_2_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. -->

# xilpam/t_2_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: 0.0008
- Validation Loss: 0.0001
- Train Overall Precision: 1.0
- Train Overall Recall: 1.0
- Train Overall F1: 1.0
- Train Overall Accuracy: 1.0
- 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: float32

### Training results

| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 0.0597     | 0.0009          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 0     |
| 0.0014     | 0.0005          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 1     |
| 0.0007     | 0.0003          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 2     |
| 0.0005     | 0.0003          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 3     |
| 0.0005     | 0.0002          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 4     |
| 0.0003     | 0.0002          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 5     |
| 0.0003     | 0.0001          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 6     |
| 0.0008     | 0.0001          | 1.0                     | 1.0                  | 1.0              | 1.0                    | 7     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2