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

# 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: 0.5535
- Validation Loss: 1.2985
- Train Overall Precision: 0.4855
- Train Overall Recall: 0.5705
- Train Overall F1: 0.5246
- Train Overall Accuracy: 0.6026
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6900     | 1.4644          | 0.1772                  | 0.1922               | 0.1844           | 0.4144                 | 0     |
| 1.3402     | 1.2155          | 0.2920                  | 0.4566               | 0.3562           | 0.4865                 | 1     |
| 1.1357     | 1.1454          | 0.3449                  | 0.4952               | 0.4066           | 0.5503                 | 2     |
| 1.0088     | 1.1098          | 0.3871                  | 0.5198               | 0.4438           | 0.5737                 | 3     |
| 0.8868     | 1.0295          | 0.4061                  | 0.5569               | 0.4697           | 0.6159                 | 4     |
| 0.7747     | 1.1882          | 0.4507                  | 0.5625               | 0.5004           | 0.6062                 | 5     |
| 0.6577     | 1.0658          | 0.4760                  | 0.5625               | 0.5156           | 0.6305                 | 6     |
| 0.5535     | 1.2985          | 0.4855                  | 0.5705               | 0.5246           | 0.6026                 | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2