---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
model-index:
- name: layoutlm-funsd-tf-l
  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-l

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: 0.2621
- Validation Loss: 0.6925
- Train Overall Precision: 0.7431
- Train Overall Recall: 0.7822
- Train Overall F1: 0.7622
- Train Overall Accuracy: 0.8060
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6855     | 1.4048          | 0.2655                  | 0.2945               | 0.2793           | 0.5163                 | 0     |
| 1.1539     | 0.8468          | 0.6205                  | 0.6548               | 0.6372           | 0.7410                 | 1     |
| 0.7523     | 0.7215          | 0.6573                  | 0.7516               | 0.7013           | 0.7662                 | 2     |
| 0.5749     | 0.6737          | 0.6735                  | 0.7536               | 0.7113           | 0.7868                 | 3     |
| 0.4482     | 0.6720          | 0.7027                  | 0.7792               | 0.7390           | 0.7917                 | 4     |
| 0.3695     | 0.6387          | 0.7142                  | 0.7948               | 0.7523           | 0.8047                 | 5     |
| 0.3123     | 0.6608          | 0.7443                  | 0.7958               | 0.7692           | 0.8154                 | 6     |
| 0.2621     | 0.6925          | 0.7431                  | 0.7822               | 0.7622           | 0.8060                 | 7     |


### Framework versions

- Transformers 4.41.0.dev0
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1