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---
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: 0.2280
- Validation Loss: 0.6532
- Train Overall Precision: 0.7218
- Train Overall Recall: 0.7878
- Train Overall F1: 0.7534
- Train Overall Accuracy: 0.8144
- 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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 1.6940 | 1.4151 | 0.2686 | 0.2785 | 0.2735 | 0.5128 | 0 |
| 1.1731 | 0.8665 | 0.5771 | 0.6101 | 0.5932 | 0.7267 | 1 |
| 0.7612 | 0.6849 | 0.6362 | 0.7336 | 0.6814 | 0.7784 | 2 |
| 0.5630 | 0.6265 | 0.6748 | 0.7592 | 0.7145 | 0.8017 | 3 |
| 0.4441 | 0.6256 | 0.6935 | 0.7767 | 0.7328 | 0.8036 | 4 |
| 0.3641 | 0.6402 | 0.7115 | 0.7772 | 0.7429 | 0.7940 | 5 |
| 0.2781 | 0.6248 | 0.7176 | 0.7868 | 0.7506 | 0.8141 | 6 |
| 0.2280 | 0.6532 | 0.7218 | 0.7878 | 0.7534 | 0.8144 | 7 |
### Framework versions
- Transformers 4.22.2
- TensorFlow 2.10.0
- Datasets 2.5.2
- Tokenizers 0.12.1
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