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---
library_name: transformers
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Mehdi01/layoutlm-SROIE-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. -->
# Mehdi01/layoutlm-SROIE-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: 0.0222
- Validation Loss: 0.0296
- Train Overall Precision: 0.9155
- Train Overall Recall: 0.9207
- Train Overall F1: 0.9181
- Train Overall Accuracy: 0.9938
- Epoch: 5
## 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': 2e-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 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
| 0.4238 | 0.1257 | 0.7483 | 0.6535 | 0.6977 | 0.9684 | 0 |
| 0.0943 | 0.0549 | 0.9101 | 0.7075 | 0.7961 | 0.9863 | 1 |
| 0.0500 | 0.0403 | 0.8310 | 0.8573 | 0.8440 | 0.9891 | 2 |
| 0.0344 | 0.0344 | 0.8468 | 0.9042 | 0.8746 | 0.9916 | 3 |
| 0.0282 | 0.0346 | 0.8417 | 0.9344 | 0.8856 | 0.9918 | 4 |
| 0.0222 | 0.0296 | 0.9155 | 0.9207 | 0.9181 | 0.9938 | 5 |
### Framework versions
- Transformers 4.48.3
- TensorFlow 2.18.0
- Datasets 3.3.2
- Tokenizers 0.21.0
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