metadata
library_name: transformers
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Mehdi01/layoutlm-SROIE-tf
results: []
Mehdi01/layoutlm-SROIE-tf
This model is a fine-tuned version of 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