metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: ikmalalfaozi/layoutlm-funsd-tf
results: []
ikmalalfaozi/layoutlm-funsd-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: 0.4270
- Validation Loss: 0.6216
- Train Overall Precision: 0.7089
- Train Overall Recall: 0.7832
- Train Overall F1: 0.7442
- Train Overall Accuracy: 0.8092
- Epoch: 4
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 |
|---|---|---|---|---|---|---|
| 1.6546 | 1.3264 | 0.3384 | 0.3708 | 0.3538 | 0.5774 | 0 |
| 1.0901 | 0.8303 | 0.6013 | 0.6508 | 0.6251 | 0.7392 | 1 |
| 0.7169 | 0.6666 | 0.6778 | 0.7441 | 0.7094 | 0.7864 | 2 |
| 0.5285 | 0.6429 | 0.6859 | 0.7702 | 0.7256 | 0.8022 | 3 |
| 0.4270 | 0.6216 | 0.7089 | 0.7832 | 0.7442 | 0.8092 | 4 |
Framework versions
- Transformers 4.41.0
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1