metadata
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-funsd-tf
results: []
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: 0.2579
- Validation Loss: 0.6970
- Train Overall Precision: 0.7286
- Train Overall Recall: 0.8003
- Train Overall F1: 0.7628
- Train Overall Accuracy: 0.8045
- 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 |
|---|---|---|---|---|---|---|
| 1.7062 | 1.4015 | 0.2826 | 0.3011 | 0.2915 | 0.5146 | 0 |
| 1.1524 | 0.8928 | 0.5942 | 0.6598 | 0.6253 | 0.7216 | 1 |
| 0.8106 | 0.7383 | 0.6540 | 0.7190 | 0.6850 | 0.7634 | 2 |
| 0.5949 | 0.7057 | 0.6936 | 0.7441 | 0.7180 | 0.7715 | 3 |
| 0.4676 | 0.6148 | 0.7246 | 0.7842 | 0.7533 | 0.8096 | 4 |
| 0.3782 | 0.6263 | 0.7230 | 0.8028 | 0.7608 | 0.8140 | 5 |
| 0.3083 | 0.6780 | 0.7175 | 0.7978 | 0.7555 | 0.8010 | 6 |
| 0.2579 | 0.6970 | 0.7286 | 0.8003 | 0.7628 | 0.8045 | 7 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1