metadata
license: mit
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: 0.2471
- Validation Loss: 0.6741
- Train Overall Precision: 0.7311
- Train Overall Recall: 0.7858
- Train Overall F1: 0.7574
- Train Overall Accuracy: 0.8104
- 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 |
|---|---|---|---|---|---|---|
| 1.7162 | 1.4302 | 0.2735 | 0.3026 | 0.2873 | 0.4851 | 0 |
| 1.1601 | 0.8705 | 0.5728 | 0.6708 | 0.6180 | 0.7254 | 1 |
| 0.7538 | 0.7479 | 0.6533 | 0.7055 | 0.6784 | 0.7572 | 2 |
| 0.5704 | 0.6795 | 0.6686 | 0.7582 | 0.7106 | 0.7936 | 3 |
| 0.4379 | 0.6239 | 0.7022 | 0.7762 | 0.7374 | 0.8062 | 4 |
| 0.3470 | 0.6538 | 0.7226 | 0.7842 | 0.7522 | 0.7986 | 5 |
| 0.2908 | 0.6827 | 0.7033 | 0.7777 | 0.7386 | 0.7971 | 6 |
| 0.2471 | 0.6741 | 0.7311 | 0.7858 | 0.7574 | 0.8104 | 7 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0