metadata
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/layoutlm-base-uncased
model-index:
- name: t_2_layoutlm-funsd-tf
results: []
t_2_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: 0.0008
- Validation Loss: 0.0001
- Train Overall Precision: 1.0
- Train Overall Recall: 1.0
- Train Overall F1: 1.0
- Train Overall Accuracy: 1.0
- 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: float32
Training results
| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.0597 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 | 0 |
| 0.0014 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | 1 |
| 0.0007 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 | 2 |
| 0.0005 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 | 3 |
| 0.0005 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 4 |
| 0.0003 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 5 |
| 0.0003 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 6 |
| 0.0008 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 7 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2