metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: amresh564/layoutlm-funsd-tf
results: []
amresh564/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: 1.0429
- Validation Loss: 1.1068
- Train Overall Precision: 0.3727
- Train Overall Recall: 0.5289
- Train Overall F1: 0.4373
- Train Overall Accuracy: 0.5592
- Epoch: 3
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 |
|---|---|---|---|---|---|---|
| 1.6889 | 1.4840 | 0.1755 | 0.3307 | 0.2293 | 0.3586 | 0 |
| 1.3467 | 1.2410 | 0.3182 | 0.4827 | 0.3836 | 0.4680 | 1 |
| 1.1412 | 1.1634 | 0.3303 | 0.5028 | 0.3986 | 0.5209 | 2 |
| 1.0429 | 1.1068 | 0.3727 | 0.5289 | 0.4373 | 0.5592 | 3 |
Framework versions
- Transformers 4.38.1
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2