metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-cord-tf
results: []
layoutlm-cord-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: 0.0418
- Validation Loss: 0.1882
- Train Overall Precision: 0.9468
- Train Overall Recall: 0.9490
- Train Overall F1: 0.9479
- Train Overall Accuracy: 0.9652
- 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 |
|---|---|---|---|---|---|---|
| 1.3129 | 0.5622 | 0.8065 | 0.8120 | 0.8093 | 0.8579 | 0 |
| 0.3927 | 0.2756 | 0.8965 | 0.8965 | 0.8965 | 0.9291 | 1 |
| 0.2136 | 0.1945 | 0.9233 | 0.9254 | 0.9244 | 0.9499 | 2 |
| 0.1335 | 0.1814 | 0.9363 | 0.9399 | 0.9381 | 0.9550 | 3 |
| 0.0915 | 0.1956 | 0.9390 | 0.9482 | 0.9436 | 0.9571 | 4 |
| 0.0810 | 0.2157 | 0.9392 | 0.9399 | 0.9395 | 0.9559 | 5 |
| 0.0628 | 0.1726 | 0.9410 | 0.9467 | 0.9439 | 0.9618 | 6 |
| 0.0418 | 0.1882 | 0.9468 | 0.9490 | 0.9479 | 0.9652 | 7 |
Framework versions
- Transformers 4.41.0.dev0
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1