metadata
library_name: transformers
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: 0.2409
- Validation Loss: 0.6905
- Train Overall Precision: 0.7213
- Train Overall Recall: 0.7858
- Train Overall F1: 0.7522
- Train Overall Accuracy: 0.7998
- 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': np.float32(3e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(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 |
|---|---|---|---|---|---|---|
| 1.6885 | 1.3544 | 0.2506 | 0.2534 | 0.2520 | 0.5600 | 0 |
| 1.1672 | 0.8949 | 0.5489 | 0.5996 | 0.5731 | 0.7115 | 1 |
| 0.7766 | 0.7345 | 0.6327 | 0.7476 | 0.6854 | 0.7633 | 2 |
| 0.5690 | 0.6435 | 0.6684 | 0.7727 | 0.7168 | 0.7936 | 3 |
| 0.4387 | 0.6493 | 0.7180 | 0.7792 | 0.7474 | 0.7962 | 4 |
| 0.3470 | 0.6380 | 0.7147 | 0.7893 | 0.7501 | 0.8020 | 5 |
| 0.2901 | 0.6569 | 0.7317 | 0.7868 | 0.7582 | 0.8059 | 6 |
| 0.2409 | 0.6905 | 0.7213 | 0.7858 | 0.7522 | 0.7998 | 7 |
Framework versions
- Transformers 4.46.0
- TensorFlow 2.18.0
- Datasets 3.0.2
- Tokenizers 0.20.1