<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
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: 0.4674
- Validation Loss: 0.6405
- Train Overall Precision: 0.7082
- Train Overall Recall: 0.7637
- Train Overall F1: 0.7349
- Train Overall Accuracy: 0.7984
- Epoch: 4
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 |
|---|---|---|---|---|---|---|
| 1.7185 | 1.4324 | 0.2236 | 0.2805 | 0.2488 | 0.5123 | 0 |
| 1.1768 | 0.9053 | 0.5468 | 0.6744 | 0.6039 | 0.7257 | 1 |
| 0.7782 | 0.6968 | 0.6512 | 0.7250 | 0.6861 | 0.7760 | 2 |
| 0.5777 | 0.6506 | 0.6826 | 0.7682 | 0.7229 | 0.7924 | 3 |
| 0.4674 | 0.6405 | 0.7082 | 0.7637 | 0.7349 | 0.7984 | 4 |
Framework versions
- Transformers 4.33.3
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
