<!-- 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. -->
Panant/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: 0.2531
- Validation Loss: 0.6684
- Train Overall Precision: 0.7060
- Train Overall Recall: 0.8013
- Train Overall F1: 0.7506
- Train Overall Accuracy: 0.8087
- 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 |
|---|---|---|---|---|---|---|
| 1.6990 | 1.3937 | 0.2342 | 0.2454 | 0.2396 | 0.5233 | 0 |
| 1.1531 | 0.8728 | 0.5680 | 0.6327 | 0.5986 | 0.7422 | 1 |
| 0.7533 | 0.7316 | 0.6481 | 0.7200 | 0.6822 | 0.7642 | 2 |
| 0.5825 | 0.6844 | 0.6840 | 0.7592 | 0.7196 | 0.7896 | 3 |
| 0.4667 | 0.6354 | 0.7123 | 0.7812 | 0.7452 | 0.8108 | 4 |
| 0.3650 | 0.6304 | 0.7208 | 0.7797 | 0.7491 | 0.8153 | 5 |
| 0.2901 | 0.6709 | 0.7158 | 0.7973 | 0.7543 | 0.8036 | 6 |
| 0.2531 | 0.6684 | 0.7060 | 0.8013 | 0.7506 | 0.8087 | 7 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1
