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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: 0.3061
- Validation Loss: 0.6626
- Train Overall Precision: 0.7205
- Train Overall Recall: 0.7863
- Train Overall F1: 0.7519
- Train Overall Accuracy: 0.8006
- 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 |
|---|---|---|---|---|---|---|
| 1.6700 | 1.3895 | 0.2812 | 0.2880 | 0.2846 | 0.5333 | 0 |
| 1.1465 | 0.8828 | 0.5819 | 0.6433 | 0.6111 | 0.7324 | 1 |
| 0.7878 | 0.7302 | 0.6497 | 0.7240 | 0.6849 | 0.7791 | 2 |
| 0.6195 | 0.6630 | 0.6844 | 0.7692 | 0.7243 | 0.7949 | 3 |
| 0.5031 | 0.6265 | 0.6929 | 0.7903 | 0.7384 | 0.8112 | 4 |
| 0.4202 | 0.6244 | 0.7329 | 0.7863 | 0.7587 | 0.8124 | 5 |
| 0.3479 | 0.6233 | 0.7275 | 0.7702 | 0.7482 | 0.8127 | 6 |
| 0.3061 | 0.6626 | 0.7205 | 0.7863 | 0.7519 | 0.8006 | 7 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.0
- Datasets 2.8.0
- Tokenizers 0.13.2
