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: 0.2920
- Validation Loss: 0.6882
- Train Overall Precision: 0.7061
- Train Overall Recall: 0.7943
- Train Overall F1: 0.7476
- Train Overall Accuracy: 0.7966
- 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 |
|---|---|---|---|---|---|---|
| 1.7368 | 1.4201 | 0.2646 | 0.3051 | 0.2834 | 0.5163 | 0 |
| 1.2040 | 0.9290 | 0.5253 | 0.6051 | 0.5624 | 0.7138 | 1 |
| 0.8330 | 0.8307 | 0.5912 | 0.7010 | 0.6414 | 0.7294 | 2 |
| 0.6119 | 0.6724 | 0.6667 | 0.7697 | 0.7145 | 0.7902 | 3 |
| 0.4706 | 0.6231 | 0.6905 | 0.7883 | 0.7362 | 0.8068 | 4 |
| 0.3759 | 0.6366 | 0.7203 | 0.7933 | 0.7550 | 0.8077 | 5 |
| 0.3043 | 0.7168 | 0.6989 | 0.7953 | 0.7440 | 0.7937 | 6 |
| 0.2920 | 0.6882 | 0.7061 | 0.7943 | 0.7476 | 0.7966 | 7 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
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