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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: 0.2493
- Validation Loss: 0.6923
- Train Overall Precision: 0.7272
- Train Overall Recall: 0.8013
- Train Overall F1: 0.7625
- Train Overall Accuracy: 0.8013
- 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 |
|---|---|---|---|---|---|---|
| 1.7180 | 1.4598 | 0.2174 | 0.2454 | 0.2306 | 0.4688 | 0 |
| 1.1897 | 0.9029 | 0.5570 | 0.6673 | 0.6072 | 0.7282 | 1 |
| 0.7789 | 0.7082 | 0.6413 | 0.7401 | 0.6872 | 0.7701 | 2 |
| 0.5964 | 0.6498 | 0.6840 | 0.7647 | 0.7221 | 0.7926 | 3 |
| 0.4653 | 0.6611 | 0.7031 | 0.7737 | 0.7367 | 0.7890 | 4 |
| 0.3663 | 0.6544 | 0.7159 | 0.8028 | 0.7569 | 0.8027 | 5 |
| 0.3010 | 0.6662 | 0.7274 | 0.7913 | 0.7580 | 0.8034 | 6 |
| 0.2493 | 0.6923 | 0.7272 | 0.8013 | 0.7625 | 0.8013 | 7 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
