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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: 0.2451
- Validation Loss: 0.7339
- Train Overall Precision: 0.7247
- Train Overall Recall: 0.8058
- Train Overall F1: 0.7631
- Train Overall Accuracy: 0.7976
- 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 |
|---|---|---|---|---|---|---|
| 1.6758 | 1.4035 | 0.2734 | 0.3191 | 0.2945 | 0.5113 | 0 |
| 1.1350 | 0.8802 | 0.5626 | 0.6538 | 0.6048 | 0.7313 | 1 |
| 0.7417 | 0.6927 | 0.6604 | 0.7602 | 0.7068 | 0.7805 | 2 |
| 0.5568 | 0.6715 | 0.7039 | 0.7501 | 0.7263 | 0.7823 | 3 |
| 0.4493 | 0.6464 | 0.7073 | 0.7782 | 0.7410 | 0.7980 | 4 |
| 0.3732 | 0.6112 | 0.7108 | 0.7858 | 0.7464 | 0.8182 | 5 |
| 0.2949 | 0.6429 | 0.7123 | 0.7988 | 0.7531 | 0.8070 | 6 |
| 0.2451 | 0.7339 | 0.7247 | 0.8058 | 0.7631 | 0.7976 | 7 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
