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moisesmota/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: 0.5782
- Validation Loss: 0.6716
- Train Overall Precision: 0.6899
- Train Overall Recall: 0.7511
- Train Overall F1: 0.7192
- Train Overall Accuracy: 0.7940
- Epoch: 3
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 |
|---|---|---|---|---|---|---|
| 1.7347 | 1.4126 | 0.2336 | 0.2358 | 0.2347 | 0.5037 | 0 |
| 1.1975 | 0.8970 | 0.5712 | 0.6503 | 0.6082 | 0.7056 | 1 |
| 0.7894 | 0.7121 | 0.6420 | 0.7270 | 0.6819 | 0.7720 | 2 |
| 0.5782 | 0.6716 | 0.6899 | 0.7511 | 0.7192 | 0.7940 | 3 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.2
