metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Aanshula/layoutlm-funsd-tf
results: []
Aanshula/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: 0.3182
- Validation Loss: 0.6807
- Train Overall Precision: 0.7172
- Train Overall Recall: 0.7878
- Train Overall F1: 0.7508
- Train Overall Accuracy: 0.7864
- Epoch: 6
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 |
|---|---|---|---|---|---|---|
| 1.7000 | 1.4167 | 0.2445 | 0.2107 | 0.2264 | 0.4831 | 0 |
| 1.1656 | 0.8677 | 0.5749 | 0.6257 | 0.5992 | 0.7251 | 1 |
| 0.7704 | 0.7254 | 0.6356 | 0.7160 | 0.6734 | 0.7637 | 2 |
| 0.5758 | 0.6690 | 0.6851 | 0.7476 | 0.7150 | 0.7857 | 3 |
| 0.4526 | 0.6096 | 0.7085 | 0.7757 | 0.7406 | 0.8046 | 4 |
| 0.3614 | 0.6834 | 0.7118 | 0.7657 | 0.7377 | 0.7872 | 5 |
| 0.3182 | 0.6807 | 0.7172 | 0.7878 | 0.7508 | 0.7864 | 6 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1