metadata
tags:
- generated_from_keras_callback
model-index:
- name: jinhybr/layoutlm-funsd-tf
results: []
jinhybr/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: 0.2987
- Validation Loss: 0.6835
- Train Overall Precision: 0.7270
- Train Overall Recall: 0.7777
- Train Overall F1: 0.7515
- Train Overall Accuracy: 0.8056
- 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 |
|---|---|---|---|---|---|---|
| 1.6886 | 1.4100 | 0.2324 | 0.2313 | 0.2318 | 0.5009 | 0 |
| 1.1702 | 0.8486 | 0.5971 | 0.6618 | 0.6278 | 0.7338 | 1 |
| 0.7521 | 0.7032 | 0.6561 | 0.7341 | 0.6929 | 0.7687 | 2 |
| 0.5727 | 0.6268 | 0.6736 | 0.7662 | 0.7169 | 0.7957 | 3 |
| 0.4586 | 0.6322 | 0.6909 | 0.7772 | 0.7315 | 0.7999 | 4 |
| 0.3725 | 0.6378 | 0.7134 | 0.7782 | 0.7444 | 0.8096 | 5 |
| 0.2987 | 0.6835 | 0.7270 | 0.7777 | 0.7515 | 0.8056 | 6 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.6.0
- Datasets 2.6.1
- Tokenizers 0.13.1