| --- |
| base_model: microsoft/layoutlm-base-uncased |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: layoutlm-funsd-tf |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # layoutlm-funsd-tf |
|
|
| This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.2595 |
| - Validation Loss: 0.6704 |
| - Train Overall Precision: 0.7379 |
| - Train Overall Recall: 0.8038 |
| - Train Overall F1: 0.7695 |
| - Train Overall Accuracy: 0.8080 |
| - 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| - training_precision: mixed_float16 |
|
|
| ### Training results |
|
|
| | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch | |
| |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | 1.7036 | 1.4227 | 0.2407 | 0.3337 | 0.2796 | 0.5026 | 0 | |
| | 1.1552 | 0.8765 | 0.5724 | 0.6944 | 0.6275 | 0.7181 | 1 | |
| | 0.7585 | 0.7119 | 0.6652 | 0.7406 | 0.7009 | 0.7820 | 2 | |
| | 0.5699 | 0.6705 | 0.6880 | 0.7592 | 0.7219 | 0.7822 | 3 | |
| | 0.4487 | 0.6814 | 0.7087 | 0.7556 | 0.7314 | 0.7798 | 4 | |
| | 0.3664 | 0.6761 | 0.7033 | 0.7958 | 0.7467 | 0.8027 | 5 | |
| | 0.3170 | 0.6953 | 0.7162 | 0.7903 | 0.7514 | 0.7984 | 6 | |
| | 0.2595 | 0.6704 | 0.7379 | 0.8038 | 0.7695 | 0.8080 | 7 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.32.0 |
| - TensorFlow 2.12.0 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
|
|
