| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/layoutlm-base-uncased |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Chung835/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. --> |
| |
|
| | # Chung835/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: 0.4093 |
| | - Validation Loss: 0.6195 |
| | - Train Overall Precision: 0.7228 |
| | - Train Overall Recall: 0.7928 |
| | - Train Overall F1: 0.7562 |
| | - Train Overall Accuracy: 0.8145 |
| | - 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: {'inner_optimizer': {'module': 'keras.optimizers.legacy', 'class_name': 'Adam', 'config': {'name': 'Adam', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.01, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, '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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 1.7014 | 1.4461 | 0.2258 | 0.2479 | 0.2363 | 0.5036 | 0 | |
| | | 1.2189 | 0.9465 | 0.5340 | 0.5986 | 0.5645 | 0.7065 | 1 | |
| | | 0.8423 | 0.7706 | 0.6196 | 0.7095 | 0.6615 | 0.7561 | 2 | |
| | | 0.6432 | 0.6792 | 0.6762 | 0.7501 | 0.7112 | 0.7850 | 3 | |
| | | 0.5343 | 0.6767 | 0.6774 | 0.7471 | 0.7106 | 0.7844 | 4 | |
| | | 0.4602 | 0.6232 | 0.7094 | 0.7878 | 0.7466 | 0.8101 | 5 | |
| | | 0.4093 | 0.6195 | 0.7228 | 0.7928 | 0.7562 | 0.8145 | 6 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.4 |
| | - TensorFlow 2.19.0 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| | |
