| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: microsoft/layoutlm-base-uncased |
| | 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: 0.2479 |
| | - Validation Loss: 0.6865 |
| | - Train Overall Precision: 0.7469 |
| | - Train Overall Recall: 0.8098 |
| | - Train Overall F1: 0.7771 |
| | - Train Overall Accuracy: 0.8111 |
| | - 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': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, '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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 1.7068 | 1.4323 | 0.2302 | 0.2604 | 0.2444 | 0.5097 | 0 | |
| | | 1.1785 | 0.8879 | 0.5487 | 0.6553 | 0.5973 | 0.7149 | 1 | |
| | | 0.7570 | 0.7017 | 0.6315 | 0.7411 | 0.6819 | 0.7810 | 2 | |
| | | 0.5598 | 0.6353 | 0.6893 | 0.7747 | 0.7295 | 0.7954 | 3 | |
| | | 0.4407 | 0.6282 | 0.7144 | 0.7842 | 0.7477 | 0.8015 | 4 | |
| | | 0.3450 | 0.6653 | 0.7174 | 0.7822 | 0.7484 | 0.8036 | 5 | |
| | | 0.2758 | 0.7178 | 0.7002 | 0.7863 | 0.7407 | 0.7920 | 6 | |
| | | 0.2479 | 0.6865 | 0.7469 | 0.8098 | 0.7771 | 0.8111 | 7 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - TensorFlow 2.13.1 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.15.2 |
| |
|
