| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: microsoft/layoutlm-base-uncased |
| | model-index: |
| | - name: layoutlm-funsd-tf-l |
| | 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-l |
| |
|
| | 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: 0.2621 |
| | - Validation Loss: 0.6925 |
| | - Train Overall Precision: 0.7431 |
| | - Train Overall Recall: 0.7822 |
| | - Train Overall F1: 0.7622 |
| | - Train Overall Accuracy: 0.8060 |
| | - 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: {'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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 1.6855 | 1.4048 | 0.2655 | 0.2945 | 0.2793 | 0.5163 | 0 | |
| | | 1.1539 | 0.8468 | 0.6205 | 0.6548 | 0.6372 | 0.7410 | 1 | |
| | | 0.7523 | 0.7215 | 0.6573 | 0.7516 | 0.7013 | 0.7662 | 2 | |
| | | 0.5749 | 0.6737 | 0.6735 | 0.7536 | 0.7113 | 0.7868 | 3 | |
| | | 0.4482 | 0.6720 | 0.7027 | 0.7792 | 0.7390 | 0.7917 | 4 | |
| | | 0.3695 | 0.6387 | 0.7142 | 0.7948 | 0.7523 | 0.8047 | 5 | |
| | | 0.3123 | 0.6608 | 0.7443 | 0.7958 | 0.7692 | 0.8154 | 6 | |
| | | 0.2621 | 0.6925 | 0.7431 | 0.7822 | 0.7622 | 0.8060 | 7 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.0.dev0 |
| | - TensorFlow 2.16.1 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
