| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: microsoft/layoutlm-base-uncased |
| | model-index: |
| | - name: layoutlm-invoice-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-invoice-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: 0.2904 |
| | - Validation Loss: 0.3563 |
| | - Train Overall Precision: 0.5792 |
| | - Train Overall Recall: 0.5340 |
| | - Train Overall F1: 0.5557 |
| | - Train Overall Accuracy: 0.8995 |
| | - 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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 2.3852 | 2.0674 | 0.0 | 0.0 | 0.0 | 0.2968 | 0 | |
| | | 1.8171 | 1.5521 | 0.0108 | 0.0202 | 0.0141 | 0.5448 | 1 | |
| | | 1.3443 | 1.1118 | 0.0736 | 0.1108 | 0.0884 | 0.6812 | 2 | |
| | | 0.9892 | 0.8281 | 0.1794 | 0.2191 | 0.1973 | 0.7733 | 3 | |
| | | 0.7126 | 0.6356 | 0.3009 | 0.3199 | 0.3101 | 0.8324 | 4 | |
| | | 0.5465 | 0.4954 | 0.4051 | 0.3980 | 0.4015 | 0.8606 | 5 | |
| | | 0.3916 | 0.4266 | 0.4813 | 0.4534 | 0.4669 | 0.8778 | 6 | |
| | | 0.2904 | 0.3563 | 0.5792 | 0.5340 | 0.5557 | 0.8995 | 7 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.0.dev0 |
| | - TensorFlow 2.16.1 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
