| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: microsoft/layoutlm-base-uncased |
| | model-index: |
| | - name: layoutlm-invoice-tf-1 |
| | 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-1 |
| |
|
| | 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: 0.2994 |
| | - Validation Loss: 0.3489 |
| | - Train Overall Precision: 0.5682 |
| | - Train Overall Recall: 0.5668 |
| | - Train Overall F1: 0.5675 |
| | - Train Overall Accuracy: 0.8973 |
| | - 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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 2.4376 | 2.0394 | 0.0 | 0.0 | 0.0 | 0.3247 | 0 | |
| | | 1.7800 | 1.4827 | 0.0112 | 0.0202 | 0.0144 | 0.5774 | 1 | |
| | | 1.3231 | 1.0832 | 0.0710 | 0.1008 | 0.0833 | 0.6988 | 2 | |
| | | 0.9662 | 0.8311 | 0.1626 | 0.2015 | 0.1800 | 0.7421 | 3 | |
| | | 0.7250 | 0.6259 | 0.2949 | 0.3350 | 0.3137 | 0.8371 | 4 | |
| | | 0.5245 | 0.4803 | 0.4049 | 0.4131 | 0.4090 | 0.8646 | 5 | |
| | | 0.3951 | 0.3957 | 0.5206 | 0.5088 | 0.5146 | 0.8892 | 6 | |
| | | 0.2994 | 0.3489 | 0.5682 | 0.5668 | 0.5675 | 0.8973 | 7 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.0.dev0 |
| | - TensorFlow 2.16.1 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
