| | --- |
| | license: mit |
| | base_model: microsoft/layoutlm-base-uncased |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Aanshula/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. --> |
| |
|
| | # Aanshula/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: 0.3182 |
| | - Validation Loss: 0.6807 |
| | - Train Overall Precision: 0.7172 |
| | - Train Overall Recall: 0.7878 |
| | - Train Overall F1: 0.7508 |
| | - Train Overall Accuracy: 0.7864 |
| | - 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: {'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 | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 1.7000 | 1.4167 | 0.2445 | 0.2107 | 0.2264 | 0.4831 | 0 | |
| | | 1.1656 | 0.8677 | 0.5749 | 0.6257 | 0.5992 | 0.7251 | 1 | |
| | | 0.7704 | 0.7254 | 0.6356 | 0.7160 | 0.6734 | 0.7637 | 2 | |
| | | 0.5758 | 0.6690 | 0.6851 | 0.7476 | 0.7150 | 0.7857 | 3 | |
| | | 0.4526 | 0.6096 | 0.7085 | 0.7757 | 0.7406 | 0.8046 | 4 | |
| | | 0.3614 | 0.6834 | 0.7118 | 0.7657 | 0.7377 | 0.7872 | 5 | |
| | | 0.3182 | 0.6807 | 0.7172 | 0.7878 | 0.7508 | 0.7864 | 6 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - TensorFlow 2.15.0 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| | |
