| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/layoutlm-base-uncased |
| | tags: |
| | - generated_from_keras_callback |
| | 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: 0.1679 |
| | - Validation Loss: 0.8176 |
| | - Epoch: 9 |
| |
|
| | ## 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 | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 1.7048 | 1.4669 | 0 | |
| | | 1.1586 | 0.8595 | 1 | |
| | | 0.7649 | 0.7245 | 2 | |
| | | 0.5608 | 0.6543 | 3 | |
| | | 0.4477 | 0.6336 | 4 | |
| | | 0.3699 | 0.6321 | 5 | |
| | | 0.2943 | 0.6849 | 6 | |
| | | 0.2402 | 0.6978 | 7 | |
| | | 0.2048 | 0.7372 | 8 | |
| | | 0.1679 | 0.8176 | 9 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.0 |
| | - TensorFlow 2.17.1 |
| | - Datasets 3.3.1 |
| | - Tokenizers 0.21.0 |
| | |
