| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: cor-c/layoutlm-funsd-tf |
| | 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 [cor-c/layoutlm-funsd-tf](https://huggingface.co/cor-c/layoutlm-funsd-tf) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0632 |
| | - Validation Loss: 0.8795 |
| | - Train Overall Precision: 0.7424 |
| | - Train Overall Recall: 0.8038 |
| | - Train Overall F1: 0.7719 |
| | - Train Overall Accuracy: 0.8103 |
| | - 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| | - training_precision: mixed_float16 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch | |
| | |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:| |
| | | 0.2119 | 0.7340 | 0.7292 | 0.8053 | 0.7654 | 0.8046 | 0 | |
| | | 0.1948 | 0.7521 | 0.7406 | 0.7963 | 0.7674 | 0.8027 | 1 | |
| | | 0.1485 | 0.7879 | 0.7256 | 0.7988 | 0.7604 | 0.8019 | 2 | |
| | | 0.1220 | 0.7861 | 0.7403 | 0.7983 | 0.7682 | 0.8073 | 3 | |
| | | 0.1003 | 0.8253 | 0.7495 | 0.8018 | 0.7748 | 0.8087 | 4 | |
| | | 0.0825 | 0.8617 | 0.7491 | 0.7968 | 0.7722 | 0.8048 | 5 | |
| | | 0.0676 | 0.8938 | 0.7503 | 0.8128 | 0.7803 | 0.8062 | 6 | |
| | | 0.0632 | 0.8795 | 0.7424 | 0.8038 | 0.7719 | 0.8103 | 7 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.0.dev0 |
| | - TensorFlow 2.16.1 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| |
|
