readme: ---
  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: 0.2477
  - Validation Loss: 0.7106
  - Train Overall Precision: 0.7360
  - Train Overall Recall: 0.7918
  - Train Overall F1: 0.7629
  - Train Overall Accuracy: 0.7983
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.7300     | 1.4338          | 0.1989                  | 0.2313               | 0.2139           | 0.5265                 | 0     |
  | 1.1984     | 0.8999          | 0.5775                  | 0.5795               | 0.5785           | 0.7162                 | 1     |
  | 0.7785     | 0.7393          | 0.6713                  | 0.7040               | 0.6872           | 0.7634                 | 2     |
  | 0.5666     | 0.6416          | 0.7113                  | 0.7617               | 0.7356           | 0.7961                 | 3     |
  | 0.4447     | 0.6454          | 0.7165                  | 0.7737               | 0.7440           | 0.8003                 | 4     |
  | 0.3647     | 0.6500          | 0.7353                  | 0.7832               | 0.7585           | 0.8091                 | 5     |
  | 0.3044     | 0.6587          | 0.7266                  | 0.8053               | 0.7639           | 0.8119                 | 6     |
  | 0.2477     | 0.7106          | 0.7360                  | 0.7918               | 0.7629           | 0.7983                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - TensorFlow 2.9.2
  - Datasets 2.6.0
  - Tokenizers 0.13.1
  