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: 0.2509
  - Validation Loss: 0.6942
  - Train Overall Precision: 0.7291
  - Train Overall Recall: 0.7888
  - Train Overall F1: 0.7578
  - Train Overall Accuracy: 0.8067
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.6886     | 1.4100          | 0.2324                  | 0.2313               | 0.2318           | 0.5009                 | 0     |
  | 1.1702     | 0.8486          | 0.5971                  | 0.6618               | 0.6278           | 0.7338                 | 1     |
  | 0.7521     | 0.7032          | 0.6561                  | 0.7341               | 0.6929           | 0.7687                 | 2     |
  | 0.5727     | 0.6268          | 0.6736                  | 0.7662               | 0.7169           | 0.7957                 | 3     |
  | 0.4586     | 0.6322          | 0.6909                  | 0.7772               | 0.7315           | 0.7999                 | 4     |
  | 0.3725     | 0.6378          | 0.7134                  | 0.7782               | 0.7444           | 0.8096                 | 5     |
  | 0.2987     | 0.6835          | 0.7270                  | 0.7777               | 0.7515           | 0.8056                 | 6     |
  | 0.2509     | 0.6942          | 0.7291                  | 0.7888               | 0.7578           | 0.8067                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - TensorFlow 2.6.0
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  