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: 0.0691
  - Validation Loss: 0.7709
  - Train Overall Precision: 0.7410
  - Train Overall Recall: 0.7953
  - Train Overall F1: 0.7672
  - Train Overall Accuracy: 0.8057
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.1546     | 0.6939          | 0.6387                  | 0.7381               | 0.6848           | 0.7761                 | 0     |
  | 0.6170     | 0.5872          | 0.7099                  | 0.7832               | 0.7448           | 0.7949                 | 1     |
  | 0.4005     | 0.6761          | 0.6766                  | 0.7777               | 0.7236           | 0.7729                 | 2     |
  | 0.2921     | 0.6447          | 0.7169                  | 0.7852               | 0.7495           | 0.7934                 | 3     |
  | 0.2029     | 0.7472          | 0.7019                  | 0.7953               | 0.7457           | 0.7852                 | 4     |
  | 0.1383     | 0.7195          | 0.7327                  | 0.7938               | 0.7620           | 0.8048                 | 5     |
  | 0.0932     | 0.7851          | 0.7272                  | 0.7998               | 0.7618           | 0.8063                 | 6     |
  | 0.0691     | 0.7709          | 0.7410                  | 0.7953               | 0.7672           | 0.8057                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - TensorFlow 2.10.0
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  