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: 0.2280
  - Validation Loss: 0.6532
  - Train Overall Precision: 0.7218
  - Train Overall Recall: 0.7878
  - Train Overall F1: 0.7534
  - Train Overall Accuracy: 0.8144
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.6940     | 1.4151          | 0.2686                  | 0.2785               | 0.2735           | 0.5128                 | 0     |
  | 1.1731     | 0.8665          | 0.5771                  | 0.6101               | 0.5932           | 0.7267                 | 1     |
  | 0.7612     | 0.6849          | 0.6362                  | 0.7336               | 0.6814           | 0.7784                 | 2     |
  | 0.5630     | 0.6265          | 0.6748                  | 0.7592               | 0.7145           | 0.8017                 | 3     |
  | 0.4441     | 0.6256          | 0.6935                  | 0.7767               | 0.7328           | 0.8036                 | 4     |
  | 0.3641     | 0.6402          | 0.7115                  | 0.7772               | 0.7429           | 0.7940                 | 5     |
  | 0.2781     | 0.6248          | 0.7176                  | 0.7868               | 0.7506           | 0.8141                 | 6     |
  | 0.2280     | 0.6532          | 0.7218                  | 0.7878               | 0.7534           | 0.8144                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - TensorFlow 2.10.0
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  