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: 0.2451
  - Validation Loss: 0.7339
  - Train Overall Precision: 0.7247
  - Train Overall Recall: 0.8058
  - Train Overall F1: 0.7631
  - Train Overall Accuracy: 0.7976
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.6758     | 1.4035          | 0.2734                  | 0.3191               | 0.2945           | 0.5113                 | 0     |
  | 1.1350     | 0.8802          | 0.5626                  | 0.6538               | 0.6048           | 0.7313                 | 1     |
  | 0.7417     | 0.6927          | 0.6604                  | 0.7602               | 0.7068           | 0.7805                 | 2     |
  | 0.5568     | 0.6715          | 0.7039                  | 0.7501               | 0.7263           | 0.7823                 | 3     |
  | 0.4493     | 0.6464          | 0.7073                  | 0.7782               | 0.7410           | 0.7980                 | 4     |
  | 0.3732     | 0.6112          | 0.7108                  | 0.7858               | 0.7464           | 0.8182                 | 5     |
  | 0.2949     | 0.6429          | 0.7123                  | 0.7988               | 0.7531           | 0.8070                 | 6     |
  | 0.2451     | 0.7339          | 0.7247                  | 0.8058               | 0.7631           | 0.7976                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - TensorFlow 2.9.2
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  