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: 0.3061
  - Validation Loss: 0.6626
  - Train Overall Precision: 0.7205
  - Train Overall Recall: 0.7863
  - Train Overall F1: 0.7519
  - Train Overall Accuracy: 0.8006
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.6700     | 1.3895          | 0.2812                  | 0.2880               | 0.2846           | 0.5333                 | 0     |
  | 1.1465     | 0.8828          | 0.5819                  | 0.6433               | 0.6111           | 0.7324                 | 1     |
  | 0.7878     | 0.7302          | 0.6497                  | 0.7240               | 0.6849           | 0.7791                 | 2     |
  | 0.6195     | 0.6630          | 0.6844                  | 0.7692               | 0.7243           | 0.7949                 | 3     |
  | 0.5031     | 0.6265          | 0.6929                  | 0.7903               | 0.7384           | 0.8112                 | 4     |
  | 0.4202     | 0.6244          | 0.7329                  | 0.7863               | 0.7587           | 0.8124                 | 5     |
  | 0.3479     | 0.6233          | 0.7275                  | 0.7702               | 0.7482           | 0.8127                 | 6     |
  | 0.3061     | 0.6626          | 0.7205                  | 0.7863               | 0.7519           | 0.8006                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  