readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: layoutlm-ttform
    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-ttform
  
  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: 0.8035
  - Validation Loss: 0.6094
  - Train Overall Precision: 0.8793
  - Train Overall Recall: 0.7969
  - Train Overall F1: 0.8361
  - Train Overall Accuracy: 0.9204
  - 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 |
  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
  | 1.9166     | 1.6851          | 0.125                   | 0.1562               | 0.1389           | 0.6567                 | 0     |
  | 1.7084     | 1.4917          | 0.3793                  | 0.3438               | 0.3607           | 0.7811                 | 1     |
  | 1.5343     | 1.3162          | 0.4151                  | 0.3438               | 0.3761           | 0.7811                 | 2     |
  | 1.3620     | 1.1511          | 0.4528                  | 0.375                | 0.4103           | 0.8159                 | 3     |
  | 1.2149     | 0.9970          | 0.5818                  | 0.5                  | 0.5378           | 0.8358                 | 4     |
  | 1.0742     | 0.8546          | 0.8393                  | 0.7344               | 0.7833           | 0.8905                 | 5     |
  | 0.9422     | 0.7259          | 0.8393                  | 0.7344               | 0.7833           | 0.9154                 | 6     |
  | 0.8035     | 0.6094          | 0.8793                  | 0.7969               | 0.8361           | 0.9204                 | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - TensorFlow 2.9.2
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  