readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: LayoutLMv2_model_WS_CV
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # LayoutLMv2_model_WS_CV
  
  This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3923
  - Ame: {'precision': 1.0, 'recall': 0.9642857142857143, 'f1': 0.9818181818181818, 'number': 28}
  - Anguage: {'precision': 0.8823529411764706, 'recall': 0.9183673469387755, 'f1': 0.9, 'number': 49}
  - Du Degree: {'precision': 0.9272727272727272, 'recall': 0.9107142857142857, 'f1': 0.918918918918919, 'number': 56}
  - Du End Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 2}
  - Du University: {'precision': 0.9066666666666666, 'recall': 0.9444444444444444, 'f1': 0.9251700680272109, 'number': 72}
  - Ears Ex: {'precision': 0.8888888888888888, 'recall': 0.96, 'f1': 0.923076923076923, 'number': 25}
  - Er Name: {'precision': 0.2727272727272727, 'recall': 0.375, 'f1': 0.3157894736842105, 'number': 8}
  - Kill: {'precision': 0.9601139601139601, 'recall': 0.9796511627906976, 'f1': 0.9697841726618704, 'number': 344}
  - Ractice: {'precision': 0.6785714285714286, 'recall': 0.8260869565217391, 'f1': 0.7450980392156864, 'number': 23}
  - Rade: {'precision': 0.8333333333333334, 'recall': 0.8333333333333334, 'f1': 0.8333333333333334, 'number': 24}
  - Ummarize: {'precision': 1.0, 'recall': 0.9944649446494465, 'f1': 0.9972247918593894, 'number': 542}
  - Xpertise: {'precision': 1.0, 'recall': 0.3059360730593607, 'f1': 0.4685314685314685, 'number': 219}
  - X Company: {'precision': 0.9427312775330396, 'recall': 0.9727272727272728, 'f1': 0.9574944071588367, 'number': 220}
  - X Description: {'precision': 0.9617263843648208, 'recall': 0.9617263843648208, 'f1': 0.9617263843648208, 'number': 4912}
  - X End Date: {'precision': 1.0, 'recall': 0.08695652173913043, 'f1': 0.16, 'number': 23}
  - X Position: {'precision': 0.6798029556650246, 'recall': 0.968421052631579, 'f1': 0.7988422575976845, 'number': 285}
  - X Start Date: {'precision': 0.4782608695652174, 'recall': 1.0, 'f1': 0.6470588235294118, 'number': 11}
  - Overall Precision: 0.9417
  - Overall Recall: 0.9392
  - Overall F1: 0.9404
  - Overall Accuracy: 0.9339
  
  ## 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:
  - learning_rate: 3e-05
  - train_batch_size: 4
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 60
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Ame                                                                                                     | Anguage                                                                                                 | Du Degree                                                                                                | Du End Date                                               | Du University                                                                                           | Ears Ex                                                                                   | Er Name                                                                                    | Kill                                                                                                     | Ractice                                                                                                 | Rade                                                                                                    | Ummarize                                                                                                 | Xpertise                                                                                                  | X Company                                                                                                | X Description                                                                                             | X End Date                                                                                  | X Position                                                                                                | X Start Date                                                                                            | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------:|:------------