readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: modelv3_WS_CV0
    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. -->
  
  # modelv3_WS_CV0
  
  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3031
  - Ame: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 25}
  - Anguage: {'precision': 0.7777777777777778, 'recall': 0.8, 'f1': 0.7887323943661971, 'number': 35}
  - Du Degree: {'precision': 0.8428571428571429, 'recall': 0.9076923076923077, 'f1': 0.8740740740740741, 'number': 65}
  - Du End Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 2}
  - Du University: {'precision': 0.8421052631578947, 'recall': 0.8421052631578947, 'f1': 0.8421052631578947, 'number': 57}
  - Ears Ex: {'precision': 0.7407407407407407, 'recall': 0.8333333333333334, 'f1': 0.7843137254901961, 'number': 24}
  - Er Name: {'precision': 0.14285714285714285, 'recall': 0.5, 'f1': 0.22222222222222224, 'number': 2}
  - Kill: {'precision': 0.9552715654952076, 'recall': 0.861671469740634, 'f1': 0.9060606060606061, 'number': 347}
  - Ractice: {'precision': 0.5714285714285714, 'recall': 0.7741935483870968, 'f1': 0.6575342465753424, 'number': 31}
  - Rade: {'precision': 0.7741935483870968, 'recall': 0.7741935483870968, 'f1': 0.7741935483870968, 'number': 31}
  - Ummarize: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 398}
  - Xpertise: {'precision': 0.9924812030075187, 'recall': 0.9705882352941176, 'f1': 0.9814126394052045, 'number': 136}
  - X Company: {'precision': 0.9247311827956989, 'recall': 0.945054945054945, 'f1': 0.9347826086956522, 'number': 182}
  - X Description: {'precision': 0.9616087751371115, 'recall': 0.9763988332007425, 'f1': 0.9689473684210527, 'number': 3771}
  - X End Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
  - X Location: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 5}
  - X Position: {'precision': 0.8184615384615385, 'recall': 0.7430167597765364, 'f1': 0.7789165446559297, 'number': 358}
  - X Start Date: {'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571, 'number': 6}
  - Overall Precision: 0.9424
  - Overall Recall: 0.9467
  - Overall F1: 0.9445
  - Overall Accuracy: 0.9357
  
  ## 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: 20
  - 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 Location                                                | X Position                                                                                                | X Start Date                                                                             | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------:|:--------------------------------