readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: LayoutXLM_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. -->
  
  # LayoutXLM_model_WS_CV
  
  This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6223
  - Ame: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 22}
  - Anguage: {'precision': 0.7959183673469388, 'recall': 0.7647058823529411, 'f1': 0.7799999999999999, 'number': 51}
  - Du Degree: {'precision': 0.847457627118644, 'recall': 0.9803921568627451, 'f1': 0.909090909090909, 'number': 51}
  - Du Start Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 2}
  - Du University: {'precision': 0.9411764705882353, 'recall': 1.0, 'f1': 0.9696969696969697, 'number': 64}
  - Ears Ex: {'precision': 1.0, 'recall': 0.8846153846153846, 'f1': 0.9387755102040816, 'number': 26}
  - Er Name: {'precision': 0.6666666666666666, 'recall': 0.4444444444444444, 'f1': 0.5333333333333333, 'number': 9}
  - Kill: {'precision': 0.978494623655914, 'recall': 0.91, 'f1': 0.9430051813471503, 'number': 400}
  - Ractice: {'precision': 0.84, 'recall': 0.7777777777777778, 'f1': 0.8076923076923077, 'number': 27}
  - Rade: {'precision': 0.7666666666666667, 'recall': 0.8846153846153846, 'f1': 0.8214285714285715, 'number': 26}
  - Ummarize: {'precision': 0.9981132075471698, 'recall': 0.9981132075471698, 'f1': 0.9981132075471698, 'number': 530}
  - Xpertise: {'precision': 0.8598130841121495, 'recall': 0.3458646616541353, 'f1': 0.4932975871313673, 'number': 266}
  - X Company: {'precision': 0.9004149377593361, 'recall': 0.8821138211382114, 'f1': 0.8911704312114989, 'number': 246}
  - X Description: {'precision': 0.9247828074988569, 'recall': 0.9551357733175915, 'f1': 0.9397142525264258, 'number': 4235}
  - X Position: {'precision': 0.7435344827586207, 'recall': 0.8313253012048193, 'f1': 0.7849829351535835, 'number': 415}
  - X Start Date: {'precision': 1.0, 'recall': 0.21428571428571427, 'f1': 0.35294117647058826, 'number': 14}
  - Overall Precision: 0.9165
  - Overall Recall: 0.9149
  - Overall F1: 0.9157
  - Overall Accuracy: 0.9058
  
  ## 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: 2
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Ame                                                                                      | Anguage                                                                                                 | Du Degree                                                                                               | Du Start Date                                             | Du University                                                                                 | Ears Ex                                                                                                 | Er Name                                                                                                  | Kill                                                                                        | Ractice                                                                                                 | Rade                                                                                                    | Ummarize                                                                                                 | Xpertise                                                                                                  | X Company                                                                                                | X Description                                                                                             | X Position                                                                                               | X Start Date                                                                               | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------