readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: lmv2ubiai-pan8doc-06-11
    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. -->
  
  # lmv2ubiai-pan8doc-06-11
  
  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: 0.9633
  - Dob Precision: 1.0
  - Dob Recall: 1.0
  - Dob F1: 1.0
  - Dob Number: 2
  - Fname Precision: 0.6667
  - Fname Recall: 1.0
  - Fname F1: 0.8
  - Fname Number: 2
  - Name Precision: 1.0
  - Name Recall: 1.0
  - Name F1: 1.0
  - Name Number: 2
  - Pan Precision: 1.0
  - Pan Recall: 1.0
  - Pan F1: 1.0
  - Pan Number: 2
  - Overall Precision: 0.8889
  - Overall Recall: 1.0
  - Overall F1: 0.9412
  - Overall Accuracy: 0.9821
  
  ## 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: 4e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Dob Precision | Dob Recall | Dob F1 | Dob Number | Fname Precision | Fname Recall | Fname F1 | Fname Number | Name Precision | Name Recall | Name F1 | Name Number | Pan Precision | Pan Recall | Pan F1 | Pan Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:------:|:----------:|:---------------:|:------------:|:--------:|:------------:|:--------------:|:-----------:|:-------:|:-----------:|:-------------:|:----------:|:------:|:----------:|:-----------------:|:--------------:|:----------:|:----------------:|
  | 2.1195        | 1.0   | 6    | 1.7519          | 0.0           | 0.0        | 0.0    | 2          | 0.0             | 0.0          | 0.0      | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.0               | 0.0            | 0.0        | 0.7857           |
  | 1.6994        | 2.0   | 12   | 1.5117          | 0.0           | 0.0        | 0.0    | 2          | 0.0             | 0.0          | 0.0      | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.0               | 0.0            | 0.0        | 0.7857           |
  | 1.5521        | 3.0   | 18   | 1.4130          | 0.0           | 0.0        | 0.0    | 2          | 0.0             | 0.0          | 0.0      | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.0               | 0.0            | 0.0        | 0.7857           |
  | 1.4726        | 4.0   | 24   | 1.3410          | 0.0           | 0.0        | 0.0    | 2          | 0.0             | 0.0          | 0.0      | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.0               | 0.0            | 0.0        | 0.7857           |
  | 1.395         | 5.0   | 30   | 1.2693          | 0.0           | 0.0        | 0.0    | 2          | 0.0             | 0.0          | 0.0      | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.0               | 0.0            | 0.0        | 0.7857           |
  | 1.3131        | 6.0   | 36   | 1.2079          | 1.0           | 1.0        | 1.0    | 2          | 0.1667          | 0.5          | 0.25     | 2            | 0.0            | 0.0         | 0.0     | 2           | 0.0           | 0.0        | 0.0    | 2          | 0.3               | 0.375          | 0.3333     | 0.8929           |
  | 1.2474        | 7.0   | 42   | 1.1495          | 1.0           | 1.0        | 1.0    | 2          | 0.2             | 0.5          | 0.2857   | 2            | 0.0            | 0.0         | 0.0     | 2           | 1.0           | 1.0        | 1.0    | 2          | 0.4167            | 0.625          | 0.5        | 0.9286           |
  | 1.1869        | 8.0   | 48   | 1.0942          | 1.0           | 1.0        | 1.0    | 2          | 0.2             | 0.5          | 0.2857   | 2            | 0.0            | 0.0         | 0.0     | 2           | 1.0           | 1.0        | 1.0    | 2          | 0.4167            | 0.625          | 0.5        | 0.9286           |
  | 1.1369        | 9.0   | 54   | 1.0453          | 1.0           | 1.0        | 1.0    | 2          | 0.4             | 1.0          | 0.5714   | 2            | 0.0            | 0.0         | 0.0     | 2     