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# lmv2-g-passport-197-doc-09-13

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: 0.0438
- Country Code Precision: 0.9412
- Country Code Recall: 0.9697
- Country Code F1: 0.9552
- Country Code Number: 33
- Date Of Birth Precision: 0.9714
- Date Of Birth Recall: 1.0
- Date Of Birth F1: 0.9855
- Date Of Birth Number: 34
- Date Of Expiry Precision: 1.0
- Date Of Expiry Recall: 1.0
- Date Of Expiry F1: 1.0
- Date Of Expiry Number: 36
- Date Of Issue Precision: 1.0
- Date Of Issue Recall: 1.0
- Date Of Issue F1: 1.0
- Date Of Issue Number: 36
- Given Name Precision: 0.9444
- Given Name Recall: 1.0
- Given Name F1: 0.9714
- Given Name Number: 34
- Nationality Precision: 0.9714
- Nationality Recall: 1.0
- Nationality F1: 0.9855
- Nationality Number: 34
- Passport No Precision: 0.9118
- Passport No Recall: 0.9688
- Passport No F1: 0.9394
- Passport No Number: 32
- Place Of Birth Precision: 1.0
- Place Of Birth Recall: 0.9730
- Place Of Birth F1: 0.9863
- Place Of Birth Number: 37
- Place Of Issue Precision: 1.0
- Place Of Issue Recall: 0.9722
- Place Of Issue F1: 0.9859
- Place Of Issue Number: 36
- Sex Precision: 0.9655
- Sex Recall: 0.9333
- Sex F1: 0.9492
- Sex Number: 30
- Surname Precision: 0.9259
- Surname Recall: 1.0
- Surname F1: 0.9615
- Surname Number: 25
- Type Precision: 1.0
- Type Recall: 1.0
- Type F1: 1.0
- Type Number: 27
- Overall Precision: 0.97
- Overall Recall: 0.9848
- Overall F1: 0.9773
- Overall Accuracy: 0.9941

## 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 | Country Code Precision | Country Code Recall | Country Code F1 | Country Code Number | Date Of Birth Precision | Date Of Birth Recall | Date Of Birth F1 | Date Of Birth Number | Date Of Expiry Precision | Date Of Expiry Recall | Date Of Expiry F1 | Date Of Expiry Number | Date Of Issue Precision | Date Of Issue Recall | Date Of Issue F1 | Date Of Issue Number | Given Name Precision | Given Name Recall | Given Name F1 | Given Name Number | Nationality Precision | Nationality Recall | Nationality F1 | Nationality Number | Passport No Precision | Passport No Recall | Passport No F1 | Passport No Number | Place Of Birth Precision | Place Of Birth Recall | Place Of Birth F1 | Place Of Birth Number | Place Of Issue Precision | Place Of Issue Recall | Place Of Issue F1 | Place Of Issue Number | Sex Precision | Sex Recall | Sex F1 | Sex Number | Surname Precision | Surname Recall | Surname F1 | Surname Number | Type Precision | Type Recall | Type F1 | Type Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:------------------------:|:---------------------:|:-----------------:|:---------------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:---------------------:|:------------------:|:--------------:|:------------------:|:---------------------:|:------------------:|:--------------:|:------------------:|:------------------------:|:---------------------:|:-----------------:|:---------------------:|:------------------------:|:---------------------:|:-----------------:|:---------------------:|:-------------:|:----------:|:------:|:----------:|:-----------------:|:--------------:|:----------:|:--------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 1.6757        | 1.0   | 157  | 1.2569          | 0.0                    | 0.0                 | 0.0             | 33                  | 0.0                     | 0.0                  | 0.0              | 34                   | 0.2466                   | 1.0                   | 0.3956            | 36                    | 0.0                     | 0.0                  | 0.0              | 36                   | 0.0                  | 0.0               | 0.0           | 34                | 0.0                   | 0.0                | 0.0            | 34                 | 0.0                   | 0.0                | 0.0            | 32                 | 0.0                      | 0.0                   | 0.0               | 37                    | 0.0                      | 0.0                   | 0.0               | 36                    | 0.0           | 0.0        | 0.0    | 30         | 0.0               | 0.0            | 0.0        | 25             | 0.0            | 0.0         | 0.0     | 27          | 0.2466            | 0.0914         | 0.1333     | 0.8446           |
| 0.9214        | 2.0   | 314  | 0.5683          | 0.9394                 | 0.9394              | 0.9394          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.5625               | 0.5294            | 0.5455        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.6098                | 0.7812             | 0.6849         | 32                 | 0.9394                   | 0.8378                | 0.8857            | 37                    | 0.8293                   | 0.9444                | 0.8831            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.6129            | 0.76           | 0.6786     | 25             | 1.0            | 0.8889      | 0.9412  | 27          | 0.8642            | 0.8883         | 0.8761     | 0.9777           |
| 0.4452        | 3.0   | 471  | 0.3266          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.5556               | 0.4412            | 0.4918        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.625                 | 0.7812             | 0.6944         | 32                 | 1.0                      | 0.8108                | 0.8955            | 37                    | 0.7556                   | 0.9444                | 0.8395            | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.5556            | 0.8            | 0.6557     | 25             | 1.0            | 0.7037      | 0.8261  | 27          | 0.8532            | 0.8706         | 0.8618     | 0.9784           |
| 0.2823        | 4.0   | 628  | 0.2215          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.75                 | 0.8824            | 0.8108        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.8378                | 0.9118            | 37                    | 0.9459                   | 0.9722                | 0.9589            | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.75              | 0.96           | 0.8421     | 25             | 1.0            | 0.9630      | 0.9811  | 27          | 0.9286            | 0.9569         | 0.9425     | 0.9885           |
| 0.2092        | 5.0   | 785  | 0.1633          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.8889               | 0.9412            | 0.9143        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.8857                | 0.9688             | 0.9254         | 32                 | 1.0                      | 0.8649                | 0.9275            | 37                    | 0.8974                   | 0.9722                | 0.9333            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.8889            | 0.96           | 0.9231     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9525            | 0.9670         | 0.9597     | 0.9918           |
| 0.1593        | 6.0   | 942  | 0.1331          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9730                  | 1.0                  | 0.9863           | 36                   | 0.8857               | 0.9118            | 0.8986        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9722                   | 0.9459                | 0.9589            | 37                    | 0.9722                   | 0.9722                | 0.9722            | 36                    | 1.0           | 0.9        | 0.9474 | 30         | 0.8571            | 0.96           | 0.9057     | 25             | 1.0            | 0.9630      | 0.9811  | 27          | 0.9549            | 0.9670         | 0.9609     | 0.9908           |
| 0.1288        | 7.0   | 1099 | 0.1064          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9444               | 1.0               | 0.9714        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.92              | 0.92           | 0.92       | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9723            | 0.9797         | 0.9760     | 0.9941           |
| 0.1035        | 8.0   | 1256 | 0.1043          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9706               | 0.9706            | 0.9706        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9231                   | 0.9730                | 0.9474            | 37                    | 0.75                     | 1.0                   | 0.8571            | 36                    | 0.9032        | 0.9333     | 0.9180 | 30         | 0.6486            | 0.96           | 0.7742     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9085            | 0.9822         | 0.9439     | 0.9856           |
| 0.0843        | 9.0   | 1413 | 0.0823          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9143               | 0.9412            | 0.9275        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9394                | 0.9688             | 0.9538         | 32                 | 0.9032                   | 0.7568                | 0.8235            | 37                    | 0.9211                   | 0.9722                | 0.9459            | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.7059            | 0.96           | 0.8136     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9355            | 0.9569         | 0.9460     | 0.9905           |
| 0.0733        | 10.0  | 1570 | 0.0738          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9459                   | 0.9459                | 0.9459            | 37                    | 1.0                      | 0.9444                | 0.9714            | 36                    | 0.8485        | 0.9333     | 0.8889 | 30         | 0.8333            | 1.0            | 0.9091     | 25             | 0.9643         | 1.0         | 0.9818  | 27          | 0.9484            | 0.9797         | 0.9638     | 0.9911           |
| 0.0614        | 11.0  | 1727 | 0.0661          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9459                   | 0.9459                | 0.9459            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.9231            | 0.96           | 0.9412     | 25             | 1.0            | 0.9630      | 0.9811  | 27          | 0.9673            | 0.9772         | 0.9722     | 0.9934           |
| 0.0548        | 12.0  | 1884 | 0.0637          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9730                  | 1.0                  | 0.9863           | 36                   | 0.9167               | 0.9706            | 0.9429        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9459                   | 0.9459                | 0.9459            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.875         | 0.9333     | 0.9032 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 0.9643         | 1.0         | 0.9818  | 27          | 0.9507            | 0.9797         | 0.965      | 0.9921           |
| 0.0515        | 13.0  | 2041 | 0.0562          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9730                   | 0.9730                | 0.9730            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.8621            | 1.0            | 0.9259     | 25             | 0.9643         | 1.0         | 0.9818  | 27          | 0.9605            | 0.9873         | 0.9737     | 0.9931           |
| 0.0431        | 14.0  | 2198 | 0.0513          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9444               | 1.0               | 0.9714        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.9231            | 0.96           | 0.9412     | 25             | 1.0            | 0.9630      | 0.9811  | 27          | 0.9724            | 0.9822         | 0.9773     | 0.9944           |
| 0.0413        | 15.0  | 2355 | 0.0582          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9706                  | 0.9706               | 0.9706           | 34                   | 0.9730                   | 1.0                   | 0.9863            | 36                    | 0.9730                  | 1.0                  | 0.9863           | 36                   | 0.9429               | 0.9706            | 0.9565        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.8929            | 1.0            | 0.9434     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9627            | 0.9822         | 0.9724     | 0.9934           |
| 0.035         | 16.0  | 2512 | 0.0556          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 0.9722               | 0.9859           | 36                   | 0.8857               | 0.9118            | 0.8986        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9730                   | 0.9730                | 0.9730            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.8621            | 1.0            | 0.9259     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9552            | 0.9746         | 0.9648     | 0.9915           |
| 0.0316        | 17.0  | 2669 | 0.0517          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9167               | 0.9706            | 0.9429        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.875         | 0.9333     | 0.9032 | 30         | 0.8929            | 1.0            | 0.9434     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9579            | 0.9822         | 0.9699     | 0.9928           |
| 0.027         | 18.0  | 2826 | 0.0502          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 0.9730                   | 1.0                   | 0.9863            | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9444               | 1.0               | 0.9714        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9032        | 0.9333     | 0.9180 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9628            | 0.9848         | 0.9737     | 0.9931           |
| 0.026         | 19.0  | 2983 | 0.0481          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9189               | 1.0               | 0.9577        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.8333            | 1.0            | 0.9091     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9581            | 0.9873         | 0.9725     | 0.9928           |
| 0.026         | 20.0  | 3140 | 0.0652          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 0.9730                   | 1.0                   | 0.9863            | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.8611                | 0.9688             | 0.9118         | 32                 | 0.9730                   | 0.9730                | 0.9730            | 37                    | 0.9730                   | 1.0                   | 0.9863            | 36                    | 0.8235        | 0.9333     | 0.8750 | 30         | 0.8333            | 1.0            | 0.9091     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9419            | 0.9873         | 0.9641     | 0.9882           |
| 0.0311        | 21.0  | 3297 | 0.0438          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9444               | 1.0               | 0.9714        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.97              | 0.9848         | 0.9773     | 0.9941           |
| 0.0216        | 22.0  | 3454 | 0.0454          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9706               | 0.9706            | 0.9706        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9699            | 0.9822         | 0.9760     | 0.9941           |
| 0.0196        | 23.0  | 3611 | 0.0510          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.8718                   | 0.9189                | 0.8947            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 0.9655        | 0.9333     | 0.9492 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9602            | 0.9797         | 0.9698     | 0.9934           |
| 0.0176        | 24.0  | 3768 | 0.0457          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9706               | 0.9706            | 0.9706        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.8929            | 1.0            | 0.9434     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9676            | 0.9848         | 0.9761     | 0.9938           |
| 0.0141        | 25.0  | 3925 | 0.0516          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9722                   | 0.9459                | 0.9589            | 37                    | 0.9730                   | 1.0                   | 0.9863            | 36                    | 0.875         | 0.9333     | 0.9032 | 30         | 0.9231            | 0.96           | 0.9412     | 25             | 0.9643         | 1.0         | 0.9818  | 27          | 0.9579            | 0.9822         | 0.9699     | 0.9928           |
| 0.0129        | 26.0  | 4082 | 0.0508          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 0.9730                   | 1.0                   | 0.9863            | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 1.0                   | 1.0               | 36                    | 0.875         | 0.9333     | 0.9032 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9629            | 0.9873         | 0.9749     | 0.9934           |
| 0.0125        | 27.0  | 4239 | 0.0455          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.9259            | 1.0            | 0.9615     | 25             | 0.8710         | 1.0         | 0.9310  | 27          | 0.9652            | 0.9848         | 0.9749     | 0.9934           |
| 0.0131        | 28.0  | 4396 | 0.0452          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 0.9722               | 0.9859           | 36                   | 0.9429               | 0.9706            | 0.9565        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 1.0                      | 0.9730                | 0.9863            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.9231            | 0.96           | 0.9412     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9722            | 0.9772         | 0.9747     | 0.9941           |
| 0.0112        | 29.0  | 4553 | 0.0465          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.9714               | 1.0               | 0.9855        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9459                   | 0.9459                | 0.9459            | 37                    | 0.9722                   | 0.9722                | 0.9722            | 36                    | 0.9333        | 0.9333     | 0.9333 | 30         | 0.9583            | 0.92           | 0.9388     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9649            | 0.9772         | 0.9710     | 0.9931           |
| 0.0152        | 30.0  | 4710 | 0.0510          | 0.9412                 | 0.9697              | 0.9552          | 33                  | 0.9714                  | 1.0                  | 0.9855           | 34                   | 1.0                      | 1.0                   | 1.0               | 36                    | 1.0                     | 1.0                  | 1.0              | 36                   | 0.8857               | 0.9118            | 0.8986        | 34                | 0.9714                | 1.0                | 0.9855         | 34                 | 0.9118                | 0.9688             | 0.9394         | 32                 | 0.9730                   | 0.9730                | 0.9730            | 37                    | 1.0                      | 0.9722                | 0.9859            | 36                    | 1.0           | 0.9333     | 0.9655 | 30         | 0.9231            | 0.96           | 0.9412     | 25             | 1.0            | 1.0         | 1.0     | 27          | 0.9648            | 0.9746         | 0.9697     | 0.9931           |


### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "lmv2-g-passport-197-doc-09-13", "results": []}]}
transformers pytorch tensorboard layoutlmv2 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

lmv2-g-passport-197-doc-09-13
=============================


This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0438
* Country Code Precision: 0.9412
* Country Code Recall: 0.9697
* Country Code F1: 0.9552
* Country Code Number: 33
* Date Of Birth Precision: 0.9714
* Date Of Birth Recall: 1.0
* Date Of Birth F1: 0.9855
* Date Of Birth Number: 34
* Date Of Expiry Precision: 1.0
* Date Of Expiry Recall: 1.0
* Date Of Expiry F1: 1.0
* Date Of Expiry Number: 36
* Date Of Issue Precision: 1.0
* Date Of Issue Recall: 1.0
* Date Of Issue F1: 1.0
* Date Of Issue Number: 36
* Given Name Precision: 0.9444
* Given Name Recall: 1.0
* Given Name F1: 0.9714
* Given Name Number: 34
* Nationality Precision: 0.9714
* Nationality Recall: 1.0
* Nationality F1: 0.9855
* Nationality Number: 34
* Passport No Precision: 0.9118
* Passport No Recall: 0.9688
* Passport No F1: 0.9394
* Passport No Number: 32
* Place Of Birth Precision: 1.0
* Place Of Birth Recall: 0.9730
* Place Of Birth F1: 0.9863
* Place Of Birth Number: 37
* Place Of Issue Precision: 1.0
* Place Of Issue Recall: 0.9722
* Place Of Issue F1: 0.9859
* Place Of Issue Number: 36
* Sex Precision: 0.9655
* Sex Recall: 0.9333
* Sex F1: 0.9492
* Sex Number: 30
* Surname Precision: 0.9259
* Surname Recall: 1.0
* Surname F1: 0.9615
* Surname Number: 25
* Type Precision: 1.0
* Type Recall: 1.0
* Type F1: 1.0
* Type Number: 27
* Overall Precision: 0.97
* Overall Recall: 0.9848
* Overall F1: 0.9773
* Overall Accuracy: 0.9941


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



### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.1+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1



### 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 ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.1+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.1+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #layoutlmv2 #token-classification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.12.1+cu113
* Datasets 2.2.2
* Tokenizers 0.12.1