This model is intended to demonstrate my ability to solve a complex problem using technology. You are welcome to test and experiment with this model, but it is at your own risk/peril.

Training and evaluation data

Dataset Source: https://www.kaggle.com/datasets/nickyazdani/license-plate-text-recognition-dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	CER
0.3144	1.0	2000	0.2463	0.0473
0.143	2.0	4000	0.1581	0.0368

Framework versions

Transformers 4.21.3
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1

cherwilco/trocr-base-printed_license_plates_ocr

trocr-base-printed_license_plates_ocr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cherwilco/
trocr-base-printed_license_plates_ocr