Modelpublic

DunnBC22/trocr-base-printed_captcha_ocr

sourceHugging Facemitupdated 6mo agoView on Hugging Face

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Model Card

trocr-base-printedcaptchaocr

This model is a fine-tuned version of microsoft/trocr-base-printed on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 0.1380
—Cer: 0.0075

Model description

This model extracts text from image Captcha inputs.

For more information on how it was created, check out the following link: https://github.com/DunnBC22/VisionAudioandMultimodalProjects/blob/main/Optical%20Character%20Recognition%20(OCR)/Captcha/OCR_captcha.ipynb

Intended uses & limitations

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/alizahidraja/captcha-data

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

—learning_rate: 5e-05
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
10.4464	1.0	107	0.5615	0.0879
10.4464	2.0	214	0.2432	0.0262
10.4464	3.0	321	0.1380	0.0075

Framework versions

—Transformers 4.22.1
—Pytorch 1.12.1
—Datasets 2.4.0
—Tokenizers 0.12.1

License Notice

This model is a fine-tuned derivative of a pretrained model. Users must comply with the original model license.

Dataset Notice

This model was fine-tuned on third-party datasets which may have separate licenses or usage restrictions.