| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: trocr-base-printed_captcha_ocr |
| | results: [] |
| | language: |
| | - en |
| | metrics: |
| | - cer |
| | pipeline_tag: image-to-text |
| | --- |
| | |
| | # trocr-base-printed_captcha_ocr |
| |
|
| | This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/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/Vision_Audio_and_Multimodal_Projects/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 |
| | - 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: 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 |
