metadata

base_model: microsoft/trocr-large-printed
tags:
  - generated_from_trainer
model-index:
  - name: trocr-large-printed-cmc7_tesseract_MICR_ocr
    results: []
license: bsd-3-clause
language:
  - en
metrics:
  - cer
pipeline_tag: image-to-text

trocr-large-printed-cmc7_tesseract_MICR_ocr

This model is a fine-tuned version of microsoft/trocr-large-printed.

Model description

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)/Tesseract%20MICR%20(CMC7%20Dataset)/TrOCR_cmc7_tesseractMICR.ipynb

Intended uses & limitations

This model is intended to demonstrate my ability to solve a complex problem using technology.

Training and evaluation data

Dataset Source: https://github.com/DoubangoTelecom/tesseractMICR/tree/master/datasets/cmc7

Histogram of Label Character Lengths

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: 5

Training results

The Character Error Rate (CER) for this model is 0.004970720413999727.

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3