I'm trying to use code from this repo to train OCR for Arabic language. Additionally, the dataset has hand written text which makes it even complicated, but this is just for learning purposes.
I trained a model without any modifications to the workflow and the model architecture except for the dataset class. The model is giving me 0 WA and CA. So, I wanted to ask what possible changes we need to make the model learn?
So far, I'm trying to reverse the targets as Arabic is an RTL language unlike English. And to pad the images to the left instead of right. I'd like to hear your thoughts on this. Thanks.
I'm trying to use code from this repo to train OCR for Arabic language. Additionally, the dataset has hand written text which makes it even complicated, but this is just for learning purposes.
I trained a model without any modifications to the workflow and the model architecture except for the dataset class. The model is giving me 0 WA and CA. So, I wanted to ask what possible changes we need to make the model learn?
So far, I'm trying to reverse the targets as Arabic is an RTL language unlike English. And to pad the images to the left instead of right. I'd like to hear your thoughts on this. Thanks.