HooshvareLab/bert-fa-base-uncased-clf-digimag

ParsBERT (v2.0) is a Transformer-based Model for Persian Language Understanding . The task target is labeling texts in a supervised manner in both existing datasets DigiMag and Persian News . A total of 8,515 articles scraped from Digikala Online Magazine. This dataset includes seven different classes. You can download the dataset from here. The following table summarizes the F1 score obtained by ParsBERt as compared to other models and architectures. It is based on the number of F1 scores obtained by the model and architecture of other models. The model is now being used to label texts in the new Persian corpora for other scopes, such as video games and,