m3hrdadfi / albert-fa-base-v2-clf-digimag

huggingface.co
Total runs: 18
24-hour runs: 2
7-day runs: 5
30-day runs: -1
Model's Last Updated: December 26 2020
text-classification

Introduction of albert-fa-base-v2-clf-digimag

Model Details of albert-fa-base-v2-clf-digimag

ALBERT Persian

A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language

میتونی بهش بگی برت_کوچولو

ALBERT-Persian is the first attempt on ALBERT for the Persian Language. The model was trained based on Google's ALBERT BASE Version 2.0 over various writing styles from numerous subjects (e.g., scientific, novels, news) with more than 3.9M documents, 73M sentences, and 1.3B words, like the way we did for ParsBERT.

Please follow the ALBERT-Persian repo for the latest information about previous and current models.

Persian Text Classification [DigiMag, Persian News]

The task target is labeling texts in a supervised manner in both existing datasets DigiMag and Persian News .

DigiMag

A total of 8,515 articles scraped from Digikala Online Magazine . This dataset includes seven different classes.

  1. Video Games
  2. Shopping Guide
  3. Health Beauty
  4. Science Technology
  5. General
  6. Art Cinema
  7. Books Literature
Label #
Video Games 1967
Shopping Guide 125
Health Beauty 1610
Science Technology 2772
General 120
Art Cinema 1667
Books Literature 254

Download You can download the dataset from here

Results

The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures.

Dataset ALBERT-fa-base-v2 ParsBERT-v1 mBERT
Digikala Magazine 92.33 93.59 90.72
BibTeX entry and citation info

Please cite in publications as the following:

@misc{ALBERTPersian,
  author = {Mehrdad Farahani},
  title = {ALBERT-Persian: A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/m3hrdadfi/albert-persian}},
}

@article{ParsBERT,
    title={ParsBERT: Transformer-based Model for Persian Language Understanding},
    author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
    journal={ArXiv},
    year={2020},
    volume={abs/2005.12515}
}
Questions?

Post a Github issue on the ALBERT-Persian repo.

Runs of m3hrdadfi albert-fa-base-v2-clf-digimag on huggingface.co

18
Total runs
2
24-hour runs
1
3-day runs
5
7-day runs
-1
30-day runs

More Information About albert-fa-base-v2-clf-digimag huggingface.co Model

More albert-fa-base-v2-clf-digimag license Visit here:

https://choosealicense.com/licenses/apache-2.0

albert-fa-base-v2-clf-digimag huggingface.co

albert-fa-base-v2-clf-digimag huggingface.co is an AI model on huggingface.co that provides albert-fa-base-v2-clf-digimag's model effect (), which can be used instantly with this m3hrdadfi albert-fa-base-v2-clf-digimag model. huggingface.co supports a free trial of the albert-fa-base-v2-clf-digimag model, and also provides paid use of the albert-fa-base-v2-clf-digimag. Support call albert-fa-base-v2-clf-digimag model through api, including Node.js, Python, http.

albert-fa-base-v2-clf-digimag huggingface.co Url

https://huggingface.co/m3hrdadfi/albert-fa-base-v2-clf-digimag

m3hrdadfi albert-fa-base-v2-clf-digimag online free

albert-fa-base-v2-clf-digimag huggingface.co is an online trial and call api platform, which integrates albert-fa-base-v2-clf-digimag's modeling effects, including api services, and provides a free online trial of albert-fa-base-v2-clf-digimag, you can try albert-fa-base-v2-clf-digimag online for free by clicking the link below.

m3hrdadfi albert-fa-base-v2-clf-digimag online free url in huggingface.co:

https://huggingface.co/m3hrdadfi/albert-fa-base-v2-clf-digimag

albert-fa-base-v2-clf-digimag install

albert-fa-base-v2-clf-digimag is an open source model from GitHub that offers a free installation service, and any user can find albert-fa-base-v2-clf-digimag on GitHub to install. At the same time, huggingface.co provides the effect of albert-fa-base-v2-clf-digimag install, users can directly use albert-fa-base-v2-clf-digimag installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

albert-fa-base-v2-clf-digimag install url in huggingface.co:

https://huggingface.co/m3hrdadfi/albert-fa-base-v2-clf-digimag

Url of albert-fa-base-v2-clf-digimag

albert-fa-base-v2-clf-digimag huggingface.co Url

Provider of albert-fa-base-v2-clf-digimag huggingface.co

m3hrdadfi
ORGANIZATIONS

Other API from m3hrdadfi

huggingface.co

Total runs: 33
Run Growth: 17
Growth Rate: 53.13%
Updated:August 11 2021
huggingface.co

Total runs: 2
Run Growth: -8
Growth Rate: -400.00%
Updated:April 03 2024