d1mitriz
Updated README
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metadata
language:
  - el
tags:
  - text
  - language-modeling
  - bert
  - pretraining
  - greek-media
  - domain-adaptation
pipeline_tag: fill-mask
metrics:
  - accuracy
model-index:
  - name: greek-media-bert-base-uncased
    results: []

Greek Media BERT (uncased)

This model is a domain-adapted version of nlpaueb/bert-base-greek-uncased-v1 on Greek media centric data.

Model description

Details will be updated soon.

Intended uses & limitations

Details will be updated soon.

Training and evaluation data

Details will be updated soon.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Details will be updated soon.

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.12.0+cu116
  • Tensorflow 2.11.0
  • Datasets 2.3.2
  • Tokenizers 0.12.1

Citation

The model has been officially released with the article "PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language. Dimitrios Zaikis, Nikolaos Stylianou and Ioannis Vlahavas. In the Special Issue: New Techniques of Machine Learning and Deep Learning in Text Classification, Applied Sciences Journal. 2023" (https://www.mdpi.com/).

Article has been accepted for publication. Details will be updated soon.

If you use the model, please cite the following:

@Article{greek-media-bert-base-uncased,
    AUTHOR = {Zaikis, Dimitrios and Stylianou, Nikolaos and Vlahavas, Ioannis},
    TITLE = {PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language},
    JOURNAL = {Applied Sciences},
    VOLUME = {},
    YEAR = {2023},
    NUMBER = {},
    ARTICLE-NUMBER = {},
    URL = {https://www.mdpi.com/},
    ISSN = {},
    DOI = {}
}