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---
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](https://huggingface.co/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/2174928).
If you use the model, please cite the following:
```bibtex
@Article{app13053265,
AUTHOR = {Zaikis, Dimitrios and Stylianou, Nikolaos and Vlahavas, Ioannis},
TITLE = {PIMA: Parameter-Shared Intelligent Media Analytics Framework for Low Resource Languages},
JOURNAL = {Applied Sciences},
VOLUME = {13},
YEAR = {2023},
NUMBER = {5},
ARTICLE-NUMBER = {3265},
URL = {https://www.mdpi.com/2076-3417/13/5/3265},
ISSN = {2076-3417},
DOI = {10.3390/app13053265}
}
``` |