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Updated README
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README.md
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- accuracy
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model-index:
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- name: greek-media-bert-base-uncased
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---
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# Greek Media BERT
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.1287
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- Accuracy: 0.7616
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Tensorflow 2.11.0
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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- accuracy
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model-index:
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- name: greek-media-bert-base-uncased
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- results: []
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---
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# Greek Media BERT
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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.
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## Model description
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Details will be updated soon.
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## Intended uses & limitations
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Details will be updated soon.
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## Training and evaluation data
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Details will be updated soon.
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## Training procedure
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- num_epochs: 3.0
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### Training results
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Details will be updated soon.
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### Framework versions
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- Tensorflow 2.11.0
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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### Citation
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The model has been officially released with the article "PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language.
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Dimitrios Zaikis, Nikolaos Stylianou and Ioannis Vlahavas.
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In the Special Issue: New Techniques of Machine Learning and Deep Learning in Text Classification, Applied Sciences Journal.
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2023" (https://www.mdpi.com/).
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_Article has been accepted for publication. Details will be updated soon._
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If you use the model, please cite the following:
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```bibtex
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@Article{greek-media-bert-base-uncased,
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AUTHOR = {Zaikis, Dimitrios and Stylianou, Nikolaos and Vlahavas, Ioannis},
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TITLE = {PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language},
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JOURNAL = {Applied Sciences},
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VOLUME = {},
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YEAR = {2023},
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NUMBER = {},
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ARTICLE-NUMBER = {},
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URL = {https://www.mdpi.com/},
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ISSN = {},
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DOI = {}
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}
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```
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