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--- |
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language: grc |
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license: apache-2.0 |
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inference: false |
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--- |
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# GrεTa |
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The paper [Exploring Language Models for Classical Philology](https://todo.com) is the first effort to systematically provide state-of-the-art language models for Classical Philology. GrεTa is a T5-base sized, monolingual, encoder-decoder variant. |
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This model was trained in two stages. Initially, it was pre-trained on a recently acquired corpus that leverages OCR scans obtained from the [Internet Archive](https://archive.org/). Subsequently, the model was further trained using data from the [Open Greek & Latin Project](https://opengreekandlatin.org/), the CLARIN corpus [Greek Medieval Texts](https://inventory.clarin.gr/corpus/890), and the [Patrologia Graeca](https://patristica.net/graeca/). |
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Further information can be found in our paper or in our [GitHub repository](https://github.com/Heidelberg-NLP/ancient-language-models). |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForConditionalGeneration |
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tokenizer = AutoTokenizer.from_pretrained('bowphs/GreTa') |
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model = AutoModelForConditionalGeneration.from_pretrained('bowphs/GreTa') |
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``` |
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Please check out the awesome Hugging Face tutorials on how to fine-tune our models. |
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## Evaluation Results |
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When fine-tuned on data from [Universal Dependencies 2.10](https://universaldependencies.org/), GrεTa achieves the following results on the Ancient Greek Perseus dataset: |
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| Task | XPoS | UPoS | UAS | LAS | Lemma | |
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|:--:|:--:|:--:|:--:|:--:|:--:| |
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| |94.44|89.03|87.32|83.06|91.14| |
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Please note that the PoS tagging and dependency parsing results are obtained using _only_ the encoder component of the model. |
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## Contact |
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If you have any questions or problems, feel free to [reach out](mailto:riemenschneider@cl.uni-heidelberg.de). |
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## Citation |
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```bibtex |
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@incollection{riemenschneiderfrank:2023, |
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address = "Toronto, Canada", |
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author = "Riemenschneider, Frederick and Frank, Anette", |
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booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23)", |
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note = "to appear", |
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pubType = "incollection", |
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publisher = "Association for Computational Linguistics", |
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title = "Exploring Large Language Models for Classical Philology", |
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url = "https://arxiv.org/abs/2305.13698", |
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year = "2023", |
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key = "riemenschneiderfrank:2023" |
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} |
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``` |
