metadata

language: grc
license: apache-2.0
inference: false
datasets:
  - bowphs/internet_archive_filtered

GrεBerta

The paper Exploring Language Models for Classical Philology is the first effort to systematically provide state-of-the-art language models for Classical Philology. GrεBerta is a RoBerta-base sized, monolingual, encoder-only variant. Further information can be found in our paper or in our GitHub repository.

Usage

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained('bowphs/GreBerta')
model = AutoModelForMaskedLM.from_pretrained('bowphs/GreBerta')

Please check out the awesome Hugging Face tutorials on how to fine-tune our models.

Evaluation Results

When fine-tuned on data from Universal Dependencies 2.10, GrεBerta achieves the following results on the Ancient Greek Perseus dataset:

Task	XPoS	UPoS	UAS	LAS
	95.83	91.09	88.20	83.98

Contact

If you have any questions or problems, feel free to reach out.

Citation

@incollection{riemenschneiderfrank:2023,
    address = "Toronto, Canada",
    author = "Riemenschneider, Frederick and Frank, Anette",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23)",
    note = "to appear",
    pubType = "incollection",
    publisher = "Association for Computational Linguistics",
    title = "Exploring Large Language Models for Classical Philology",
    url = "https://arxiv.org/abs/2305.13698",
    year = "2023",
    key = "riemenschneiderfrank:2023"
}