| --- |
| language: |
| - el |
| base_model: |
| - glsch/bowphs_GreBerta_rhetores |
| pipeline_tag: text-classification |
| inference: false |
| model-index: |
| - name: bowphs_GreBerta_rhetores_classification |
| results: |
| - task: |
| type: text-classification |
| metrics: |
| - name: f1 |
| type: f1 |
| value: 0.9014 |
| verified: false |
| - task: |
| type: text-classification |
| metrics: |
| - name: accuracy |
| type: accuracy |
| value: 0.9012 |
| verified: false |
| metrics: |
| - f1 |
| - accuracy |
| --- |
| <img src="rhetores.jpg"> |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{plm_aa_ars_rhetorica, |
| title={Fine-Tuning Pre-Trained Language Models for Authorship Attribution of the Pseudo-Dionysian <i>Ars Rhetorica</i>}, |
| author={Schmidt, Gleb and Vybornaya, Veronika and Yamshchikov, Ivan P.}, |
| booktitle={Proceedings of the Computational Humanities Research Conference}, |
| eventtitle={Computational Humanities Research Conference}, |
| eventdate = {2024-12-04/2024-12-06}, |
| year={2024} |
| } |
| ``` |