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