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@@ -5,21 +5,37 @@ base_model:
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  - bowphs/GreBerta
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  pipeline_tag: text-classification
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  model-index:
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- - name: bowphs_GreBerta_rhetores_classification
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- results:
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- - task:
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- type: text-classification
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- metrics:
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- - name: f1
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- type: f1
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- value: 0.9014
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- verified: false
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- - task:
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- type: text-classification
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- metrics:
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- - name: accuracy
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- type: accuracy
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- value: 0.9012
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- verified: false
 
 
 
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  ---
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- <img src="rhetores.jpg">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - bowphs/GreBerta
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  pipeline_tag: text-classification
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  model-index:
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+ - name: bowphs_GreBerta_rhetores_classification
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+ results:
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+ - task:
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+ type: text-classification
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+ metrics:
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+ - name: f1
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+ type: f1
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+ value: 0.9014
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+ verified: false
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+ - task:
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+ type: text-classification
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+ metrics:
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+ - name: accuracy
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+ type: accuracy
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+ value: 0.9012
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+ verified: false
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+ metrics:
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+ - f1
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+ - accuracy
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  ---
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+ <img src="rhetores.jpg">
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @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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+ ```