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This collection presents the models fine-tuned for the participation of the Irapuarani team in SemEval-2025 Task 10, Subtask 2.
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g-assismoraes/deberta-semeval25task10-gpt2en
Text Classification • 0.2B • Updated • 1 -
g-assismoraes/deberta-semeval25task10-aya2en
Text Classification • 0.2B • Updated • 1 -
g-assismoraes/mdeberta-semeval25task10-domain
Text Classification • 0.3B • Updated • 3 -
g-assismoraes/mdeberta-semeval25task10
Text Classification • 0.3B • Updated • 1
Models fine-tuned on the SFinD dataset for Question-Answer alignment classification, producing outputs labeled as aligned or misaligned.
This collection presents the models fine-tuned for the participation of the Irapuarani team in SemEval-2025 Task 10, Subtask 2.
-
g-assismoraes/deberta-semeval25task10-gpt2en
Text Classification • 0.2B • Updated • 1 -
g-assismoraes/deberta-semeval25task10-aya2en
Text Classification • 0.2B • Updated • 1 -
g-assismoraes/mdeberta-semeval25task10-domain
Text Classification • 0.3B • Updated • 3 -
g-assismoraes/mdeberta-semeval25task10
Text Classification • 0.3B • Updated • 1
Fine-tuned "meta-llama/Llama-3.2-3B-Instruct" models for codified music sentiment analysis. See GitHub for details.
Models fine-tuned on the SFinD dataset for Question-Answer alignment classification, producing outputs labeled as aligned or misaligned.