Fine-tuned
mDeBERTa V3
model for subjectivity detection in newspaper sentences.
This model was developed as part of the CLEF 2023 CheckThat! Lab
Task 2: Subjectivity in News Articles
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The goal in this task is to detect whether a sentence is objective (OBJ) or subjective (SUBJ). A sentence is subjective if its content is based on or influenced by personal feelings, tastes, or
opinions. Otherwise, the sentence is objective.
(Antici et al., 2023)
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The model was fine-tuned using a multilingual training and Arabic development dataset, for which the following (hyper)parameters were utilized:
Batch Size = 16
Max Epochs = 4
Learning Rate = 5e-5
Warmup Steps = 500
Weight Decay = 0
The model ranked second in the CheckThat! Lab and obtained a macro F1 of 0.78 and a SUBJ F1 of 0.64.