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Table 5 Evaluation result of Sundanese Twitter emotion classification

From: Pre-trained transformer-based language models for Sundanese

Model

#Params

Accuracy

F1-Macro

Baseline

 Linear SVC with TF-IDF [18]

30K

96.43

96.36

Sundanese (Ours)

 Sundanese GPT-2

124M

94.84

94.75

 Sundanese BERT

110M

96.82

96.75

 Sundanese RoBERTa

124M

98.41

98.43

Indonesian

 IndoBERT [31]

124M

96.43

96.42

Multilingual

   

 mBERT [6]

167M

96.83

96.79

 XLM-RoBERTa [20]

278M

95.24

95.22