Sentiment Classification on UIT-VSFC (test)
94.16AccuracyCafeBERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CafeBERT2024.03 | 94.16 | 84.29 | |
| XLM-RobertaSize=large2024.03 | 94.13 | 83.7 | |
| PhoBERTArchitecture=base, Optimizer=AdamW, Batch size=322026.07 | 94.1 | 83.27 | |
| BamiBERTArchitecture=base, Optimizer=AdamW, Batch size=322026.07 | 93.86 | 83.41 | |
| XLM-RoBERTaArchitecture=base, Optimizer=AdamW, Batch size=322026.07 | 93.56 | 82.2 | |
| PhoBERTSize=large2024.03 | 93.43 | 82.81 | |
| ViSoBERTArchitecture=base, Optimizer=AdamW, Batch size=322026.07 | 93.15 | 81.49 | |
| mBERT2024.03 | 91.88 | 78.67 | |
| ViDeBERTaArchitecture=base, Optimizer=AdamW, Batch size=322026.07 | 87.86 | 70.74 |