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Comparison of proposed transformer based model accuracy with baseline models.
| Model dataset | COVIDSenti | COVIDSenti_A | COVIDSenti_B | COVIDSenti_C |
|---|---|---|---|---|
| Existing models/Accuracy | ||||
| distilBERT | 93.09% | 93.07% | 92.09% | 92.06% |
| BERT | 94.08% | 94.01% | 93.07% | 92.02% |
| XLNET | 93.03% | 92.04% | 91.04% | 92.00% |
| ALBERT | 92.09% | 91.04% | 92.00% | 91.01% |
| Proposed model/Accuracy | ||||
| Multi-depth DistilBERT | 96.66% | 95.22% | 94.33% | 93.88% |
| Gain | 2.58% | 1.21% | 1.26% | 1.82% |
The bold ones represent better results.
