Emotion Prediction on SNEP-Twitter (test)
84.95AUCELECTRA-our
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ELECTRA-ourModel Setting=Adaptation Model, Backbone=ELECTRA-large2023.05 | 84.95 | 89.83 | |
| BERT-ourModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 84.78 | 89.61 | |
| BERT-ourModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 84.06 | 89.62 | |
| BERT+CRM+MLMModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 83.72 | 89.33 | |
| BERT+CRMModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 83.61 | 89.22 | |
| BERT+CRM+MLMModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 83.48 | 88.92 | |
| ELECTRA-largeModel Setting=Adaptation Model, Backbone=ELECTRA-large2023.05 | 83.16 | 88.78 | |
| BERT+CRMModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 82.91 | 89.11 | |
| MPC-BERTModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 82.56 | 89.05 | |
| SPIDER-BERTModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 81.98 | 88.87 | |
| MPC-BERTModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 81.82 | 88.83 | |
| SPIDER-BERTModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 81.78 | 88.75 | |
| BERT-baseModel Setting=Adaptation Model, Backbone=BERT-base2023.05 | 81.5 | 88.25 | |
| BERT-baseModel Setting=Vanilla Model, Backbone=BERT-base2023.05 | 81.33 | 87.85 |