Multi-class Classification on Emotion (EM)
54.58AccuracySimPLE
Evaluation results
| Method | Links | |
|---|---|---|
| SimPLEModel Backbone=DeBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 54.58 | |
| DropoutModel Backbone=DeBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 53.69 | |
| SETREDModel Backbone=DeBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 52.42 | |
| PretrainModel Backbone=DeBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 51.93 | |
| SimPLEModel Backbone=RoBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 51.79 | |
| BaseSTModel Backbone=DeBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 51.24 | |
| DropoutModel Backbone=RoBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 50.99 | |
| BaseSTModel Backbone=RoBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 50.94 | |
| SETREDModel Backbone=RoBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 50.53 | |
| PretrainModel Backbone=RoBERTa-large, Number of Parameters=350M, Number of runs=32023.05 | 49.21 | |
| GPT-Neo-6bStrategy=Zero-shot, Number of Parameters=6b2023.05 | 42.7 |