EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods
Table 6: Testing results
['[BOLD] Model', '[BOLD] MAR@6']
Ensemble models achieve about 0.5662 MAR@6 score, while only using single type of model only gets 0.5404. This indicates single type of model may be slightly worse in testing data. Applying ensemble methods does solve this problem. Overall, our proposed system successfully outperforms with either using original pre-trained language model to fine-tune or EmotionGIF official baseline. Our approach achieves high MAR@6 score both on validation data and testing data in this competition.