Text Classification on MASSIVE (test)
78.6AccuracyRETVec
Evaluation results
| Method | Links | |
|---|---|---|
| RETVecModel=BERT2023.02 | 78.6 | |
| RETVec-rawModel=BERT2023.02 | 78.1 | |
| RETVecModel=RNN2023.02 | 73.8 | |
| RETVec-rawModel=RNN2023.02 | 71 | |
| WhitespaceModel=BERT2023.02 | 70.6 | |
| WhitespaceModel=CNN2023.02 | 70.4 | |
| WhitespaceModel=RNN2023.02 | 70.3 | |
| SentencePieceModel=RNN2023.02 | 69.6 | |
| SentencePieceModel=CNN2023.02 | 69.2 | |
| BPEModel=RNN2023.02 | 68.6 | |
| SentencePieceModel=BERT2023.02 | 67.8 | |
| RETVecModel=CNN2023.02 | 66.7 | |
| BPEModel=BERT2023.02 | 66.2 | |
| RETVec-rawModel=CNN2023.02 | 59.8 | |
| BPEModel=CNN2023.02 | 59.2 | |
| fastTextModel=BERT2023.02 | 23.9 | |
| fastTextModel=RNN2023.02 | 13.5 | |
| fastTextModel=CNN2023.02 | 12.6 |