📊 Showing 3 results | 📏 Metric: Intent Accuracy
| Rank | Model | Paper | Intent Accuracy | Date | Code |
|---|---|---|---|---|---|
| 1 | mT5 Base (encoder-only) | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages | 86.10 | 2022-04-18 | 📦 alexa/massive 📦 pswietojanski/slurp 📦 ai4bharat/indicbert |
| 2 | mT5 Base (text-to-text) | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages | 85.30 | 2022-04-18 | 📦 alexa/massive 📦 pswietojanski/slurp 📦 ai4bharat/indicbert |
| 3 | XLM-R Base | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages | 85.10 | 2022-04-18 | 📦 alexa/massive 📦 pswietojanski/slurp 📦 ai4bharat/indicbert |