Intent Classification On Massive
Metrics
Intent Accuracy
Results
Performance results of various models on this benchmark
Model Name | Intent Accuracy | Paper Title | Repository |
|---|---|---|---|
| mT5 Base (text-to-text) | 85.3 | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages | |
| mT5 Base (encoder-only) | 86.1 | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages | |
| XLM-R Base | 85.1 | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages |
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