Intent Classification On Slurp
Metriken
Accuracy (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (%) |
|---|---|
| efficient-sequence-transduction-by-jointly | 90.07 |
| slurp-a-spoken-language-understanding-1 | 78.33 |
| finstreder-simple-and-fast-spoken-language | 43.15 |
| finstreder-simple-and-fast-spoken-language | 53.11 |
| a-fine-tuned-wav2vec-2-0-hubert-benchmark-for | 87.51 |