Parameter Efficient Fine Tuning On Winogrande
Metriken
Accuracy (% )
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (% ) |
|---|---|
| lora-low-rank-adaptation-of-large-language | 69.85 |
| gift-sw-gaussian-noise-injected-fine-tuning | 70.80 |
| dora-weight-decomposed-low-rank-adaptation | 70.09 |