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ResearchFormerly WizWand

Supervised Fine-Tuning on MMLU Danish (test)

46.24MMLU ScoreTV + KMM
45.969646.039846.1146.1802May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
TV + KMMk=10, Pre-trained model=Qwen3-1.7b2026.0546.2420
One Step + KMMk=5, Pre-trained model=Qwen3-1.7b2026.0546.2129
DataModel-CSk=5, Pre-trained model=Qwen3-1.7b2026.0546.1927.5
GradEX-REk=15, Pre-trained model=Qwen3-1.7b2026.0546.1825
One Step + KMMk=15, Pre-trained model=Qwen3-1.7b2026.0546.1529
TVk=10, Pre-trained model=Qwen3-1.7b2026.0546.1517
Randomk=20, Pre-trained model=Qwen3-1.7b2026.0546.1512.5
One Stepk=15, Pre-trained model=Qwen3-1.7b2026.0546.1117.5
GradEX-FSk=5, Pre-trained model=Qwen3-1.7b2026.0546.1124.5
One Step + KMMk=10, Pre-trained model=Qwen3-1.7b2026.0546.129
TV + KMMk=15, Pre-trained model=Qwen3-1.7b2026.0546.120
One Step + KMMk=25, Pre-trained model=Qwen3-1.7b2026.0546.0829
TVk=15, Pre-trained model=Qwen3-1.7b2026.0546.0817
One Stepk=20, Pre-trained model=Qwen3-1.7b2026.0546.0617.5
One Stepk=5, Pre-trained model=Qwen3-1.7b2026.0546.0517.5
One Stepk=10, Pre-trained model=Qwen3-1.7b2026.0546.0517.5
TVk=5, Pre-trained model=Qwen3-1.7b2026.0546.0517
TVk=20, Pre-trained model=Qwen3-1.7b2026.0546.0517
TV + KMMk=5, Pre-trained model=Qwen3-1.7b2026.0546.0520
TV + KMMk=20, Pre-trained model=Qwen3-1.7b2026.0546.0520
One Step + KMMk=20, Pre-trained model=Qwen3-1.7b2026.0546.0229
DataModelk=5, Pre-trained model=Qwen3-1.7b2026.0545.997
One Stepk=25, Pre-trained model=Qwen3-1.7b2026.0545.9817.5
TVk=25, Pre-trained model=Qwen3-1.7b2026.0545.9817
TV + KMMk=25, Pre-trained model=Qwen3-1.7b2026.0545.9820