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Benchmarks
Image Classification on ImageNet-R (OOD Evaluation)
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61.74
Accuracy
SFT-EM
49.0936
52.3768
55.66
58.9432
Feb 11, 2026
Accuracy
OOD Avg. Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
OOD Avg. Accuracy
SFT-EM
Model=Qwen2.5-VL-3B
2026.02
61.74
59.44
SFT-M
Model=Qwen2.5-VL-3B
2026.02
60.14
59.02
GRPO
Model=Qwen2.5-VL-3B
2026.02
57.66
58.31
SFT-EM
Model=Qwen2.5-VL-7B
2026.02
55.9
62.1
SFT-M
Model=Qwen2.5-VL-7B
2026.02
55.79
60.41
SFT
Model=Qwen2.5-VL-3B
2026.02
54.22
56.5
GRPO
Model=Qwen2.5-VL-7B
2026.02
51.38
59.48
SFT
Model=Qwen2.5-VL-7B
2026.02
49.58
57.62
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