devision / evaluation /results.md
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deVision v0.4 (github model-v0.4, 0df9a73b091e0e8167f554da83a4034140354443)
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deVision v0.4 evaluation

Generated by scripts/release/hf.py from the evaluation of this release.

Set Questions Accuracy Mismatched NLL ECE
COCO object presence 1,120 0.955 0.497 0.196 0.092
VQAv2 multiple choice 1,453 0.905 0.370 0.280 0.053
COCO size 1,198 0.870 0.516 0.506 0.234
POPE, project filtered set 9,000 0.865 0.520 0.363 0.048
GQA val subset 986 0.843 0.546 0.383 0.086
COCO position 1,276 0.938 0.509 0.238 0.047
VQAv2 yes/no subset 1,000 0.722 0.500 0.571 0.055
COCO relative position 2,366 0.917 0.480 0.281 0.037
VSR, project held-out split 902 0.731 0.460 0.591 0.073
Visual7W, project held-out split 1,000 0.783 0.442 0.597 0.073
CountBench, 0–10 choices 491 0.501 0.102 1.387 0.166
COCO mirrored position 640 0.933 0.503 0.283 0.053
COCO mirrored relative position 1,786 0.914 0.494 0.300 0.049
What'sUp 820 0.467 0.233 1.214 0.093

Laya Vision 201M, same questions

Set Questions Laya Vision deVision Difference
VQAv2 yes/no 4,887 0.717 0.756 +3.9 [+2.4, +5.3]
A-OKVQA 1,138 0.598 0.634 +3.5 [+0.3, +6.6]
ScienceQA with images 2,097 0.824 0.821 -0.3 [-2.2, +1.7]
ScienceQA natural science, needs the picture 323 0.700 0.638 -6.2 [-12.7, +0.0]

On the full POPE random / popular / adversarial sets (3,000 questions each) deVision scores 0.899 / 0.873 / 0.824, against Laya Vision's published 0.836 / 0.819 / 0.777 (aggregate scores only, not paired).

Temperatures

Bucket Temperature
Choice, 2 options 3.5631
Choice, 3–5 options 2.1146
Noul (yes / no) 1.0895
Choice, any other count 2.3642