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Check out the documentation for more information.

Dataset

Task Num
Grounding 20973
Classification 30000
total 50973

Note: the difference of sft_v3 and sft_v2 is the num of training data, i.e., sft_v3 has near 10 times as much training data as sft_v2.

Train

Global Batchsize: 32
LoRA Rank: 32
1 epoch ~= 1600 step

Eval

Chexpert (macro F1) MS-CXR ChestXray Vindr-cxr Overall
chexfound 51.1 \ \ \
eva-x 41.2 \ \ \
unichest 60.7 \ \ \
sft-v3-step1000 60.8 38.2 20.7 27.9 36.90
sft-v3-step1250 55.6 46.0 19.2 30.9 37.92
sft-v3-step1500 61.4 52.3 22.6 31.8 42.02
sft-v3-step1750 59.5 49.9 23.2 30.5 40.77
sft-v3-step2000 62.7 52.5 23.2 32.2 42.65
sft-v3-step2250 62.0 54.7 22.4 32.9 43.00
sft-v3-step2500 56.6 56.2 23.6 32.6 42.25
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