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Radiology Report Generation on Shoulder (test)

0.099B4X-RGen
0.079240.084370.08950.09463May 26, 2023

Evaluation results

MethodLinks
X-RGenModel Category=generalist, training batch size=962023.050.0990.272——0.3690.2250.1450.1390.304
X-RGenModel category=generalist, Batch size (bs)=1922023.050.0960.28751.448.2—————
R2GenModel Category=generalist, optimized on merged training dataset=true, training batch size=1922023.050.0960.277——0.380.2310.1450.1440.299
X-RGenModel Category=generalist, training batch size=1922023.050.0960.287——0.3890.2340.1460.1410.302
R2GenModel Category=generalist, optimized on merged training dataset=true, training batch size=962023.050.0950.274——0.3740.2250.1420.1420.297
TransformerModel category=specialized, Batch size (bs)=162023.050.0880.19246.342—————
X-RGenModel category=specialized, Batch size (bs)=162023.050.0880.19750.847.4—————
TransformerModel Category=specialised2023.050.0880.192——0.3630.2190.1380.1230.301
X-RGenModel Category=specialised2023.050.0880.197——0.3530.2110.1330.1290.304
X-RGenModel Category=generalist, training batch size=162023.050.0840.22——0.350.2070.1280.1330.288
R2GenModel Category=specialised2023.050.0820.174——0.3580.2130.130.1220.307
R2GenCMNModel Category=specialised2023.050.0820.134——0.3480.210.1290.1190.297
R2GenModel Category=generalist, optimized on merged training dataset=true, training batch size=162023.050.0820.186——0.3550.2120.1310.1320.299
MSATModel Category=specialised2023.050.080.173——0.3640.2210.1310.1230.297