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Radiology Report Generation on Abdomen (test)

0.118BLEU-4X-RGen
0.096160.101830.10750.11317May 26, 2023

Evaluation results

MethodLinks
X-RGenModel category=generalist, Batch size (bs)=1922023.050.1180.3270.580.565—————
X-RGenmodel_category=generalist, training_batch_size=1922023.050.1180.327——0.4320.2690.1750.1610.322
X-RGenmodel_category=generalist, training_batch_size=962023.050.110.292——0.4090.2520.1620.1590.313
TransformerModel category=specialized, Batch size (bs)=162023.050.1080.2610.5590.546—————
Transformermodel_category=specialised2023.050.1080.261——0.4090.2470.1610.1420.314
X-RGenmodel_category=generalist, training_batch_size=162023.050.1080.276——0.3950.2430.1590.1520.305
X-RGenModel category=specialized, Batch size (bs)=162023.050.1060.1960.5650.559—————
X-RGenmodel_category=specialised2023.050.1060.196——0.3730.2280.1540.1370.314
R2GenModel category=specialized, Batch size (bs)=162023.050.1050.2480.5580.554—————
MSATModel category=specialized, Batch size (bs)=162023.050.1050.275———————
R2Genmodel_category=specialised2023.050.1050.248——0.3890.2410.1560.1430.309
MSATmodel_category=specialised2023.050.1050.275——0.410.2460.1570.140.286
R2Genmodel_category=generalist, optimized_on_merged_training_dataset=true, training_batch_size=162023.050.1040.28——0.3860.2380.1540.1440.297
R2GenCMNModel category=specialized, Batch size (bs)=162023.050.1020.1610.540.505—————
R2GenCMNmodel_category=specialised2023.050.1020.161——0.3610.2310.1510.1350.31
R2GenModel category=generalist, Batch size (bs)=1922023.050.10.2710.5610.549—————
R2Genmodel_category=generalist, optimized_on_merged_training_dataset=true, training_batch_size=1922023.050.10.271——0.3970.240.1510.1530.296
R2Genmodel_category=generalist, optimized_on_merged_training_dataset=true, training_batch_size=962023.050.0970.271——0.4070.2440.150.1550.297