datasets: ['vqav2', 'vg']
data_path: '/workspace_dataset/dataset_vqa'
label_path: '/workspace_dataset/dataset_experts'
experts: ['depth', 'normal', 'seg_coco', 'edge', 'obj_detection', 'ocr_detection']     # 'none' for PrismerZ

image_resolution: 480
prismer_model: 'prismer_base'  # 'prismer-large' for Prismer(Z)-Large
freeze: 'freeze_vision'

batch_size_train: 8   #   for 8 * 8 nodes [effective batch-size: 512]
batch_size_test: 32
init_lr: 5e-5
weight_decay: 0.05
min_lr: 0
max_epoch: 10

k_test: 16
inference: 'rank'