The experimental results reproduced on the Amos dataset were poor
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As shown in the picture，I experimented on the AMOS dataset, but the performance of the test results was poor. My network structure configuration is as follows. Have you done any experiments on the AMOS dataset?
root_path: ../../MEDICAL_DATASET/amos22
output: ./output
dataset: amos
split: train
num_classes: 13
max_iterations: 30000
max_epochs: 300
stop_epoch: 300
batch_size: 12
n_gpu: 3
deterministic: 1
base_lr: 0.005
img_size: 512
seed: 2345
vit_name: vit_b
ckpt: ../SAM-Adapter-PyTorch-main/SAM-Adapter-PyTorch-main/pretrained/sam_vit_b_01ec64.pth
lora_ckpt: None
rank: 5
warmup: True
warmup_period: 250
AdamW: True
module: sam_lora_image_encoder
dice_param: 0.9
is_pretrain: False
exp: amos_512
Sorry, right now we have tested only on Synapse, PROMISE12 and LA datasets. However, based on the performance on these 3 datasets, it is not reasonable to witness such a performance drop on AMOS. We can discuss to check on the training details.