from runfiles.micro_auc_scripts.usage import micro_auc_1dataset_usage

if __name__ == '__main__':
    loss_mode = ["pairwise2"]
    micro_auc_1dataset_usage(
        dataset_name="coco",
        des="batch_learning_vgg",
        measure='micro-auc',
        py_file="batch_learning.py",
        seed_list=[2222],
        epoch=40,
        batch_size=256,
        opt="sgd",
        cu="2,3",
        lr=0.02,
        weight_decay_list=[1e-4,1e-5,1e-6],
        loss_modes=loss_mode
    )


