# Model Card for None  
*architecture*: Conv4_FC3  
*multi_network*: False  
*dropout*: 0.0  
*latent_space_dimension*: 64  
*latent_space_size*: 2  
*selection_metrics*: ['loss']  
*label*: diagnosis  
*selection_threshold*: 0.0  
*gpu*: True  
*n_proc*: 32  
*batch_size*: 32  
*evaluation_steps*: 20  
*seed*: 0  
*deterministic*: False  
*compensation*: memory  
*transfer_path*: ../../autoencoders/exp3/maps  
*transfer_selection_metric*: loss  
*use_extracted_features*: False  
*multi_cohort*: False  
*diagnoses*: ['AD', 'CN']  
*baseline*: True  
*normalize*: True  
*data_augmentation*: False  
*sampler*: random  
*n_splits*: 5  
*epochs*: 200  
*learning_rate*: 1e-05  
*weight_decay*: 0.0001  
*patience*: 10  
*tolerance*: 0.0  
*accumulation_steps*: 1  
*optimizer*: Adam  
*preprocessing_dict*: {'preprocessing': 't1-linear', 'mode': 'roi', 'use_uncropped_image': False, 'roi_list': ['leftHippocampusBox', 'rightHippocampusBox'], 'uncropped_roi': False, 'prepare_dl': False, 'file_type': {'pattern': '*space-MNI152NLin2009cSym_desc-Crop_res-1x1x1_T1w.nii.gz', 'description': 'T1W Image registered using t1-linear and cropped (matrix size 169×208×179, 1 mm isotropic voxels)', 'needed_pipeline': 't1-linear'}}  
*mode*: roi  
*network_task*: classification  
*caps_directory*: $WORK/../commun/datasets/adni/caps/caps_v2021  
*tsv_path*: $WORK/Aramis_tools/ClinicaDL_tools/experiments_ADDL/data/ADNI/train  
*validation*: KFoldSplit  
*num_networks*: 2  
*label_code*: {'AD': 0, 'CN': 1}  
*output_size*: 2  
*input_size*: [1, 50, 50, 50]  
*loss*: None