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# 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
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