Uploading None in /Users/camille.brianceau/aramis/maps

README.md

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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