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

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+ # Model Card for None
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+ **architecture**: Conv4_FC3
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+ **multi_network**: False
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+ **dropout**: 0.0
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+ **latent_space_dimension**: 64
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+ **latent_space_size**: 2
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+ **selection_metrics**: ['loss']
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+ **label**: diagnosis
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+ **selection_threshold**: 0.0
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+ **gpu**: True
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+ **n_proc**: 32
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+ **batch_size**: 32
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+ **evaluation_steps**: 20
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+ **seed**: 0
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+ **deterministic**: False
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+ **compensation**: memory
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+ **transfer_path**: ../../autoencoders/exp3/maps
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+ **transfer_selection_metric**: loss
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+ **use_extracted_features**: False
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+ **multi_cohort**: False
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+ **diagnoses**: ['AD', 'CN']
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+ **baseline**: True
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+ **normalize**: True
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+ **data_augmentation**: False
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+ **sampler**: random
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+ **n_splits**: 5
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+ **epochs**: 200
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+ **learning_rate**: 1e-05
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+ **weight_decay**: 0.0001
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+ **patience**: 10
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+ **tolerance**: 0.0
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+ **accumulation_steps**: 1
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+ **optimizer**: Adam
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+ **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'}}
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+ **mode**: roi
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+ **network_task**: classification
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+ **caps_directory**: $WORK/../commun/datasets/adni/caps/caps_v2021
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+ **tsv_path**: $WORK/Aramis_tools/ClinicaDL_tools/experiments_ADDL/data/ADNI/train
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+ **validation**: KFoldSplit
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+ **num_networks**: 2
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+ **label_code**: {'AD': 0, 'CN': 1}
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+ **output_size**: 2
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+ **input_size**: [1, 50, 50, 50]
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+ **loss**: None