Upload 2 files
Browse files- brainsemantoks_ckpt_epoch_100.pth +3 -0
- config_used.yaml +103 -0
brainsemantoks_ckpt_epoch_100.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:460c3078e0712cf5d16e8bb554cc59ab0ea07ff47cbacc63d3ef5bd60bbf5fd2
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size 987216594
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config_used.yaml
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data:
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augment_level:
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- 1
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- 1
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- 1
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- 1
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buckner_atlas: buckner7
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buckner_networks: 1
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buckner_rois: 7
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channels: all
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crop_starts: conditional_align
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datasets:
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- atlas_creation: online
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data_path: /sc-projects/sc-proj-cc15-preact-raw/HBN/sam_test/ukb/ukbb_ts_all_atlases_parallel_reordered.h5
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name: ukb
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raw_signal_length: 180
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train_subject_ids_path: /sc-projects/sc-proj-cc15-preact-raw/HBN/sam_test/ids/ukbb39k_train_subject_ids.npy
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max_crop_distance: 80
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max_spatial: false
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min_crop_distance: 0
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min_spatial: false
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name: fmri
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network_map_path: /sc-projects/sc-proj-cc15-preact-raw/HBN/sam_test/all_network_mappings_extended.npz
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number_of_crops: 2
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patch_size: 20
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schaefer_atlas: schaefer400
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schaefer_networks: 7
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schaefer_rois: 400
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target_signal_length: 100
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tian_atlas: tian3
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tian_networks: 1
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tian_rois: 50
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trans_mat_path: /sc-projects/sc-proj-cc15-preact-raw/HBN/sam_test/ds/transform_mat/
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dino:
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base_teacher_momentum: 0.99
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coeff: 1
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use_separate_mask_predictor: false
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masking:
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canonical_network_masks: false
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masking_frequency: 0.5
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masking_ratio:
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- 0.65
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- 0.85
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masking_type: slice
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model:
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backbone_type: cnn_tf
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cnn_dim: 768
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cnn_final_norm: layer
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depth: 8
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drop_path_rate: 0.0
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emb_dropout: 0.0
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embedding_dim: 768
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global_pooling: cls
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heads: 0
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layer_scale_init_value: 0.1
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mlp_dim: 0
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network_masking: false
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projection_bottleneck_dim: 128
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projection_hidden_dim: 1024
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projection_nlayers: 2
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projection_output_dim: 512
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tokenizer:
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config:
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- depthwise: false
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kernel_size: 3
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out_channels: 384
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type: dense
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- decay_max: 2.0
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decay_min: 2.0
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kernel_size: 4
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num_scales: 3
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out_channels: 384
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type: sgconv
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final_norm: layer
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pooling_type: mean
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model_type: simple_dino_tf
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optimizer:
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base_lr_scale: 0.0007
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lr_decay_rate: 1.0
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type: AdamW
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weight_decay: 0.05
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weight_decay_end: 0.3
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run_name: spat_seed21
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scheduler:
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warmup_epochs: 3
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ssl:
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cls_loss_weight: 1.0
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mask_loss_weight: 0.5
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netloss_decay_schedule: cosine
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netloss_weight_decay_epochs: 5
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network_loss_weight: 0.5
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training:
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batch_size: 512
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checkpoint_interval: 100
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epochs: 100
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gradient_accumulation_steps: 1
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log_interval: 1000
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num_workers: 8
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output_dir: ./output
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resume_checkpoint: null
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save_model: true
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seed: 21
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use_cuda: true
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