SAMI / Simulation2 /default.yaml
GAO612's picture
Add files using upload-large-folder tool
7bd444b verified
Raw History Blame Contribute Delete
2.08 kB
seed: 42
data:
train_dir: "./sami/Simulation2/processed_simulation2.h5ad"
val_dir: ""
infer_dir: "./data/infer"
file_pattern: "*.h5ad"
omics1_obsm_key: "rna_feat_pca"
omics2_obsm_key: "protein_feat"
omics1_target_obsm_key: "rna_feat_pca"
omics2_target_obsm_key: "protein_feat"
batch_size: 1
num_workers: 0
pin_memory: false
model:
branch_mode: "multimodal_fusion" # Options: "omics1", "omics2", "multimodal_fusion"
hidden_dim: 64
omics1_in_dim: 50
omics2_in_dim: 100
omics1_target_dim: 50
omics2_target_dim: 100
omics1_encoder:
feature_adapter:
adapter_type: "mlp_bottleneck"
adapter_dim: 64
dropout: 0.1
force_linear: false
omics1_augmentation:
enabled: false
alpha: 0.5
omics2_encoder:
adapter_type: "mlp_bottleneck"
adapter_dim: 64
dropout: 0.1
force_linear: false
graph:
top_k: 6
symmetrize: true
add_self_loops: false
chunk_size: 512
graph_backbone:
omics1:
type: "pointnext"
use_layer_transformer: true
omics2:
type: "pointnext"
use_layer_transformer: true
pointnext:
expansion: 4
dropout: 0.1
max_neighbors: null
pooling: "mean"
cross_modal_attention:
num_heads: 4
dropout: 0.1
gat:
num_layers: 3
omics1_num_layers: 3
omics2_num_layers: 3
num_heads: 4
dropout: 0.1
leaky_relu_negative_slope: 0.2
layer_transformer:
num_heads: 4
ff_dim: 256
dropout: 0.1
pooling: "mean"
fusion:
mlp_hidden_dim: 256
dropout: 0.1
train:
device: "cuda"
epochs: 100
lr: 1.0e-3
weight_decay: 1.0e-4
grad_clip_norm: 5.0
amp: false
log_interval: 10
output_dir: "./outputs"
save_every: 20
loss:
lambda_omics1: 10.0
lambda_omics2: 10.0
lambda_contrastive: 0.5
lambda_consistency: 1.0
contrastive:
use_symmetric_loss: false
consistency:
temperature: 0.1
projector_hidden_dim: 128
projector_out_dim: 64
infer:
checkpoint_path: ""
output_path: "./outputs/infer_embeddings.pt"
save_reconstruction: false